ArticlePDF Available

Is prior course of illness relevant to acute or longer-term outcomes in depressed out-patients? A STAR*D report

Authors:

Abstract and Figures

Major depressive disorder (MDD) is commonly chronic and/or recurrent. We aimed to determine whether a chronic and/or recurrent course of MDD is associated with acute and longer-term MDD treatment outcomes. This cohort study recruited out-patients aged 18-75 years with non-psychotic MDD from 18 primary and 23 psychiatric care clinics across the USA. Participants were grouped as: chronic (index episode >2 years) and recurrent (n = 398); chronic non-recurrent (n=257); non-chronic recurrent (n=1614); and non-chronic non-recurrent (n = 387). Acute treatment was up to 14 weeks of citalopram (≤ 60 mg/day) with up to 12 months of follow-up treatment. The primary outcomes for this report were remission [16-item Quick Inventory of Depressive Symptomatology - Self-Rated (QIDS-SR(16)) ≤ 5] or response (≥ 50% reduction from baseline in QIDS-SR(16)) and time to first relapse [first QIDS-SR16 by Interactive Voice Response (IVR) ≥ 11]. Most participants (85%) had a chronic and/or recurrent course; 15% had both. Chronic index episode was associated with greater sociodemographic disadvantage. Recurrent course was associated with earlier age of onset and greater family histories of depression and substance abuse. Remission rates were lowest and slowest for those with chronic index episodes. For participants in remission entering follow-up, relapse was most likely for the chronic and recurrent group, and least likely for the non-chronic, non-recurrent group. For participants not in remission when entering follow-up, prior course was unrelated to relapse. Recurrent MDD is the norm for out-patients, of whom 15% also have a chronic index episode. Chronic and recurrent course of MDD may be useful in predicting acute and long-term MDD treatment outcomes.
Content may be subject to copyright.
Is prior course of illness relevant to acute or
longer-term outcomes in depressed out-patients?
A STAR*D report
A. J. Rush
1
, S. R. Wisniewski
2
, S. Zisook
3
, M. Fava
4
, S. C. Sung
1
, C. L. Haley
1
, H. N. Chan
5
,
W. S. Gilmer
6
, D. Warden
7
, A. A. Nierenberg
4
, G. K. Balasubramani
2
, B. N. Gaynes
8
, M. H. Trivedi
6
*
and S. D. Hollon
9
1
Office of Clinical Sciences, Duke-NUS Graduate Medical School Singapore, Singapore
2
Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
3
Department of Psychiatry, University of California, San Diego, San Diego VA Medical Center, San Diego, CA, USA
4
Depression Clinical and Research Program, Massachusetts General Hospital, Boston, MA, USA
5
Department of Psychiatry, Singapore General Hospital, Singapore
6
Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
7
Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, USA
8
Department of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, NC, USA
9
Department of Psychology, Vanderbilt University, Nashville, TN, USA
Background. Major depressive disorder (MDD) is commonly chronic and/or recurrent. We aimed to determine
whether a chronic and/or recurrent course of MDD is associated with acute and longer-term MDD treatment
outcomes.
Method. This cohort study recruited out-patients aged 18–75 years with non-psychotic MDD from 18 primary and 23
psychiatric care clinics across the USA. Participants were grouped as : chronic (index episode >2 years) and recurrent
(n=398); chronic non-recurrent (n=257); non-chronic recurrent (n=1614); and non-chronic non-recurrent (n=387).
Acute treatment was up to 14 weeks of citalopram (f60 mg/day) with up to 12 months of follow-up treatment.
The primary outcomes for this report were remission [16-item Quick Inventory of Depressive Symptomatology – Self-
Rated (QIDS-SR
16
)f5] or response (o50 % reduction from baseline in QIDS-SR
16
) and time to first relapse [first
QIDS-SR
16
by Interactive Voice Response (IVR) o11].
Results. Most participants (85 %) had a chronic and/or recurrent course; 15 % had both. Chronic index episode was
associated with greater sociodemographic disadvantage. Recurrent course was associated with earlier age of onset
and greater family histories of depression and substance abuse. Remission rates were lowest and slowest for those
with chronic index episodes. For participants in remission entering follow-up, relapse was most likely for the chronic
and recurrent group, and least likely for the non-chronic, non-recurrent group. For participants not in remission
when entering follow-up, prior course was unrelated to relapse.
Conclusions. Recurrent MDD is the norm for out-patients, of whom 15 % also have a chronic index episode. Chronic
and recurrent course of MDD may be useful in predicting acute and long-term MDD treatment outcomes.
Received 23 February 2011 ; Revised 2 September 2011; Accepted 13 September 2011 ; First published online 19 October 2011
Key words : Chronic, course of illness, depression, outcomes, recurrent.
Introduction
The symptomatic course of major depressive disorder
(MDD) is variable. Some patients have only a single
brief major depressive episode (MDE) but most
patients will suffer several lifetime episodes (Solomon
et al. 1997). Between MDEs, symptom levels vary from
full recovery (i.e. absence of symptoms) to a continu-
ing clinically important level of symptoms that rarely,
if ever, remit. MDE lengths can vary from weeks to
years (Kanai et al. 2003; Gilmer et al. 2005). Chronic
and recurrent courses of illness are associated with
earlier onset, greater symptom severity, suicidality,
psychiatric and medical co-morbidity, familial loading
and service utilization (Gilmer et al. 2005; Hollon et al.
2006; Mondimore et al. 2006; Angst et al. 2009 ;
Satyanarayana et al. 2009; Blanco et al. 2010). Longer
* Address for correspondence : M. H. Trivedi, M.D., University of
Texas Southwestern Medical Center at Dallas, Bass Center, 6363 Forest
Park Road, 13.354, Dallas, TX 75235, USA.
(Email : madhukar.trivedi@utsouthwestern.edu)
Psychological Medicine (2012), 42, 1131–1149. fCambridge University Press 2011
doi:10.1017/S0033291711002170
ORIGINAL ARTICLE
episodes, more episodes and incomplete inter-episode
recovery each suggest the need for longer-term main-
tenance treatment in this population (Depression
Guideline Panel, 1993; APA, 2000a; Anderson et al.
2008; Nutt, 2010).
Recent studies have examined the prevalence and
correlates of chronic and/or recurrent MDD in com-
munity and primary care settings to better understand
the impact of prior course on subsequent depressive
illness. Prospective longitudinal community studies
have found that individuals with a chronic course
of adolescent-onset MDD report less favorable adult
outcomes than those with an episodic course, as evi-
denced by greater psychiatric co-morbidity, suicide
attempts, more frequent and longer duration of treat-
ment, and a greater number of recurrent episodes
(Jonsson et al. 2011). A more chronic/recurrent course
during adolescence (defined using a composite score
based on age of onset, recurrence and duration of
illness) has also been associated with poorer adult
psychosocial functioning in several domains (Pettit
et al. 2009). Prospective data from adult primary care
settings indicate that greater severity of MDD at
baseline is associated with a more chronic course
when assessed at 18-month (Vuorilehto et al. 2009) and
39-month follow-up (Stegenga et al. 2010). A recent
comparison of primary care patients with single-
episode versus recurrent MDD also found that symp-
tom severity was greater among those with recurrent
episodes (Roca et al. 2011).
These studies suggest that prior course of illness is
an important contributor to longer-term outcomes in
MDD, but the literature in this area has been marked
by numerous methodological limitations. The lack of
consistent definitions of chronic and recurrent MDD
makes it difficult to compare and interpret results
across studies. Furthermore, many patients with
chronic MDD will also experience recurrent episodes,
but few studies have attempted to tease out the com-
bined and independent contribution of these two
aspects of prior course. Those studies that have
examined chronic and recurrent MDD in isolation
have neglected the considerable overlap between
these two constructs (Klein, 2008 ; Pettit et al. 2009),
whereas those that lump them together artificially
conflate two related but distinct aspects of MDD.
Despite growing research interest in understanding
the impact of prior course on longer-term outcomes
(e.g. Kaymaz et al. 2008; Pettit et al. 2009; Klein, 2010),
few studies have attempted to fully examine the extent
to which recurrence and/or chronicity affect treatment
outcomes in representative samples of out-patients
with MDD. Data from acute treatment efficacy and
longer-term maintenance trials do not adequately
describe outcomes based on patients’ prior course of
illness. For example, many acute trials exclude chronic
patients (i.e. with a current MDE of >2 years) and do
not provide long-term follow-up. Longer-term main-
tenance trials may selectively enroll patients with re-
current depression (either with or without a chronic
index episode), thereby excluding those with non-
chronic non-recurrent depressions. Consequently,
these studies do not provide a full picture of baseline
sociodemographic or clinical features, or acute and
longer-term outcomes, in representative patients over
a full range of prior illness courses (i.e. single brief
episode, single chronic episode, non-chronic recurrent
episodes, and both chronic and recurrent episodes).
To address this information gap, we analyzed data
from the Sequenced Treatment Alternatives to Relieve
Depression (STAR*D) sample (Fava et al. 2003; Rush
et al. 2004; Trivedi et al. 2006) (www.star-d.org) with
participants defined by their prior illness course. Both
acute and longer-term outcomes were obtained. Based
on participant self-report and DSM-IV (APA, 2000b)
definitions, we created four participant groups : those
who had both a chronic (>2-year) index episode
and a recurrent course (BOTH) ; those who had only a
chronic index episode (CHRONIC-ONLY) ; those who
had only a recurrent course (RECURRENT-ONLY) ;
and those who had neither a chronic index episode nor
a recurrent course (NEITHER). This report addresses
the following questions:
(1) Do these patient groups have different baseline
sociodemographic and clinical features?
(2) Do these patient groups differ in terms of acute
treatment symptomatic outcomes with citalo-
pram?
(3) Do these patient groups differ regarding longer-
term treatment symptomatic outcomes with cita-
lopram?
Method
Study overview and organization
The STAR*D trial aimed to define the next best treat-
ment steps for out-patients with non-psychotic MDD
if the initial treatment with the selective serotonin re-
uptake inhibitor (SSRI) citalopram did not produce an
acceptable outcome (e.g. remission with acceptable
tolerance). The rationale, methods and design of the
STAR*D trial have been detailed elsewhere (Fava et al.
2003; Rush et al. 2004).
The study was conducted at 18 primary and 23
psychiatric care settings serving public and private
sector patients. Clinical Research Coordinators (CRCs)
at each Clinical Site assisted participants and clinicians
in protocol implementation. Neither participants nor
clinicians were masked to treatment.
1132 A. J. Rush et al.
Participants
From July 2001 to April 2004, STAR*D enrolled out-
patients aged 18–75 years with non-psychotic MDD.
All risks, benefits and adverse events associated with
STAR*D participation were explained to the partici-
pants, who provided written informed consent prior
to study entry. The protocol was approved and moni-
tored by the National Coordinating Center (University
of Texas Southwestern Medical Center, Dallas, TX,
USA), the Data Coordinating Center (University of
Pittsburgh, Pittsburgh, PA, USA), the Institutional Re-
view Boards at each Clinical Site and Regional Center,
and the Data Safety and Monitoring Board of the
National Institute of Mental Health (NIMH ; Bethesda,
MD, USA).
Only self-declared out-patients seeking medical
care were eligible; recruiting by advertisements was
proscribed. Broad inclusion and minimal exclusion
criteria ensured a widely representative sample of
participants. Out-patients with a baseline score o14
on the 17-item Hamilton Rating Scale for Depression
(HAMD
17
; Hamilton, 1960, 1967) (by CRC evaluation)
were eligible if their clinicians determined that out-
patient treatment with an antidepressant medication
was both safe and indicated. Patients were excluded
if they had bipolar or psychotic disorders ; a primary
diagnosis of obsessive–compulsive or eating disorder;
substance dependence requiring in-patient detoxifica-
tion; a clear history of non-response or intolerance
(in the current MDE) to, or general medical conditions
(GMCs) contraindicating, any protocol medication
in the first two treatment steps; or were pregnant,
planning to become pregnant, or breastfeeding (Rush
et al. 2004).
Diagnostic and outcome measures
Clinicians’ diagnoses of non-psychotic MDD were
confirmed by a checklist using DSM-IV (APA, 2000b)
criteria. Prior personal and family histories, and
sociodemographic and clinical information, were
gathered using self-reports. The Psychiatric Diagnostic
Screening Questionnaire (PDSQ; Zimmerman &
Mattia, 2001a,b; Rush et al. 2005 b) (completed at
baseline) determined the presence/absence of 11
potential concurrent Axis I (psychiatric) disorders
(using a 90% specificity threshold). The CRCs ob-
tained the initial HAMD
17
and the 16-item Quick
Inventory of Depressive Symptomatology – Clinician-
rated (QIDS-C
16
) and Self-report (QIDS-SR
16
) (Rush
et al. 2003, 2006 a; Trivedi et al. 2004) to assess de-
pressive symptom severity at each clinic visit. The
QIDS-C
16
was used to inform dose adjustments. The
CRCs also completed the 14-item Cumulative Illness
Rating Scale (CIRS; Linn et al. 1968; Miller et al. 1992)
to gauge the severity/morbidity of GMCs relevant to
different organ systems. Each of the 14 illness cat-
egories was scored 0 (no problem) to 4 (extremely se-
vere/immediate treatment required/end organ
failure/severe impairment in function). CIRS scores
included Categories Endorsed (0–14) (the number of
co-morbid GMCs), Severity Index (0–4) (the average
severity of the categories endorsed), and Total Severity
(the number of categories endorsed multiplied by the
average severity).
Courses of illness were defined by participant
self-report elicited by the CRC. If the index episode
was >2 years, a chronic index episode was ascribed,
consistent with DSM-IV. If participants had more than
one episode (inclusive of the index episode), a recur-
rent course was ascribed. Thus, four groups were
created: chronic recurrent (BOTH); chronic non-
recurrent (CHRONIC-ONLY); non-chronic recurrent
(RECURRENT-ONLY); and non-chronic non-
recurrent (NEITHER).
Research Outcome Assessors (ROAs) not located at
any clinical site collected the HAMD
17
and the 30-item
Inventory of Depressive Symptomatology – Clinician-
rated (IDS-C
30
; Rush et al. 1996, 2000; Trivedi et al.
2004) using telephone-based structured interviews in
English or Spanish. Responses to items on the baseline
IDS-C
30
or the HAMD
17
were used to estimate the
presence of atypical (Novick et al. 2005), anxious (Fava
et al. 2004a) and melancholic (Khan et al. 2006) symp-
tom features.
For this report, the outcomes in acute treatment
were computed based on the QIDS-SR
16
(primary
outcome) and the HAMD
17
, which was obtained at
baseline and at the end of acute treatment. Response
was defined as either a o50 % reduction from base-
line in the QIDS-SR
16
or in the HAMD
17
. Remission
was defined as an exit QIDS-SR
16
of f5 or an exit
HAMD
17
f7. Of the two, we chose the QIDS-SR
16
as the primary outcome for this report because it
had fewer missing data than the HAMD
17
and because
it compares well with the QIDS-SR obtained by
Interactive Voice Response (IVR) drug follow-up
(Rush et al. 2006b). Participants who had missing
HAMD
17
ratings were assigned to the not-remitted
group.
In follow-up, all of the outcomes relied on the QIDS-
SR
16
, which was obtained by the telephone-based IVR
system (Rush et al. 2006 a). Relapse was defined a priori
when the QIDS-SR
16
by the IVR was o11, which is
equivalent to an HAMD
17
score of o14 (Rush et al.
2003). The QIDS-SR
16
was chosen as the primary (in
fact sole) longer-term outcome because previous work
(Rush et al. 2005a, 2006a,b; Carmody et al. 2006 ;
Bernstein et al. 2007) has found the QIDS-SR
16
by paper
Prior course of illness and depression treatment outcomes 1133
and pencil, and the QIDS-SR by IVR each relate
highly to the QIDS-C
16
(clinician rating) and the
HAMD
17
.
Intervention and measurement-based care
The aim of treatment was to achieve symptom re-
mission (defined by a QIDS-C
16
score f5 collected at
each treatment visit). The protocol (Fava et al. 2003 ;
Rush et al. 2004) required a fully adequate dose of
citalopram for a sufficient time to ensure that par-
ticipants who did not reach remission were truly re-
sistant to the medication. Citalopram was selected as
a representative SSRI because of the relative absence
of discontinuation symptoms, demonstrated safety in
elderly and medically fragile patients, once-a-day
dosing, the small number of dose adjustment steps
and a favorable drug–drug interaction profile (Fava
et al. 2003; Rush et al. 2004).
High-quality measurement-based care was pro-
vided by use of a clinician manual (www.star-d.org),
initial didactic instruction, ongoing support and
guidance by the CRC, the systematic evaluation of
symptoms (QIDS-C
16
completed by the CRC) and side-
effects [Frequency, Intensity and Burden of Side
Effects Ratings (FIBSER); Wisniewski et al. 2006] at
each visit to guide treatment, and a centralized treat-
ment monitoring and feedback system (Trivedi et al.
2006, 2007).
Treatment aimed to optimally dose citalopram
following dosing recommendations in the treatment
manual, which also allowed individualized starting
doses and dose adjustments to minimize side-
effects, maximize safety and optimize the chances of
therapeutic benefit for each participant. Appropriate
flexibility was allowed so that participants with con-
comitant GMCs, substance abuse/dependence or
other psychiatric disorders could be included safely in
the sample.
The protocol recommended treatment visits at
weeks 2, 4, 6, 9 and 12 (with an optional week-14 visit
if needed). After an optimal trial (based on dose and
duration), responders (defined as those with o50 %
improvement over their baseline QIDS-C
16
score)
could enter the 12-month naturalistic follow-up,
although all participants without remission (QIDS-C
16
>5) were encouraged to enter the subsequent
randomized trial. Participants could discontinue
citalopram before 12 weeks if (a) intolerable side-
effects required a medication change, (b) an optimal
dose increase was not possible due to side-effects or
participant choice, or (c) significant symptoms (QIDS-
C
16
o9) were present after 9 weeks at maximally
tolerated doses. Participants could opt to move to the
next treatment level if they experienced intolerable
side-effects or if the QIDS-C
16
score was >5 after an
adequate trial in terms of dose and duration. In follow-
up, the protocol recommended that participants be
seen for clinic visits every 2–3 months with measures
gathered by IVR every month.
Safety assessments
In addition to the FIBSER completed by participants
at each treatment visit to measure the frequency,
intensity and global burden of side-effects, serious
adverse events (SAEs) were monitored using a multi-
tier approach involving the CRCs, study clinicians,
the IVR system, the clinical manager, the safety offi-
cers, the Regional Center Directors (Nierenberg et al.
2004) and the NIMH Data Safety and Monitoring
Board.
Concomitant medications
Concomitant treatments were permitted for current
GMCs (as part of ongoing clinical care), for associated
symptoms of depression (e.g. sleep, anxiety, agitation)
and for citalopram side-effects (e.g. insomnia, sexual
dysfunction) based on clinical judgment. Stimulants,
anticonvulsants, antipsychotics, alprazolam, non-
protocol antidepressants (except trazodone f200 mg
at bedtime for insomnia) and depression-targeted
psychotherapies were proscribed.
Statistical analysis
All analyses were based on the analyzable sample
(n=2656) (Trivedi et al. 2006). Summary statistics
(mean percentages) of the sociodemographic, clinical
and treatment characteristics (e.g. maximum dose
achieved, number of treatment visits), in addition to
SAEs and side-effects, are presented by prior course of
illness (PCI) status. x
2
and one-way ANOVAs com-
pared the discrete and continuous baseline character-
istics, respectively, by PCI status. Logistic regression
models assessed the association of PCI with depress-
ive symptom outcomes (e.g. remission, response),
independent of the effect of Regional Center and in-
dependent of baseline differences between those with
various PCIs. Kaplan–Meier curves estimated the
cumulative proportion of remission and response
and also the cumulative proportion of relapse by
PCI. Log-rank tests were used to test for differences
in the cumulative proportions among the groups.
If significant differences were detected, post-hoc
pairwise comparisons were made with a Bonferroni
correction (pvalue <0.05/6 indicting statistical sig-
nificance).
1134 A. J. Rush et al.
Results
Division of sample
Supplementary Fig. 1 shows how the study sample
was generated. Of the 2876 participants who were
eligible for analysis, 220 had insufficient data to define
prior course of illness. Of the remaining 2656 partici-
pants, 15% (398/2656) were chronic and recurrent
(BOTH), 9.7% (257/2656) were chronic but not re-
current (CHRONIC-ONLY), 60.8% (1614/2656) were
not chronic but were recurrent (RECURRENT-ONLY),
and 14.6% (387/2656) were neither chronic nor re-
current (NEITHER). Overall, 24.7 % (655/2656) of
participants had a chronic index episode regardless
of recurrence, and 75.8% (2012/2656) had a recurrent
course regardless of whether the index episode was
chronic. Supplementary Fig. 2 shows the unique
and overlapping proportions of participants in each
group.
Baseline sociodemographic and clinical features
Table 1 shows the baseline sociodemographic and
clinical features of the sample. In general, participants
with a chronic index episode were more likely to be
socially disadvantaged, whereas participants with a
recurrent course were more likely to have an early age
of onset and a family history of depression and sub-
stance use disorders. Participants who were BOTH
chronic and recurrent tended to show the character-
istics associated with each course of illness. Partici-
pants who were either chronic or recurrent were more
likely to have made suicide attempts than those who
were NEITHER. Participants with a recurrent course
(whether or not chronic) were more likely to be found
in psychiatric clinics.
There were few differences between participants
with BOTH features and those who were CHRONIC-
ONLY. The former were more likely to be treated in
psychiatric settings and to have more prior episodes
(by definition), shorter episodes, a longer length of
illness, a positive family history of depression, and to
experience their first MDE before age 18 years.
Among those with a recurrent course, those with
BOTH a chronic and recurrent course (as opposed to
RECURRENT-ONLY) were more likely to be non-
white, older, unemployed, and have less income and
less education. They were less likely to be married or
have private insurance. Participants with BOTH were
also at a relative social disadvantage, and they had
greater illness burden with more GMCs, more gen-
eralized anxiety and post-traumatic stress disorders,
more depressive episodes, a longer index episode
(as expected), fewer total depressive episodes, and a
longer length of illness.
Participants with BOTH a chronic and recurrent
course were most distinct from those who were
NEITHER chronic nor recurrent. Participants with
BOTH were older, had less income and were more
likely to be divorced or uninsured, to have more
suicide attempts, an earlier age of first onset, more
severe depression, more depressive episodes, a longer
length of current episode (as expected) and illness, a
higher proportion with family histories of depression,
more concurrent GMCs, alcohol or drug abuse, and
more concurrent Axis I disorders (including general-
ized anxiety disorder, social phobia, post-traumatic
stress disorder and bulimia).
When we compared the CHRONIC-ONLY and
the RECURRENT-ONLY participants, the CHRONIC-
ONLY were older, had less income and education,
were more likely to be unemployed or treated in pri-
mary care, and were more likely to have never married
or have private insurance. The CHRONIC-ONLY
participants also had more GMCs and higher rates
of generalized anxiety and hypochondriasis. The
CHRONIC-ONLY participants reported fewer epi-
sodes and longer index episodes (by definition), and
they had a considerably later age of onset and shorter
duration of overall illness than the RECURRENT-
ONLY group.
Acute treatment outcomes
Table 2ashows the unadjusted acute treatment
outcomes by the HAMD
17
and the QIDS-SR
16
. The
groups did not differ on remission based on the
HAMD
17
, but did on the QIDS-SR
16
, though no pair-
wise differences were identified after a Bonferroni
correction for multiple comparisons. The CHRONIC-
ONLY participants had significantly lower response
rates and significantly less percentage change in
the QIDS-SR
16
than the RECURRENT-ONLY par-
ticipants after Bonferroni correction. Controlling for
site and baseline covariates that differentiated the
course of illness groups eliminated these differences
(Table 2b).
The chronic and recurrent (BOTH) group received
higher doses and longer treatment than the non-
chronic non-recurrent (NEITHER) group (Table 3a).
Side-effect frequency, intensity, burden and the types
and frequencies of SAEs were not different among the
groups (Table 3b).
Figure 1ashows the times to first QIDS-SR
16
re-
mission by prior course of illness. The chronic and re-
current (BOTH) participants had significantly worse
acute treatment outcomes than those without a chronic
index episode regardless of recurrence (NEITHER
or RECURRENT-ONLY), whereas the CHRONIC-
ONLY participants were intermediate. Figure 1b
Prior course of illness and depression treatment outcomes 1135
Log-rank statistic=14.7, p= 0.0021
Groups
Both 394 373 325 275 193 127 44
Chronic-only 256 242 206 165 115 72 27
Recurrent-only 1611 1515 1270 994 677 397 144
Neither 385 351 289 229 154 80 35
Total 2646 2481 2090 1663 1139 676 250
Post-hoc comparisons based on a Bonferroni correction for multiple comparisons (p<0.006 = 83).
BOTH v. RECURRENT-ONLY, BOTH v. NEITHER.
1.00 BOTH
CHRONIC–ONLY
RECURRENT–ONLY
NEITHER
0.75
0.50
0.25
0.00
0246 9 1214
Cumulative probability of remission
Weeks in treatment with citalopram
(a)
Log-rank statistic=7.1, p= 0.0689
Groups
Both 389 359 290 221 139 76 23
Chronic-only 250 236 180 138 92 40 11
Recurrent-only 1569 1478 1119 783 480 236 88
Neither 372 348 259 172 108 50 21
Total 2580 2421 1848 1314 819 402 143
1.00 BOTH
CHRONIC–ONLY
RECURRENT–ONLY
NEITHER
0.75
0.50
0.25
0.00
0246 9 1214
Cumulative probability of response
Weeks in treatment with citalopram
(b)
Fig. 1. Time to (a) remission, (b) response and (c) relapse by course of illness. BOTH refers to participants with a chronic
index episode and recurrent course ; CHRONIC-ONLY refers to participants with a chronic index episode without a recurrent
course ; RECURRENT-ONLY refers to participants with a recurrent course without a chronic index episode ; NEITHER refers
to participants with neither a recurrent course nor a chronic index episode.
1136 A. J. Rush et al.
shows analogous results for times to first response.
Although group differences were not significant with
respect to response, the general pattern was preserved.
Chronic participants took longer to remit (but not
significantly longer to respond) than non-chronic par-
ticipants.
Among those who reached response or remission,
the times to reach these goals was not different for the
four groups. Average times to QIDS-SR
16
remission
were 6.8¡4.1 weeks (BOTH), 7.4¡4.1 weeks
(CHRONIC-ONLY), 6.7¡3.7 weeks (RECURRENT-
ONLY), and 6.9¡3.7 weeks (NEITHER). For the QIDS-
SR
16
responders, times to response were 6.0¡3.8
weeks (BOTH), 5.8¡3.6 weeks (CHRONIC-ONLY),
5.7¡3.6 weeks (RECURRENT-ONLY), and 5.6¡3.3
weeks (NEITHER).
Longer-term treatment outcomes
About half of the sample treated acutely (1337/2656)
entered follow-up with a QIDS-SR
16
<11. Compared
to those who did not enter follow-up, those entering
follow-up were more likely to be white, married,
employed, privately insured, better schooled and have
higher incomes. They also had less general medical
co-morbidity, were less severely depressed at the
beginning of acute treatment and were less likely to
have family histories of depression, suicide, or alcohol
or drug abuse. Rates of anxious, atypical and melan-
cholic features were all lower, as were rates of con-
current Axis I disorders. In brief, participants who
entered follow-up were more socially advantaged and
exhibited less psychopathology than those who did
not.
Fig. 1cshows the probability of relapse for all par-
ticipants who entered follow-up, grouped by course of
illness. Participants with BOTH a chronic and recur-
rent course were more likely to relapse than those who
were NEITHER chronic nor recurrent. Participants
who were CHRONIC-ONLY or RECURRENT-ONLY
had intermediate relapse rates.
Fig. 2(a,b) show the probability of relapse for
participants who entered the follow-up without full
remission and those who entered in full remission
respectively. For participants who were not in full re-
mission at entry into follow-up, the course of illness
was not related to likelihood of relapse, whereas it was
related to likelihood of relapse for participants in full
remission at follow-up entry. These differences were
no longer apparent after controlling for other baseline
Months in follow-up
Log-rank statistic=11.7, p= 0.0084
Groups
Both 181 109 67 47 19
Chronic-only 126 64 48 31 11
Recurrent-only 820 462 299 204 66
Neither 210 122 82 52 20
Total 1337 757 496 334 116
Post-hoc comparisons based on a Bonferroni correction for multiple comparisons (p<0.006 = 83).
BOTH v. NEITHER.
1.00 BOTH
CHRONIC–ONLY
RECURRENT–ONLY
NEITHER
0.75
0.50
0.25
Survival distribution function
0.00
036912
(c)
Fig. 1 (cont.)
Prior course of illness and depression treatment outcomes 1137
(a)
Months in follow-up
Log-rank statistic=0.46, p= 0.9280
Groups
Both 58 32 18 11 2
Chronic-only 29 11 75 2
Recurrent-only 194 94 54 33 8
Neither 47 18 11 6 1
Total 328 155 90 55 13
Log-rank statistic=9.6, p= 0.0220
Groups
Both 123 77 49 36 17
Chronic-only 97 53 41 26 9
Recurrent-only 626 368 245 171 58
Neither 163 104 71 46 19
Total 1009 602 406 279 103
Post-hoc comparisons based on a Bonferroni correction for multiple comparisons (p<0.006 = 83).
BOTH v. NEITHER.
1.00 BOTH
CHRONIC–ONLY
RECURRENT–ONLY
NEITHER
0.75
0.50
0.25
0.00
036912
Survival distribution functionSurvival distribution function
1.00 BOTH
CHRONIC–ONLY
RECURRENT–ONLY
NEITHER
0.75
0.50
0.25
0.00
036912
Months in follow-up
(b)
Fig. 2. Time to relapse by course of illness : (a) non-remitted participants ; (b) remitted participants. BOTH refers to participants
with a chronic index episode and recurrent course ; CHRONIC-ONLY refers to participants with a chronic index episode
without a recurrent course ; RECURRENT-ONLY refers to participants with a recurrent course without a chronic index episode ;
NEITHER refers to participants with neither a recurrent course nor a chronic index episode.
1138 A. J. Rush et al.
Table 1. Baseline sociodemographic and clinical features of the sample
BOTH
n=398 (15%)
CHRONIC-
ONLY
n=257 (9.7%)
RECURRENT-
ONLY
n=1614 (60.8 %)
NEITHER
n=387
(14.5 %)
Total
n=2656 pvalue
(a)Baseline demographic characteristics associated with chronic and recurrent MDD
Setting
b,d,f
<0.0001
Primary care 40.7 49.4 33.1 46.0 37.7
Psychiatric care 59.3 50.6 66.9 54.0 62.3
Race
b
0.0228
White 70.4 72.4 78.5 76.0 76.3
African American 22.1 20.2 15.5 17.3 17.2
Others 7.5 7.4 6.0 6.7 6.5
Ethnicity – Hispanic
d,f
<0.0001
No 86.2 79.8 89.5 82.4 87.1
Yes 13.8 20.2 10.5 17.6 12.9
Sex 0.9178
Male 35.9 38.1 36.2 37.2 36.5
Female 64.1 61.9 63.8 62.8 63.5
Marital status
b,c,d,f
<0.0001
Never married 21.6 26.9 30.5 25.6 28.1
Married 43.0 41.6 40.4 50.9 42.4
Divorced 30.7 25.3 26.8 21.2 26.4
Widowed 4.7 6.2 2.3 2.3 3.1
Employment status
b,d
<0.0001
Unemployed 44.5 46.3 34.6 38.0 37.7
Employed 47.7 48.2 60.6 56.3 56.8
Retired 7.8 5.5 4.8 5.7 5.5
Insurance status
b,c,d,e,f
<0.0001
Private insurance 43.9 38.3 55.3 57.7 52.3
Public insurance 16.9 22.6 10.4 17.5 13.6
No insurance 39.2 39.1 34.3 24.8 34.1
Age (years)
b,c,d
44.2 (13.1) 42.6 (13.0) 39.7 (12.8) 40.4 (13.5) 40.7 (13.1) <0.0001
Years of schooling
b,d
13.0 (3.2) 12.5 (3.4) 13.7 (3.2) 13.3 (3.2) 13.4 (3.2) <0.0001
Income (US$/month)
b,c,d,e
2031 (3404) 1863 (2313) 2469 (2887) 2789 (3610) 2392 (3043) <0.0001
(b)Baseline clinical features associated with chronic and recurrent MDD
CIRS
Categories endorsed
b,c,e,f
3.9 (2.6) 3.5 (2.2) 3.0 (2.2) 2.5 (2.2) 3.1 (2.3) <0.0001
Total score
b,c,d,e
5.6 (4.3) 5.2 (3.7) 4.2 (3.6) 3.6 (3.6) 4.4 (3.7) <0.0001
Severity Index
c,d,e
1.3 (0.5) 1.4 (0.6) 1.2 (0.6) 1.1 (0.7) 1.2 (0.6) <0.0001
Symptom severity
HAMD
17
22.3 (5.3) 21.9 (5.6) 21.8 (5.1) 21.5 (5.0) 21.8 (5.2) 0.1651
IDS-C
30
c
39.7 (9.6) 38.8 (10.8) 38.6 (9.3) 37.4 (9.4) 38.6 (9.6) 0.0096
QIDS-SR
16
16.6 (3.9) 16.2 (4.0) 16.2 (4.0) 15.7 (4.0) 16.2 (4.0) 0.0318
Age at onset of first
MDE (years)
a,c,d,e,f
18 (27–13) 36 (47–21) 18 (29–13) 39 (50–29) 22 (35–15) <0.0001
Number of episodes
a,b,c,d,f
3 (6–2) 1 (1–1) 4 (6–2) 1 (1–1) 3 (5–1) <0.0001
Length of current
episode (months)
a,b,c,d,e,f
40 (66–30) 60 (129–35) 5 (9–2) 6 (12–3) 8 (24–3) <0.0001
Length of illness (years)
a,b,c,d,e,f
22 (32–11) 5 (10–3) 15 (26–8) 0.5 (1–0.5) 12 (23–4) <0.0001
(c)Baseline clinical features associated with chronic and recurrent major depressive disorder
Family history of depression
a,c,f
60.4 49.8 58.4 42.0 55.5 <0.0001
Family history of alcohol abuse
c,f
45.0 38.0 43.3 30.6 41.2 <0.0001
Family history of drug abuse
c,f
28.8 19.9 25.7 15.1 24.1 <0.0001
Family history of mood disorder
a,c,f
62.6 52.2 60.3 44.1 57.5 <0.0001
Family history of suicide 4.6 3.1 3.8 2.1 3.6 0.2723
Attempted suicide
c,e,f
19.4 13.6 20.5 5.2 17.5 <0.0001
Onset <18 years
a,c,d,e,f
45.3 16.0 45.5 0.5 36.1 <0.0001
[continues overleaf
Prior course of illness and depression treatment outcomes 1139
factors that differentiated the course of illness groups
(including site).
Discussion
These analyses revealed clinically important baseline
differences between patient groups defined by the
prior course of illness. Consistent with data from
community and primary care samples (Satyanarayana
et al. 2009; Stegenga et al. 2010), participants with
chronic index episodes were generally at greater social
disadvantage and suffered greater general medical
and psychiatric burden than non-chronic participants,
regardless of whether they had a recurrent course.
Table 1 (cont.)
BOTH
n=398 (15%)
CHRONIC-
ONLY
n=257 (9.7%)
RECURRENT-
ONLY
n=1614 (60.8 %)
NEITHER
n=387
(14.5 %)
Total
n=2656 pvalue
Anxious features 55.5 55.3 52.7 53.2 53.5 0.7118
Atypical features
c,e
21.1 23.0 18.6 13.4 18.6 0.0086
Melancholic features 24.9 24.1 23.6 24.0 23.9 0.9559
No. of general medical
conditions
b,c,e,f
<0.0001
0 7.0 6.2 9.9 17.1 10.1
1 10.1 10.9 16.7 17.3 15.2
2 16.3 18.3 17.5 20.4 17.9
3 11.6 16.7 14.6 16.0 14.6
o4 55.0 47.9 41.3 29.2 42.2
(d)Concurrent Axis I co-morbidities associated with chronic and recurrent MDD
Axis I disorder
g
Generalized anxiety disorder
b,c,d,e
28.8 31.2 22.3 17.1 23.3 <0.0001
OCD 16.1 18.7 13.6 13.4 14.4 0.1266
Panic 15.4 15.1 12.7 10.5 13.0 0.1599
Social phobia
c,f
34.7 31.5 31.2 22.8 30.5 0.0023
PTSD
b,c
26.6 19.8 19.8 17.6 20.5 0.0096
Agoraphobia 13.3 14.3 11.3 8.7 11.5 0.0958
Alcohol abuse 10.2 12.3 13.0 9.7 12.0 0.2041
Drug abuse 6.7 6.8 8.6 4.7 7.5 0.0629
Somatoform 2.3 2.4 2.8 0.8 2.4 0.1620
Hypochondriasis
d
5.1 7.6 3.6 3.9 4.3 0.0255
Bulimia 12.8 13.9 13.6 8.4 12.8 0.0481
No. of Axis I disorders
c,e,f
0.0005
0 29.7 30.7 35.1 43.7 35.1
1 25.3 25.4 26.8 27.8 26.6
2 20.9 17.3 16.3 13.2 16.7
3 8.3 11.7 9.7 5.8 9.1
o4 15.8 14.9 12.1 9.5 12.5
MDE, Major depressive disorder ; CIRS, Cumulative Illness Rating Scale ; HAMD
17
, 17-item Hamilton Rating Scale for
Depression ; IDS-C
30
: 30-item Inventory of Depressive Symptomatology Clinician-rated ; QIDS-SR
16
: 16-item Quick Inventory
of Depressive Symptomatology – Self-report; MDE, major depressive episode ; OCD, obsessive–compulsive disorder ; PTSD,
post-traumatic stress disorder.
Bold indicates statistically significant values.
Values given as percentage, mean (standard deviation) or median (interquartile range).
Post-hoc comparisons based on a Bonferroni correction for multiple comparisons (p<0.0083).
a
BOTH versus CHRONIC-ONLY.
b
BOTH versus RECURRENT-ONLY.
c
BOTH versus NEITHER.
d
CHRONIC-ONLY versus RECURRENT-ONLY.
e
CHRONIC-ONLY versus NEITHER.
f
RECURRENT-ONLY versus NEITHER.
g
Estimated by the Psychiatric Diagnostic Screening Questionnaire (PDSQ) using 90 % specificity.
1140 A. J. Rush et al.
Table 2. (a)Unadjusted remission and response status by chronic and/or recurrent major depressive disorder (MDD)
Outcome
BOTH
n=398 (15%)
CHRONIC-
ONLY
n=257 (9.7%)
RECURRENT-
ONLY
n=1614 (60.8 %)
NEITHER
n=387 (14.5%)
Total
n=2656 pvalue
HAMD
17
remission 0.0631
No 72.1 79.0 71.6 69.8 72.1
Yes 27.9 21.0 28.4 30.2 27.9
QIDS-SR
16
remission 0.0342
No 70.7 71.9 66.3 62.8 67.0
Yes 29.3 28.1 33.7 37.2 33.0
QIDS-SR
16
response
a
0.0165
No 54.3 62.1 51.5 52.5 53.1
Yes 45.7 37.9 48.5 47.5 46.9
Exit QIDS-SR
16
a,b
9.3 (5.8) 10.1 (6.1) 9 (6.0) 8.5 (5.7) 9.1 (5.9) 0.0060
QIDS-SR
16
change x7.2 (5.7) x6.1 (5.9) x7.1 (6.0) x7.2 (5.8) x7.1 (5.9) 0.0415
QIDS-SR
16
change (%)
a,b
x43.3 (32.8) x36.9 (35.6) x43.3 (36.1) x44.7 (34) x42.9 (35.3) 0.0237
HAMD
17
, 17-Item Hamilton Rating Scale for Depression; QIDS-SR
16
, 16-item Quick Inventory of Depressive
Symptomatology – Self-Report.
Bold indicates statistically significant values.
Values given as percentage or mean (standard deviation).
Post-hoc comparisons based on a Bonferroni correction for multiple comparisons (p<0.0083).
a
CHRONIC-ONLY versus RECURRENT-ONLY.
b
CHRONIC-ONLY versus NEITHER.
Table 2. (b)Adjusted remission and response status by chronic and/or recurrent MDD
Comparison
HAMD
17
remission
a
QIDS-SR
16
remission QIDS-SR
16
response
OR pvalue OR pvalue OR pvalue
Unadjusted
Ref. group=NEITHER 0.0631 0.0342 0.0165
RECURRENT-ONLY 0.91 0.86 1.04
CHRONIC-ONLY 0.61 0.66 0.67
Both chronic and recurrent 0.89 0.70 0.93
Adjusted
b
0.2152 0.1836 0.1587
RECURRENT-ONLY 0.87 0.82 1.01
CHRONIC-ONLY 0.68 0.74 0.73
Both chronic and recurrent 0.94 0.74 0.99
Adjusted
c
0.4474 0.8998 0.3444
RECURRENT-ONLY 0.87 0.93 1.10
CHRONIC-ONLY 0.78 0.89 0.85
Both chronic and recurrent 0.99 0.89 1.11
HAMD
17
, 17-Item Hamilton Rating Scale for Depression; QIDS-SR
16
, 16-item Quick Inventory of Depressive
Symptomatology Self-Report ; OR, odds ratio.
Bold indicates statistically significant values.
a
The baseline severity of HAMD
17
is not included in the model because it does not show any differences between groups.
b
Adjusted for Regional center.
c
Adjusted for Regional center, clinical setting, race, ethnicity, marital status, employment status, insurance status, Cumulative
Illness Rating Scale (CIRS) total score, family history of alcohol abuse, family history of drug abuse, family history of mood
disorder, attempted suicide, age at onset, atypical depression, age, education, and baseline severity of QIDS-SR
16
.
Prior course of illness and depression treatment outcomes 1141
Table 3. (a)Treatment characteristics in relation to symptomatic outcome by chronic and recurrent major depressive disorder (MDD)
Treatment characteristic
BOTH
n=398 (15%)
CHRONIC-ONLY
n=257 (9.7%)
RECURRENT-ONLY
n=1614 (60.8 %)
NEITHER
n=387 (14.5 %) Total n=2656
pvaluen%n%n%n%n%
Maximum dose of citalopram (mg/day)
a
0.0356
<20 5 1.3 4 1.6 42 2.6 9 2.3 60 2.3
20–39 78 19.6 66 25.8 387 24.0 107 27.7 638 24.1
40–49 116 29.2 70 27.3 488 30.3 127 32.8 801 30.2
o50 198 49.9 116 45.3 694 43.1 144 37.2 1152 43.4
Dose of citalopram at study exit (mg/day)
a
0.0067
<20 11 2.8 8 3.1 67 4.2 13 3.4 99 3.7
20–39 88 22.2 78 30.5 435 27.0 115 29.7 716 27.0
40–49 112 28.2 62 24.2 494 30.7 129 33.3 797 30.1
o50 186 46.8 108 42.2 615 38.1 130 33.6 1039 39.2
Time in treatment (weeks)
a
0.0082
<4 27 6.8 28 10.9 179 11.1 59 15.3 293 11.0
o4 but <8 65 16.3 50 19.5 280 17.3 55 14.2 450 16.9
o8 306 76.9 179 69.6 1155 71.6 273 70.5 1913 72.0
Mean S.D. Mean S.D. Mean S.D. Mean S.D. Mean S.D.
Number of visits 5.0 1.4 4.7 1.5 4.8 1.5 4.7 1.6 4.8 1.5 0.0132
Time to first treatment visit (weeks) 2.3 0.9 2.4 1.3 2.3 1.2 2.3 1.0 2.3 1.1 0.2706
Time in treatment (weeks) 10.5 3.7 9.9 4.2 10.0 4.2 9.9 4.5 10.1 4.2 0.0771
Time from final dose to study exit (weeks) 5.2 3.6 5.0 3.8 5.1 4.1 5.3 4.2 5.1 4.0 0.7256
S.D., Standard deviation.
Bold indicates statistically significant values.
Post-hoc comparisons based on a Bonferroni correction for multiple comparisons (p<0.0083).
a
BOTH versus NEITHER.
1142 A. J. Rush et al.
Table 3. (b)Adverse events, side-effects by chronic and recurrent MDD
Treatment characteristic
BOTH
n=398 (15%)
CHRONIC-ONLY
n=257 (9.7 %)
RECURRENT-ONLY
n=1614 (60.8 %)
NEITHER
n=387 (14.5%) Total n=2656
pvaluen%n%n%n%n%
Maximum side-effect frequency 0.1064
None 69 17.3 41 16.1 238 14.9 65 16.8 413 15.6
10–25% of the time 122 30.7 67 26.3 441 27.5 111 28.8 741 28.1
50–75% of the time 102 25.6 85 33.3 528 32.9 135 35.0 850 32.2
90–100% of the time 105 26.4 62 24.3 396 24.7 75 19.4 638 24.1
Maximum side-effect intensity 0.4162
None 65 16.3 39 15.3 238 14.8 65 16.8 407 15.4
Trivial 115 28.9 68 26.7 432 27.0 118 30.6 733 27.7
Moderate 161 40.5 98 38.4 670 41.8 154 39.9 1083 41.0
Severe 57 14.3 50 19.6 263 16.4 49 12.7 419 15.9
Maximum side-effect burden 0.3703
No impairment 87 21.9 45 17.7 318 19.8 89 23.1 539 20.4
Minimal-mild impairment 159 40.0 110 43.1 647 40.4 166 43.0 1082 41.0
Moderate-marked impairment 116 29.1 74 29.0 500 31.2 109 28.2 799 30.2
Severe impairment – unable to function 36 9.0 26 10.2 138 8.6 22 5.7 222 8.4
Serious adverse events 12 3.0 9 3.5 69 4.3 12 3.1 102 3.8 0.5294
Death, non-suicide 1 0 2 0 3
Hospitalization for GMCs 9 5 27 8 49
Medical illness without hospitalization 0 0 3 1 4
Psychiatric hospitalization (substance abuse) 1 2 5 0 8
Psychiatric hospitalization (other) 0 0 2 0 2
Psychiatric hospitalization (suicidal ideation) 4 2 23 3 32
Psychiatric hospitalization (worsening depression) 0 0 4 2 6
Suicidal ideation (without hospitalization) 0 0 5 0 5
Any psychiatric serious adverse events 5 1.3 4 1.6 39 2.4 4 1.0 52 2.0 0.1930
Intolerance 54 13.6 48 18.7 277 17.2 67 17.3 446 16.8 0.2783
GMC, General medical co-morbidity.
Prior course of illness and depression treatment outcomes 1143
Participants with a recurrent course (with or without a
chronic index episode) typically had an earlier age of
onset and greater familial loading for depression and
substance abuse than non-recurrent participants.
These data are in line with research that has shown
positive associations between number of recurrent epi-
sodes, age of onset, and family history of depression
(Roca et al. 2011). Earlier onset and greater familial
loading may indicate an underlying genetic vulner-
ability. Participants with BOTH a chronic and recur-
rent course differed most from those who were
NEITHER chronic nor recurrent and showed the sep-
arate patterns of social disadvantage and familial load-
ing associated with each. Participants with NEITHER
a chronic nor a recurrent course had the least concur-
rent general medical and psychiatric burden, and were
least likely to have made prior suicide attempts.
The acute treatment outcomes (unadjusted) were
typically worse for those with a chronic (versus
non-chronic) index episode. Participants with BOTH
a chronic index episode and a recurrent course took
longer to remit than non-chronic participants (regard-
less of recurrence). Fewer CHRONIC-ONLY partici-
pants responded acutely (37.9%) than RECURRENT-
ONLY participants (48.5%). This same pattern held for
other outcome indices. Chronic participants (regard-
less of recurrence) had lower response or remission
rates than non-chronic participants. Overall, lower
acute treatment benefit can be expected among some
patients with chronic index episodes, but these out-
come differences are modest. These differences were
not due to differences in treatment. The differences in
acute outcome were generally eliminated after con-
trolling for site and other differentiating baseline
variables. Thus, the differences in acute outcomes
cannot be attributed solely to the course of illness. That
is, a chronic course may lead to additional psychiatric
and general medical burden, or vice versa. However,
when taken together, chronicity and these associated
burdens are associated with the worst acute treatment
outcome.
As for longer-term outcomes, those who were
NEITHER chronic nor recurrent had the lowest re-
lapse rate, whereas those who were BOTH chronic
and recurrent had the highest relapse rate. This
difference was significant. The remaining two groups
(the CHRONIC-ONLY and RECURRENT-ONLY) had
intermediate outcomes. These results suggest that
both chronicity and recurrence contribute to risk for
relapse in an independent (additive) fashion. This
finding suggests that chronicity and recurrence are
associated with different mechanisms, both of which
contribute to the propensity for relapse.
When we further divided the follow-up sample into
those with and those without remission upon entering
follow-up, these longer-term findings could be wholly
attributed to the participants who entered follow-up
in remission. There were no differences in relapse rates
as a function of course of illness among those not
in remission at follow-up entry. After controlling
for other baseline factors, the differences found for
those in remission were no longer apparent. Thus,
differences in relapse rates may not be wholly
attributable to chronic or recurrent course per se,
because other features associated with different
courses of illness may account for the different out-
comes.
In clinical practice, then, lack of remission is pre-
dictive of relapse. However, for those who have
remitted, either a chronic or recurrent course, and es-
pecially the presence of both, is predictive of relapse.
Thus, special vigilance is suggested for even fully
remitted patients who have had a chronic index
episode or a history of recurrence. The most appro-
priate strategies for managing these patients have
yet to be fully elucidated. For those with a recurrent
course of illness, the addition of psychotherapy after
successful antidepressant treatment has been shown
to reduce the risk of relapse and recurrence (Guidi
et al. 2011). Cognitive behavioral therapy, in particular,
is an effective therapeutic option in preventing
relapses for up to 6 years (Fava et al. 2004 b; Conradi
et al. 2008; Bockting et al. 2009). The optimal relapse
prevention treatment for chronic depression is less
clear. Continuation treatment using a combination of
medication and cognitive behavioral therapy seems to
be more effective in preventing relapse than either
monotherapy (Kocsis et al. 2003), but systematic re-
views to investigate the effectiveness of various treat-
ment options are still needed to shed light on this
important clinical issue (Kriston et al. 2010).
The strengths of our study include the analysis of a
large representative sample of treatment-seeking
patients with unipolar MDD and the inclusion of the
full range of prior course-of-illness variables. An
inherent study limitation is that some (but not all)
participants who have not yet developed a chronic
index episode or recurrent course at study entry will
subsequently develop such a course. On the one hand,
if clinically meaningful differences are found between
participants with various courses of illness, they might
be expected to be valid given this potential sample
bias. On the other hand, failure to find differences
could result from the fact that some non-chronic, non-
recurrent patients will develop chronic and/or recur-
rent course over time.
Other limitations include the use of a self-report
to diagnose concurrent Axis I and III conditions, the
use of self-report to assess chronicity and recurrence
(recall bias), reliance on the self-report by IVR to
1144 A. J. Rush et al.
identify relapse, and the fact that this is a secondary
analysis. Furthermore, the declaration of response,
remission and relapse were all based on a single
measurement occasion that covered only the past
7 days (Rush et al. 2006c). This limitation is likely
to inflate the relapse rates, and also the response
and remission rates. Because visit schedules were not
tightly controlled in the STAR*D study, we could not
easily require return visits and multiple measure-
ments to document that at least a 2-week duration was
achieved to declare relapse, response or remission.
Relapse was set at a robust QIDS-SR threshold of
o11, which in most cases corresponds to sufficient
symptoms to meet MDD criteria (equivalent to
HRDS
17
=14).
In conclusion, a chronic index episode was found in
one out of four out-patients with MDD and a recurrent
course was found in about three out of four.
Chronicity and recurrence are not mutually exclusive
because 15% of participants had both a chronic index
episode and a recurrent course. A chronic index epi-
sode was associated with social disadvantages
(e.g. less education, poorer function, lower quality
of life) and illness burden (e.g. co-morbidities). A re-
current course was associated with features compat-
ible with an underlying genetic vulnerability (early
onset and greater familial loading for depression and
substance abuse). One possible explanation for these
results is that recurrent course may be a consequence
of nature (genetics) and chronicity a function of nur-
ture (life events). Chronicity, but not recurrence, was
associated with a lower likelihood of, and a longer
time to, response and remission, in acute treatment.
Among remitted participants, both chronicity and re-
currence were associated with a higher risk for relapse
in an independent and additive fashion. Although
some of the differences between groups defined by
course of illness were modest, the differences between
those with neither versus both chronicity and recur-
rence argue for a different management approach
based on course.
These results suggest that central nervous system
mechanisms that delay the onset of remission or
contribute to relapse in treatment deserve further
study, particularly for patients with a chronic or
recurrent course of illness. Additional work is also
needed to determine the most effective approaches
for continuation treatment in these populations.
Although it is essential to target effective treatment for
chronicity and recurrence of depression, it is import-
ant to note that the best prognosis was found in par-
ticipants with neither a chronic index episode nor a
recurrent history. This underscores the notion that
treatment early in the course of illness may be most
effective.
Note
Supplementary material accompanies this paper on
the Journal’s website (http://journals.cambridge.org/
psm).
Acknowledgments
This project was funded by the NIMH under Contract
N01MH90003 to UT Southwestern Medical Center
at Dallas (PI: A. J. Rush). The content of this publi-
cation does not necessarily reflect the views or policies
of the Department of Health and Human Services,
nor does mention of trade names, commercial pro-
ducts, or organizations imply endorsement by the U.S.
Government. We appreciate the support of Bristol-
Myers Squibb, Forest Laboratories, GlaxoSmithKline,
King Pharmaceuticals, Organon, Pfizer, and Wyeth for
providing medications at no cost for this trial. We also
acknowledge the editorial support of J. Kilner. None
of these entities had a role in any part of the study
(e.g. design, execution, data collection, analysis, inter-
pretation of the data, writing any report, including this
one). Drs Rush and Wisniewski had full access to all
of the data in the study and take responsibility for
the integrity of the data and the accuracy of the data
analysis.
[Trial registry name: ClinicalTrials.gov. Regis-
tration identification number : NCT00021528. URL
for the registry (www.clinicaltrials.gov/ct/show/
NCT00021528?order=2).]
Declaration of Interest
A. J. Rush:Research support: Robert Wood Johnson
Foundation; the NIMH; the Stanley Medical Research
Institute. Advisory/consulting: Advanced Neuronetic
Systems, Inc.; AstraZeneca; Best Practice Project
Management, Inc.; Bristol-Myers Squibb Company;
Cyberonics, Inc.; Forest Pharmaceuticals, Inc.; Gerson
Lehman Group; GlaxoSmithKline; Healthcare Tech-
nology Systems, Inc.; Jazz Pharmaceuticals; Eli Lilly &
Company; Magellan Health Services; Merck & Co.,
Inc.; Neuronetics; Ono Pharmaceutical ; Organon USA
Inc.; Personality Disorder Research Corp.; Pfizer Inc. ;
The Urban Institute; and Wyeth-Ayerst Laboratories
Inc. Speaking: Cyberonics, Inc.; Forest Pharma-
ceuticals, Inc.; GlaxoSmithKline; Eli Lilly & Com-
pany; and Merck & Co., Inc. Equity holdings (exclude
mutual funds/blinded trusts): Pfizer Inc. Royalty/
patent, other income: Guilford Publications; Healthcare
Technology Systems, Inc. S. R. Wisniewski:Research
support: NIMH. Advisory/consulting: Cyberonics, Inc.
S. Zisook:Research support: NIMH; Aspect Medi-
cal; PamLab. Advisory/consulting: GlaxoSmithKline.
Prior course of illness and depression treatment outcomes 1145
Speaking: AstraZeneca Pharmaceuticals; Forest Phar-
maceuticals, Inc.; GlaxoSmithKline; Janssen Pharma-
ceutica Products, LP; Eli Lilly & Company; Pfizer
Inc.; Wyeth Pharmaceuticals. M. Fava:Research
support: Abbott Laboratories; Alkermes ; Aspect Medi-
cal Systems; Astra-Zeneca; Bristol-Myers Squibb
Company; Cephalon; Forest Pharmaceuticals Inc. ;
GlaxoSmithKline; J & J Pharmaceuticals; Lichtwer
Pharma GmbH; Eli Lilly & Company; Lorex Pharma-
ceuticals; Novartis; Organon Inc. ; PamLab, LLC;
Pfizer Inc.; Pharmavite; Roche ; Sanofi/Synthelabo ;
Solvay Pharmaceuticals, Inc.; Wyeth-Ayerst Labora-
tories. Advisory/consulting: Aspect Medical Systems;
Astra-Zeneca; Bayer AG; Biovail Pharmaceuticals,
Inc.; BrainCells, Inc.; Bristol-Myers Squibb Company;
Cephalon; Compellis; Cypress Pharmaceuticals ;
Dov Pharmaceuticals; EPIX Pharmaceuticals; Fabre-
Kramer Pharmaceuticals, Inc.; Forest Pharmaceuticals
Inc.; GlaxoSmithKline; Grunenthal GmBH ; J & J
Pharmaceuticals; Janssen Pharmaceutica; Jazz Phar-
maceuticals; Knoll Pharmaceutical Company; Eli Lilly
& Company; Lundbeck; MedAvante, Inc.; Novartis ;
Nutrition 21; Organon Inc.; PamLab, LLC ; Pfizer
Inc.; PharmaStar; Pharmavite ; Roche ; Sanofi/Synthe-
labo; Sepracor; Solvay Pharmaceuticals, Inc. ; Somer-
set Pharmaceuticals; Wyeth-Ayerst Laboratories.
Speaking: Astra-Zeneca; Bristol-Myers Squibb Com-
pany; Cephalon; Forest Pharmaceuticals Inc. ;
GlaxoSmithKline; Eli Lilly & Company; Novartis ;
Organon Inc.; Pfizer Inc.; PharmaStar ; Wyeth-Ayerst
Laboratories. Equity holdings (exclude mutual funds/
blinded trusts): Compellis, MedAvante. W. S. Gilmer:
Research support: Abbott Laboratories, Aspect Medical;
Forest Pharmaceuticals Inc.; Janssen Pharmaceutica;
Neuronetics; Novartis; Pfizer Inc. ; NIMH. Advisory/
consulting: Astra-Zeneca; Bristol-Myers Squibb Com-
pany; Eli Lilly & Company; Forest Pharmaceuticals ;
GlaxoSmithKline; Pfizer, Inc.; Shire. Speaking : Bristol-
Myers Squibb Company; Forest Pharmaceuticals;
GlaxoSmithKline; Pfizer Inc.; Wyeth-Ayerst Labora-
tories. D. Warden:Research Support: NIMH, National
Institute of Drug Abuse, NARSAD; Equity holdings:
Pfizer, Bristol Myers Squib. A. A. Nierenberg :
Research support: Bristol-Myers Squibb Company;
Cederroth; Cyberonics, Inc.; Forest Pharmaceuticals
Inc.; GlaxoSmithKline; Janssen Pharmaceutica ;
Lichtwer Pharma; Eli Lilly & Company; Pfizer Inc. ;
NIMH; National Alliance for Research in Schizo-
phrenia and Depression, Stanley Foundation; Wyeth-
Ayerst Laboratories. Advisory/consulting : Bristol-
Myers Squibb Company; Eli Lilly & Company;
Genaissance; GlaxoSmithKline; Innapharma ; Neuro-
netics; Pfizer, Inc.; Sepracor ; Shire. Speaking : Eli Lilly
& Company; GlaxoSmithKline; Organon, Inc. ; Wyeth-
Ayerst Laboratories. B. N. Gaynes :Research support:
NIMH; Agency for Healthcare Research and Quality;
Robert Wood Johnson Foundation ; the M-3 Corpor-
ation; Bristol-Myers Squibb Company; Novartis ; Pfi-
zer, Inc.; and Ovation Pharmaceuticals. Advisory/
consulting: Pfizer, Inc.; Shire Pharmaceuticals ; Wyeth-
Ayerst. Speaking: GlaxoSmithKline. M. H. Trivedi:
Research support: Bristol-Myers Squibb Company;
Cephalon, Inc.; Corcept Therapeutics, Inc.; Eli Lilly &
Company; GlaxoSmithKline; Janssen Pharmaceutica ;
NIMH; National Alliance for Research in Schizo-
phrenia and Depression ; Pfizer Inc.; Predix Pharma-
ceuticals; Wyeth-Ayerst Laboratories. Advisory/
consulting: Abbott Laboratories, Inc.; Akzo (Organon
Pharmaceuticals Inc.); Bayer; Bristol-Myers Squibb
Company; Cyberonics, Inc.; Forest Pharmaceuticals;
GlaxoSmithKline; Janssen Pharmaceutica Products,
LP; Johnson & Johnson PRD; Eli Lilly & Company ;
Meade Johnson; Parke-Davis Pharmaceuticals, Inc.;
Pfizer, Inc.; Pharmacia & Upjohn; Sepracor; Solvay
Pharmaceuticals, Inc.; Wyeth-Ayerst Laboratories.
Speaking: Akzo (Organon Pharmaceuticals Inc.);
Bristol-Myers Squibb Company; Cyberonics, Inc.;
Forest Pharmaceuticals; Janssen Pharmaceutica Pro-
ducts, LP; Eli Lilly & Company; Pharmacia & Upjohn ;
Solvay Pharmaceuticals, Inc.; Wyeth-Ayerst Labora-
tories. S. D. Hollon :Research support: NIMH. Royalty/
patent, other income: Guilford Publications; Wiley.
References
Anderson IM, Ferrier IN, Baldwin RC, Cowen PJ,
Howard L, Lewis G, Matthews K, McAllister-Williams
RH, Peveler RC, Scott J, Tylee A (2008). Evidence-based
guidelines for treating depressive disorders with
antidepressants : a revision of the 2000 British Association
for Psychopharmacology guidelines. Journal of
Psychopharmacology 22, 343–396.
Angst J, Gamma A, Ro¨ ssler W, Ajdacic V, Klein DN (2009).
Long-term depression versus episodic major depression :
results from the prospective Zurich study of a community
sample. Journal of Affective Disorders 115, 112–121.
APA (2000a). Practice guideline for the treatment of patients
with major depressive disorder (revision). American
Psychiatric Association. American Journal of Psychiatry 157
(Suppl. 4), 1–45.
APA (2000b). Diagnostic and Statistical Manual of Mental
Disorders, 4th edn, text revision (DSM-IV-TR). American
Psychiatric Association : Washington, DC.
Bernstein IH, Rush AJ, Carmody TJ, Woo A, Trivedi MH
(2007). Clinical vs. self-report versions of the Quick
Inventory of Depressive Symptomatology in a public
sector sample. Journal of Psychiatric Research 41, 239–246.
Blanco C, Okuda M, Markowitz JC, Liu SM, Grant BF,
Hasin DS (2010). The epidemiology of chronic major
depressive disorder and dysthymic disorder : results
from the National Epidemiologic Survey on Alcohol and
1146 A. J. Rush et al.
Related Conditions. Journal of Clinical Psychiatry 71,
1645–1656.
Bockting CL, Spinhoven P, Wouters LF, Koeter MW,
Schene AH; DELTA Study Group (2009). Long-term
effects of preventive cognitive therapy in recurrent
depression: a 5.5-year follow-up study. Journal of Clinical
Psychiatry 70, 1621–1628.
Carmody TJ, Rush AJ, Bernstein IH, Brannan S,
Husain MM, Trivedi MH (2006). Making clinicians
lives easier : guidance on use of the QIDS self-report in
place of the MADRS. Journal of Affective Disorders 95,
115–118.
Conradi HJ, de Jonge P, Ormel J (2008). Cognitive-
behavioural therapy v. usual care in recurrent depression.
British Journal of Psychiatry 193, 505–506.
Depression Guideline Panel (1993). Clinical Practice
Guideline, Number 5: Depression in Primary Care: Volume 2.
Treatment of Major Depression. U.S. Department of
Health and Human Services, Public Health Service,
Agency for Health Care Policy and Research :
Rockville, MD.
Fava GA, Ruino C, Rafanelli C, Finos L, Conti S, Grandi S
(2004a). Six-year outcome of cognitive behaviour therapy
for prevention of recurrent depression. American Journal of
Psychiatry 161, 1872–1876.
Fava M, Alpert JE, Carmin CN, Wisniewski SR,
Trivedi MH, Biggs MM, Shores-Wilson K, Morgan D,
Schwartz T, Balasubramani GK, Rush AJ (2004 b).
Clinical correlates and symptom patterns of anxious
depression among patients with major depressive disorder
in STAR*D. Psychological Medicine 34, 1299–1308.
Fava M, Rush AJ, Trivedi MH, Nierenberg AA, Thase ME,
Sackeim HA, Quitkin FM, Wisniewski S, Lavori PW,
Rosenbaum JF, Kupfer DJ (2003). Background and
rationale for the Sequenced Treatment Alternatives to
Relieve Depression (STAR*D) study. Psychiatric Clinics of
North America 26, 457–494, x.
Gilmer WS, Trivedi MH, Rush AJ, Wisniewski SR,
Luther J, Howland RH, Yohanna D, Khan A, Alpert J
(2005). Factors associated with chronic depressive
episodes : a preliminary report from the STAR-D project.
Acta Psychiatrica Scandinavica 112, 425–433.
Guidi J, Fava GA, Fava M, Papakostas GI (2011). Efficacy of
the sequential integration of psychotherapy and
pharmacotherapy in major depressive disorder : a
preliminary meta-analysis. Psychological Medicine 41,
321–331.
Hamilton M (1960). A rating scale for depression.
Journal of Neurology, Neurosurgery, and Psychiatry 23,
56–62.
Hamilton M (1967). Development of a rating scale for
primary depressive illness. British Journal of Social and
Clinical Psychology 6, 278–296.
Hollon SD, Shelton RC, Wisniewski S, Warden D,
Biggs MM, Friedman ES, Husain M, Kupfer DJ,
Nierenberg AA, Petersen TJ, Shores-Wilson K, Rush AJ
(2006). Presenting characteristics of depressed outpatients
as a function of recurrence : preliminary findings from
the STAR*D clinical trial. Journal of Psychiatric Research 40,
59–69.
Jonsson U, Bohman H, von Knorring L, Olsson G, Paaren A,
von Knorring AL (2011). Mental health outcome of
long-term and episodic adolescent depression : 15-year
follow-up of a community sample. Journal of Affective
Disorders 130, 395–404.
Kanai T, Takeuchi H, Furukawa TA, Yoshimura R,
Imaizumi T, Kitamura T, Takahashi K (2003).
Time to recurrence after recovery from major depressive
episodes and its predictors. Psychological Medicine 33,
839–845.
Kaymaz N, van Os J, Loonen AJ, Nolen WA (2008). Evidence
that patients with single versus recurrent depressive
episodes are differentially sensitive to treatment
discontinuation : a meta-analysis of placebo-controlled
randomized trials. Journal of Clinical Psychiatry 69,
1423–1436.
Khan AY, Carrithers J, Preskorn SH, Lear R,
Wisniewski SR, Rush AJ, Stegman D, Kelley C,
Kreiner K, Nierenberg AA, Fava M (2006). Clinical
and demographic factors associated with DSM-IV
melancholic depression. Annals of Clinical Psychiatry 18,
91–98.
Klein DN (2008). Classification of depressive disorders in
the DSM-V : proposal for a two-dimension system.
Journal of Abnormal Psychology 117, 552–560.
Klein DN (2010). Chronic depression : diagnosis and
classification. Current Directions in Psychological Science 19,
96–100.
Kocsis JH, Rush AJ, Markowitz JC, Borian FE, Dunner DL,
Koran LM, Klein DN, Trivedi MH, Arnow B, Keitner G,
Kornstein SG, Keller MB (2003). Continuation treatment
of chronic depression : a comparison of nefazodone,
cognitive behavioral analysis system of psychotherapy,
and their combination. Psychopharmacology Bulletin 37,
73–87.
Kriston L, von Wolff A, Ho¨ lzel L (2010). Effectiveness of
psychotherapeutic, pharmacological, and combined
treatments for chronic depression : a systematic review
(METACHRON). BMC Psychiatry 10, 95.
Linn BS, Linn MW, Gurel L (1968). Cumulative illness
rating scale. Journal of the American Geriatrics Society 16,
622–626.
Miller MD, Paradis CF, Houck PR, Mazumdar S, Stack JA,
Rifai AH, Mulsant B, Reynolds 3rd CF (1992). Rating
chronic medical illness burden in geropsychiatric practice
and research : application of the Cumulative Illness Rating
Scale. Psychiatry Research 41, 237–248.
Mondimore FM, Zandi PP, Mackinnon DF, McInnis MG,
Miller EB, Crowe RP, Scheftner WA, Marta DH,
Weissman MM, Levinson DF, Murphy-Ebenez KP,
Depaulo Jr. JR, Potash JB (2006). Familial aggregation of
illness chronicity in recurrent, early-onset major
depression pedigrees. American Journal of Psychiatry 163,
1554–1560.
Nierenberg AA, Trivedi MH, Ritz L, Burroughs D, Greist J,
Sackeim H, Kornstein S, Schwartz T, Stegman D, Fava M,
Wisniewski SR (2004). Suicide risk management for the
sequenced treatment alternatives to relieve depression
study : applied NIMH guidelines. Journal of Psychiatric
Research 38, 583–589.
Prior course of illness and depression treatment outcomes 1147
Novick JS, Stewart JW, Wisniewski SR, Cook IA, Manev R,
Nierenberg AA, Rosenbaum JF, Shores-Wilson K,
Balasubramani GK, Biggs MM, Zisook S, Rush AJ (2005).
Clinical and demographic features of atypical depression
in outpatients with major depressive disorder: preliminary
findings from STAR*D. Journal of Clinical Psychiatry 66,
1002–1011.
Nutt DJ (2010). Rationale for, barriers to, and appropriate
medication for the long-term treatment of depression.
Journal of Clinical Psychiatry 71 (Suppl. E1), e02.
Pettit JW, Lewinsohn PM, Roberts RE, Seeley JR, Monteith
L(2009). The long-term course of depression : development
of an empirical index and identification of early adult
outcomes. Psychological Medicine 39, 403–412.
Roca M, Armengol S, Garcı
´a-Garcı
´a M, Rodriguez-Bayo
´n
A, Ballesta I, Serrano MJ, Comas A, Gili M (2011). Clinical
differences between first and recurrent episodes in
depressive patients. Comprehensive Psychiatry 52, 26–32.
Rush AJ, Bernstein IH, Trivedi MH, Carmody TJ,
Wisniewski S, Mundt JC, Shores-Wilson K, Biggs MM,
Woo A, Nierenberg AA, Fava M (2006a). An evaluation
of the Quick Inventory of Depressive Symptomatology and
the Hamilton Rating Scale for Depression : a Sequenced
Treatment Alternatives to Relieve Depression trial report.
Biological Psychiatry 59, 493–501.
Rush AJ, Carmody TJ, Ibrahim HM, Trivedi MH,
Biggs MM, Shores-Wilson K, Crismon ML, Toprac MG,
Kashner TM (2006b). Comparison of self-report and
clinician ratings on two inventories of depressive
symptomatology. Psychiatric Services 57, 829–837.
Rush AJ, Carmody TJ, Reimitz PE (2000). The Inventory
of Depressive Symptomatology (IDS) : clinician (IDS-C)
and self-report (IDS-SR) ratings of depressive symptoms.
International Journal of Methods in Psychiatric Research 9,
45–59.
Rush AJ, Fava M, Wisniewski SR, Lavori PW, Trivedi MH,
Sackeim HA, Thase ME, Nierenberg AA, Quitkin FM,
Kashner TM, Kupfer DJ, Rosenbaum JF, Alpert J,
Stewart JW, McGrath PJ, Biggs MM, Shores-Wilson K,
Lebowitz BD, Ritz L, Niederehe G (2004).
Sequenced Treatment Alternatives to Relieve Depression
(STAR*D) : rationale and design. Controlled Clinical Trials
25, 119–142.
Rush AJ, Gullion CM, Basco MR, Jarrett RB, Trivedi MH
(1996). The Inventory of Depressive Symptomatology
(IDS): psychometric properties. Psychological Medicine 26,
477–486.
Rush AJ, Kraemer HC, Sackeim HA, Fava M, Trivedi MH,
Frank E, Ninan PT, Thase ME, Gelenberg AJ, Kupfer DJ,
Regier DA, Rosenbaum JF, Ray O, Schatzberg AF
(2006c). Report by the ACNP Task Force on response and
remission in major depressive disorder.
Neuropsychopharmacology 31, 1842–1853.
Rush AJ, Trivedi MH, Carmody TJ, Ibrahim H,
Markowitz JC, Keitner GI, Kornstein SG, Arnow B,
Klein DN, Manber R, Dunner DL, Gelenberg AJ,
Kocsis JH, Nemeroff CB, Fawcett J, Thase ME,
Russell JM, Jody DN, Borian FE, Keller MB (2005 a).
Self-reported depressive symptom measures : sensitivity to
detecting change in a randomized, controlled trial of
chronically depressed, nonpsychotic outpatients.
Neuropsychopharmacology 30, 405–416.
Rush AJ, Trivedi MH, Ibrahim HM, Carmody TJ, Arnow B,
Klein DN, Markowitz JC, Ninan PT, Kornstein S,
Manber R, Thase ME, Kocsis JH, Keller MB (2003). The
16-Item Quick Inventory of Depressive Symptomatology
(QIDS), clinician rating (QIDS-C), and self-report
(QIDS-SR) : a psychometric evaluation in patients
with chronic major depression. Biological Psychiatry 54,
573–583.
Rush AJ, Zimmerman M, Wisniewski SR, Fava M,
Hollon SD, Warden D, Biggs MM, Shores-Wilson K,
Shelton RC, Luther JF, Thomas B, Trivedi MH
(2005b). Comorbid psychiatric disorders in depressed
outpatients: demographic and clinical features. Journal of
Affective Disorders 87, 43–55.
Satyanarayana S, Enns MW, Cox BJ, Sareen J (2009).
Prevalence and correlates of chronic depression in the
Canadian community health survey: mental health and
well-being. Canadian Journal of Psychiatry 54, 389–398.
Solomon DA, Keller MB, Leon AC, Mueller TI, Shea MT,
Warshaw M, Maser JD, Coryell W, Endicott J (1997).
Recovery from major depression. A 10-year prospective
follow-up across multiple episodes. Archives of General
Psychiatry 54, 1001–1006.
Stegenga BT, Kamphuis MH, King M, Nazareth I,
Geerlings MI (2010). The natural course and outcome
of major depressive disorder in primary care : the
PREDICT-NL study. Social Psychiatry and Psychiatric
Epidemiology. Published online : 6 November 2010.
doi:10.1007/s00127-010-0317-9.
Trivedi MH, Rush AJ, Gaynes BN, Stewart JW,
Wisniewski SR, Warden D, Ritz L, Luther JF, Stegman D,
DeVeaugh-Geiss J, Howland R (2007). Maximizing the
adequacy of medication treatment in controlled trials and
clinical practice : STAR*D measurement-based care.
Neuropsychopharmacology 32, 2479–2489.
Trivedi MH, Rush AJ, Ibrahim HM, Carmody TJ,
Biggs MM, Suppes T, Crismon ML, Shores-Wilson K,
Toprac MG, Dennehy EB, Witte B, Kashner TM (2004).
The Inventory of Depressive Symptomatology, Clinician
Rating (IDS-C) and Self-Report (IDS-SR), and the Quick
Inventory of Depressive Symptomatology, Clinician Rating
(QIDS-C) and Self-Report (QIDS-SR) in public sector
patients with mood disorders : a psychometric evaluation.
Psychological Medicine 34, 73–82.
Trivedi MH, Rush AJ, Wisniewski SR, Nierenberg AA,
Warden D, Ritz L, Norquist G, Howland RH, Lebowitz B,
McGrath PJ, Shores-Wilson K, Biggs MM,
Balasubramani GK, Fava M (2006). Evaluation of
outcomes with citalopram for depression using
measurement-based care in STAR*D : implications
for clinical practice. American Journal of Psychiatry 163,
28–40.
Vuorilehto MS, Melartin TK, Isometsa¨ET(2009). Course
and outcome of depressive disorders in primary care : a
prospective 18-month study. Psychological Medicine 39,
1697–1707.
Wisniewski SR, Rush AJ, Balasubramani GK, Trivedi MH,
Nierenberg AA,for the STAR*D Investigators (2006).
1148 A. J. Rush et al.
Self-rated global measure of the frequency, intensity,
and burden of side effects. Journal of Psychiatric Practice 12,
71–79.
Zimmerman M, Mattia JI (2001a). A self-report scale to help
make psychiatric diagnoses : the Psychiatric Diagnostic
Screening Questionnaire. Archives of General Psychiatry 58,
787–794.
Zimmerman M, Mattia JI (2001b). The Psychiatric Diagnostic
Screening Questionnaire : development, reliability and
validity. Comprehensive Psychiatry 42, 175–189.
Prior course of illness and depression treatment outcomes 1149
... The 0.5 mg/kg ketamine infusion was more beneficial in ameliorating melancholic and suicidal symptoms but less beneficial in ameliorating anxiety distress symptoms. In addition, 0.2 mg/kg ketamine was insufficient to exert rapid antidepressant and antisuicidal effects in the patient population.The Sequenced Treatment Alternatives to Relieve Depression study demonstrated that nearly one-third of patients with major depressive disorder did not achieve remission when subjected to a four-stage treatment protocol that entailed administering citalopram first, followed by switching to bupropion or venlafaxine, then augmenting with lithium or thyroxine, and again switching to a combination of mirtazapine and venlafaxine(Rush et al., 2006).Rush et al. observed that remission rates were lowest and slowest for those with chronic episodes (approximately 15% of total study patients), which may be consistent with the outcomes of patients with severe and chronic illness who were enrolled in the current study(Rush et al., 2012). Ionescu et al. suggested a higher-dose (i.e., 1 mg/kg) ketamine infusion to achieve rapid antidepressant and antisuicidal effects in patients with extremely severe depression(Ionescu et al., 2019). ...
Article
Background Whether a single low-dose ketamine infusion may have rapid antidepressant and antisuicidal effects in patients with treatment-resistant double depression remains unclear. Methods This study enrolled 35 patients with treatment-resistant double depression, 12 of whom received 0.5 mg/kg ketamine, 11 received 0.2 mg/kg ketamine, and 12 received normal saline as a placebo. The patients were assessed using the 17-item Hamilton Rating Scale for Depression (HDRS) prior to the initiation of infusions, at 40 and 240 min post-infusion, and sequentially on Days 2–7 and on Day 14 after ketamine or placebo infusions. Results A single 0.5 mg/kg ketamine infusion had rapid antidepressant (p = 0.031, measured by the HDRS) and antisuicidal (p = 0.033, measured by the HDRS item 3 scores) effects in patients with treatment-resistant double depression. However, 0.2 mg/kg ketamine was insufficient to exert rapid antidepressant and antisuicidal effects in this patient population with severe and chronic illness. Discussion In this patient population, the commonly used dose of 0.5 mg/kg was sufficient. Additional studies are required to investigate whether repeated infusions of low-dose ketamine may also maintain antidepressant and antisuicidal effects in patients with treatment-resistant double depression.
... Treatment-resistant major depression (TRMD) is a severe form of major depressive disorder (MDD) in which patients fail to respond to multiple standard antidepressant treatments (1,2). The lifetime prevalence of MDD is estimated to be about 10 to 20%, of which at least one-third of patients are estimated to be at risk for TRMD (3)(4)(5). For the United States alone, this equates to about 17 million adults with TRMD (6). ...
Article
Full-text available
Nitrous oxide at 50% inhaled concentration has been shown to improve depressive symptoms in patients with treatment-resistant major depression (TRMD). Whether a lower concentration of 25% nitrous oxide provides similar efficacy and persistence of antidepressant effects while reducing the risk of adverse side effects is unknown. In this phase 2 clinical trial ( NCT03283670 ), 24 patients with severe TRMD were randomly assigned in a crossover fashion to three treatments consisting of a single 1-hour inhalation with (i) 50% nitrous oxide, (ii) 25% nitrous oxide, or (iii) placebo (air/oxygen). The primary outcome was the change on the Hamilton Depression Rating Scale (HDRS-21). Whereas nitrous oxide significantly improved depressive symptoms versus placebo ( P = 0.01), there was no difference between 25 and 50% nitrous oxide ( P = 0.58). The estimated differences between 25% and placebo were −0.75 points on the HDRS-21 at 2 hours ( P = 0.73), −1.41 points at 24 hours ( P = 0.52), −4.35 points at week 1 ( P = 0.05), and −5.19 points at week 2 ( P = 0.02), and the estimated differences between 50% and placebo were −0.87 points at 2 hours ( P = 0.69), −1.93 points at 24 hours ( P = 0.37), −2.44 points at week 1 ( P = 0.25), and −7.00 points at week 2 ( P = 0.001). Adverse events declined substantially with dose ( P < 0.001). These results suggest that 25% nitrous oxide has comparable efficacy to 50% nitrous oxide in improving TRMD but with a markedly lower rate of adverse effects.
... In this sense, 40% of our responders had a self-reported history of psychiatric illness which was strongly associated with the severity of current levels of stress, anxiety, and depression. These results are not surprising considering that subjects with a previous history of psychiatric illness are more susceptible to a high risk of recurrence (Batelaan et al., 2017;Rush et al., 2012), and new episodes may be triggered by stressors. ...
Article
Public health interventions at general population level are imperative in order to decrease the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), but they may contribute to widespread emotional distress and increased risk for psychiatric illnesses. We report on the results of an investigation into the occurrence and determinants of psychiatric symptoms among the Brazilian general population (N = 1996). We assessed sociodemographic variables and general mental health (DSM-5 Self-Rated Level 1 Cross-Cutting Symptom Measure), depression (PROMIS depression v.8a), anxiety (PROMIS anxiety v.8a), and post-traumatic stress symptoms (Impact of Event Scale-IES-R scale) using an online web-based survey. Anxiety (81.9%), depression (68%), anger (64.5%), somatic symptoms (62.6%) and sleep problems (55.3%) were the most common psychiatric symptoms. Younger age, female gender, low income, lower level of education, longer period of social distancing, and self-reported history of previous psychiatric illness were strongly associated with higher severity of symptoms. Our results support the negative impact of the COVID-19 pandemic on the mental health of the Brazilian population. The high prevalence of psychiatric symptoms observed in our sample indicates that the mental health impact of the COVID-19 pandemic should be considered a public health problem in Brazil. The health systems and individual clinicians must be prepared to offer and implement specific interventions in order to identify and treat psychiatric issues.
... Major depressive disorder (MDD) is one of the most common severe mental disorders with a 17.8% lifetime prevalence in global population 1 . Unfortunately, current antidepressant drugs still have obvious shortcomings, including delayed onset, insufficient effectiveness, and low remission rates [2][3][4][5] , which combined with a high prevalence have significantly exacerbated the disease to be the second leading cause of disability worldwide according to the 2020 Global Burden of Disease Study 6 . Therefore, it is imperative in the study of antidepressant treatment to achieve a rapid improvement of depressive symptoms and to increase the recovery rate of the first episode of MDD 7,8 . ...
Article
Full-text available
In order to determine the role of single nucleotide variants (SNVs) in modulating antidepressant response, we conducted a study, consisting of 929 major depressive disorder (MDD) patients, who were treated with antidepressant drugs (drug-only) or in combination with a repetitive transcranial magnetic stimulation (plus-rTMS), followed by targeted exome sequencing analysis. We found that the “plus-rTMS” patients presented a more effective response to the treatment when compared to the ‘drug-only’ group. Our data firstly demonstrated that the SNV burden had a significant impact on the antidepressant response presented in the “drug-only” group, but was limited in the “plus-rTMS” group. Further, after controlling for overall SNV burden, seven single nucleotide polymorphisms (SNPs) at five loci, IL1A, GNA15, PPP2CB, PLA2G4C, and GBA, were identified as affecting the antidepressant response at genome-wide significance (P < 5 × 10−08). Additional multiple variants achieved a level of correction for multiple testing, including GNA11, also shown as a strong signal for MDD risk. Our study showed some promising evidence on genetic variants that could be used as individualized therapeutic guides for MDD patients.
... Pharmacological treatments provided in outpatient settings are a relatively low-cost, first-line treatment for depressive disorders, but fewer than 50% of patients respond after 14 weeks . Cognitive behavioral therapy (CBT) alone or added to pharmacotherapy significantly improves response rates for those with treatment-resistant and chronic depression (Cuijpers et al., 2010;McCullough, 2003;Rush et al., 2006;Wiles et al., 2013), yet remission rates following these treatments are low (40% or less), and relapse rates are high among those who do remit Rush et al., 2012;Schramm et al., 2017). One way to begin to improve these treatments is to identify variables that predict better and worse outcomes and then to use that information to refine and increase the precision of the best available treatments (Hayes, Laurenceau, Feldman, Strauss, & Cardaciotto, 2007c;Kazdin, 2007). ...
Article
Recent clinical research suggests that facilitating psychological flexibility and emotional processing and decreasing rumination and avoidance are important tasks of treatment for disorders characterized by entrenched patterns of psychopathology, such as major depressive disorder. The current study examined these processes as predictors of treatment outcomes in a subsample of depressed adult patients (n = 49) who had not fully responded to antidepressant medication and were randomized to receive cognitive–behavioral therapy (CBT). Target variables were coded from session recordings at baseline and in the vicinity of two therapeutic transition points: a sudden gain (improvement) and a transient spike in depression symptoms, or at similar periods for those without such transitions. Results indicated that psychological flexibility during the pre-sudden gain period predicted less depression at 12-month follow-up, beyond baseline symptoms and other co-occurring processes. Interaction analyses revealed that when flexibility was low during the post-spike period, avoidance and rumination predicted higher depressive symptoms, whereas emotional processing predicted lower symptoms at the 12-month follow-up. When flexibility was high, none of these variables were associated with outcome. Together, these findings highlight psychological flexibility as a key therapeutic target in CBT for treatment-resistant depression and might have implications for relapse prevention.
Article
Many psychiatric and neurological conditions are associated with cognitive impairment for which there are very limited treatment options. Brain stimulation methodologies show promise as novel therapeutics and have cognitive effects. Electroconvulsive therapy (ECT), known more for its related transient adverse cognitive effects, can produce significant cognitive improvement in the weeks following acute treatment. Transcranial magnetic stimulation (TMS) is increasingly used as a treatment for major depression and has acute cognitive effects. Emerging research from controlled studies suggests that repeated TMS treatments may additionally have cognitive benefit. ECT and TMS treatment cause neurotrophic changes, although whether these are associated with cognitive effects remains unclear. Transcranial electrical stimulation methods including transcranial direct current stimulation (tDCS) and transcranial alternating current stimulation (tACS) are in development as novel treatments for multiple psychiatric conditions. These treatments may also produce cognitive enhancement particularly when stimulation occurs concurrently with a cognitive task. This review summarizes the current clinical evidence for these brain stimulation treatments as therapeutics for enhancing cognition. Acute, or short-lasting, effects as well as longer-term effects from repeated treatments are reviewed, together with potential putative neural mechanisms. Areas of future research are highlighted to assist with optimization of these approaches for enhancing cognition.
Article
Full-text available
Approximately one-third of individuals in a major depressive episode will not achieve sustained remission despite multiple, well-delivered treatments. These patients experience prolonged suffering and disproportionately utilize mental and general health care resources. The recently proposed clinical heuristic of ‘difficult-to-treat depression’ (DTD) aims to broaden our understanding and focus attention on the identification, clinical management, treatment selection, and outcomes of such individuals. Clinical trial methodologies developed to detect short-term therapeutic effects in treatment-responsive populations may not be appropriate in DTD. This report reviews three essential challenges for clinical intervention research in DTD: (1) how to define and subtype this heterogeneous group of patients; (2) how, when, and by what methods to select, acquire, compile, and interpret clinically meaningful outcome metrics; and (3) how to choose among alternative clinical trial design options to promote causal inference and generalizability. The boundaries of DTD are uncertain, and an evidence-based taxonomy and reliable assessment tools are preconditions for clinical research and subtyping. Traditional outcome metrics in treatment-responsive depression may not apply to DTD, as they largely reflect the only short-term symptomatic change and do not incorporate durability of benefit, side effect burden, or sustained impact on quality of life or daily function. The trial methodology will also require modification as trials will likely be of longer duration to examine the sustained impact, raising complex issues regarding control group selection, blinding and its integrity, and concomitant treatments.
Article
Objective : To identify data-driven subgroups in Major Depressive Disorder (MDD) in order to elucidate underlying neural correlates and determine if these subgroups have utility in predicting response to antidepressant versus placebo. Methods : Using 27 clinical measures at baseline of Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care for Depression (EMBARC) study, participants with MDD (n=244) were sub grouped using principal component (PC) analysis. Baseline-to-week-8 changes in depression severity with sertraline versus placebo were compared in these subgroups. Resting-state functional connectivity of these subgroups were compared to those of healthy controls (n=38). Results : Eight subgroups were identified from four PCs: (PC1) severity of depression-associated symptoms, (PC2) sub-threshold mania and anhedonia, (PC3) childhood trauma, medical comorbidities, and sexual dysfunction, and (PC4) personality traits of openness and agreeableness. Participants with high childhood trauma experienced greater improvement with sertraline (Cohen's d=0.87), whereas those with either higher levels of subthreshold hypomanic symptoms (Cohen's d=0.67) or with lower levels of agreeableness and openness experienced greater improvement with placebo (Cohen's d=0.71). Participants with high childhood trauma had greater connectivity between salience and dorsal attention networks, whereas those with higher levels of subthreshold hypomanic symptoms and lower levels of agreeableness and openness had greater connectivity within limbic network and that of visual network with hippocampus and dorsal attention network. Conclusion : Assessing history of childhood trauma, presence of subthreshold hypomanic symptoms and personality traits may help to identify subgroups of patients with MDD who respond differentially to sertraline or placebo and have distinct neural signatures.
Article
Full-text available
Abstract Background The 17-item Hamilton Depression Rating Scale (HDRS17) is used world-wide as an observer-rated measure of depression in randomised controlled trials (RCTs) despite continued uncertainty regarding its factor structure. This study investigated the dimensionality of HDRS17 for patients undergoing treatment in UK mental health settings with moderate to severe persistent major depressive disorder (PMDD). Methods Exploratory Structural Equational Modelling (ESEM) was performed to examine the HDRS17 factor structure for adult PMDD patients with HDRS17 score ≥16. Participants (n = 187) were drawn from a multicentre RCT conducted in UK community mental health settings evaluating the outcomes of a depression service comprising CBT and psychopharmacology within a collaborative care model, against treatment as usual (TAU). The construct stability across a 12-month follow-up was examined through a measurement equivalence/invariance (ME/I) procedure via ESEM. Results ESEM showed HDRS17 had a bi-factor structure for PMDD patients (baseline mean (sd) HDRS17 22.6 (5.2); 87% PMDD >1 year) with an overall depression factor and two group factors: vegetative-worry and retardation-agitation, further complicated by negative item loading. This bi-factor structure was stable over 12 months follow up. Analysis of the HDRS6 showed it had a unidimensional structure, with positive item loading also stable over 12 months. Conclusions In this cohort of moderate-severe PMDD the HDRS17 had a bi-factor structure stable across 12 months with negative item loading on domain specific factors, indicating that it may be more appropriate to multidimensional assessment of settled clinical states, with shorter unidimensional subscales such as the HDRS6 used as measures of change.
Article
Importance Antidepressants are commonly used worldwide to treat major depressive disorder. Symptomatic response to antidepressants can vary depending on differences between individuals; however, this variability may reflect nonspecific or random factors. Objectives To investigate the assumption of systematic variability in symptomatic response to antidepressants and to assess whether this variability is associated with severity of major depressive disorder, antidepressant class, or year of study publication. Data Sources Data used were from a recent network meta-analysis of acute treatment with licensed antidepressants in adults with major depressive disorder. The following databases were searched from inception to January 8, 2016: the Cochrane Central Register of Controlled Trials, CINAHL, Embase, LILACS database, MEDLINE, MEDLINE In-Process, and PsycINFO. Additional sources were international trial registries, drug approval agency websites, and key scientific journals. Study Selection Analysis was restricted to double-blind, randomized placebo-controlled trials with available data at the study’s end point. Data Extraction and Synthesis Baseline and end point means, SDs, number of participants in each group, antidepressant class, and publication year were extracted. The data were analyzed between August 14 and November 18, 2019. Main Outcomes and Measures With the use of validated methods, coefficients of variation were derived for antidepressants and placebo, and their ratios were calculated to compare outcome variability between antidepressant and placebo. Ratios were entered into a random-effects model, with the expectation that response to antidepressants would be more variable than response to placebo. Analysis was repeated after stratifying by baseline severity of depression, antidepressant class (selective serotonin reuptake inhibitors: citalopram, escitalopram, fluoxetine, fluvoxamine, paroxetine, sertraline, and vilazodone; serotonin and norepinephrine reuptake inhibitors: desvenlafaxine and venlafaxine; norepinephrine-dopamine reuptake inhibitor: bupropion; noradrenergic agents: amitriptyline and reboxetine; and other antidepressants: agomelatine, mirtazapine, and trazodone), and publication year. Results In the 87 eligible randomized placebo-controlled trials (17 540 unique participants), there was significantly more variability in response to antidepressants than to placebo (coefficients of variation ratio, 1.14; 95% CI, 1.11-1.17; P < .001). Baseline severity of depression did not moderate variability in response to antidepressants. Variability in response to selective serotonin reuptake inhibitors was lower than variability in response to noradrenergic agents (coefficients of variation ratio, 0.88; 95% CI, 0.80-0.97; P = .01), as was the variability in response to other antidepressants compared with noradrenergic agents (coefficients of variation ratio, 0.87; 95% CI, 0.79-0.97; P = .001). Variability also tended to be lower in studies that were published more recently, with coefficients of variation changing by a value of 0.005 (95% CI, 0.002-0.008; P = .003) for every year a study is more recent. Conclusions and Relevance Individual differences may be systematically associated with responses to antidepressants in major depressive disorder beyond placebo effects or statistical factors. This study provides empirical support for identifying moderators and personalizing antidepressant treatment.
Article
Full-text available
Background: Antidepressants are effective in the prevention of relapse after remission from an acute depressive episode. It is unclear, however, to what degree duration of the continuation phase, level of abruptness of antidepressant discontinuation, or the number of previous episodes moderate the prophylactic effect of antidepressants. Data Sources: Searches were conducted to identify all published randomized, placebo-controlled, double-blind clinical trials available for review by May 2007 on the efficacy of continuation or maintenance treatment of major depressive disorder with either selective serotonin reuptake inhibitors (SSRIs) or tricyclic antidepressants (TCAs) that included patients entering a maintenance phase after achieving remission from the acute phase. The MEDLINE and EMBASE databases were searched using the terms depression, antidepressants, discontinuation, and maintenance treatment; this was followed by reference checks of articles thus identified. In addition, the Cochrane Library was also searched using the same terms. Some authors of the identified papers were contacted for specific data. Data Synthesis: Data were collected from 30 trials with 4890 participating patients. The overall reduction of relapse risk in the maintenance phase was highly significant for both SSRIs (OR = 0.24, 95% CI = 0.20 to 0.29) and TCAs (OR = 0.29 95% CI = 0.23 to 0.38) over I year of follow-up of maintenance treatment. The prophylactic effect appeared to be constant over the length of the continuation phase. Recurrent episode patients experienced less protection from antidepressants over the maintenance phase (OR = 0.37, 95% CI = 0.31 to 0.44) than single episode patients (OR = 0. 12, 95% CI = 0.06 to 0.26). Conclusions: Antidepressants robustly reduce relapse risk in the maintenance phase, regardless of a number of clinical and pharmacologic factors. There is evidence, however, that with increasing number of episodes, patients develop a relative resistance against the prophylactic properties of antidepressant medication.
Article
Full-text available
To examine the prevalence of chronic major depressive disorder (CMDD) and dysthymic disorder, their sociodemographic correlates, patterns of 12-month and lifetime psychiatric comorbidity, lifetime risk factors, psychosocial functioning, and mental health service utilization. Face-to-face interviews were conducted in the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions (n = 43,093). The 12-month and lifetime prevalences were greater for CMDD (1.5% and 3.1%, respectively) than for dysthymic disorder (0.5% and 0.9%, respectively). Individuals with CMDD and dysthymic disorder shared most sociodemographic correlates and lifetime risk factors for major depressive disorder. Individuals with CMDD and dysthymic disorder had almost identically high rates of Axis I and Axis II comorbid disorders. However, individuals with CMDD received higher rates of all treatment modalities than individuals with dysthymic disorder. Individuals with CMDD and dysthymic disorder share many sociodemographic correlates, comorbidity patterns, risk factors, and course. Individuals with chronic depressive disorders, especially those with dysthymic disorder, continue to face substantial unmet treatment needs.
Article
Background: Major depressive disorder is often marked by repeated episodes of depression. We describe recovery from major depession across multiple mood episodes in patients with unipolar major depression at intake and examine the association of sociodemographic and clinical variables with duration of illness.Methods: A cohort of 258 subjects treated for unipolar major depressive disorder was followed up prospectively for 10 years as part of the Collaborative Depression Study, a multicenter naturalistic study of the mood disorders. Diagnoses were made according to the Research Diagnostic Criteria, and the course of illness was assessed with the Longitudinal Interval Follow-up Evaluation. Survival analyses were used to calculate the duration of illness for the first 5 recurrent mood episodes after recovery from the index episode.Results: Diagnosis remained unipolar major depressive disorder for 235 subjects (91%). The median duration of illness was 22 weeks for the first recurrent mood episode, 20 weeks for the second, 21 weeks for the third, and 19 weeks for the fourth and fifth recurrent mood episodes; the 95% confidence intervals were highly consistent. From one episode to the next, the proportion of subjects who recovered by any one time point was similar. For subjects with 2 or more recoveries, the consistency of duration of illness from one recovery to the next was low to moderate. None of the sociodemographic or clinical variables consistently predicted duration of illness.Conclusion: In this sample of patients treated at tertiary care centers for major depressive disorder, the duration of recurrent mood episodes was relatively uniform and averaged approximately 20 weeks.
Article
Traditionally, non-bipolar depression has been viewed as an episodic, remitting condition. However, with the recognition that depressions can persist for many years, the current diagnostic classification system includes various forms of chronic depression. The distinction between chronic and nonchronic depressions is useful for reducing the heterogeneity of the disorder. Individuals with chronic depression differ from those with nonchronic depression on a variety of clinically and etiologically significant variables, including comorbidity, impairment, suicidality, history of childhood maltreatment, familial psychopathology, and long-term course. In contrast, there is little support for current distinctions between different forms of chronic depression. This suggests that it may be simpler to collapse the existing forms of chronic depression in the current classification system into a single category. However, there is growing evidence that other characteristics, such as age of onset and a childhood history of early adversity, may provide meaningful approaches to subtyping chronic depression.
Article
This paper describes the rationale and methods entailed in developing the Inventory of Depressive Symptomatology (IDS) in both clinician-rated (IDS-C) and self-reported (IDS-SR) formats. Psychometric features of the both the IDS-C and IDS-SR are presented. These scales are compared to the Hamilton Rating Scale for Depression (HRS-D) in the detection of symptom change in patients with major depressive (n = 184) or bipolar disorder (n = 141). The face validity and established psychometric features of the IDS-C and IDS-SR indicate that either may be useful in detecting symptom change, as well as in detecting residual symptoms in depressed patients. Further efforts to shorten each measure are indicated. Copyright © 2000 Whurr Publishers Ltd.
Article
Antidepressants have proven efficacy in the treatment of acute depressive episodes and the prevention of relapse over the long-term. However, whether due to ignorance about the chronicity of depression, intolerable adverse effects, or an inappropriate fear of dependence, antidepressants are often discontinued after remission or recovery from an acute episode, which frequently leads to relapse or recurrence. This, in turn, increases the risk of subsequent poor treatment response and lifelong depressive chronicity. Clinicians should focus on preventing depressive relapse with long-term antidepressant pharmacotherapy, thereby improving patients' overall outcomes, particularly with patients at high risk for relapse. When patients with depression have comorbid anxiety, benzodiazepines may be useful but should be used only as short-term augmentation during the beginning phase of antidepressant treatment; long-term treatment of comorbid anxiety is better managed by antidepressants that also treat anxiety disorders.
Article
Depressive disorder is one of the most common mental disorders in primary care. Depression is often a chronic disorder with recurrent episodes. Little is known about the differences in clinical profile between first and recurrent episodes. The aim of the study is to analyze the differences between clinical presentation of first and subsequent episodes of depressive disorders in primary care patients. A cross-sectional epidemiologic study in primary care centers in Spain was designed. A total of 10,257 primary care patients having a Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition major depressive episode were analyzed. Clinical symptoms were measured using the Montgomery Asberg Depression Scale. Patient Health Questionnaire was used to assess somatic symptoms. There were 40.6% of patients who met the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria for recurrent depression. Compared with those diagnosed of their first major depressive disorder, recurrent patients had greater rates and severity of depressive (t = -7.85, P < .001) and somatic symptoms (t = 5.64, P < .001). The severity of symptoms also increases with number of episodes (F = 40.2, P < .001, for depressive symptoms; F = 27.8, P < .001, for somatic symptoms). First-episode patients were more likely to experience reduced appetite (adjusted odds ratio, 1.2) and suicidal thoughts (adjusted odds ratio, 1.2). There are differences in the clinical profile of initial and recurrent episodes in primary care depressive patients. Each recurrent depressive episode seems to have a greater impact on symptoms and well-being. The identification of a specific depression symptom profile in first or recurrent episodes is needed to improve the long-term management of major depressive episode patients in primary care settings.