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Questions: How commonly and how quickly does low back pain reoccur in a cohort of people who have recently recovered from an episode of low back pain? What are the prognostic factors for a recurrence of low back pain? Design: Prospective inception cohort study with monthly follow-up for 12 months. Participants: A total of 250 patients who had recovered from an episode of low back pain within the last month. Outcome measures: The primary outcome was days to recurrence of an episode of low back pain. Secondary outcomes were: days to recurrence of low back pain severe enough to limit activity moderately, and days to recurrence of low back pain for which healthcare was sought. Results: Within 12 months after recovery, 69% (95% CI 62 to 74) of participants had a recurrence of an episode of low back pain, 40% (95% CI 33 to 46) had a recurrence of activity-limiting low back pain, and 41% (95% CI 34 to 46) had a recurrence of low back pain for which healthcare was sought. The median time to recurrence of an episode of low back pain was 139 days (95% CI 105 to 173). Frequent exposure to awkward postures, longer time sitting (> 5 hours per day), and more than two previous episodes were predictive of recurrence of an episode of low back pain within 12 months (p < 0.01). Conclusion: Recurrence of low back pain is very common, with more than two-thirds of individuals having a recurrence within 12 months after recovery. Prognostic factors for a recurrence include exposure to awkward posture, longer time sitting, and more than two previous episodes.
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Research
Recurrence of low back pain is common: a prospective inception cohort study
Tatiane da Silva
a
, Kathryn Mills
a
, Benjamin T Brown
b
, Natasha Pocovi
a
, Tarcisio de Campos
a
,
Christopher Maher
c
, Mark J Hancock
a
a
Department of Health Professions, Macquarie University, Sydney;
b
Department of Chiropractic, Macquarie University, Sydney;
c
Institute for Musculoskeletal Heath, Sydney
School of Public Health, The University of Sydney, Australia
KEY WORDS
Risk
Recurrence
Low back pain
Prognosis
Cohort studies
ABSTRACT
Questions: How commonly and how quickly does low back pain reoccur in a cohort of people who have
recently recovered from an episode of low back pain? What are the prognostic factors for a recurrence of low
back pain? Design: Prospective inception cohort study with monthly follow-up for 12 months. Participants:
A total of 250 patients who had recovered from an episode of low back painwithin the last month. Outcome
measures: The primary outcome was days to recurrence of an episode of low back pain. Secondary outcomes
were: days to recurrence of low back pain severe enough to limit activity moderately, and days to recurrence
of low back pain for which healthcare was sought. Results: Within 12 months after recovery, 69% (95% CI 62
to 74) of participants had a recurrence of an episode of low back pain, 40% (95% CI 33 to 46) had a recurrence
of activity-limiting low back pain, and 41% (95% CI 34 to 46) had a recurrence of low back pain for which
healthcare was sought. The median time to recurrence of an episode of low back pain was 139 days (95% CI
105 to 173). Frequent exposure to awkward postures, longer time sitting (.5 hours per day), and more than
two previous episodes were predictive of recurrence of an episode of low back pain within 12 months (p,
0.01). Conclusion: Recurrence of low back pain is very common, with more than two-thirds of individuals
having a recurrence within 12 months after recovery. Prognostic factors for a recurrence include exposure to
awkward posture, longer time sitting, and more than two previous episodes. [da Silva T, Mills K, Brown BT,
Pocovi N, de Campos T, Maher C, Hancock MJ (2019) Recurrence of low back pain is common: a pro-
spective inception cohort study. Journal of Physiotherapy -:--]
© 2019 Australian Physiotherapy Association. Published by Elsevier B.V. This is an open access article under
the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Introduction
The majority of patients presenting with acute low back pain
(LBP) recover quickly;
1
however, recurrences are believed to be
common and are likely to be responsible for much of the burden
associated with LBP.
2,3
A recent systematic review investigating the
risk of a recurrence of LBP in patients who have recovered from a
previous episode concluded that it is not yet possible to obtain robust
estimates of the risk of recurrence, due to the heterogeneity and
generally poor methodological quality of the small number of exist-
ing studies.
4
The review also found very little evidence about prog-
nostic factors for recurrence of LBP. The presence of previous
episodes of LBP was the only consistent prognostic factor for
recurrence.
5,6
Most previous studies
710
investigating recurrence of LBP
included survival cohorts of people who recovered from a previous
episode of LBP at different times in the past, and may have been
recovered for long and variable periods. Studies based on survival
cohorts may produce biased estimates because the prognosis of
people who have had a condition for a long time is likely to be
different from those who recently developed the condition.
11
Inception cohort studies enrol participants at an early and uniform
time point in the course of the condition and follow them to observe
if an event of interest occurs (eg, death or recurrence).
11,12
Inception
cohort studies therefore avoid the bias associated with survival
cohorts.
11
Another limitation of previous studies is the use of different
recurrence denitions or the lack of any clear denition of a
recurrence.
59
Different denitions are likely to produce different
estimates of recurrence. A recent consensus document dened a
recurrence of an episode of LBP as a return of LBP lasting at least 24
hours with a pain intensity of .2 on an 11-point numerical rating
scale following a period of at least 30 days pain-free.
13
Furthermore,
most previous studies
710,14,15
do not clearly describe how recovery
from the previous episode was dened, so it is unclear whether
participants had recovered and were therefore truly at risk of
recurrence, or for how long they had recovered prior to entering the
study. Therefore, a large, well-designed inception cohort study to
provide reliable estimates of the risk of recurrence and to identify
prognostic factors is needed.
Therefore, the research questions for this inception cohort study
were:
1. How commonly and how quickly does LBP reoccur in a cohort of
people who have recently recovered from an episode of LBP?
2. What are the prognostic factors for a recurrence of LBP?
Journal of Physiotherapy -(2019) --
https://doi.org/10.1016/j.jphys.2019.04.010
1836-9553/© 2019 Australian Physiotherapy Association. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/
licenses/by-nc-nd/4.0/).
journal homepage: www.elsevier.com/locate/jphys
Methods
Design
This prospective inception cohort study recruited patients who
had recovered from an episode of LBP within the past month and who
had been discharged from primary care practices in Sydney, Australia,
from August 2015 to August 2017. Physiotherapists and chiropractors
practising within metropolitan Sydney screened consecutive patients
with LBP for eligibility. Patients were informed about the study and
invited to either contact the researchers directly or provide their
contact details if they were interested in nding out more about the
study. Potential participants were then contacted by telephone to
discuss the details of the study and assess their eligibility for
participation. Participants were followed monthly for 12 months.
Participants
Inclusion criteria were age 18 years, and recovery within the last
month from a previous episode of non-specic LBP with or without
associated leg pain or radiculopathy. Non-specic LBP was dened as
pain in the area between the 12th rib and buttock crease not
attributed to a specic diagnosis (eg, ankylosing spondylitis, vertebral
fracture).
1618
Recovery was dened as a score of 0 or 1 on an 11-point
numerical rating scale for 7 consecutive days.
19,20
If individuals were
willing to participate when initially contacted but were not yet
recovered, they were followed up fortnightly until they were
recovered. Individuals were excluded if they met any of the following
criteria: previous spinal surgery, spinal surgery scheduled in the
following 12 months, or inadequate English comprehension to
complete the outcome measures.
Baseline measures
Participants had the option of completing the baseline assessment
either by telephone or as an online Qualtrics survey.
21
At baseline,
demographic data and a range of potential prognostic factors for
recurrence of LBP were collected. Fifteen a priori prognostic factors
were chosen based on the existing literature or biological plausibility
of a factor being predictive of a recurrence of LBP.
4,22
Table 1 describes
all prognostic factors that were investigated, how they were
measured, and how they were coded in the analyses. The prognostic
factors were measured using previously published
19,2225
and
validated questionnaires.
26,27
Outcome measures
The primary outcome was days to recurrence of an episode of LBP.
Recurrence of an episode of LBP was dened according to the
consensus denition as return of LBP lasting at least 24 hours with a
pain intensity of .2 on an 11-point numerical rating scale.
13
Secondary outcomes were: days to recurrence of LBP severe enough
to limit activity, and days to recurrence of LBP for which healthcare
was sought. Recurrence of activity-limiting LBP was dened as a
recurrence of an episode of LBP causing moderate or greater activity
limitation measured using an adaptation of Item 8 of the 36-Item
Short Form Survey (SF-36).
27
This was measured using the
question: During the recurrence, how much did low back pain
interfere with your normal work (including work both outside the
home and housework)?The response options were: not at all, a little
bit, moderately, quite a bit, and extremely. Recurrence of LBP causing
care-seeking was dened as recurrence of an episode of LBP resulting
in a consultation with a healthcare provider.
Follow-up
Participants were contacted monthly by email or text message
(based on the participants preference) for 12 months. Participants
were asked if they had a recurrence of LBP lasting at least 24 hours
and with a pain intensity of .2 on an 11-point numerical rating scale.
If a participant reported a recurrence, they were contacted by
telephone to obtain a detailed description of the episode. Participants
not responding to monthly follow-up within 48 hours were contacted
by telephone. If a recurrence was reported, participants were no
longer followed monthly, but continued to complete follow-up
assesments at 3, 6, 9 and 12 months. Using this approach, the
Table 1
Candidate prognostic factors for a recurrence of LBP.
Candidate prognostic factor Data format at collection Coding of data in the model
Age Age in years (continuous) Continuous
Body mass index Calculated as height in m divided by the square of weight in kg (continuous) Continuous
Smoking history How would you describe your cigarette smoking? (never, used to smoke but
have quit, or current smoker)
Categorical: Never; Used to smoke but have quit;
Current smoker
Exposure to heavy loads How often are you engaged in any manual task involving heavy loads?
(never; very rarely, rarely, occasionally, frequently, very frequently)
Categorical: Rarely (rarely, very rarely or never);
Occasionally; Frequently (frequently or very frequently)
Exposure to awkward posture How often are you engaged in any manual task or activity involving an
awkward position? (never, very rarely, rarely, occasionally, frequently, or
very frequently)
Categorical: Rarely (rarely, very rarely or never);
Occasionally; Frequently (frequently or very frequently)
Physical activity The Active Australia Questionnaire (vigorous, moderate, or low) Categorical: Vigorous; Moderate; and Low
Time sitting Could you indicate how many hours you spend sitting on an average
weekday, including sitting for travel, work and leisure? (continuous)
Categorical: 0 to 5 hours; .5 hours
General health In general, would you say your health is: (excellent, very good, good,
fair, or poor)
Categorical: Excellent (excellent or very good);
Good; and Poor (fair or poor)
Number of previous episodes How many previous episodes of low back pain have you had? (continuous) Categorical: 1 to 2 episodes; 3 to 10 episodes; .10 episodes
Duration of last episode How long did your most recent episode of low back pain last (days)?
(continuous)
Categorical: ,2 weeks; 2 to 6 weeks; 6 to 12 weeks
Perceived risk of recurrence In your view, how large is the risk that you will develop a recurrence
of low back pain in the following 12 months? Considering a 0-to-10
numerical scale. (Continuous)
Categorical: 0 to 5 points; .5 points
Depression DASS21 (normal, mild, moderate, severe, or extremely severe) Categorical: Normal (normal or mild); Moderate
(moderate, severe or extremely severe)
Anxiety DASS21 (normal, mild, moderate, severe, or extremely severe) Categorical: Normal (normal or mild); Moderate
(moderate, severe or extremely severe)
Stress DASS21 (normal, mild, moderate, severe, or extremely severe) Categorical: Normal (normal or mild); Moderate
(moderate, severe or extremely severe)
Sleep quality During the past week, how would you rate your sleep quality overall?
(very good, fairly good, fairly bad, or very bad)
Categorical: Good (very good or fairly good); Bad
(fairly bad or very bad)
DASS-21 = Depression, Anxiety and Stress Scale - 21 Items, LBP = low back pain.
2da Silva et al: Risk of recurrence of low back pain
number of days to rst recurrence was able to be determined for each
of the three recurrence denitions.
Data analysis
Sample size calculation was based on the two aims related to
recurrence proportions and prognostic factors for a recurrence. For
the calculation related to recurrence proportion, considering the
recurrence estimate of 33% based on previous studies,
6,28
and a
required precision of the sample estimate within 6 absolute
percentage points, that is a 95% condence interval from 27 to 39%, a
sample size of 236 was required. With respect to the aim of
investigating prognostic factors, previous studies suggest at least 10
events per candidate variable in the multivariate model.
29,30
Based
on the recurrence estimate of 33%, a sample of 250 participants
would result in 83 events enabling eight candidate predictor
variables to be investigated in the model. Therefore, eight predictor
variables were pre-specied from the initial list of 15: age, exposure
to heavy loads, exposure to awkward posture, physical activity, time
sitting, number of previous episodes of LBP, perceived risk of
recurrence of LBP, and depression. However, if the recurrence
proportion was higher, it was planned to investigate up to 15
variables, depending on the number of events. Therefore, a sample
size of 250 was used.
We censored participants for whom follow-up data were
missing or who did not have a recurrence at the time of their last
follow-up. Censoring allows use of data from people who do not
experience the outcome during the time period that they were
followed.
31,32
Survival curves plotting days to recurrence were used to describe
the proportion of people who had a recurrence, considering each of
the three denitions over 1 year. Time to recurrence was treated in
two ways: inception time uncorrected, which considered the time of
study entry as the reference time; and inception time corrected,
which transformed the time data by adding the number of days that
patients were recovered before entering the study, as this was
available for all participants.
1
Inception time uncorrected was
considered the primary outcome.
Cox regression was used to investigate prognostic factors for
recurrence. First, some of the variables (exposure to heavy loads,
exposure to awkward posture, number of previous episodes,
depression, general health, duration of previous episodes, anxiety,
stress, and sleep quality) were recoded into ordinal categories
(Table 1). Visual inspection of survival curves and Cox regression
with time as the dependent variable were used to check the
proportional hazards assumption for each variable. Linearity of
continuous variables was assessed via visual inspection of survival
curves. We rst ran univariate Cox regression models to test for an
association between each individual variable and time to recurrence.
These were used to understand univariate associations and help
interpretation of the multivariate model eligibility for the
multivariate model.
33
Multivariate Cox regression analysis was then
conducted using a backward selection procedure with p-values of
,0.05 to enter the model and .0.10 to exit the model.
Completeness of follow-up was calculated using the completeness
index.
31
This index indicates the sum of follow-up times divided by
the sum of potential follow-up times. A completeness index value of
100% indicates complete follow-up. All analyses were performed
with commercial software.
Results
Flow of participants through the study
A total of 409 consecutive potential participants were referred
from 22 primary care practices (19 physiotherapists and nine
chiropractors). Of the 409 potential participants, 250 met the
inclusion criteria and entered the study (Figure 1). In total, 236
participants (94%) were successfully followed until a recurrence or
were censored at the 12-month follow-up. The remaining 14 patients
were lost to follow-up during the 12-month follow-up period and
were censored early. Completeness of follow-up, according to the
completeness index, was 96% of person time.
Characteristics of participants
The mean age of participants was 50 years (SD 15); 50% were
male, and 79% were referred from a physiotherapist. The median
days from the date of recovery to the date of study entry was 14 days
(IQR 7 to 27.5). The median number of previous episodes was ve
episodes (IQR 2 to 18.5), and the median duration for the previous
episode was 14 days (IQR 5 to 40.5). Table 2 presents baseline
demographic data for the study participants and Table 3 presents
their baseline data for the candidate prognostic factors, with
additional details for both sets of data provided in Table 4
(see eAddenda for Table 4).
Included and baseline data
collected (n = 250)
Screened for eligibility (n = 409)
Followed up until a recurrence or
censored at 12 months (n = 236)
Not included (n = 159)
declined to participate (n = 63)
uncontactable (n = 44)
had not recovered (n = 9)
chronic low back pain (n = 18)
pain elsewhere (n = 11)
spinal surgery (n = 5)
>1 month pain free (n = 4)
non-English speaker (n = 2)
pregnancy (n = 1)
moving overseas (n = 1)
age <18 years (n = 1)
Informed consent (n = 250)
Censored early (n = 14)
Figure 1. Flow of participants through the study.
Table 2
Baseline demographic characteristics of the study participants.
Variable Participants (n = 250)
Age (y), mean (SD) 50 (15)
Gender, n male (%) 125 (50)
Primary care clinician, n (%)
physiotherapist 198 (79)
Education level, n (%)
primary school 1 (,1)
some secondary school 1 (,1)
completed high school 56 (22)
some additional training 51 (20)
undergraduate university 84 (34)
postgraduate university 57 (23)
Research 3
Recurrence of an episode of low back pain
Using the uncorrected time, the cumulative probability of a
recurrence of an episode of LBP was 38% (95% CI 32 to 44) by 3
months, 56% (95% CI 49 to 62) by 6 months, and 69% (95% CI 62 to 74)
by 12 months. The median time to recurrence of an episode of LBP
was 139 days (95% CI 105 to 173) when calculated using the
uncorrected time, and 146 days (95% CI 114 to 178) using the
corrected time.
Recurrence of activity-limiting low back pain
Using the uncorrected time, the cumulative probability of a
recurrence of activity-limiting LBP was 17% (95% CI 13 to 22) by 3
months, 28% (95% CI 22 to 33) by 6 months, and 40% (95% CI 33 to 46)
by 12 months. Less than 50% of participants had a recurrence of
activity-limiting LBP by 1 year, so median time to recurrence could
not be calculated. The 75th percentile survival times (25% had
experienced a recurrence of activity-limiting LBP) was 152 days (95%
CI 104 to 201) when calculated using the uncorrected time and 163
days (95% CI 112 to 214) using the corrected time.
Recurrence of low back pain for which healthcare was sought
Using the uncorrected time, the cumulative probability of a
recurrence of LBP causing care-seeking was 12% (95% CI 8 to 17) by 3
months, 25% (95% CI 19 to 30) by 6 months, and 41% (95% CI 34 to 46)
by 12 months. Less than 50% of participants had a recurrence of LBP
causing care-seeking by 1 year, so median time to recurrence could
not be calculated. The estimate of 75th percentile survival times (25%
had experienced a recurrence) to a recurrence of LBP causing
care-seeking was 193 days (95% CI 139 to 247) when calculated using
the uncorrected time, and 207 days (95% CI 145 to 269) using the
corrected time.
Figure 2 presents the Kaplan-Meier survival curves for the
three denitions of recurrence, based on the uncorrected
inception time.
Prognostic factors for a recurrence of an episode of low back pain
As the recurrence of an episode of LBP proportion was higher than
expected (170 events), we were able to investigate 15 candidate
predictors (allowing at least 10 events per predictor). There was no
evidence that any of the continuous variables violated the linearity
assumption. However, the variables time spent sittingand
perceived risk of recurrenceviolated the proportional hazards
assumption. Therefore, both variables were dichotomised using a
median split and the proportional hazards assumption was re-tested.
The dichotomised variables did not violate the proportional hazards
assumption. The results of the univariate analyses are shown in
Table 5. Of the 15 variables entered into the multivariate model,
exposure to awkward posture, time spend sitting, and number of
previous episodes were associated with recurrence of an episode of
LBP within 12 months. Participants who reported frequent exposure
to awkward posture had an 81% greater risk (HR 1.81, 95% CI 1.22 to
2.68) of having a recurrence than those who were rarely exposed to
awkward posture. However, there was no evidence that occasional
exposure to awkward posture increases the risk (HR 1.20, 95% CI 0.83
to 1.73) of having a recurrence. Participants who reported time spend
sitting .5 hours had 50% more risk (HR 1.50, 95% CI 1.08 to 2.09) of
having a recurrence than those who reported time spent sitting
between 0 and 5 hours. Compared with participants who reported
one or two previous episodes, participants who reported between
three and 10 previous episodes had 63% greater risk (HR 1.63, 95% CI
1.08 to 2.47), and those who reported more than ten previous
episodes had 94% greater risk (HR 1.94, 95% CI 1.28 to 2.94) of having
a recurrence. The results of the multivariate analyses are shown in
Table 6.
Discussion
The estimate of risk of recurrence of LBP in a representative
inception cohort from a primary care setting was much higher than
previously reported.
4,6,28
By 1 year, 69% of participants had a
recurrence of an episode of LBP, 40% of participants had a
recurrence of activity-limiting LBP, and 41% of participants had a
recurrence of LBP for which care was sought. It was also found that
exposure to awkward posture, a longer time spent sitting, and
more previous episodes of LBP were independent prognostic
factors associated with recurrence of an episode of LBP within 1
year.
This study overcomes many of the important limitations of
previous studies. It enrolled a large inception cohort of participants
who had recovered from a previous episode of LBP within the
previous month. Potential participants who still had low levels of
pain were followed until they were recovered, so they could be
enrolled soon after recovery. Monthly follow-ups were conducted
to avoid recall bias. This also allowed us to describe estimates of a
recurrence at different time points (eg, 3 or 6 months)
rather than just at 1 year. There was minimal loss to follow-up
Table 3
Baseline data of the study participants for the 15 candidate prognostic factors.
Candidate prognostic factor
Category
Participants
(n = 250)
Age (y), mean (SD) 50 (15)
Body mass index (kg/m
2
), mean (SD) 26.5 (5.3)
Smoking, n (%)
Never 166 (66)
Used to smoke but have quit 69 (28)
Current smoker 15 (6)
Exposure to heavy loads, n (%)
a
Rarely (rarely, very rarely or never) 100 (40)
Occasionally 84 (34)
Frequently (frequently or very frequently) 66 (26)
Exposure to awkward posture, n (%)
a
Rarely (rarely, very rarely or never) 110 (44)
Occasionally 74 (30)
Frequently (frequently or very frequently) 66 (26)
Physical activity, n (%)
Vigorous 124 (50)
Moderate 56 (22)
Low 70 (28)
Time sitting (hours), n (%)
a
0 to 5 111 (44)
.5 139 (56)
General health, n (%)
a
Excellent (excellent or very good) 128 (51)
Good 99 (40)
Poor (fair or poor) 23 (9)
Number of previous episodes of LBP, n (%)
a
1 to 2 70 (28)
3to10 93(37)
.10 87 (35)
Duration of last episode of LBP (weeks), n (%)
a
,2 weeks 146 (58)
2 to 6 weeks 51 (20)
.6 weeks 53 (21)
Perceived risk of recurrence of LBP (points), n (%)
a
0 to 5 125 (50)
.5 125 (50)
Depression, n (%)
a
Normal (normal or mild) 215 (86)
Moderate (moderate, severe or extremely severe) 35 (14)
Anxiety, n (%)
a
Normal (normal or mild) 206 (82)
Moderate (moderate, severe or extremely severe) 44 (18)
Stress, n (%)
a
Normal (normal or mild) 204 (82)
Moderate (moderate, severe or extremely severe) 46 (18)
Sleep quality, n (%)
a
Good (very good or fairly good) 175 (70)
Bad (fairly bad or very bad) 75 (30)
LBP = low back pain.
a
Coded as used in the analysis of multivariate model.
4da Silva et al: Risk of recurrence of low back pain
(completeness index of 96%). To investigate the cumulative
probability of a recurrence of LBP, we used a consensus denition
for recurrence of an episode of LBP
13
as the primary outcome;
however, because it is clear that recurrence estimates are affected
by the denition, two other denitions of recurrence were
investigated. Finally, a range of predictor variables for a
recurrence were chosen a priori and measured using previously
published
19,2225
and validated questionnaires.
26,27
This study also had some limitations. First, although we enrolled
consecutive participants, we acknowledge that some potentially
eligible participants might not have been informed about the study
by their clinicians, and others could not be contacted. This issue
could have precluded potentially eligible individuals from partici-
pating in the study. Also, self-reported measures were used to collect
information about all prognostic factors. Because the baseline
assessment was conducted over the telephone, some objective
measures (eg, strength) were not possible to measure and may have
predicted recurrence. We did not collect details of interventions that
participants received during the previous episode of LBP, which may
inuence the time to recurrence of future episodes. Finally, the es-
timates for recurrence were based upon a clinical sample and may
not apply to people who do not seek healthcare for an episode of LBP.
A systematic review, published in 2017, investigated the risk of and
prognostic factors for a recurrence of LBP in patients who had recovered
from a previous episode of LBP within the last year.
4
The systematic
review included eight studies; however, only one included study was
considered to have an adequately short inception period (,6 weeks).
6
Stanton et al reported a recurrence of an episode of LBP estimate of 24%
(95% CI 20 to 28) within 12 months, based on a 12-monthrecall period.
6
When recurrence was dened as recall of a recurrence at 12 months or
pain reported at the 3-month or 12-month follow-up (even if partici-
pants failed to report a recurrence at 12 months), the recurrence esti-
mate increased to 33% (95% CI 28 to 38).
6
That study
6
was a secondary
analysis of a cohort study
34
investigating prognosis in patients with
recent-onset LBP in Australian primary care, and was therefore not
primarily designed to investigaterisk of recurrence. Only two studies
5,6
included in the systematic review
4
presented data on prognostic
factors for a recurrence of LBP. A history of previous episodes of LBP
prior to the most recent episode was the only signicant predictor of
recurrence of LBP in both included studies. Hancock et al also found that
disc degeneration and high intensity zone (from magnetic resonance
imaging scans) were predictive of a recurrence of an episode of LBP.
5
Stanton et al
6
found, in a secondary analysis (without the variable
previous episodes of LBP in the model), that perceived risk of persistent
pain was a signicant predictor of recurrence of an episode of LBP at 12
months.
Machado et al reported an estimate of recurrence of an episode of
LBP of 33% based on 1-year recall and an estimate of recurrence of LBP
causing care-seeking of 18%.
28
That study
28
was a secondary analysis
of a case-crossover study
22
investigating triggers of an episode of
acute LBP. Using a 1-year recall period likely contributed to the lower
rates of recurrence compared with the current ndings.
The ndings of this study have important implications for
clinicians, patients and future research. The results demonstrate
that after recovery from an episode of LBP, about 70% of people
will experience another episode of LBP within 1 year; however,
many of these episodes appear to be relatively minor because
whentherecurrenceoccurred,only about 40% of participants
reported moderate activity limitation or that healthcare was
sought. These results are important for clinicians when providing
information to patients about the likely risk and nature of
recurrences of LBP. The results also demonstrate the need for
effective strategies to prevent a recurrence of LBP. A systematic
review investigating the effectiveness of interventions for
prevention of LBP found moderate-quality evidence that exercise
combined with education reduces the risk of an episode of LBP by
45% (95% CI 26 to 59).
35
This program may be particularly
Probability of an episode of LBP
Time to recurrence of LBP (days)
0 100 200 300 400
1
0.8
0.6
0.4
0
0.2
A
Probability of activity-limiting LBP
Time to recurrence of activity-limiting LBP (days)
0 100 200 300 400
1
0.8
0.6
0.4
0
0.2
B
Probability of LBP for which care is sought
Time to recurrence of LBP for which care was sought (days)
0 100 200 300 400
1
0.8
0
0.2
0.6
0.4
C
Figure 2. Kaplan-Meier survival curves based on uncorrected inception time of
recurrence of: (A) an episode of LBP; (B) activity-limiting LBP; and (C) LBP for which
care was sought (all n = 250).
LBP = low back pain.
Research 5
important in those patients who were identied to be at increased
risk. The prognostic factors we identied of exposure to awkward
postures and long periods of sitting provide potential targets for
the development of more effective prevention strategies,
which would need to be tested in future studies. However, our
study does not provide evidence of a causal relationship between
these variables and recurrences, or evidence on the potential
mechanisms that might produce a causal relationship. Further
research to understand the mechanisms producing recurrences of
LBP is important.
What was already known on this topic: Although most
people with low back pain recover quickly, recurrence of low
back pain is common. Most previous prognostic studies of
recurrence of low back pain have not enrolled participants at a
uniform time point after their previous episode of low back pain.
What this study adds: This study enrolled people who had
recovered from an episode of low back pain within the past
month, and followed them for 12 months. About 70% of people
in the study had a recurrence of low back pain during follow-up.
Prognostic factors for a recurrence include exposure to awkward
posture, longer time sitting, and more than two previous epi-
sodes of low back pain.
eAddenda: Table 4 can be found online at https://doi.org/10.1016/j.
jphys.2019.04.010.
Ethics approval: The Human Research Ethics Committee,
Macquarie University approved this study (#5201500494).
Table 5
Univariate analyses for a recurrence of an episode of LBP.
Candidate prognostic factor
Category
Recurrence (n/total n)
a
Hazard ratio 95% CI P
Age (y) N/A 1.00 0.99 to 1.01 0.38
Body mass index (kg/m
2
)N/A 1.01 0.98 to 1.04 0.65
Smoking history
Never smoked 118/166 Reference 0.57
Used to smoke but have quit 43/69 0.85 0.60 to 1.21 0.36
Current smoker 9/15 0.80 0.41 to 1.58 0.52
Exposure to heavy loads
Rarely (rarely, very rarely or never) 64/100 Reference 0.22
Occasionally 60/84 1.36 0.96 to 1.93 0.09
Frequently (frequently or very frequently) 46/66 1.26 0.86 to 1.84 0.23
Exposure to awkward posture
Rarely (rarely, very rarely or never) 70/110 Reference 0.07
Occasionally 52/74 1.23 0.86 to 1.77 0.25
Frequently (frequently or very frequently) 48/66 1.54 1.07 to 2.23 0.02
Physical activity
Vigorous 85/124 Reference 0.71
Moderate 35/56 0.90 0.61 to 1.33 0.59
Low 50/70 1.08 0.76 to 1.53 0.68
Time sitting (hours)
0to5 66/111 Reference ––
.5 104/139 1.39 1.02 to 1.90 0.04
General health
Excellent 83/128 Reference 0.19
Good 73/99 1.32 0.96 to 1.80 0.09
Poor 14/23 0.96 0.54 to 1.69 0.88
Number of previous episodes of LBP
1to2 36/70 Reference 0.002
3to10 67/93 1.67 1.11 to 2.50 0.01
.10 67/87 2.09 1.39 to 3.13 ,0.001
Duration of previous episode of LBP (weeks)
,2 98/146 Reference 0.22
2to6 39/51 1.33 0.92 to 1.93 0.13
.6 33/53 0.91 0.62 to 1.36 0.65
Perceived risk of recurrence of LBP (points)
0to5 77/125 Reference ––
.5 93/125 1.56 1.16 to 2.12 0.004
Depression
Normal (normal or mild) 144/215 Reference ––
Moderate (moderate, severe or extremely severe) 26/35 1.09 0.72 to 1.65 0.69
Anxiety
Normal (normal or mild) 140/206 Reference ––
Moderate (moderate, severe or extremely severe) 30/4 4 1.02 0.69 to 1.51 0.92
Stress
Normal (normal or mild) 136/204 Reference ––
Moderate (moderate, severe or extremely severe) 34/46 1.23 0.92 to 1.96 0.27
Sleep quality
Good (very good or fairly good) 115/175 Reference ––
Bad (fairly bad or very bad) 55/75 1.20 0.87 to 1.66 0.26
LBP = low back pain, N/A = not applicable.
a
Total = number of participants in category.
Table 6
Multivariate analysis for a recurrence of an episode of LBP.
Prognostic factor
Category
Hazard ratio 95% CI P
Exposure to awkward posture
Rarely (rarely, very rarely or never) Reference 0.01
Occasionally 1.20 0.83 to 1.73 0.34
Frequently (frequently or very frequently) 1.81 1.22 to 2.68 0.003
Time sitting (hours)
0 to 5 Reference ––
.5 1.50 1.08 to 2.09 0.02
Number of previous episodes of LBP
1 to 2 Reference 0.0 02
3 to 10 1.63 1.08 to 2.47 0.01
.10 1.94 1.28 to 2.94 ,0.0 01
LBP = low back pain.
6da Silva et al: Risk of recurrence of low back pain
All participants gave verbal informed consent before data collection
began.
Competing interests: Nil.
Sources of support: This work was supported by the Department
of Health Professions of Macquarie University. Tatiane da Silva has a
PhD scholarship from CAPES (Coordenação de Aperfeiçoamento de
Pessoal de Nível Superior), Ministry of Education of Brazil. Prof. Chris
Mahers fellowship is funded by Australias National Health and
Medical Research Council. Tarcisio de Campos has a PhD scholarship
from Macquarie University (Macquarie University Research Excel-
lence Scholarship - MQRES).
Acknowledgements: We thank all the participants, physiothera-
pists and chiropractors who participated in the study.
Provenance: Not invited. Peer reviewed.
Correspondence: Dr Tatiane da Silva, Department of Health Pro-
fessions, Macquarie University, Sydney, Australia. Email:
Tatiane.mota-da-silva@students.mq.edu.au
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Research 7
... 7 Over two-thirds of individuals who recover from LBP will experience a relapse within a year of their initial episode. 8 Additionally, those who have chronic LBP often develop an acute exacerbation of their persistent LBP. [8][9][10][11] Acknowledging the relative contributions of physical and psychosocial factors to LBP within the framework of the biopsychosocial model, helps to provide a more comprehensive understanding of pain development, persistence and recurrence. ...
... 8 Additionally, those who have chronic LBP often develop an acute exacerbation of their persistent LBP. [8][9][10][11] Acknowledging the relative contributions of physical and psychosocial factors to LBP within the framework of the biopsychosocial model, helps to provide a more comprehensive understanding of pain development, persistence and recurrence. 12 Physical factors, for instance, may serve as potential biomarkers that help differentiate individuals with LBP from asymptomatic populations 13 and may have relevance for acute exacerbation and repeated episodes of pain. ...
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Introduction Low back pain (LBP) is a global health concern. Approximately two-thirds of those who recover from LBP experience a relapse within a year, with many chronic cases encountering acute flare-ups (exacerbation). This systematic review will synthesise and analyse whether physical and/or psychological features can predict recurrent episodes of LBP or exacerbation of pain. Methods and analysis This systematic review protocol follows the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines. Comprehensive literature searches will be conducted in MEDLINE, EMBASE, APA PsycInfo, PubMed, CINAHL Plus, Web of Science, Scopus and ZETOC, spanning from each database’s inception through to January 2025. Google Scholar and grey literature sources, including OpenGrey, will also be searched to ensure comprehensive coverage. Two independent reviewers will screen titles, abstracts and full texts, assessing the risk of bias with a modified Quality in Prognosis Studies tool. The overall certainty of evidence will be evaluated using an adapted Grading of Recommendations Assessment, Development and Evaluation approach. If sufficient data homogeneity is present, a meta-analysis will be performed; otherwise, findings will be synthesised narratively. The results will identify the ability of physical and/or psychological factors to predict pain recurrence or acute exacerbation in case of persistent non-specific LBP. Ethics and dissemination This study protocol does not present any ethical concerns. The findings from the systematic review will be submitted for publication in a peer-reviewed journal and will also be presented at relevant conferences. PROSPERO registration number CRD42024599514.
... In this study, 87.5% of patients exhibited a reduction in pain on the Numeric Rating Scale (NRS) scale exceeding 30%, which is considered to be the minimal clinically important change (MCIC), starting from a median of 8 and ending at 6 months with a value of 2 points [22]. These encouraging results observed during the followup period with respect to pain, functionality and quality of life have prompted us to explore the long-term evolution of these patients, assuming that there is substantial evidence indicating that chronic back pain is a condition that typically persists throughout an individual's lifetime, with a high probability of recurrence [25,26]. Accordingly, the objective of the present study was to retrospectively examine the medical records of patients who had participated in our previous 6-month prospective study to ascertain whether the observed improvement at the 6-month follow-up was sustained over time. ...
... The responder rate in our study was 85.2%, as four of the 27 patients (14.8%) failed to achieve the minimum clinically significant difference in pain at the 24-month follow-up. This percentage is noteworthy in light of a review of the literature indicating that approximately 33-69% of individuals with back pain report a recurrence within 1 year after recovering from a previous episode [26,39]. In any case, back pain is a complex and multifactorial condition that requires a multidisciplinary approach to treatment with the initial focus being the elimination of factors that contribute to its development. ...
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Chronic back pain is a long-lasting disorder that is significantly associated with a reduction in the quality of life. Previously, the efficacy of intradiscal and epidural injections of plasma rich in growth factors (PRGF) was demonstrated at 6 months. The objective of this study was to retrospectively examine the medical records of these patients in order to determine whether the observed improvement at the 6-month follow-up was sustained over time. PRGF efficacy was evaluated using validated questionnaires: Core Outcome Measure Index (COMI) Pain score, COMI Disability score, COMI total score, and Oswestry Disability Index (ODI). Furthermore, an evaluation was conducted to determine whether the patients had undergone additional treatments. the results demonstrated that 85.2% of the 27 patients who were enrolled exhibited sustained improvement across all scales over a median follow-up period of 24 months. The results of all questionnaires administered at 24 months exhibited statistically significant differences when compared to the baseline data (p < 0.01). Furthermore, there were no statistically significant differences between the results reported at 6 months and those at 24 months (p > 0.05). the results of this retrospective study demonstrate that treatment of chronic back pain with PRGF was effective in maintaining pain reduction and improving function for at least 24 months after the end of treatment.
... The newest pain redefinition indicated the importance of the recurrent state for chronic pain. 20,21 Almost all available LBP cost analyses considered cLBP as a pain lasting three or more months, and little is known about the economic cost of recurrent LBP. 13 However, more than half of the LBP cases reported pain lasting over 12 months, occurring in multiple episodes. 7,22 Thus, the direct cost of medical services for recurrent LBP cases is important from an economic perspective. ...
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Background Spinal pain, one of the most common musculoskeletal disorders (MSDs), significantly impacts the quality of life due to chronic pain and disability. Physical activity has shown promise in managing spinal pain, although optimizing adherence to exercise remains a challenge. The digital development of artificial intelligence (AI)-driven applications offers a possibility for guiding and supporting patients with MSDs in their daily lives. Objective The trial aimed to investigate the effect of an 8-week AI-composed exercise program on pain intensity and well-being in patients with spinal pain. It also examined the relationship between exercise frequency, pain intensity, and well-being. In addition, app usage frequency was examined as a proxy for app engagement. Methods Data from users who met the inclusion criteria were collected retrospectively from the medicalmotion app between January 1, 2020, and June 30, 2023. The intervention involved the use of the medicalmotion app, which provides 3‐5 personalized exercises for each session based on individual user data. The primary outcomes assessed pain intensity and well-being using the numeric rating scale (NRS) and the Likert scale. Data were collected at baseline (t0), 4 weeks (t1), and 8 weeks (t2). The correlation between exercise frequency, pain intensity, and well-being was analyzed as a secondary outcome. In addition, average session length and frequency were measured to determine app engagement. Statistical analysis included ANOVA and Spearman correlation analysis. Results The study included 379 participants with a mean age of 50.96 (SD 12.22) years. At t2, there was a significant reduction of 1.78 points on the NRS ( P <.001). The score on the Likert scale for well-being improved by 3.11 points after 8 weeks. Pain intensity showed a negative correlation with the number of daily exercises performed at t1 and t2. Well-being had a small negative correlation with the average number of exercises performed per day. The average number of exercises performed per day was 3.58. The average session length was approximately 10 minutes, and the average interaction with the app was 49.2% (n=27.6 days) of the 56 available days. Conclusions Overall, the study demonstrates that an app-based intervention program can substantially reduce pain intensity and increase well-being in patients with spinal pain. This retrospective study showed that an app that digitizes multidisciplinary rehabilitation for the self-management of spinal pain significantly reduced user-reported pain intensity in a preselected population of app users.
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Background Recurrence is common in chronic low back pain (CLBP). However, predicting the recurrence risk remains a challenge. The aim is to develop and validate a machine learning tool to predict the recurrence risk in patients with CLBP by using multidimensional medical information. Methods This prospective cohort study consecutively enrolled 341 patients with CLBP from two hospitals between 1 January 2021 and 31 December 2021. Patients from both centres were used for model development and internal validation, employing multivariate logistic regression (MRL) along with three additional machine learning algorithms. The multidimensional model (MDM) was used to predict recurrence in the next 2 years and was compared with the widely used prognostic tool, the STarT BACK Tool (SBT). The models' performance in detecting recurrence was evaluated using several metrics, including the area under the receiver operating characteristic curve (AUC), decision curve analysis, accuracy, sensitivity and specificity. Results A total of 131 patients (38.42%) experienced recurrence. In the MRL model, factors linked to recurrence odds included progressive lower limb weakness, anxiety, mechanical pressure test, number of previous episodes, Oswestry disability index and multifidus proton density fat fraction. For recurrence prediction, the MRL‐MDM achieved an AUC of 0.813 (95% CI, 0.765–0.862), sensitivity of 85.2% and specificity of 70.2% in internal validation. In comparison, the SBT for recurrence had an AUC of 0.555 (95% CI, 0.518–0.592), sensitivity of 93.3% and specificity of 17.6%. Conclusion The MDM may predict recurrence in patients with CLBP over a 2‐year period, surpassing the performance of SBT. Significance Statement This study found that the STarT BACK tool is suboptimal in predicting the 2‐year recurrence of chronic low back pain (CLBP). Our proposed multidimensional machine learning model aids clinicians in identifying patients at high risk for future recurrence of CLBP and in implementing appropriate preventive measures. Given the considerable healthcare resource utilisation associated with the frequent recurrence of CLBP, our novel model provides significant assistance in addressing this issue, demonstrating substantial clinical relevance.
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Background: Although recurrence is common after an acute episode of low back pain, estimates of recurrence rates vary widely and predictors of recurrence remain largely unknown. Objective: The purposes of the study were to determine the 1-year incidence of recurrence in participants who recovered from an acute episode of low back pain and to identify predictors of recurrence. Design: The design was an inception cohort study nested in a case-crossover study. Methods: For 12 months, 832 of the 999 participants who initially presented to primary care within the first 7 days of an episode of low back pain were followed. Of these participants, 469 recovered (1 month pain free) from the index episode within 6 weeks and were included in this study. Recurrence was defined as a new episode lasting more than 1 day, or as an episode of care seeking. Putative predictors were assessed at baseline and chosen a priori. Multivariable regression analysis was used to calculate odds ratios (OR) and 95% confidence intervals (CI). Results: The 1-year incidence of recurrence of low back pain was 33%, and the 1-year incidence of recurrence of low back pain with care seeking was 18%. Participants reporting more than 2 previous episodes of low back pain had increased odds of future recurrences (OR = 3.18, CI = 2.11-4.78). This factor was also associated with recurrent episodes that led to care seeking (OR = 2.87, CI = 1.73-4.78). No other factors were associated with recurrences. Limitations: There are limitations inherent in reliance on recall. Conclusions: After an acute episode of low back pain, one-third of patients will experience a recurrent episode, and approximately half of those will seek care. Experiencing more than 2 previous episodes of low back pain triples the odds of a recurrence within 1 year.
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Study Design Systematic review. Background While most people with acute low back pain (LBP) recover quickly, recurrences are believed to be common. To our knowledge, no published high-quality systematic review has assessed the risk of recurrent LBP or the factors that would predict LBP recurrence. Objectives The aim of this study was to investigate the risk of, and prognostic factors for, a recurrence of LBP in patients who have recovered from a previous episode of LBP within the last year. Methods Systematic searches were conducted in the MEDLINE, Embase, and CINAHL databases. We included longitudinal studies of adults who had recovered from a previous episode of LBP within 12 months. The primary outcome was a new episode of LBP. Secondary outcomes were other types of recurrence (eg, episodes causing care seeking). Results Eight studies were included in the review: 7 observational studies and 1 randomized trial (2 publications). Six studies reported recurrence proportions for the primary outcome of an episode of LBP. Meta-analysis was not conducted due to the low quality and heterogeneity of studies. Only 1 study was considered an inception cohort study; it reported a 1-year recurrence proportion of 33%. A history of previous episodes of LBP prior to the most recent episode was the only factor that consistently predicted recurrence of LBP. Conclusion The available research does not provide robust estimates of the risk of LBP recurrence and provides little information about factors that predict recurrence in people recently recovered from an episode of LBP. Level of Evidence Prognosis, 1a–. Prospectively registered in PROSPERO on February 9, 2016 (CRD42016030220). J Orthop Sports Phys Ther 2017;47(5):305–313. Epub 29 Mar 2017. doi:10.2519/jospt.2017.7415
Article
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Background: There is substantial variability in the prognosis of acute low back pain (LBP). The ability to identify the probability of individual patients recovering by key time points would be valuable in making informed decisions about the amount and type of treatment to provide. Predicting recovery based on presentation 1-week after initially seeking care is clinically important and may be more accurate than predictions made at initial presentation. The aim of this study was to predict the probability of recovery at 1-week, 1-month and 3-months after 1-week review in patients who still have LBP 1-week after initially seeking care. Methods: The study sample comprised 1070 patients with acute LBP, with a pain score of ≥2 1-week after initially seeking care. The primary outcome measure was days to recovery from pain. Ten potential prognostic factors were considered for inclusion in a multivariable Cox regression model. Results: The final model included duration of current episode, number of previous episodes, depressive symptoms, intensity of pain at 1-week, and change in pain over the first week after seeking care. Depending on values of the predictor variables, the probability of recovery at 1-week, 1-month and 3-months after 1-week review ranged from 4% to 59%, 19% to 91% and 30% to 97%, respectively. The model had good discrimination (C = 0.758) and calibration. Conclusions: This study found that a model based on five easily collected variables could predict the probability of recovery at key time points in people who still have LBP 1-week after seeking care. Significance: A clinical prediction model based on five easily collected variables was able to predict the likelihood of recovery from an episode of acute LBP at three key time points. The model had good discrimination (C = 0.758) and calibration.
Article
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Introduction Low back pain (LBP) is the health condition that carries the greatest disability burden worldwide; however, there is only modest support for interventions to prevent LBP. The aim of this trial is to establish the effectiveness and cost-effectiveness of group-based exercise and educational classes compared with a minimal intervention control in preventing recurrence of LBP in people who have recently recovered from an episode of LBP. Methods and analysis TOPS will be a pragmatic comparative effectiveness randomised clinical trial with a parallel economic evaluation combining three separate cohorts (TOPS Workers, TOPS Primary Care, TOPS Defence) with the same methodology. 1482 participants who have recently recovered from LBP will be randomised to either a comprehensive exercise and education programme or a minimal intervention control. Participants will be followed up for a minimum of 1 year. The primary outcome will be days till recurrence of LBP. Effectiveness will be assessed using survival analysis. Cost-effectiveness will be assessed from the societal perspective. Ethics and dissemination This trial has been approved by the University of Sydney Human Research Ethics Committee (HREC) (ref: 2015/728) and prospectively registered with the Australian and New Zealand Clinical Trials Registry (ref: 12615000939594). We will also obtain ethics approval from the Australian Defence Force HREC. The results of this study will be submitted for publication in a prominent journal and widely publicised in the general media. Trial registration number Australian and New Zealand Clinical Trial Registry (ANZCTR) 12615000939594.
Article
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Importance Existing guidelines and systematic reviews lack clear recommendations for prevention of low back pain (LBP).Objective To investigate the effectiveness of interventions for prevention of LBP.Data Sources MEDLINE, EMBASE, Physiotherapy Evidence Database Scale, and Cochrane Central Register of Controlled Trials from inception to November 22, 2014.Study Selection Randomized clinical trials of prevention strategies for nonspecific LBP.Data Extraction and Synthesis Two independent reviewers extracted data and assessed the risk of bias. The Physiotherapy Evidence Database Scale was used to evaluate the risk-of-bias. The Grading of Recommendations Assessment, Development, and Evaluation system was used to describe the quality of evidence.Main Outcomes and Measures The primary outcome measure was an episode of LBP, and the secondary outcome measure was an episode of sick leave associated with LBP. We calculated relative risks (RRs) and 95% CIs using random-effects models.Results The literature search identified 6133 potentially eligible studies; of these, 23 published reports (on 21 different randomized clinical trials including 30 850 unique participants) met the inclusion criteria. With results presented as RRs (95% CIs), there was moderate-quality evidence that exercise combined with education reduces the risk of an episode of LBP (0.55 [0.41-0.74]) and low-quality evidence of no effect on sick leave (0.74 [0.44-1.26]). Low- to very low–quality evidence suggested that exercise alone may reduce the risk of both an LBP episode (0.65 [0.50-0.86]) and use of sick leave (0.22 [0.06-0.76]). For education alone, there was moderate- to very low–quality evidence of no effect on LBP (1.03 [0.83-1.27]) or sick leave (0.87 [0.47-1.60]). There was low- to very low–quality evidence that back belts do not reduce the risk of LBP episodes (1.01 [0.71-1.44]) or sick leave (0.87 [0.47-1.60]). There was low-quality evidence of no protective effect of shoe insoles on LBP (1.01 [0.74-1.40]).Conclusion and Relevance The current evidence suggests that exercise alone or in combination with education is effective for preventing LBP. Other interventions, including education alone, back belts, and shoe insoles, do not appear to prevent LBP. Whether education, training, or ergonomic adjustments prevent sick leave is uncertain because the quality of evidence is low.
Article
Low back pain is a very common symptom. It occurs in high-income, middle-income, and low-income countries and all age groups from children to the elderly population. Globally, years lived with disability caused by low back pain increased by 54% between 1990 and 2015, mainly because of population increase and ageing, with the biggest increase seen in low-income and middle-income countries. Low back pain is now the leading cause of disability worldwide. For nearly all people with low back pain, it is not possible to identify a specific nociceptive cause. Only a small proportion of people have a well understood pathological cause—eg, a vertebral fracture, malignancy, or infection. People with physically demanding jobs, physical and mental comorbidities, smokers, and obese individuals are at greatest risk of reporting low back pain. Disabling low back pain is over-represented among people with low socioeconomic status. Most people with new episodes of low back pain recover quickly; however, recurrence is common and in a small proportion of people, low back pain becomes persistent and disabling. Initial high pain intensity, psychological distress, and accompanying pain at multiple body sites increases the risk of persistent disabling low back pain. Increasing evidence shows that central pain-modulating mechanisms and pain cognitions have important roles in the development of persistent disabling low back pain. Cost, health-care use, and disability from low back pain vary substantially between countries and are influenced by local culture and social systems, as well as by beliefs about cause and effect. Disability and costs attributed to low back pain are projected to increase in coming decades, in particular in low-income and middle-income countries, where health and other systems are often fragile and not equipped to cope with this growing burden. Intensified research efforts and global initiatives are clearly needed to address the burden of low back pain as a public health problem.
Book
Printed book plus PageburstT access - you will receive a printed book and access to the complete book content electronically. PageburstT enhances learning by not only bringing world class content to your fingertips but also letting you add to it, annotate it, and categorize it all in a way that suits you. PageburstT frees you to spend more time learning and less time searching. Evidence-based practice has become a central part of physiotherapy today, but it is still an area which is constantly expanding and being updated. Written by an international team of experts, this second edition continues to outline the basic definitions of evidence-based practice and clinical reasoning, while detailing how to find and critically appraise evidence and clinical practice guidelines and the steps to follow in the implementation and evaluation of evidence. For those struggling to understand both the concepts and how to implement them, this book will prove to be an invaluable and practical guide. Considers how both quantitative and qualitative research can be used to answer clinical questions Written for readers with different levels of expertise Highlighted critical points and text box summaries (basic) Detailed explanations in text (intermediate) Footnotes (advanced) Presents detailed strategies for searching physiotherapy-relevant databases Extensive consideration of clinical practice guidelines Chapter asking the question: When and how should new therapies be introduced into clinical practice? Search strategies Evaluating quality of interventions Placebo effects Meta-regression.
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Non-specific low back pain affects people of all ages and is a leading contributor to disease burden worldwide. Management guidelines endorse triage to identify the rare cases of low back pain that are caused by medically serious pathology, and so require diagnostic work-up or specialist referral, or both. Because non-specific low back pain does not have a known pathoanatomical cause, treatment focuses on reducing pain and its consequences. Management consists of education and reassurance, analgesic medicines, non-pharmacological therapies, and timely review. The clinical course of low back pain is often favourable, thus many patients require little if any formal medical care. Two treatment strategies are currently used, a stepped approach beginning with more simple care that is progressed if the patient does not respond, and the use of simple risk prediction methods to individualise the amount and type of care provided. The overuse of imaging, opioids, and surgery remains a widespread problem.
Article
The clinical importance of lumbar pathology identified on MRI remains unclear. It is plausible that pathology seen on MRI is a risk factor for a recurrence of low back pain (LBP); however, to our knowledge this has not been investigated by previous studies. To investigate if lumbar pathology, identifiable on MRI, increases the risk of a recurrence of (LBP). Prospective inception cohort study with 1 year follow up. 76 people who had recovered from an episode of LBP within the previous 3 months. The primary outcome was time to recurrence of LBP which was determined by contacting participants at 2 month intervals for 12 months. All participants underwent a baseline assessment including MRI scan and completion of a questionnaire which assessed a range of potential risk factors for recurrence. MRI scans were reported for the presence of a range of MRI findings. The primary analysis investigated the predictive value of 2 clinical features (age and number of previous episodes) and 6 MRI findings (disc degeneration, high intensity zone, Modic changes, disc herniation, facet joint arthrosis and spondylolisthesis) in a multivariate Cox regression model. We decided a priori that dichotomous predictors with hazard ratios (HR) of > 1.5 or <0.67 would be considered potentially clinically important and justify further investigation. Of the 8 predictors entered into the primary multivariate model, 3 (disc degeneration, high intensity zone and number of previous episodes) met our a priori threshold for potential importance. Participants with disc degeneration score > 3 (Pfirrmann scale) had a hazard ratio (HR) of 1.89 (95% CI 0.42 to 8.53) compared to those without. Patients with high intensity zone had a HR of 1.84 (95% CI 0.94 to 3.59) compared to those without. For every additional previous episode participants had a HR of 1.04 (95% CI 1.02 to 1.07). We identified promising risk factors for a recurrence of LBP, which should be further investigated in larger trials. The findings suggest pathology seen on MRI plays a potentially important role in recurrence of LBP. Copyright © 2015 Elsevier Inc. All rights reserved.