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CLINICAL RESEARCH ARTICLE
Cardiovascular Safety During and After Use of
Phentermine and Topiramate
Mary E. Ritchey,
1
Abenah Harding,
1
Shannon Hunter,
1
Craig Peterson,
2
Philip T. Sager,
3
Peter R. Kowey,
4
Lan Nguyen,
2
Steven Thomas,
1
Miguel Cainzos-Achirica,
5
Kenneth J. Rothman,
6
Elizabeth B. Andrews,
1
and Mary S. Anthony
1
1
RTI Health Solutions, Research Triangle Park, North Carolina 27709-2194;
2
VIVUS, Inc., Campbell,
California 95008;
3
Stanford University School of Medicine, Stanford, California 94305;
4
Sidney Kimmel
Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania 19107;
5
RTI Health Solutions,
08028 Barcelona, Spain; and
6
RTI Health Solutions, Waltham, Massachusetts 02452-8413
ORCiD numbers: 0000-0003-0304-9304 (M. E. Ritchey).
Context: Increases in heart rate were seen during the clinical program for fixed-dose combination
phentermine (PHEN) and topiramate (TPM), an oral medication indicated for weight management;
however, the effect on cardiovascular (CV) outcomes is uncertain.
Objective: The aim of the present study was to determine the extent to which the rates of major
adverse CV events (MACE) in patients using PHEN and TPM (including fixed dose) differed from the
MACE rates during unexposed periods.
Design: Retrospective cohort study.
Setting: MarketScan, US insurance billing data.
Patients or Other Participants: Patients aged .18 years with $6 months of continuous enrollment in
the database before taking PHEN and/or TPM or after stopping these medications.
Interventions: PHEN and TPM, taken separately and together (including fixed dose).
Main Outcome Measures: MACE, a composite of hospitalization for acute myocardial infarction and
stroke and in-hospital CV death.
Results: Because the outcomes are rare and the duration of medication use was brief, few events
occurred. The MACE rates among current users of PHEN/TPM, fixed-dose PHEN/TPM, and PHEN were
lower than those among unexposed former users. In contrast, the rate of MACE among current
users of TPM was greater than among unexposed former users [incidence rate ratio: PHEN/TPM,
0.57; 95% CI, 0.19 to 1.78; fixed-PHEN/TPM, 0.24; 95% CI, 0.03 to 1.70; PHEN, 0.56; 95% CI, 0.34 to
0.91; TPM, 1.58; 95% CI, 1.33 to 1.87).
Conclusions: Overall, the data indicated no increased risk of MACE for current PHEN/TPM users;
however, the 95% CIs for the PHEN/TPM groups were broad, indicating that the data were compatible
with a wide range of possible values. (J Clin Endocrinol Metab 104: 513–522, 2019)
ISSN Print 0021-972X ISSN Online 1945-7197
Printed in USA
Copyright © 2019 Endocrine Society
This article has been published under the terms of the Creative Commons Attribution
License (CC BY; https://creativecommons.org/licenses/by/4.0/).
Received 8 May 2018. Accepted 18 September 2018.
First Published Online 21 September 2018
Abbreviations: AMI, acute myocardial infarction; CV, cardiovascular; FDA, Food and Drug
Administration; ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical
Modification; IRD, incidence rate difference; IRR, incidence rate ratio; MACE, major
adverse cardiovascular events; PHEN, phentermine; TPM, topiramate.
doi: 10.1210/jc.2018-01010 J Clin Endocrinol Metab, February 2019, 104(2):513–522 https://academic.oup.com/jcem 513
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Nearly 40% of adults in the United States are obese.
The prevalence is even greater among older adults
and has been increasing during the past 15 years (1).
Obese individuals have greater mortality rates than the
general population and an increased risk of overall,
cardiovascular (CV)-related, and diabetes-related mor-
tality (2). In recent years, several medications have re-
ceived US Food and Drug Administration (FDA) approval
as adjuncts to diet and lifestyle modifications for the
management of obesity. One such medication is a fixed-
dose combination of phentermine and extended-release
topiramate (Qsymia
®
, Vivus, Inc.). Phentermine (PHEN)
is a stimulant and is indicated for short-term use in weight
management. It acts as an appetite suppressant via the
central nervous system. Topiramate (TPM) is an anti-
convulsant indicated for use in the treatment of migraine
and epilepsy. One of the known effects of TPM is a de-
crease in appetite. Consequently, it is sometimes pre-
scribed off-label for weight loss (3). Typical dosing of
PHEN is 15 to 37.5 mg/d. The typical dosage of TPM is
100 mg/d for migraine or 50 to 400 mg/d for epilepsy. The
approved fixed-dose combination (fixed-PHEN/TPM)
contains PHEN doses from 3.75 to 15 mg and TPM
doses from 23 to 92 mg for daily administration.
The results from two randomized clinical trials and
one 2-year extension study showed a slight increase in the
average heart rate for those taking fixed-PHEN/TPM
(4–6). For those taking high-dose fixed-PHEN/TPM
(PHEN 15 mg/TPM 92 mg), average heart rate in-
creased from baseline by 1.2 to 1.7 beats per minute. In
these same trials, several traditional CV risk factors were
improved with fixed-PHEN/TPM treatment, specifically
decreased body weight and body mass index, lower
systolic and diastolic blood pressure, lower low-density
lipoprotein cholesterol and plasma triglyceride concen-
trations, and lower fasting blood glucose levels.
These studies provided limited information on the CV
safety of fixed-PHEN/TPM and its component medica-
tions as they are currently used within clinical practice.
Therefore, a randomized, prospective postmarketing
outcome study of major adverse CV events (MACE) was
requested by a regulatory agency. However, usage of
fixed-PHEN/TPM is low, and performance of a ran-
domized study of medications in a postmarket setting is
difficult, especially for CV event outcomes. With low
drug uptake and rare outcomes, a retrospective obser-
vational database study is an efficient method to generate
information on the safety of fixed-PHEN/TPM in usual
clinical practice in a much shorter time than would be
possible with a prospective study.
The aim of the present study was to evaluate the
risk of MACE during current use periods of PHEN,
TPM, PHEN/TPM (including the two drugs separately
and in a fixed-dose combination), and fixed-PHEN/TPM
(only the fixed-dose combination) vs unexposed periods
among former users of PHEN, TPM, or both PHEN and
TPM (Fig. 1).
Subjects and Methods
Study design and population
The present retrospective cohort study was conducted in the
Truven Health MarketScan Databases (Commercial and
Medicare Supplemental administrative claims). MarketScan
was chosen as the data source because it had the largest number
of fixed-PHEN/TPM users among the databases evaluated
during an earlier feasibility assessment. In addition, it has a
Figure 1. Schematic of cohorts with comparisons indicated.
514 Ritchey et al CV Safety With Phentermine and Topiramate J Clin Endocrinol Metab, February 2019, 104(2):513–522
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suitable breadth of information available about patients and the
ability to capture the medication exposures and CV outcomes
reliably. A prospective study with the number of patients available
in the present database would not be feasible because of the large
study size and long duration required for CV outcome studies.
The data span the period beginning 1 July 2012, the month
Qsymia was approved by the US FDA, through 30 September
2015. Patients were eligible for study entry if they were
aged $18 years and had been enrolled in MarketScan for
$6 months and met the criteria to be included as a current or
former user of PHEN, TPM, PHEN/TPM, and/or fixed-PHEN/
TPM (Fig. 2). Depending on their medication use, patients
could simultaneously contribute time to more than one of these
variously defined current-use medication cohorts. For example,
patients prescribed fixed-PHEN/TPM contributed to the
current-use fixed-PHEN/TPM, PHEN, TPM, and PHEN/TPM
medication cohorts simultaneously.
We used the periods corresponding to current use of med-
ications as the exposed time at risk. We compared the rates
during those periods with the rates among the unexposed pe-
riods among former users of the study medications. Because
these cohorts are dynamic, with patients moving in and out of
them, a given patient could contribute to both current use of
medication and, when no longer taking the medication, to the
unexposed time at risk. However, not all patients contributed to
both current-use and unexposed periods. The index date for
current-use periods was the date of the first prescription dis-
pensed after a $180-day period free of exposure (for the initial
entry into the cohort) or after a gap of .60 days (for subsequent
use). The index date for unexposed periods was the first day on
which eligibility criteria were met and .60 continuous days
without exposure to any of the study medications. Patients
could contribute time to multiple current-use periods and un-
exposed periods if they had started, stopped, or switched study
medications. Patients were excluded if they had undergone a
surgical procedure for weight loss or dispensing of fenfluramine
or dexfenfluramine before their first index date. In addition,
because TPM is indicated for seizures and epilepsy, we excluded
patients who had been dispensed TPM without PHEN if they
had a diagnosis for seizures or epilepsy within 30 days before
the initial TPM prescription, or if they had been prescribed daily
doses of .100 mg of TPM (doses associated with epilepsy).
The decision to compare outcomes during periods of current
exposure with those during unexposed periods among former
users of these same medications rather than with nonusers was
determined from two major considerations. First, because the
underlying condition of obesity or overweight status is often not
captured with the diagnosis codes in claims data, it is difficult to
match a nonuser cohort to current users of these drugs by
obesity status. Using nonexposed periods in former users as a
comparison achieves partial balance for obesity status. Second,
because the signal of potential concern with Qsymia is increased
heart rate—an effect that does not persist after the drug is
withdrawn—the potential for carryover effects beyond current
use was considered remote.
Key variables
The current-use periods of each medication began on the
index date of the dispensing of that medication and continued
until 7 days after the end of the last days’supply of the last
dispensing (i.e., 37 days after the last prescription fill). Un-
exposed periods began 60 days after the end of the days’supply
of the last medication dispensing and continued until a new
study medication was dispensed or the end of patient follow-up.
Outcomes were defined by the hospital admission and
principal diagnosis codes using International Classification of
Diseases, Ninth Revision, Clinical Modification (ICD-9-CM).
Acute myocardial infarction (AMI) was defined using ICD-9-
CM codes 410.x0 and 410.x1, and stroke was defined using
ICD-9-CM codes 430, 431, 433.x1, 434 (excluding 434.x0),
and 436 (7). These codes have been validated in claims data-
bases with positive predictive values ranging from 76% to 94%
(7, 8). In-hospital CV-related death was identified using the
discharge status “died”and either a principal discharge di-
agnosis of AMI, stroke, heart failure, coronary heart disease, or
cerebrovascular disease or a procedure code during the hospi-
talization indicating CV revascularization. The composite endpoint
Figure 2. Schematic of risk periods.
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of hospitalization for AMI or stroke and in-hospital CV-related
death was MACE. Out-of-hospital death was not available from the
data source and was thus not included in the present study.
Covariates were assessed across all available look-back time,
which was $180 days before each index date (9). Covariates
included age at index date, sex, and hospitalization for CV
disease, length of hospitalization, duration of look-back time,
comorbidities defined by diagnoses, and history of medication
use. Comorbidity diagnoses were assessed via ICD-9-CM codes
and included obesity, previous AMI, previous stroke, transient
ischemic attack, hypertension, heart failure, unstable angina,
peripheral vascular disease, coronary heart disease, cerebro-
vascular disease, hyperlipidemia, prediabetes, diabetes mellitus,
chronic kidney disease, migraine, and sleep apnea. Medication
history was defined using National Drug Codes and the fol-
lowing medications were included as covariates: antihyper-
tensive agents, lipid-modifying agents, anticoagulants, other
CV drugs (e.g., vasodilating agents), insulin, other antidiabetic
drugs, antiobesity drugs other than the ones included in the
study, epilepsy drugs (other than TPM), migraine drugs (other
than TPM), and/or prescription aspirin. In addition, the cal-
endar year and month of the index date were collected.
Statistical analysis
Descriptive statistics for demographic variables and relevant
covariates were obtained for each current-use medication co-
hort (PHEN/TPM, fixed-PHEN/TPM, PHEN, and TPM) and
for the unexposed former-user cohort.
The crude incidence rates, crude and adjusted incidence rate
ratios (IRRs), and crude and adjusted incidence rate differences
(IRDs) for each study outcome were calculated separately for
current-use periods of each medication and for the unexposed
periods.
Propensity score methods were used to control for confounding.
Three separate propensity score models were developed for com-
parison of current use of each of the four medication/combinations
[PHEN/TPM (including fixed-PHEN/TPM), PHEN, and TPM] vs
unexposed former users. Propensity score models were created by
assessing the effects of each potential covariate on the composite
MACE outcome. The balance of covariates between current users
and the unexposed was assessed using standardized differences.
Subjects with extreme propensity scores ,2.5th or .97.5th per-
centile were trimmed before stratification into deciles based on the
distribution of current users. Stratum-specific IRRs and IRDs were
calculated and summary IRR and IRD were calculated using the
Mantel-Haenszel approach outlined in Rothman et al. (10).
We conducted sensitivity and bias analyses to determine
whether the choices made for variable definitions and the com-
parator group were affecting the results. Sensitivity analyses were
conducted for cohorts in which $10 MACE outcomes had oc-
curred during the current-use periods. Analyses included assessing
the effect of potential unmeasured confounders (e.g., smoking) via
proxy variables (e.g., diagnosis of chronic obstructive pulmonary
disease), assessing an alternative outcome of MACE that includes
hospitalization for heart failure, limiting the length of the current-
use periods and unexposed periods to a maximum of 6 months,
requiring 180 days between prescriptions to initiate a subsequent
current-use period, assuming that only a proportion of CV-related
deaths (e.g., 30%) was captured during hospitalizations (in
contrast to deaths occurring outside the hospital) for current user
cohorts. In addition, current users vs the unexposed were assessed
in mutually exclusive medication cohorts (e.g., comparing current-
use periods of PHEN/TPM to unexposed periods among former
users of PHEN/TPM).
Results
Patient demographics
Patients included and excluded from the present study
are shown in Fig. 3. The characteristics for each patient at
the first entry into each current-use medication cohort and
into the unexposed cohort are listed in Table 1. More than
500,000 patients were included in the present study; 14,586
contributed time at risk to the fixed-PHEN/TPM cohort
and an additional 4598 to the cohort of PHEN/TPM as
individual medications. A single patient could be included
in multiple cohorts, corresponding to multiple columns in
Table 1. On average, patients contributed 1.6 current-use
periods within a single medication cohort and 2.6 un-
exposed periods. There were 16,365 current-use periods,
averaging 1.9 months among patients taking fixed-PHEN/
TPM; 21,405 current-use periods, averaging 1.9 months
among patients taking PHEN/TPM; 165,737 current-use
periods, averaging 1.7 months for PHEN; 373,753 current-
use periods, averaging 2.1 months for TPM; and 472,630
unexposed periods, averaging 7.9 months.
For the unexposed comparator group, 73.8% had
previously used TPM, 26.3% had previously used PHEN,
and only 2.4% had previously used fixed-PHEN/TPM.
Current users of any of the medications were less likely
than the unexposed to have epilepsy. The prevalence of
comorbidities and other medication use among the un-
exposed cohort was most similar to that among current
TPM users. Both the unexposed cohort and current users
of TPM had a greater baseline history of stroke, transient
ischemic attack, migraine, and epilepsy compared with the
current users of PHEN/TPM or PHEN.
Most patients initiating PHEN/TPM (76%) were fixed-
PHEN/TPM users. Compared with the unexposed cohort,
patients initiating PHEN/TPM were older and more likely to
have a recorded history of obesity. In addition, patients
initiating PHEN/TPM were more likely than the unexposed
cohort to have hypertension, hyperlipidemia, diabetes, and
sleep apnea.
Unadjusted incidence rates
The number of events, person-time of follow-up, un-
adjusted incidence rates, and 95% confidence intervals
(CIs) for MACE and its components (hospitalization for
AMI or stroke and in-hospital CV-related death) are listed
in Table 2. The unadjusted incidence rate of MACE among
current users of PHEN/TPM and fixed-PHEN/TPM was
lower than the rate of MACE among the unexposed co-
hort. However, the number of events was small, producing
considerable statistical variability (as evidenced by wide
516 Ritchey et al CV Safety With Phentermine and Topiramate J Clin Endocrinol Metab, February 2019, 104(2):513–522
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95% CIs). The current use of PHEN was associated with
lower rates of MACE compared with the unexposed cohort.
The current use of TPM was associated with greater rates of
MACE compared with that in the unexposed cohort.
The incidence rates of MACE were greater among
both current users of TPM and the unexposed cohort
relative to other current-use cohorts. The rates of AMI
and stroke were greater than the rates for in-hospital CV
death in all current-use and unexposed periods. The
average length of the current-use periods for all medi-
cations ranged from 2.1 to 2.5 months.
Results from adjusted analyses of MACE and
individual components
Propensity score adjustment created a reasonable
balance between the current-use periods and unexposed
Figure 3. Flow diagram of selection into study cohorts.
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periods for all variables included in the propensity score
models. The number of events and person-years of
follow-up after propensity score stratification and trim-
ming and the adjusted IRRs, IRDs, and 95% CIs for all
outcomes are listed in Table 3. After propensity score
adjustment, the rates of MACE among current users of
PHEN/TPM, fixed-PHEN/TPM, and PHEN remained
lower than those among the unexposed cohort, and the
rate of MACE among current users of TPM remained
greater than that among the unexposed cohort. Com-
pared with the crude IRRs and IRDs, the propensity
score-adjusted measures were closer to the null (IRR:
PHEN/TPM, 0.57; 95% CI, 0.19 to 1.78; fixed-PHEN/
TPM, 0.24; 95% CI, 0.03-1.70; PHEN, 0.56; 95% CI,
0.34 to 0.91; TPM, 1.58; 95% CI, 1.33 to 1.87). No
substantial differences were found in the IRR and IRD
between the unadjusted and adjusted results, indicating
that the net amount of confounding was modest.
Just as with the crude results, the rates of AMI and
stroke during the current-use periods of PHEN/TPM and
fixed-PHEN/TPM were lower than those during the
unexposed periods. The current users of PHEN had
lower rates of AMI (IRR, 0.51; 95% CI, 0.0.26 to 1.00)
and stroke (IRR, 0.58; 95% CI, 0.27 to 1.24) compared
with the unexposed cohort. In contrast, the rate of CV
death was similar for current users and the unexposed
cohort (IRR, 1.03; 95% CI, 0.12 to 8.67). The current
users of TPM had greater rates of stroke (IRR, 2.81; 95%
Table 1. Baseline Patient Demographics, Medical Comorbidities, and Medications
Characteristic
Current-Use Periods
Unexposed
(n = 386,136)
PHEN/TPM
(n = 19,184)
Fixed-PHEN/TPM
(n = 14,586)
PHEN
(n = 124,334)
TPM
(n = 316,388)
Age, y 46.5 610.94 47.3 610.81 43.8 611.22 43.2 613.32 43.7 613.00
Age categories, n (%)
18–37 y 4161 (21.7) 2868 (19.7) 37,691 (30.3) 109,988 (34.8) 127,586 (33.0)
38–49 y 7093 (37.0) 5270 (36.1) 46,482 (37.4) 102,348 (32.3) 127,824 (33.1)
$50 y 7930 (41.3) 6448 (44.2) 40,161 (32.3) 104,052 (32.9) 130,726 (33.9)
Sex, n (%)
Male 3747 (19.5) 2964 (20.3) 21,358 (17.2) 55,765 (17.6) 66,541 (17.2)
Female 15,437 (80.5) 11,622 (79.7) 102,976 (82.8) 260,623 (82.4) 319,595 (82.8)
Medical history and
comorbid conditions, n (%)
Obesity 10,066 (52.5) 8147 (55.9) 45,339 (36.5) 72,451 (22.9) 104,657 (27.1)
AMI 54 (0.3) 45 (0.3) 267 (0.2) 1831 (0.6) 1983 (0.5)
Stroke 141 (0.7) 111 (0.8) 688 (0.6) 8595 (2.7) 9378 (2.4)
Transient ischemic attack 150 (0.8) 116 (0.8) 745 (0.6) 7575 (2.4) 8278 (2.1)
Hypertension 8529 (44.5) 6832 (46.8) 41,659 (33.5) 107,386 (33.9) 130,473 (33.8)
Heart failure 213 (1.1) 176 (1.2) 950 (0.8) 5626 (1.8) 6309 (1.6)
Unstable angina 152 (0.8) 124 (0.9) 663 (0.5) 3473 (1.1) 3803 (1.0)
Peripheral vascular disease 551 (2.9) 456 (3.1) 2037 (1.6) 8528 (2.7) 9940 (2.6)
Coronary heart disease 997 (5.2) 839 (5.8) 4170 (3.4) 18,672 (5.9) 21,440 (5.6)
Cerebrovascular disease 733 (3.8) 583 (4.0) 3201 (2.6) 24,681 (7.8) 28,070 (7.3)
Hyperlipidemia 8927 (46.5) 7197 (49.3) 43,124 (34.7) 107,087 (33.8) 132,853 (34.4)
Prediabetes 1703 (8.9) 1430 (9.8) 6936 (5.6) 17,031 (5.4) 20,439 (5.3)
Diabetes 3974 (20.7) 3315 (22.7) 15,741 (12.7) 39,957 (12.6) 48,405 (12.5)
Chronic kidney disease 340 (1.8) 284 (1.9) 1299 (1.0) 6167 (1.9) 7890 (2.0)
Sleep apnea 3205 (16.7) 2652 (18.2) 12,733 (10.2) 36,389 (11.5) 44,237 (11.5)
Migraine 1914 (10.0) 1261 (8.6) 11,165 (9.0) 124,960 (39.5) 159,307 (41.3)
Epilepsy 99 (0.5) 71 (0.5) 636 (0.5) 6035 (1.9) 14,704 (3.8)
Medication history, n (%)
Antihypertensive agents 9283 (48.4) 7340 (50.3) 46,755 (37.6) 133,538 (42.2) 163,447 (42.3)
Lipid-modifying agents 5499 (28.7) 4516 (31.0) 24,185 (19.5) 67,373 (21.3) 82,201 (21.3)
Anticoagulant agents 808 (4.2) 681 (4.7) 3528 (2.8) 15,433 (4.9) 17,996 (4.7)
Other CV system drugs 2 (0.0) 2 (0.0) 7 (0.0) 62 (0.0) 68 (0.0)
Insulin 945 (4.9) 833 (5.7) 2968 (2.4) 8712 (2.8) 9835 (2.5)
Other antidiabetic drugs 4319 (22.5) 3541 (24.3) 16,883 (13.6) 36,417 (11.5) 45,103 (11.7)
Other antiobesity drugs 2851 (14.9) 2293 (15.7) 13,989 (11.3) 40,640 (12.8) 39,867 (10.3)
Aspirin 79 (0.4) 68 (0.5) 315 (0.3) 1210 (0.4) 1465 (0.4)
Migraine drugs 1645 (8.6) 1185 (8.1) 9233 (7.4) 93,252 (29.5) 116,409 (30.1)
Epilepsy drugs 2663 (13.9) 2032 (13.9) 14,917 (12.0) 84,545 (26.7) 100,743 (26.1)
TPM 2010 (10.5) 672 (4.6) 7789 (6.3) 56,643 (17.9) 284,999 (73.8)
PHEN 3400 (17.7) 1521 (10.4) 33,773 (27.2) 10,841 (3.4) 101,712 (26.3)
Qsymia 347 (1.8) 331 (2.3) 397 (0.3) 334 (0.1) 9434 (2.4)
Data presented as mean 6SD or n (%).
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CI, 2.26 to 3.50) and lower rates of AMI (IRR, 0.79;
95% CI, 0.59 to 1.07) and CV death (IRR, 0.35; 95% CI,
0.08 to 1.45) compared with the unexposed cohort.
Event numbers, especially for CV death, were small, and
the 95% CIs around the effect measures for components
of MACE were wide for all medication cohorts.
Sensitivity and bias analyses
We conducted several sensitivity and bias analyses
among the PHEN cohort and TPM cohort, both of which
had .10 MACE outcomes during the current-use pe-
riods. These sensitivity analyses varied with the time after
last drug dispensing to the end of the exposure period,
extended the required time period without the drug be-
fore initiating subsequent use, limited the current-use
period to only the first 6 months of medication use,
and assessed the effect of assessing only in-hospital death.
The results were qualitatively similar to the primary
results for each of these analyses.
Sensitivity analyses also were conducted with mutu-
ally exclusive, current-use medication cohorts, and un-
exposed periods among former users of PHEN, TPM,
and PHEN/TPM. The results of these analyses were
directionally similar to the results listed in Table 3, but in
all cases were closer to the null (Table 4). For example,
the IRR for the primary results for current users of
Table 2. Crude Incidence Rates Per 1000 Person-Years and 95% CIs for MACE and Components of
This Outcome
Variable
Current Use Periods
Unexposed
(n = 386,136)
PHEN/TPM
(n = 19,184)
Fixed-PHEN/TPM
(n = 14,586)
PHEN
(n = 124,334)
TPM
(n = 316,388)
Person-years 3245 2587 24,107 64,607 310,665
MACE
Events, n 3 1 22 218 622
Events/1000 person-years 0.92 (0.19–2.70) 0.39 (0.01–2.15) 0.91 (0.57–1.38) 3.37 (2.94–3.85) 2.00 (1.85–2.17)
AMI
Events, n 1 0 11 62 335
Events/1000 person-years 0.31 (0.01–1.72) 0.00 (0.00–1.43) 0.46 (0.23–0.82) 0.96 (0.74–1.23) 1.08 (0.97–1.20)
Stroke
Events, n 2 1 10 154 258
Events/1000 person-years 0.62 (0.07–2.23) 0.39 (0.01–2.15) 0.41 (0.20–0.76) 2.38 (2.02–2.79) 0.83 (0.73–0.94)
CV-related death
Events, n 0 0 1 2 29
Events/1000 person-years 0.00 (0.00–1.14) 0.00 (0.00–1.43) 0.04 (0.00–0.23) 0.03 (0.00–0.11) 0.09 (0.06–0.13)
Data in parentheses are 95% CIs.
Table 3. Adjusted IRRs and IRDs for MACE and Components of This Outcome
Variable
PHEN/TPM Fixed-PHEN/TPM PHEN TPM
Current
Use
Unexposed
(Reference)
Current
Use
Unexposed
(Reference)
Current
Use
Unexposed
(Reference)
Current
Use
Unexposed
(Reference)
Person-years 2820 232,470 2207 217,665 22,218 251,807 60,889 291,147
MACE
Events, n 3 424 1 395 17 423 186 539
IRR (95% CI) 0.57 (0.19 to 1.78) 0.24 (0.03 to 1.70) 0.56 (0.34 to 0.91) 1.58 (1.33 to 1.87)
IRD (95% CI) 20.79 (22.03 to 0.44) 21.43 (22.37 to 20.50) 20.62(21.02 to 20.22) 1.11 (0.64 to 1.57)
AMI
Events, n 1 240 0 225 9 241 51 296
IRR (95% CI) 0.35 (0.05 to 2.52) 0.00 (0.00 to NC) 0.51 (0.26 to 1.00) 0.79 (0.59 to 1.07)
IRD (95% CI) 20.66 (21.37 to 0.06) 21.02 (21.20 to 20.85) 20.39 (20.68 to 20.10) 20.22 (20.48 to 0.04)
Stroke
Events, n 2 167 1 154 7 167 133 217
IRR (95% CI) 0.89 (0.22 to 3.53) 0.55 (0.08 to 3.85) 0.58 (0.27 to 1.24) 2.81 (2.26 to 3.50)
IRD (95% CI) 20.09 (21.10 to 0.92) 20.37 (21.29 to 0.54) 20.23 (20.49 to 0.03) 1.38 (1.01 to 1.76)
CV-related death
Events, n 0 17 0 16 1 15 2 26
IRR (95% CI) 0.00 (0.00 to NC) 0.00 (0.00 to NC) 1.03 (0.12 to 8.67) 0.35 (0.08 to 1.45)
IRD (95% CI) 20.04 (20.07 to 20.02) 20.04 (20.06 to 20.02) 0.00 (20.09 to 0.09) 20.06 (20.12 to 0.00)
Data are adjusted for propensity score decile after trimming.
Abbreviation: NC, not calculated.
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PHEN/TPM vs unexposed former users of any medica-
tion was 0.57 (95% CI, 0.19 to 1.78), and the IRR for the
mutually exclusive current-use vs unexposed PHEN/
TPM comparison was 0.93 (95% CI, 0.20 to 4.32).
The number of events was smaller for each of these
analyses than those in the primary results, leading to
wider 95% CIs.
Discussion
The rationale for including the unexposed periods among
former users rather than nonusers as the referent group
was that the CV risk is expected to be greater in an obese
population than in a nonobese population. However, it
was not practical to identify an untreated obese population
in an administrative claims database because of incon-
sistent coding of this condition. By restricting the com-
parison rates to periods after the use of PHEN, TPM, or
PHEN/TPM, we identified a population that was not
currently exposed to the medications of interest (PHEN,
TPM) but was expected to have similar CV risk to the
obese population currently using these medications. Al-
though the study did not use self-matching of different
periods, many subjects contributed to both the treated and
the untreated cohorts, achieving partial self-matching with
its control of factors that remain constant over time in an
individual.
We controlled for confounding from the differences
that remained between the treatment and comparator
groups using propensity score modeling and stratifica-
tion. Sensitivity analyses provided further insight into the
robustness of the results to the decisions made during the
design of the study. The results were similar for PHEN
and TPM when the MACE outcome was modified to
include heart failure, when assuming that only a portion
of deaths were captured during current-use periods,
when assessing only the first 6 months of each current-use
or unexposed period, and when assessing other potential
confounders (e.g., proxy for smoking). The results from
sensitivity analyses were generally closer to the null, and,
because of the more restricted follow-up time, the 95%
CIs were wider. In these analyses, the crude results
were not appreciably different from the adjusted re-
sults, suggesting little confounding. Comparisons of
mutually exclusive current-use periods vs unexposed
periods among each medication cohort led to few events
for PHEN/TPM (,10 MACE events total) and wide
95% CIs.
The present study included a large number of patients
treated for several years within a US claims data source
representative of the patient experience with PHEN/TPM
in the United States. The FDA has acknowledged that
observational studies using databases are an effective
method to generate information on the safety of medi-
cations as used in usual clinical practice within a much
shorter time than would be possible with a prospective
study (11). The present study was also prespecified via
protocol and conducted in accordance with both regu-
latory and international society guidelines for observa-
tional database studies (12–15). It included outcome
measures previously validated within claims data. In an
era in which regulators are calling for increased use of
real-world evidence for regulatory decision-making, the
present database analysis has provided timely data on a
large number of patients in a manner that is actionable
(e.g., can rule out doubling of MACE outcomes among
users of PHEN/TPM). Furthermore, the insights gained
from the present study were obtained within several
months, rather than over several years.
The reason for the greater risk of stroke among current
TPM users compared with former TPM users is not
obvious. It might be a real difference, a chance finding, or
an unidentified bias. The incidence rates of MACE,
driven by the rates of stroke, were greater for both
current users of TPM and the unexposed after the use of
TPM compared with other medications. The exclusion
criteria specific to TPM imply that these patients do not
constitute all patients prescribed TPM. Furthermore, the
Table 4. Sensitivity Analysis: Event Counts, Person-Time, Propensity Score–Adjusted Incidence Rate Ratio,
and Incidence Rate Difference for MACE Comparing Current Use and Unexposed Former Users of Each
(Mutually Exclusive) Medication
Cohort Events, n Person-Years IRR (95% CI) IRD (95% CI)
PHEN/TPM
Current use 2 2901.9 0.93 (0.20 to 4.32) 20.06 (21.19 to 1.08)
Unexposed 7 9146.1 Reference Reference
PHEN
Current use 17 18,636.2 0.78 (0.46 to 1.30) 20.27(20.77 to 0.23)
Unexposed 93 77,797.2 Reference Reference
TPM
Current use 188 55,714.3 1.49 (1.26 to 1.77) 1.11 (0.58 to 1.63)
Unexposed 457 201,561.8 Reference Reference
Each current-use group was compared with former users of the same medication.
520 Ritchey et al CV Safety With Phentermine and Topiramate J Clin Endocrinol Metab, February 2019, 104(2):513–522
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exclusion criteria specific to TPM were designed to remove
patients with epilepsy from the study, because they have
an increased risk of stroke. However, more patients with a
history of antiepileptic drug use were present in the TPM
cohort than in the PHEN cohort (27% vs 12%) (16).
Perhaps the subset of TPM users included were at an
increased risk of this outcome in a way that was in-
adequately measured in the present study (e.g., they might
have had increased systolic blood pressure and were thus
prescribed TPM because of its known effect of decreasing
systolic blood pressure and/or the attempt to control for an
epilepsy diagnosis and medication use was insufficient)
(17, 18).
Data for some of the potential confounders of interest
(e.g., smoking, heart rate, race/ethnicity) were not available
from the administrative claims database. The bias analysis
demonstrated, however, that any unmeasured confounder
would have had to be strongly unbalanced between the
cohorts to have had a meaningful confounding effect.
Although the fixed-dose combination of PHEN/TPM
has been approved for chronic, long-term use, the av-
erage duration of use for current users was only
2.1 months. This figure was comparable with the aver-
age duration of use of PHEN (2.3 months) and TPM
(2.5 months). These durations of use were shorter than
those in the premarket clinical trials but presumably
reflect actual clinical patterns of use and might further
decrease any concerns about the risk of CV outcomes.
Conclusion
The present analysis of PHEN used concurrently with
TPM, either separately or in fixed-dose combination,
provides some reassurance about the absence of large
risks of CV outcomes caused by these agents as used in
clinical practice. We found a trend for a lower rate
of MACE and other CV outcomes among those with
current exposure to PHEN/TPM (including the fixed-
dose combination) than among the unexposed cohort.
However, considerable statistical uncertainty remains,
stemming from the small number of events, yielding 95%
CIs that ranged from strong negative associations to
small positive associations, with an upper 95% confi-
dence limit below a doubling of the rate for the composite
MACE outcome, during the relatively short time patients
were taking the medication.
Acknowledgments
Financial Support: The present study was conducted by RTI
Health Solutions, with funding from VIVUS, Inc.
Correspondence and Reprint Requests: Mary E. Ritchey,
PhD, RTI Health Solutions, 200 Park Offices Drive, P.O. Box
12194, Research Triangle Park, North Carolina 27709-2194.
E-mail: mritchey@rti.org.
Disclosure Summary: M.E.R., A.H., S.H., S.T., M.C-A.,
K.J.R., E.B.A., and M.S.A. are employees of RTI-HS, which
received funding from VIVUS, Inc. to conduct the present study.
The contract between RTI-HS and the sponsor, VIVUS, includes
independent publication rights. RTI is a nonprofit organization
that conducts work for government, public, and private orga-
nizations, including pharmaceutical companies. P.T.S. and
P.R.K. are ad hoc consultants for VIVUS, Inc. L.N. and C.P. are
employees and shareholders of VIVUS, Inc.
References
1. Hales CM, Carroll MD, Fryar CD, Ogden CL. Prevalence of
obesity among adults and youth: United States, 2015-2016.
Centers for Disease Control and Prevention; October 2017.
Available at: https://www.cdc.gov/nchs/data/databriefs/db288.pdf.
Accessed 10 July 2018.
2. Whitlock G, Lewington S, Sherliker P, Clarke R, Emberson J,
Halsey J, Qizilbash N, Collins R, Peto R; Prospective Studies
Collaboration. Body-mass index and cause-specific mortality in
900 000 adults: collaborative analyses of 57 prospective studies.
Lancet. 2009;373(9669):1083–1096.
3. Hendricks EJ. Off-label drugs for weight management. Diabetes
Metab Syndr Obes. 2017;10:223–234.
4. Allison DB, Gadde KM, Garvey WT, Peterson CA, Schwiers ML,
Najarian T, Tam PY, Troupin B, Day WW. Controlled-release
phentermine/topiramate in severely obese adults: a randomized con-
trolled trial (EQUIP). Obesity (Silver Spring). 2012;20(2):330–342.
5. Gadde KM, Allison DB, Ryan DH, Peterson CA, Troupin B,
Schwiers ML, Day WW. Effects of low-dose, controlled-release,
phentermine plus topiramate combination on weight and associ-
ated comorbidities in overweight and obese adults (CONQUER):
a randomised, placebo-controlled, phase 3 trial. Lancet. 2011;
377(9774):1341–1352.
6. Garvey WT, Ryan DH, Look M, Gadde KM, Allison DB, Peterson
CA, Schwiers M, Day WW, Bowden CH. Two-year sustained
weight loss and metabolic benefits with controlled-release phentermine/
topiramate in obese and overweight adults (SEQUEL): a randomized,
placebo-controlled, phase 3 extension study. Am J Clin Nutr. 2012;
95(2):297–308.
7. Roumie CL, Mitchel E, Gideon PS, Varas-Lorenzo C, Castellsague
J, Griffin MR. Validation of ICD-9 codes with a high positive
predictive value for incident strokes resulting in hospitalization
using Medicaid health data. Pharmacoepidemiol Drug Saf. 2008;
17(1):20–26.
8. Cutrona SL, Toh S, Iyer A, Foy S, Daniel GW, Nair VP, Ng D,
Butler MG, Boudreau D, Forrow S, Goldberg R, Gore J, McManus
D, Racoosin JA, Gurwitz JH. Validation of acute myocardial in-
farction in the Food and Drug Administration’s Mini-Sentinel
program. Pharmacoepidemiol Drug Saf. 2013;22(1):40–54.
9. Brunelli SM, Gagne JJ, Huybrechts KF, Wang SV, Patrick AR,
Rothman KJ, Seeger JD. Estimation using all available covariate
information versus a fixed look-back window for dichotomous
covariates. Pharmacoepidemiol Drug Saf. 2013;22(5):542–550.
10. Rothman KJ, Greenland S, Lash TL, eds. Modern epidemiology,
3rd ed. Philadelphia: Lippincott Williams & Wilkins; 2008.
11. Sherman RE, Anderson SA, Dal Pan GJ, Gray GW, Gross T,
Hunter NL, LaVange L, Marinac-Dabic D, Marks PW, Robb MA,
Shuren J, Temple R, Woodcock J, Yue LQ, Califf RM. Real-world
evidence—what is it and what can it tell us? N Engl J Med. 2016;
375(23):2293–2297.
12. Food and Drug Administration. Guidance for industry and FDA staff.
Best practices for conducting and reporting pharmacoepidemiologic
doi: 10.1210/jc.2018-01010 https://academic.oup.com/jcem 521
Downloaded from https://academic.oup.com/jcem/article-abstract/104/2/513/5104461 by Research Triangle Institute user on 01 February 2019
safety studies using electronic healthcare data. U.S. Department
of Health and Human Services, Food and Drug Administration;
May 2013. Available at: http://www.fda.gov/downloads/Drugs/
GuidanceComplianceRegulatoryInformation/Guidances/UCM243537.
pdf. Accessed 16 March 2018.
13. International Society for Pharmacoepidemiology. Guidelines for
good pharmacoepidemiology practices (GPP). Revision 3. Interna-
tional Society for Pharmacoepidemiology; June 2015. Available at:
https://www.pharmacoepi.org/resources/policies/guidelines-08027/.
Accessed 10 August 2018.
14. European Medicines Agency. Guideline on good pharmacovigi-
lance practices (GVP). Module VIII –Post-authorisation safety
studies (EMA/813938/2011 Rev 3). European Medicines Agency; 9
October 2017. Available at: http://www.ema.europa.eu/docs/en_
GB/document_library/Scientific_guideline/2012/06/WC500129137.pdf.
Accessed 16 March 2018.
15. European Medicines Agency. Guideline on good pharmacovigi-
lance practices (GVP). Module VI –Collection, management and
submission reports of suspected adverse reactions to medicinal
products (Rev 2). European Medicines Agency; 28 July 2017.
Available at: http://www.ema.europa.eu/docs/en_GB/document_
library/Regulatory_and_procedural_guideline/2017/08/WC500232767.
pdf. Accessed 14 March 2018.
16. Chang CS, Liao CH, Lin CC, Lane HY, Sung FC, Kao CH.
Patients with epilepsy are at an increased risk of subsequent
stroke: a population-based cohort study. Seizure. 2014;23(5):
377–381.
17. Lewington S, Clarke R, Qizilbash N, Peto R, Collins R, Prospective
Studies C; Prospective Studies Collaboration. Age-specific rele-
vance of usual blood pressure to vascular mortality: a meta-analysis
of individual data for one million adults in 61 prospective studies.
Lancet. 2002;360(9349):1903–1913.
18. Patorno E, Glynn RJ, Hernandez-Diaz S, Avorn J, Wahl PM, Bohn
RL, Mines D, Liu J, Schneeweiss S. Risk of ischemic cerebrovas-
cular and coronary events in adult users of anticonvulsant medi-
cations in routine care settings. J Am Heart Assoc. 2013;2(4):
e000208.
522 Ritchey et al CV Safety With Phentermine and Topiramate J Clin Endocrinol Metab, February 2019, 104(2):513–522
Downloaded from https://academic.oup.com/jcem/article-abstract/104/2/513/5104461 by Research Triangle Institute user on 01 February 2019