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SSRI use and risk of fractures among perimenopausal women without mental disorders
  1. Yi-han Sheu1,
  2. Amy Lanteigne2,
  3. Til Stürmer3,
  4. Virginia Pate3,
  5. Deborah Azrael4,
  6. Matthew Miller1,4,5
  1. 1Department of Epidemiology, Harvard University, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
  2. 2Department of Social and Behavioral Sciences, Harvard University, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
  3. 3Department of Epidemiology, University of North Carolina at Chapel Hill, Gillings School of Global Public Health, Chapel Hill, North Carolina, USA
  4. 4Department of Health Policy and Management, Harvard University, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
  5. 5Department of Health Sciences, Northeastern University, Boston, Massachusetts, USA
  1. Correspondence to Dr Matthew Miller, Department of Health Science, Northeastern University, Room 316 RB, 360 Huntington Avenue, Boston, MA 02115-5000, USA; ma.miller{at}neu.edu

Abstract

Background Selective serotonin reuptake inhibitors (SSRIs) were recently approved by the FDA to treat vasomotor symptoms associated with menopause. No prior study has directly examined whether fracture risk is increased among perimenopausal women who initiate SSRIs or among a population of women without mental disorders more generally.

Methods Female patients without mental illness, aged 40–64 years, who initiated SSRIs were compared with a cohort who initiated H2 antagonists (H2As) or proton-pump inhibitors (PPIs) in 1998–2010, using data from a claims database. Standardised mortality ratio weighting was applied using the propensity score odds of treatment to adapt the distribution of characteristics among patients starting H2A/PPIs to the distribution among SSRI initiators. Poisson regression estimated risk differences and Cox proportional hazards regression the RR of fractures among new users of SSRIs versus H2A/PPIs. Primary analyses allowed for a 6-month lag period (ie, exposure begins 6 months after initiation) to account for a hypothesised delay in the onset of any clinically meaningful effect of SSRIs on bone mineral density.

Results Fracture rates were higher among the 137 031 SSRI initiators compared with the 236 294 H2A/PPI initiators, with HRs (SSRI vs H2A/PPI) over 1, 2 and 5 years of 1.76 (95% CI 1.33 to 2.32), 1.73 (95% CI 1.33 to 2.24) and 1.67 (95% CI 1.30 to 2.14), respectively.

Conclusions SSRIs appear to increase fracture risk among middle-aged women without psychiatric disorders, an effect sustained over time, suggesting that shorter duration of treatment may decrease fracture risk. Future efforts should examine whether this association pertains at lower doses.

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Introduction

Since the introduction of selective serotonin reuptake inhibitors (SSRIs) in the 1990s, SSRIs have become a first-line treatment for depression as well as other mental disorders (eg, anxiety and eating disorders).1–3 Use of SSRIs for non-psychiatric conditions, such as irritable bowel syndrome, premature ejaculation and perimenopausal symptoms,4 has also increased, to the point that antidepressant medications are now the third most commonly prescribed class of medications in the USA, with much of this growth attributable to a substantial increase in antidepressant prescriptions by non-psychiatrist providers to patients without a psychiatric diagnosis.5

One SSRI, paroxetine, has recently been approved by the US Food and Drug Administration (FDA) for the treatment of vasomotor menopausal symptoms (VMS), including hot flashes and night sweats that occur during the menopausal transition, at about one-third of the dose used to treat most psychiatric disorders.6 Paroxetine is currently the only FDA-approved, non-hormonal treatment for VMS, although other SSRIs have also shown efficacy for this indication at standard doses used to treat depression.7–12 For example, escitalopram improves VMS as well as sleep disturbance related to the perimenopausal condition and improves quality of life.8 ,9 ,13 Recent meta-analyses also show that SSRIs as a class are effective in treating menopausal symptoms, decreasing VMS attacks per day by up to 65%.11 ,14 Indeed, before the FDA approval of paroxetine, SSRIs as a class had already been suggested as an alternative to hormone replacement therapy (HRT).15 ,16

Although the pharmacovigilance literature has addressed several safety concerns related to the use of antidepressants by patients with psychiatric disorders, including risk of fracture, little is known about related risks among the non-psychiatric population. It has been proposed that psychiatric disorders, such as depression, are associated with increased fracture risk independent of antidepressant treatment.17 ,18 The generalisability of this finding to patients without frank psychiatric disorders remains an open empirical question. In fact, whether SSRIs increase fracture risk in the absence of depression and other mental disorders has not been directly examined either in randomised controlled trials or observational studies. To our knowledge, the current study is the first to examine whether SSRI use is related to fracture risks in a population of middle-aged women without known psychiatric disorders, a demographic for which, given the recent FDA approval of paroxetine for the treatment of VMS, SSRI use may increase.

Methods

Patients and data source

The PharMetrics Claims Database used in this study comes from IMS Health and is comprised of commercial health plan information obtained from managed care plans throughout the USA. The database includes medical and pharmaceutical claims for over 61 million unique patients from over 98 health plans (approximately 16 million covered lives per year). The database includes inpatient and outpatient diagnoses (in ICD-9-CM format) and procedures (in CPT-4 and HCPCS formats) as well as both retail and mail order records of all reimbursed dispensed prescriptions. Available data on prescriptions include the National Drug Code (NDC) as well as the quantity, number of days supplied, and the date of dispensing. Additional data elements include demographic variables (age, gender, geographic region), provider specialty, and start and stop dates of health plan enrolment. Only health plans that submit data for all members are included in the database.

The current study involves two cohorts of female patients 40–64 years of age who initiated use of (1) SSRIs; or (2) H2 antagonists (H2A)/proton-pump inhibitors (PPIs) (as a comparator group), between 1 January 1998 and 31 December 2010. Both cohorts exclude patients with diagnoses of any psychiatric disorders (ICD-9 codes 290 to 319). Initiation of SSRIs is defined as filling an SSRI prescription without evidence of having filled a prescription for any kind of antidepressants or anti-ulcer drugs in the preceding 12 months. Initiation of H2A/PPI is defined as filling an H2A/PPI prescription without evidence of having filled a prescription for any kind of antidepressants or anti-ulcer drugs in the preceding 12 months. Such initiators (of SSRIs or H2A/PPIs) are referred to throughout as ‘new users’ of that specific agent. Subjects were required to be actively enrolled in a health plan with prescription benefits that contributed data to our claims database during the 15 months prior to initiation (ie, 12 months for baseline covariate assessment and an additional 3 months to allow uniform assessment of all patients based on a 60-day grace period and a usual medication supply of 30 days).

Medication exposure

Medications classified as SSRIs included citalopram hydrobromide, escitalopram oxalate, fluoxetine hydrochloride, fluvoxamine maleate, paroxetine hydrochloride and sertraline hydrochloride. Commonly prescribed H2A and PPIs are included for the comparator cohort. The H2As include cimetidine, ranitidine, famotidine nizatidine and roxatidine. The PPIs included esomeprazole, lansoprazole, omeprazole, pantoprazole, dexlansoprazole and rabeprazole. Patients initiating more than one antidepressant or H2A/PPI on the same day were excluded.

Follow-up and study end point

Exposure status was assigned based on the initiated medication and carried forward. For each patient, we created a record of drug coverage by listing consecutive prescription fills, based on dispensing dates and reported days supply. When a dispensing occurred before the previous prescription should have run out, use of the new prescription is assumed to begin the day after the end of the old prescription. Since users of any prescription medicine may experience relatively brief episodes without a supply of medicine or may skip taking the medicine some days, we allowed for up to 60 extra days to elapse beyond the provided days supply before censoring (ie, we use a 60-day grace period, twice the most common days supply).

SSRI initiators were allowed to switch from one SSRI to another SSRI but were censored if they switched to another antidepressant class, or added another antidepressant class to the initiated regimen (ie, treatment augmentation with antidepressants other than SSRIs); SSRI initiators were not censored if they were initiated with an H2A or PPI; H2A/PPI initiators were censored at initiation of any antidepressant during follow-up, but were not censored for either switching to another H2A/PPI or adding another H2A/PPI. There was no censoring for dose changes for either cohort. Patients were also censored at the date of the end of enrolment in their health insurance plan, or the end of the study period, whichever came first. New users were not allowed to become new users again; patients who were prevalent users at the start of their enrolment were allowed to become new users after an appropriate washout period.

The occurrence of hip, humerus, radius and ulna fractures at least 1 day after initiating SSRI or H2A/PPI therapy was our outcome of interest. These fractures were defined as a medical claim with an International Classification of Diseases, Ninth Revision (ICD-9) external cause of injury code (E-code) of hip (733.14 or 820.xx), humerus (733.11 or 812.xx) or radius/ulna (733.12 or 813.xx) fracture diagnosis paired with a medical claim with a corresponding treatment code. Our definition of fractures did not include spine fractures because new vertebral compression fractures cannot be reliably identified in claims data.19

Patient characteristics

Patient characteristics included age, sex, and several indicators of past year medical comorbidity based on inpatient, outpatient and pharmacy claims, including the number of acute hospitalisations for any reasons, number of outpatient visits, constituents of the Charlson Comorbidity Index score, number of distinct generic drugs filled, specific drugs that may affect the risk of fractures, previous bone mineral density scans, use of HRT, malignant neoplasms, opiate use, stroke and transient ischaemic attack, Parkinson's disease, perimenopausal symptoms, irritable bowel syndrome, seizure disorders, urinary incontinence, cardiovascular disease and chronic lung disease. Additional risk factors for the outcome of interest included a history of falls and prior hip, humerus and/or radius fracture, based on risk factors identified in the literature.20

Statistical analysis

We estimated the propensity score (PS) for initiating SSRIs versus H2A/PPIs using multivariable logistic regression including all of the covariates outlined above. We implemented the PS to balance these measured covariates across treatment groups by assigning a weight of 1 to each person in the SSRI cohort and weighting each person in the comparator (H2A/PPI) cohort by the propensity odds (PS/(1−PS)). This PS weighting proposed by Sato and Matsuyama21 results in a pseudo-population of H2A/PPI initiators that has the same distribution of measured covariates as that observed in the patients initiating SSRIs (ie, standardised mortality ratio weighting). Weighted Poisson regression was used to calculate fracture rates for patients exposed to SSRIs versus H2A/PPIs allowing for a hypothesised 6-month lag period (ie, starting the clock 6 months after initiation) and informed by examination of Kaplan–Meier (KM) plots of the weighted cohorts. Follow-up continued until the termination of the exposure period. The lag period was chosen to account for a hypothesised delay in the onset of a clinically meaningful effect of SSRIs on bone mineral density. In our main (as-treated) analysis, unless the patient is censored due to death or termination of their insurance programme, exposure periods are extended 6 months beyond the censoring date (the ‘induction period’). We used weighted Poisson regression to estimate the risk difference for each defined time period and weighted Cox proportional hazards models to estimate HRs. Robust methods were used to calculate 95% CIs. The following sensitivity analyses were also performed: (1) a first-treatment-carried forward analysis; (2) analyses using different grace periods (30, 45 and 90 days); and (3) an analysis with no lag or induction periods.

Results

Balance of cohorts

Table 1 shows the characteristics of SSRI new users and the un-weighted and weighted H2A/PPI new user comparator cohorts. Patient characteristics were reasonably balanced across the SSRI and weighted comparator cohorts. For example, age, history of previous fractures, osteoporosis, previous bone mineral density scans, and use of medications that are known to affect risk of fractures were fairly uniformly distributed across our weighted cohorts.

Table 1

Sample characteristics of women, aged 40–64, all mental disorders excluded

Risk of fractures

A KM survival plot of the two cohorts (figure 1) shows higher fracture rates among initiators of antidepressants than among initiators of H2A/PPIs, with separation of the cohorts apparent by 6 months after initiation. Fracture rates (table 2) were significantly higher among the antidepressant cohort than among the comparator cohort beginning 6 months after initiation. Point estimates remained higher for the SSRI cohort through the fourth year after initial treatment. Five-year average fracture rates were significantly higher for the SSRI cohort (SSRI: 2.1 per 1000 person-years, 95% CI 1.8 to 2.5; H2A/PPI: 1.2 per 1000 person-years, 95% CI 1.0 to 1.5).

Table 2

SSRI versus H2A/PPI fracture event rates, stratified by follow-up time

Figure 1

Kaplan-Meier (KM) plot. Selective serotonin reuptake inhibitor (SSRI) versus H2A/proton-pump inhibitor (PPI), as-treated analysis, with 180-day lag period and 180-day induction period. H2As, H2 antagonists; PPI, proton-pump inhibitor; SSRI, selective serotonin reuptake inhibitor.

HRs (SSRIs vs H2A/PPIs, table 3) over 1, 2 and 5 years were 1.76 (95% CI 1.33 to 2.32), 1.73 (95% CI 1.33 to 2.24) and 1.67 (95% CI 1.30 to 2.14), respectively. First-treatment-carried-forward analyses also showed significantly higher risk among the SSRI cohort (tables 2 and 3). Sensitivity analyses without lag and induction periods yielded similar results after the second year, but the HR between cohorts did not show significance in the first year (table 3). Analyses with different grace periods showed results similar to those from primary analyses (data not shown).

Table 3

Fracture HRs and risk differences among women aged 40–64

Discussion

Our analyses found that among a population of middle-aged women without psychiatric diagnoses, compared with patients initiating H2A or PPIs, patients who initiated treatment with SSRIs had significantly higher fracture risk over the entire 5-year study period. This finding is consistent with results from studies involving patients with mental health disorders.22–28 The sustained higher risk among SSRI users is also consistent with the biological hypothesis that fractures associated with SSRI use can be at least partially attributed to antidepressant-related modulation of bone homeostasis in favour of osteoclastic activity, which may result in lower bone mineral density and higher risks of fractures.29 HRs were significantly different between cohorts only after the second year when we modelled risk without including lag and induction periods, suggesting as well that SSRIs may need several months to produce clinically meaningful cumulative effects on bone mineral density.

Several caveats should be borne in mind when interpreting the results of the current study. First, our study population consists of a cohort of middle-aged women who were prescribed SSRIs for several possible and not necessarily well-documented non-psychiatric conditions. Whether our results apply to patients with a specific non-psychiatric condition such as VMS is unknown, although we have no reason to expect otherwise. Second, the relationship between different classes of possible comparator drug classes and fractures is complex and no clear class of agents could be identified that would serve as an ideal analogue of a placebo controlled randomised trial to treat VMS. H2A/PPIs were selected as the comparator agent because studies have shown that H2As have a trivial or no association with risk of fractures,30–32 while PPIs are associated with a slightly increased risk of fractures.30 ,33 ,34 These considerations would tend to drive the differences in fracture risks between the SSRI and our comparator cohort towards the null, provided SSRIs elevate fracture risk. That we observe fracture risk to be significantly higher in our SSRI cohort than in our comparator cohort suggests that the risk differences we observed likely underestimate the true risk difference. Third, we were not able to analyse the relationship between different doses of SSRIs and the risk of fractures, since there was little variation in the dose prescribed to the vast majority of our patients (and most were prescribed doses similar to those recommended for the treatment of depression). A recent population-based case–control study in Denmark suggests that fracture risk depends on average daily dose, but since average daily dose and cumulative dose were not disentangled, it is not clear whether daily dose is an independent predictor of fracture risk beyond its contribution to cumulative dose.35 Lastly, although we achieve good balance across known confounders, unmeasured confounding may still exist.

Despite these limitations, the current study is the first to assess the risk of fractures associated with initiation of SSRIs among a population of middle-aged women without psychiatric disorders. We find that SSRIs are associated with higher risks of fractures, an effect that first became evident several months after treatment initiation. Our finding suggests that, if feasible, shorter duration of treatment might mitigate the risk of developing excess fractures. Since the number of SSRI users without psychiatric disorders is expected to increase following the FDA approval of paroxetine for the treatment of VMS, particularly at lower doses, future efforts should be made to examine how SSRI dose (cumulative, daily or both) might modify fracture risk over time.

What is already known on this subject

  • Selective serotonin reuptake inhibitors (SSRIs) are an effective substitute for hormonal replacement therapy for the treatment of vasomotor symptoms in perimenopausal women.

  • SSRIs have been shown to be associated with increased fracture risks among psychiatric patients.

  • Whether SSRIs are associated with increased fracture risks among non-psychiatric patients has not been directly examined.

What this study adds

  • A significantly higher fracture risk was observed among patients without frank mental illness who initiated selective serotonin reuptake inhibitors (SSRIs) compared with initiators of common ulcer drugs, with risk apparent after 6 months and sustained over the 5-year study period among patients maintained on SSRI therapy.

  • Shorter duration of treatment might mitigate the cumulative risk of developing excess fractures.

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Acknowledgments

We would like to thank the reviewers of this paper, especially for providing insights into the selection of an appropriate comparator group.

References

View Abstract

Footnotes

  • Contributors Y-hS and AL contributed to study design, interpretation of data, drafting and finalising the manuscript. TS contributed to study design, acquisition and interpretation of data, statistical analysis, critical revision of the manuscript, and finalising and supervising the work. VP contributed to study design, statistical analysis, critical revision and finalising the manuscript. DA contributed to study design, interpretation of the data, statistical analysis, critical revision and finalising the manuscript. MM contributed to study design, analysis and interpretation of data, drafting, critical revision, finalising the manuscript, and supervising the work.

  • Funding MM, DA, TS and VP received support for this work from an investigator-initiated research grant (RO1 MH085021) from the National Institute of Mental Health (principal investigator, Dr Miller). Dr Stürmer receives investigator-initiated research funding and support as principal investigator (grant R01 AG023178) from the National Institute on Aging at the National Institutes of Health. He also receives research funding as principal investigator of the UNC-DEcIDE Center from the Agency for Healthcare Research and Quality.

  • Competing interests TS does not accept personal compensation of any kind from any pharmaceutical company, although he receives salary support from the Center for Pharmacoepidemiology and from unrestricted research grants from pharmaceutical companies (GlaxoSmithKline, Merck, Sanofi) to the Department of Epidemiology, University of North Carolina at Chapel Hill. No other disclosures are reported.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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