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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
Ann Rheum Dis. Author manuscript; available in PMC 2017 April 21.
Published in final edited form as:
PMCID: PMC5399680

Statin Use and Mortality in Rheumatoid Arthritis: A General Population-Based Cohort Study

Sara R. Schoenfeld, MD,1 Leo Lu, MPH,1,2 Sharan K. Rai, BSc,3 John D. Seeger, PharmD, DrPH,4 Yuqing Zhang, DSc,2 and Hyon K. Choi, MD, DrPH1



Dual lipid-lowering and anti-inflammatory properties of statins may lead to survival benefits in patients with rheumatoid arthritis (RA). However, data on this topic are limited, and the role of statins in RA remains unclear. We examined the association of statin use with overall mortality among RA patients in a general population context.


We conducted an incident user cohort study with time-stratified propensity score matching using a UK general population database. The study population included individuals aged ≥20 years who had a diagnosis of RA and the use of at least one disease modifying anti-rheumatic drug (DMARD) between January 2000 and December 2012. To closely account for potential confounders, we compared propensity score matched cohorts of statin initiators and comparators (non-initiators) within 1-year cohort accrual blocks.


There were 432 deaths during follow up (mean=4.51 years) of the 2,943 statin initiators for an incidence rate of 32.6/1000 person-years (PY), while the 513 deaths among 2,943 matched comparators resulted in an incidence rate of 40.6/1000 PY. Baseline characteristics were well-balanced across the two groups. Statin initiation was associated with a 21% lower risk of all cause mortality (HR 0.79, 95% CI 0.68–0.91). When we defined RA by its diagnosis code alone (not requiring DMARD use), the corresponding HR was 0.81 (95% CI 0.74–0.90).


Statin initiation is associated with a lower risk of mortality among RA patients. The magnitude of association is similar to that seen in previous randomized trials among the general population.

Keywords: Rheumatoid Arthritis, Statin, Mortality, Cardiovascular Disease


Rheumatoid arthritis (RA) is a chronic, inflammatory arthritis associated with systemic inflammation and characterized by substantial disability and premature mortality. [14] This increased risk of mortality is associated with more severe disease activity and is likely due in part to higher levels of systemic inflammation in patients with RA. [58]

Hydroxymethylglutaryl-coenzyme A reductase inhibitors, or “statins,” reduce mortality by up to 30% in patients with coronary artery disease (CAD) and congestive heart failure (CHF). [913] Statins also confer a survival benefit in primary prevention in the general population, with two recent meta-analyses showing a 9% and 14% reduced risk of mortality associated with statin use. [14,15] The JUPITER (Justification for the Use of Statins in Prevention: an Intervention Trial Evaluating Rosuvastatin) trial demonstrated that rosuvastatin decreases the risk of cardiovascular (CV) events or cardiovascular mortality in otherwise healthy individuals who have low LDL cholesterol but elevated high-sensitivity C-reactive protein (hsCRP). [16] Subjects treated with rosuvastatin also experienced a 20% reduction in all cause mortality (p=0.02).

Statins have not only lipid lowering effects, but also anti-inflammatory properties that involve regulating leukocyte-endothelial cell adhesion, reducing nitric oxide (NO) production and decreasing levels of inflammatory cytokines such as TNF-alpha, IL-1 and IL-6. [17,18] Indeed, a randomized controlled trial of RA patients found that the addition of statins to standard disease modifying anti-rheumatic drug (DMARD) therapy resulted in an improvement in clinical parameters such as disease activity score and swollen joint count as well as in inflammatory markers. [19] The dual benefits of lipoprotein improvement and anti-inflammatory effects might be expected to confer a survival benefit to RA patients, at least similar to and potentially greater than that seen among the general population without a history of CVD or inflammatory disease. A recent randomized trial was initiated to examine the impact of atorvastatin in preventing CV events in RA patients (Trial of Atorvastatin for the Primary Prevention of Cardiovascular Events in Patients with Rheumatoid Arthritis [TRACE-RA]); however, the trial was terminated early due to the low event rate. [20,21] To help address this knowledge gap, we evaluated the association of statin initiation with the risk of death among individuals with RA in a general population context.


Data Source

We used The Health Improvement Network (THIN), a computerized medical record database entered by general practitioners (GPs) in the UK. Data on approximately 10.2 million patients are systematically recorded and sent anonymously to THIN. Approximately 97% of the UK population is registered with a GP, [22] making THIN data representative of the general population of the UK. [23] Information in THIN includes demographic information, details from GP visits, diagnoses from specialists’ visits and hospital admissions, laboratory tests, and additional information including height, weight, alcohol use and smoking status. The Read classification system is used to code specific diagnoses, [24] and prescriptions written by the GP are coded in THIN using the Multilex classification system, a standard drug terminology library used in the UK that includes information on drug formulation and strength. During office visits, GPs record patient health information using a computerized system, and they receive training and feedback to ensure that data recording is accurate. [25] Data from THIN therefore reflect routine medical practices in a population-based setting and have been shown to be valid for use in epidemiologic and clinical studies. [26]

Study Population

Our study population included individuals aged ≥20 years who had a recorded diagnosis of RA and use of at least one DMARD between January 2000 and December 2012 (see supplementary file for RA diagnostic codes and DMARDs). This definition of RA has been shown to have a specificity of 96% in the UK General Practice Research Database (GPRD) [27] and has been used to accurately identify RA cases in healthcare utilization data. [28] Study cohort members were required to have ≥ 1 years of enrollment with the general practice before entering the study cohort. Individuals were excluded if they were current or prior statin users or if they had incomplete records of covariates (cholesterol level, body mass index [BMI], drinking status and smoking status). A secondary definition of RA using only an RA diagnostic code without requiring the use of a DMARD was applied as a sensitivity analysis.

The Propensity Score Matched Cohorts Stratified by Time Blocks

Confounding by indication, where baseline characteristics of compared groups differ in ways that alter outcome risk, can be a major concern in observational studies of medication effects; we therefore employed propensity score-matching to address this threat to validity. Further, to address potential secular trends in statin use and mortality risk, cohorts were matched within the same calendar year (i.e., 13 blocks from January 2000 to December 2012).

Within each annual cohort accrual block, statin initiators were defined as patients who started a statin during that year, while eligible patients who did not start a statin were their potential matches. Propensity scores (predicted probability of statin initiation) were estimated using logistic regression, separately for each cohort accrual block. For each statin initiator, we identified a propensity score matched subject who did not initiate a statin during the accrual block using a 5-to-1 digit “greedy matching” algorithm. [29,30] The initiation date was used as the index date for that patient, and a random date within the one-year block was assigned as the index date for non-initiators.

The variables included in the logistic regression model consisted of RA duration prior to the index date, socio-demographic factors, BMI, lifestyle factors, comorbidities, medication use, and healthcare utilization. Specifically, socio-demographic information included age at the index date, sex, and the Townsend Deprivation Index score, an indicator for economic status. [31,32] Lifestyle factors included smoking status and alcohol use. Comorbidities included MI, atrial fibrillation, ischemic heart disease, peripheral vascular disease, CHF, valvular heart disease, transient ischemic attack, other circulatory disease, stroke, hypertension, chronic obstructive pulmonary disease, chronic kidney disease (stage ≥3), liver disease, diabetes, cancer, pneumonia or infection, dementia, depression, venous thromboembolism, and varicose veins. Medications included nitrates, angiotensin-converting-enzyme inhibitors, angiotensin receptor blockers, beta-blockers, calcium channel blockers, aspirin, non-steroidal anti-inflammatory drugs (NSAIDs), loop diuretics, hydrochlorothiazide (HCTZ), thiazide-like diuretics, potassium sparing diuretics, insulin, DMARDs, glucocorticoids, biologic medications, and anticoagulants. Laboratory measurements included total cholesterol levels. Healthcare utilization variables included the number of general practitioner visits, hospitalizations, referrals and number of medications as assessed over the two years prior to the index date.

Statistical Analysis

The outcome of interest was all-cause mortality as defined by the death date recorded in THIN. Statin initiators and matched non-initiators began accruing risk time from the index date until death, disenrollment in THIN or the end of the study period, whichever came first. Statin initiators and non-initiators in each cohort retained their original exposure status throughout the follow-up. This approach maintains the comparability of these two exposure groups in terms of the baseline characteristics and provides conservative estimates, similar to an intent-to-treat approach used in clinical trials.

We used Cox proportional hazard models to estimate the association of statin initiation with the risk of all-cause mortality, stratified by 1-year cohort accrual blocks. Survival plots were generated as estimates of cumulative mortality to identify time trends in the occurrence of death. We repeated the same analyses limited to individuals with only a record of RA but not requiring use of a DMARD. We conducted subgroup analyses stratified by sex, age group (<60 years versus 60–69 years vs ≥70 years), the Townsend Deprivation Index score (≤ 2 versus > 2), RA duration (≤ 5 years versus > 5 years), and history of circulatory disease. As a sensitivity analysis, we used symmetric trimming with the cut point at the 5th percentiles and 95th percentiles of the propensity score matching. [33] Finally, we performed the same analysis excluding patients with a history of CVD (i.e. MI, ischemic heart disease, transient ischemic attack, stroke). To address the potential for statin initiators to discontinue the drug over time, we performed sensitivity analyses with follow-up time truncated at 1 year, 2 years, and 3 years for all subjects. For all hazard ratios (HRs), we calculated 95% confidence intervals (CIs). All P-values were two-sided. All statistical analyses were performed using SAS version 9.2 (SAS Institute Inc., Cary, NC, USA).


There were an average 264 statin initiators and 3,495 statin non-initiators among the RA subjects who were eligible for propensity score matching and cohort inclusion in each 1 year accrual block. When statin initiators were compared to randomly chosen non-initiators using 1:1 matching, statin initiators had a higher prevalence of cardiovascular disease (CVD), coronary heart disease risk factors, other comorbidities and use of cardiovascular-related and other medications (n=3,438 in each group; Table 1 and Supplementary Table 1). During the follow up of these unmatched cohorts, 532 died in the statin initiator group and 374 died in the non-initiator group (HR 1.46, 95% CI 1.28–1.67; Supplemental Figure 1).

Table 1
Selected Baseline Characteristics in the Unmatched and Propensity-Score Matched Cohorts

In comparison, after propensity score matching, the baseline characteristics were well balanced between the two groups (n=2,943 in each group; Table 1 and Supplementary Table 1). The standardized differences of the baseline characteristics ranged from 0 to 3% (all p-values > 0.2), which were well within the often used guideline of 10%. [34] Patients in the matched cohort were 34% male and had a mean age of 65 years. There were 432 deaths in the statin initiator group and 513 deaths in the non-initiator group during the follow up period (mean 4.51 years and 4.29 years in the initiator and comparator groups, respectively; Table 2). The corresponding incidence rates were 32.6 and 40.6 per 1000 person years, respectively, and the hazard ratio for mortality associated with statin initiation was 0.79 (95% CI 0.68–0.91) (Table 2, Figure 1). The HRs in the analyses with follow up truncated at 1 year, 2 years and 3 years were 0.65 (95% CI 0.48–0.89), 0.70 (95% CI 0.55–0.88), and 0.76 (95% CI 0.62–0.93), respectively (Table 2).

Figure 1
Time to Death for the Propensity-Score Matched Cohort of Patients with Rheumatoid Arthritis
Table 2
Hazard Ratios for Mortality Associated with Statin Initiation According to the Follow-up Period

Sensitivity Analyses

When we repeated the analysis with a less restrictive definition of RA (diagnostic code only), more patients qualified (n=6,401 in each group), but the association between statin initiation and mortality did not change materially (HR 0.81, 95% CI 0.74 to 0.90) (Table 2). When we examined the association between statin initiation and mortality in a number of different subgroups, the inverse association with statin initiation persisted (Table 3). We excluded patients with a prior history of CVD and found that statin use was still associated with a 25% reduction in all cause mortality (HR 0.75, 95% CI 0.61–0.92). Finally, after we performed the 5th and 95th percentile symmetry trimming of our propensity score matched cohorts, our results remained similar (HR 0.77, 95% CI 0.66– 0.90).

Table 3
Association Between Statin Initiation and Mortality According to Different Populations


In this large cohort study of RA patients derived from the general population, we found that statin initiation was associated with a 21% lower risk of all-cause mortality among patients with RA. This association was apparent from the first year through the subsequent years of follow-up. These associations were independent of age, sex, BMI, socio-economic status, relevant comorbidities, cardiovascular medication use, total cholesterol levels, and healthcare utilization. Further, subgroup analyses suggested no meaningful heterogeneity of the inverse association according to key covariates (age, sex, socio-economic status, RA duration, baseline cholesterol levels, and history of circulatory disease). Importantly, the magnitude of inverse association between statin use and mortality was similar to that observed in many previous studies of non-RA patients, [9,10,16]. However, the magnitude was slightly greater than that observed in two recent meta-analyses of statin use for primary prevention in the general population. [14,15] Although the differences were small, this finding may not be surprising in light of the fact that RA patients are at a higher risk for CVD than the general population, and could benefit from the dual anti-inflammatory [19] and lipid-lowering effects of statins in a way that the general population may not. [35]

The increased risk of CVD and premature mortality in RA, as well as the contribution of inflammation to this risk, has given rise to considerable interest in the cardioprotective role of statins in RA. To our knowledge, the current study is the first to evaluate the association of statin initiation with all-cause mortality in patients with RA irrespective of whether they had a history of CVD. One previous study attempted to assess the potential survival impact of the prevalent use of statins in 430 RA patients, and reported a 64% reduction in mortality. [36] However, approaches investigating prevalent users (as opposed to incident users) are vulnerable to selecting patients who are already tolerating and benefitting from statins (i.e., selection bias). The current study adopted an incident user design as well as an intent-to-treat analytic approach to help emulate the paradigm of randomized controlled trials. An additional study of statins in secondary prevention of CVD showed that patients with inflammatory joint disease treated with high dose statins, including 199 patients with RA, had a similar reduction in lipid levels and CV events as those without RA. [37] Given the relatively small number of RA patients in this analysis, it remains unclear if there was sufficient power to detect a germane subgroup effect (by presence of RA), although it is interesting to note that the HR in this study was nearly identical to the one in our current study.

Our findings expand upon prior evidence for the beneficial effects of statins in RA which have been indirectly drawn from: 1) studies evaluating intermediate markers of CVD and premature mortality in RA; [3840] 2) anti-rheumatic and lipid findings from studies evaluating RA disease outcomes; [19] and 3) studies evaluating statin effects in other patient populations, such as the JUPITER trial. [16] For example, statins have shown promising results including improvement of endothelial function, [38] a reduction in arterial stiffness,[39] and regression of carotid artery plaque height [40] in patients with RA. In the TARA trial, along with demonstrating that RA disease activity improved significantly in the atorvastatin group compared to placebo, total cholesterol, low density lipoprotein cholesterol, and triglyceride levels also declined substantially. [19] Finally, the applicability of findings from the JUPITER trial to patients with RA has been argued on the basis of RA itself being a risk factor for CVD and early mortality.

The strengths of our study are worthy of discussion. This is a large-scale study conducted among the general population with a substantial number of statin initiators and a sufficient number of outcomes to produce meaningful estimates. Indeed, the strength of a large-scale observational study such as this one is of particular importance in light of the recent TRACE-RA trial that was terminated prematurely due to a low event rate. [20,21] In pharmacoepidemiologic studies such as this one, confounding by indication can pose a problem and bias results. Indeed, in our unmatched analysis, the baseline characteristics of RA patients who were taking statins were quite different from those who were not taking statins; in particular, the initiators had more CVD and comorbidities and more use of cardiovascular medications. As such, one would expect that statin use might actually be associated with a higher risk of mortality due to this increased prevalence of comorbidities among statin initiators, and this was in fact the case in the comparison of our unmatched cohorts (Supplementary Figure 1). However, after we employed propensity score matching to our cohorts (thereby balancing baseline covariate distributions), we found that statin initiation was associated with a lower risk of mortality. In addition, matching within 1 year blocks flexibly allows for changes in the relative importance of potential confounding variables to be accounted for at different times. Although matching could result in less generalizability, we were able to match nearly 90% of the statin initiators, making generalizability less of a concern.

Potential limitations of our study also deserve comment. While our study found a lower risk of mortality associated with statin initiation among RA patients, we were unable to address cause-specific mortality, as these data are generally incomplete within THIN. Nevertheless, knowledge of the overall lower mortality risk associated with statin use among RA patients is critically significant in and of itself. We hypothesize that the lower mortality rate associated with statins stems from the reduction of cardiovascular-specific mortality in RA patients, and this speculation calls for future studies that address cause-specific mortality outcomes. Because our study was a complete case analysis that excluded patients with missing values, it is possible that this could affect the pool of statin non-users as they may be less likely to have cholesterol values recorded. However, exclusion of these patients would be unlikely to affect our results significantly and, if anything, would bias towards more conservative estimates of the role of statins. While we do not have information about disease activity in the THIN database, it is unlikely that it would have significantly influenced a physician’s decision to initiate a statin, making it improbable that disease activity would be acting as a confounder. Furthermore, our matched cohorts were well balanced for use of glucocorticoids, NSAIDs, biologics and by definition, all patients were required to use a DMARD, making it unlikely that there was meaningful imbalance in use of these drugs between the two groups. Finally, while our propensity score matching allowed us to control many variables, our study was observational, and thus we cannot exclude the possibility that there was residual or unknown confounding.

In conclusion, we found that statin initiation was associated with a 21% lower risk of mortality among patients with RA. The magnitude of the inverse association between statin use and mortality among RA patients was similar to that seen in previous randomized trials among non-RA patients. While awaiting definitive randomized trial evidence on the topic (which is challenging to obtain, as demonstrated by the recent experience of the TRACE-RA trial [20,21]), statin initiation appears to be associated with a lower risk of mortality in RA patients.

Supplementary Material




Funding: This work was supported in part by a grant from the NIH (P60AR047785).


Competing Interests: None


Sara R. Schoenfeld: Design, Analysis and Draft

Leo Lu: Design, Analysis, Data Extraction and Draft

Sharan K. Rai: Analysis and Draft

John D. Seeger: Analysis and Draft

Yuqing Zhang: Design, Analysis and Draft

Hyon K. Choi: Design, Analysis and Draft


Ethical approval information: Ethical approval was obtained from The Health Improvement Network (THIN) Institutional Review Board.

Data Sharing Statement: At this moment there are no additional unpublished data.


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