An Observational Study of Cardiovascular Risks Associated with Rheumatoid Arthritis Therapies: A Comparison of Two Analytical Approaches

An Observational Study of Cardiovascular Risks Associated  with Rheumatoid Arthritis Therapies: A Comparison of Two Analytical Approaches


Lisa J Herrinton, PhD; G Thomas Ray, MBA; Jeffrey R Curtis, MD, MS, MPH;
Jashin J Wu, MD; Bruce Fireman, MA; Liyan Liu, MD, MSc; Robert Goldfien, MD

Perm J 2018;22:17-101 [Full Citation]
E-pub: 07/19/2018


Background and Objectives: Comparative safety studies typically use hierarchical treatment categories that lump monotherapy and combination therapy. The consequence of this approach on study results is not clear. For example, studies of tumor necrosis factor inhibitors usually lump users regardless of whether they are using the drug alone or in combination with other agents. This study explored the importance of lumping vs splitting users of monotherapy and combination therapy. We also explored whether the timing of disenrollment from Health Plan membership was informative as an outcome variable when interpreting unmeasured, time-varying confounding.
Methods: This observational cohort study included Kaiser Permanente Northern California 2003 to 2013 members with rheumatoid arthritis who started methotrexate. The study end point was a major cardiovascular event. In Cox proportional hazards analysis, we compared treatment classifications using five lumped categories with treatment classification using nine split categories. We also studied disenrollment as an outcome.
Results: Among 5885 patients, 238 experienced serious cardiovascular events during an average follow-up of 4.25 years. Analysis of drug treatments using 5 lumped categories was difficult to interpret because treatment effects and drug users were mixed. In contrast, analysis of 9 drug categories that split monotherapies from combination therapy was easier to interpret, although confidence intervals were wider. Analysis of drug treatment in relation to disenrollment provided useful information with which to assess study validity, although the power of the analysis was limited.
Conclusion: In comparative safety studies, we recommend greater transparency in classifying treatment and evaluating disenrollment.


A methodologic challenge associated with observational drug safety research is treatment classification. Research has shown that to minimize bias and provide direct contrasts of therapeutic options, users of drug A should be compared with users of a hypothetical drug B that is in therapeutic equipoise with drug A with respect to known effectiveness, safety, and access. In contrast, comparing users of drug A with nonusers of drug A is regarded as poor methodology because of the potential for selection bias.1 Many drugs are used for many diseases, however, and exposure to these drugs changes dynamically during the course of a patient’s treatment trajectory.

Several approaches can be used to classify combination therapy. The most conventional option is to lump treatments for the most severe and intractable disease without regard for whether the treatment is used alone or in combination. A second option is to split monotherapy from combination therapy to create more categories. The relative advantages and disadvantages of these approaches have not been described.

We had the opportunity to study the importance of treatment classification in an observational study of cardiovascular disease in patients with rheumatoid arthritis (RA). Patients with RA are at increased risk for cardiovascular disease, with traditional cardiovascular risk factors playing a limited role.2-4 Observational studies indicate that treatment using biologic and nonbiologic disease-modifying antirheumatic drugs (DMARDs) may reduce cardiovascular risk.5-9 Studies summarized in meta-analyses indicate that use of both methotrexate (MTX) and tumor necrosis factor (TNF) inhibitors is associated with reduced risk for cardiovascular events in RA.10-22 However, few studies have distinguished monotherapy (anti-TNF alone) from combination therapy (eg, anti-TNF plus MTX).20-24

The objective of this report was to provide an empiric example that contrasted lumping and splitting of treatment classification and to assess whether this approach leads to different results. We also explored the association of treatment with disenrollment from the Kaiser Foundation Health Plan. Disenrollment data are available in many data sets and often reflect a patient’s employment stability, income, insurance quality, and baseline health status.25-27 We used disenrollment as a measure of selection factors that may be associated with treatment. This report has implications for improving the transparency of observational drug safety research.



Kaiser Permanente Northern California is a nonprofit, integrated health care delivery system using an electronic medical record that provides data on diagnostic, laboratory, and pharmacy information.

Identification of Patients with Rheumatoid Arthritis Receiving Methotrexate

We conducted a new-user observational cohort study.28 We extracted all visits to rheumatologists for RA (International Classification of Diseases, Ninth Revision [ICD-9] 714.xx) between 2002 and 2013, retaining those whose first diagnosis occurred during 2003 or later. We then restricted the cohort to patients treated with MTX subsequent to their initial RA visit. The index date was the date of first MTX use.

We excluded patients who were younger than age 18 years on their index date; those who did not have continuous Health Plan membership during the year before their initial RA diagnosis or their index date; and those who used the following drugs during the year before their RA diagnosis or index date: MTX, TNF inhibitors, and other biologic DMARDs (abatacept, anakinra, rituximab, or tocilizumab). We further excluded those who, during the year before their index date, had a serious cardiovascular event; had a diagnosis of psoriasis (ICD-9 696.1x); or had transplantation, advanced kidney or liver disease, or cancer other than nonmelanoma skin cancer (Supplemental Table 1, available online at:

Cardiovascular events

Cardiovascular events were defined based on hospital or Emergency Department encounters for acute myocardial infarction, stroke, or coronary revascularization (Supplemental Table 2, available online at:

Rheumatoid Arthritis Treatment Classifications

For each patient, we extracted all prescription fills and infusions of MTX, TNF inhibitors, DMARDs, prescription nonsteroidal anti-inflammatory drugs (NSAIDs), and glucocorticoids (Supplemental Table 3, available online at: The US Food & Drug Administration approved the first TNF inhibitors, infliximab and etanercept, in 1998; adalimumab in 2002; and certolizumab and golimumab in 2013. The latter two drugs were not used in this cohort during the study period.

We classified treatment in 2 ways: 9 split categories vs 5 lumped categories. The 9 split categories classified each patient’s daily use into 1 of these categories: 1) TNF inhibitor monotherapy; 2) concurrent use of TNF inhibitor and only MTX; 3) concurrent use of TNF inhibitors with MTX plus 1 or more other nonbiologic DMARDs; 4) concurrent use of TNF inhibitor and non-MTX nonbiologic DMARDs; 5) concurrent use of MTX and non-MTX nonbiologic DMARDs; 6) non-MTX nonbiologic DMARDs only; 7) RA biologics other than a TNF inhibitor (abatacept, anakinra, rituximab, and tocilizumab), which were rarely used by this cohort; 8) no systemic RA treatments; and 9) MTX monotherapy. The 5 lumped categories combined groups 1 to 4 into a single group (TNF inhibitor mono or combination therapy) and groups 5 and 9 into a single group (MTX mono or combination therapy without TNF inhibitor). The lumping approach is similar to that used by most other studies.11,12,23 Daily use of glucocorticoids was separately classified into none, less than 10 mg/d of prednisone equivalent, and 10 or more mg/d of prednisone equivalent.

For each drug category, we constructed medication episodes with start and end dates allowing for stockpiling. To allow for less than 100% adherence with instructed use and potentially continuing cardiovascular effects after discontinuation, we overlooked gaps in use of up to 90 days and added 90 days to the end of each episode. In a sensitivity analysis, a 180-day gap was used.

Cardiovascular risk factors and other baseline measures

We derived cardiovascular risk factors and other baseline measures recorded during the year before the index date from pharmacy and laboratory data, vital signs, and diagnoses (Supplemental Tables 4 and 5, available online at: Risk factors included use of cardiovascular medications, hypertension, body mass index, dyslipidemia, tobacco use, and the Charlson comorbidity index.29

Statistical analysis

We used extended Cox regression analysis to estimate hazard ratios (HR) and 95% confidence intervals (CIs) for the association of RA treatments with risk for a major cardiovascular event.30 The comparator was use of MTX monotherapy. We ran separate models for RA treatments coded as 9 split categories vs 5 lumped categories. The extended Cox models were fit with a separate record per person per day, with the key variables specifying the RA treatments used on that day. The outcome was the date of the first cardiovascular event. Patients were censored on the date of disenrollment, diagnosis of psoriasis, transplantation, diagnosis of advanced kidney or liver disease, diagnosis of cancer (other than nonmelanoma skin cancer), death, or end of the study on October 31, 2014.

For each analysis, we ran five statistical models with increasing levels of adjustment. In the most fully adjusted models, glucocorticoid use was included as a time-varying covariate. In a second set of analyses, we assessed disenrollment as the outcome variable. Analyses were performed using SAS, Version 9.3 (SAS Institute Inc, Cary, NC). The study was approved by the institutional review board at the Kaiser Foundation Research Institute.


The final study cohort included 5885 adults who met eligibility criteria during the study period (2002-2013). This was after excluding 1896 patients who lacked continuous Health Plan membership and 2803 patients who used an RA-related drug during the year before their first RA diagnosis or index date. We also excluded 86 patients who had experienced a serious cardiovascular event, 268 who had psoriasis, and 296 who underwent transplantation or had advanced kidney or liver disease or cancer during the year before their index date. Women comprised three-quarters of the final study cohort; their average age was 57 years, and 50% were white. Among these patients, 13% had diabetes, 33% had dyslipidemia, and 34% had hypertension (Table 1).

The study population contributed 24,344 person-years of follow-up from the index date to the censoring date, or an average of 4.24 years per patient. The average time from RA diagnosis to initiation of MTX therapy was 205 days, and for the 1557 patients who subsequently started TNF inhibitors, the mean time from MTX initiation to TNF inhibitor initiation was 575 days. TNF-inhibitor use was more common in younger patients, whereas other treatments were more common in older patients (TNF-inhibitor average age 55 years; other treatments, average age 60 years; no treatment, average age 60 years; Table 2). Also, TNF-inhibitor use was more common in patients who did not have diabetes, hypertension, or dyslipidemia at baseline.

There were 238 first cardiovascular events, yielding a crude incidence rate of 9.78 per 1000 person-years. The crude annual incidence rate of cardiovascular events per 1000 person-years was 3.63 (CI = 0.07 - 7.20) among current users of TNF inhibitor monotherapy, 4.79 (CI = 1.24 - 8.34) for current users of TNF inhibitors plus MTX only, 10.10 (CI = 7.81 - 12.38) for current users of MTX monotherapy, and 10.90 (CI = 8.14 - 13.66) for those who were not current users of any systemic RA treatments (Table 2).

The association of RA treatment with major cardiovascular events is shown in Table 3 and Figure 1. Table 3 shows the confounding effects of observed covariates. With the exception of confounding by age and sex, these results did not change to an important degree with the inclusion of larger numbers of covariates, suggesting that the cohorts were comparable in the balance of observed covariates among the treatment groups. Table 3 and Figure 1 illustrate the effects of using different approaches to coding RA treatment after adjusting for all available covariates. Using 9 split-treatment categories, the adjusted HR and CI for the association of current use of various regimens involving TNF inhibitor therapy compared with current use of MTX monotherapy ranged between 0.70 (CI = 0.25 - 1.96) for TNF inhibitor monotherapy and 1.82 (CI = 0.86 - 3.85) for TNF inhibitor therapy combined with one or more other non-MTX nonbiologic agents. About one-quarter of anti-TNF use was combined with a non-MTX nonbiologic agent. The HR for MTX combination therapy compared with MTX monotherapy was 1.28 (CI = 0.88 - 1.87). Using 5 lumped categories, the HR for the association of TNF inhibitor therapy (mono or combination therapy) compared with MTX (mono or combination therapy) was 0.86 (CI = 0.54 - 1.37).

We then evaluated the HR for the association of current drug treatment with disenrollment from the Health Plan membership after adjusting for covariates (Table 4, Figure 2). We found no disenrollment association with current use of TNF inhibitor monotherapy compared with MTX monotherapy (HR = 0.97; CI = 0.72 - 1.30). However, there was a nonsignificant disenrollment association for current users of TNF inhibitor combination therapies (compared with MTX monotherapy, HRs = 0.67 - 0.80 for categories A2-A4). Risk for disenrollment was highest when patients were not using any RA-related therapy (compared with MTX monotherapy; HR = 1.55; CI = 1.33 - 1.82); it is important to bear in mind that every patient started on MTX therapy.

In sensitivity analyses, we found no substantive changes in the associations using a 180-day gap vs a 90-day gap.

An Observational Study of Cardiovascular Risks Associated  with Rheumatoid Arthritis Therapies: A Comparison of Two Analytical Approaches

An Observational Study of Cardiovascular Risks Associated  with Rheumatoid Arthritis Therapies: A Comparison of Two Analytical Approaches

An Observational Study of Cardiovascular Risks Associated  with Rheumatoid Arthritis Therapies: A Comparison of Two Analytical Approaches

An Observational Study of Cardiovascular Risks Associated  with Rheumatoid Arthritis Therapies: A Comparison of Two Analytical Approaches

An Observational Study of Cardiovascular Risks Associated  with Rheumatoid Arthritis Therapies: A Comparison of Two Analytical Approaches

An Observational Study of Cardiovascular Risks Associated  with Rheumatoid Arthritis Therapies: A Comparison of Two Analytical Approaches


Most new-user observational studies comparing the safety of RA treatments in a head-to-head fashion lumped TNF inhibitor monotherapy with TNF inhibitor combination therapy.11,12 To assess whether lumping treatment classification might influence study interpretation, we conducted an exploratory analysis using a dataset of RA and major cardiovascular outcomes. We compared two approaches for drug classification, one in which we used five lumped categories and the other in which we used nine split categories to separate monotherapies and specific drug combinations. In the example we present, current users of combinations of at least three drugs involving TNF inhibitor plus MTX plus other nonbiologic drugs appeared to be at higher risk for a major cardiovascular event than patients using a TNF inhibitor (with or without MTX) without a third nonbiologic agent. We also observed that people not currently using any RA-related drug or using multiple nonbiologic drug combinations were at relatively high risk for a major cardiovascular event. These results stress the value of assessing the heterogeneity of treatment effects among users of monotherapies vs various drug combinations. Treatment heterogeneity can result from patient selection factors or genuine differences in the effects of treatments on cardiovascular risk. For example, both TNF inhibitor and MTX are associated with lower cardiovascular risk for patients with RA, and it is reasonable to consider that users of TNF inhibitor and MTX combination therapy are at lower risk than users of either agent taken alone.

We further observed a relatively low risk for disenrollment among current users of most combination therapies. This association is not statistically significant, but, in the analysis of bias, statistical significance is not essential. We further noted a relatively high risk for disenrollment among those not currently using an RA-related drug. Every patient started as an MTX user; however, during the course of follow-up, some experienced periods without using any RA drug during which they were more likely to disenroll. Patients currently using various drug combinations differed from those using monotherapy with respect to factors that influence disenrollment. Similarly, persons without current exposure to any RA-related drug differed from those with current use of any drug. Factors that influence disenrollment include employment, disease severity, patient frailty, and health-seeking behavior, among others. These same unobserved differences among patients may influence risk for a major cardiovascular event. Thus, lumping TNF inhibitor users into a single category without regard for the number or nature of cotherapies can reduce study transparency because the category combines different treatment effects and different types of patients using different combinations of therapies in unknown proportions.

The HR for the association of disenrollment with current nonuse of RA treatment was 1.55 (CI = 1.33-1.82). This is not a notable difference, which suggests that the magnitude of confounding may not be large in this controlled study. However, this association is more substantial than the cardiovascular disease benefit observed when using TNF inhibitor plus MTX compared with MTX monotherapy (HR = 0.80; CI = 0.61-1.05). Because cardiovascular disease is relatively common in RA, small effects are clinically significant, and this question has generated a large number of published reports from observational studies.10-23

Like many observational comparative safety studies that use clinical data, we did not have access to information on the severity or activity of RA because these data were not recorded in the medical record. Among measured covariates, we found that only age and sex operated as confounders of the relationship between treatments and cardiovascular risk factors. The results did not change when we controlled for cardiovascular risk factors, presumably because these factors were relatively well balanced among patients in the treatment categories. Because traditional cardiovascular risk factors play only a limited role in RA-related cardiovascular risk, however, this balance does not rule out bias related to differences in RA severity and RA-related cardiovascular risk.31-37 Indeed, these study findings suggest that bias may exist.

A limitation of the study was its sample size even though this cohort represented about 1% of patients with RA in the US. In the analysis of 9 split vs 5 lumped categories, differences among HRs were modest, whereas several CIs were quite wide. Typically, study validity has primacy over study precision; nonetheless, the differences in HR across exposure categories may be attributable to chance and should be confirmed in other populations. Yet the results of the disenrollment analysis (excluding disenrollment related to death) were more precise in showing that current use of more complex drug regimens was associated with decreased risk for disenrollment, and nonuse of treatment drugs was associated with increased risk for disenrollment. Also, this study involved a community-based population in which RA severity may be lower than in academic settings or rheumatology practices.

Regarding study external validity, these results are similar to those reported by Greenberg and colleagues,11 who analyzed data from approximately 100 US rheumatology practices and examined a similar composite cardiovascular end point. A strength of their study was the ability to adjust for RA severity. However, they used a hierarchy to classify treatment into 3 groups after excluding use of other biologic DMARDs and periods with no treatment. When comparing with nonbiologic DMARDs excluding MTX, they observed the following HRs: TNF inhibitor combination therapy (including MTX): HR = 0.39 (CI = 0.19-0.82) and MTX alone or in combination with any other nonbiologic DMARD: HR = 0.94 (CI = 0.49-1.80). When we used 5 lumped categories (but treated other nonbiologic DMARDs as the reference group to allow direct comparison), we observed the following HRs: TNF inhibitor combination therapy HR = 0.73 (CI = 0.42-1.25) and MTX HR = 0.85 (CI = 0.56-1.27). Although trends in the present study were similar to those reported by Greenberg and colleagues,11 we observed more modest differences between TNF inhibitor combination therapies and other therapies. However, considering that the TNF inhibitor combination therapy group includes an indeterminate amount of MTX use and MTX use includes some combination of MTX and other nonbiologic DMARDs, these lumped classifications can be difficult to fully interpret or compare, particularly considering the associations of more complex drug regimens with continued enrollment. The analyses using 9 split categories of treatment groups indicate possible heterogeneity among patients using TNF inhibitors, depending upon whether they use TNF inhibitors only or TNF inhibitors in combination with MTX and/or other DMARDs.

In our population, the proportion of follow-up time with any RA-related therapy was 77%. This statistic has not been reported in other studies. However, the percentage of patients who receive at least one dispensing (or infusion) of an RA-related drug during 1 year is a quality metric and has been reported. In 245 Medicare managed care plans (2005-2008), the number of patients with at least 1 dispensing in each year ranged between 16% and 87%.38 In the TennCare population, this proportion was 71% in 2004.39


Drug discoveries and drug costs are accelerating, increasing the need for research on associated benefits and risks. In the case of TNF inhibitor therapy, numerous observational studies have reported benefits associated with anti-TNF and MTX therapies and major cardiovascular outcomes. These outcomes were not evaluated in clinical trials, and selection bias could result in the benefits of these drugs being overstated or understated in some studies. A randomized controlled trial on this issue has not been published, and prescribing decisions are based on observational studies. The methods we recommend for classifying monotherapy and combination therapy will increase the transparency of studies and meta-analyses that assess treatment and comparison groups across settings and studies.

Disclosure Statement

The author(s) have no conflicts of interest to disclose.


We are grateful to an anonymous reviewer who recommended reconsideration of the scope of this work.

Brenda Moss Feinberg, ELS, provided editorial assistance.

How to Cite this Article

Herrinton LJ, Ray GT, Curtis JR, et al. An observational study of cardiovascular risks associated with rheumatoid arthritis therapies: A comparison of two analytical approaches. Perm J 2018;22:17-101. DOI:

1.    Brookhart MA, Stürmer T, Glynn RJ, Rassen J, Schneeweiss S. Confounding control in healthcare database research: Challenges and potential approaches. Med Care 2010 Jun;48(6 Suppl):S114-20. DOI:
    2.    Kremers HM, Crowson CS, Therneau TM, Roger VL, Gabriel SE. High ten-year risk of cardiovascular disease in newly diagnosed rheumatoid arthritis patients: A population-based cohort study. Arthritis Rheum 2008 Aug;58(8):2268-74. DOI:
    3.    Gonzalez A, Maradit Kremers H, Crowson CS, et al. Do cardiovascular risk factors confer the same risk for cardiovascular outcomes in rheumatoid arthritis patients as in non-rheumatoid arthritis patients? Ann Rheum Dis 2008 Jan;67(1):64-9. DOI:
    4.    Choy E, Ganeshalingam K, Semb AG, Szekanecz Z, Nurmohamed M. Cardiovascular risk in rheumatoid arthritis: Recent advances in the understanding of the pivotal role of inflammation, risk predictors and the impact of treatment. Rheumatology (Oxford) 2014 Dec;53(12):2143-54. DOI:
    5.    Naranjo A, Sokka T, Descalzo MA, et al. Cardiovascular disease in patients with rheumatoid arthritis: Results from the QUEST-RA study. Arthritis Res Ther 2008;10(2):R30. DOI:
    6.    Suissa S, Bernatsky S, Hudson M. Antirheumatic drug use and the risk of acute myocardial infarction. Arthritis Rheum 2006 Aug 15;55(4):531-6. DOI:
    7.    van Halm VP, Nurmohamed MT, Twisk JW, Dijkmans BA, Voskuyl AE. Disease-modifying antirheumatic drugs are associated with a reduced risk for cardiovascular disease in patients with rheumatoid arthritis: A case control study. Arthritis Res Ther 2006;8(5):R151. DOI:
    8.    Listing J, Strangfeld A, Kekow J, et al. Does tumor necrosis factor alpha inhibition promote or prevent heart failure in patients with rheumatoid arthritis? Arthritis Rheum 2008 Mar;58(3):667-77. DOI:
    9.    Rao VU, Pavlov A, Klearman M, et al. An evaluation of risk factors for major adverse cardiovascular events during tocilizumab therapy. Arthritis Rheumatol 2015 Feb;67(2):372-80. DOI:
    10.    Micha R, Imamura F, Wyler von Ballmoos M, et al. Systematic review and meta-analysis of methotrexate use and risk of cardiovascular disease. Am J Cardiol 2011 Nov 1;108(9):1362-70. DOI:
    11.    Greenberg JD, Kremer JM, Curtis JR, et al; CORRONA Investigators. Tumour necrosis factor antagonist use and associated risk reduction of cardiovascular events among patients with rheumatoid arthritis. Ann Rheum Dis 2011 Apr;70(4):576-82. DOI:
    12.    Bili A, Tang X, Pranesh S, et al. Tumor necrosis factor alpha inhibitor use and decreased risk for incident coronary events in rheumatoid arthritis. Arthritis Care Res (Hoboken) 2014 Mar;66(3):355-63. DOI:
    13.    Solomon DH, Curtis JR, Saag KG, et al. Cardiovascular risk in rheumatoid arthritis: Comparing TNF-α blockade with nonbiologic DMARDs. Am J Med 2013 Aug;126(8):730.e9-730.e17. DOI:
    14.    Roubille C, Richer V, Starnino T, et al. The effects of tumour necrosis factor inhibitors, methotrexate, non-steroidal anti-inflammatory drugs and corticosteroids on cardiovascular events in rheumatoid arthritis, psoriasis and psoriatic arthritis: A systematic review and meta-analysis. Ann Rheum Dis 2015 Mar;74(3):480-9. DOI:
    15.    Barnabe C, Martin BJ, Ghali WA. Systematic review and meta-analysis: Anti-tumor necrosis factor α therapy and cardiovascular events in rheumatoid arthritis. Arthritis Care Res (Hoboken) 2011 Apr;63(4):522-9. DOI:
    16.    Choi HK, Hernán MA, Seeger JD, Robins JM, Wolfe F. Methotrexate and mortality in patients with rheumatoid arthritis: A prospective study. Lancet 2002 Apr 6;359(9313):1173-7. DOI:
    17.    Jacobsson LT, Turesson C, Gülfe A. et al. Treatment with tumor necrosis factor blockers is associated with a lower incidence of first cardiovascular events in patients with rheumatoid arthritis. J Rheumatol 2005 Jul;32(7):1213-8.
    18.    Westlake SL, Colebatch AN, Baird J, et al. The effect of methotrexate on cardiovascular disease in patients with rheumatoid arthritis: A systematic literature review. Rheumatology (Oxford) 2010 Feb;49(2):295-307. DOI:
    19.    Westlake SL, Colebatch AN, Baird J, et al. Tumour necrosis factor antagonists and the risk of cardiovascular disease in patients with rheumatoid arthritis: A systematic literature review. Rheumatology (Oxford) 2011 Mar;50(3):518-31. DOI:
    20.    Bernatsky S, Hudson M, Suissa S. Anti-rheumatic drug use and risk of hospitalization for congestive heart failure in rheumatoid arthritis. Rheumatology (Oxford) 2005 May;44(5):677-80. DOI:
    21.    Prodanovich S, Ma F, Taylor JR, Pezon C, Fasihi T, Kirsner RS. Methotrexate reduces incidence of vascular diseases in veterans with psoriasis or rheumatoid arthritis. J Am Acad Dermatol 2005 Feb;52(2):262-7. DOI: Erratum in: J Am Acad Dermatol 2005 Apr;52(4):670. DOI:
    22.    Askling J, Dixon W. Influence of biological agents on cardiovascular disease in rheumatoid arthritis. Ann Rheum Dis 2011 Apr;70(4):561-2. DOI:
    23.    Setoguchi S, Schneeweiss S, Avorn J, et al. Tumor necrosis factor-alpha antagonist use and heart failure in elderly patients with rheumatoid arthritis. Am Heart J 2008 Aug;156(2):336-41. DOI:
    24.    Solomon DH, Avorn J, Katz JN, et al. Immunosuppressive medications and hospitalization for cardiovascular events in patients with rheumatoid arthritis. Arthritis Rheum 2006 Dec;54(12):3790-8. DOI:
    25.    Riley GF. Impact of continued biased disenrollment from the Medicare Advantage Program to fee-for-service. Medicare Medicaid Res Rev 2012 Jan 30;2(4):mmrr.002.04.a08. DOI:
    26.    Hill HD, Shaefer HL. Covered today, sick tomorrow? Trends and correlates of children’s health insurance instability. Med Care Res Rev 2011 Oct;68(5):523-36. DOI:
    27.    Desai JR, Wu P, Nichols GA, Lieu TA, O’Connor PJ. Diabetes and asthma case identification, validation, and representativeness when using electronic health data to construct registries for comparative effectiveness and epidemiologic research. Med Care 2012 Jul;50 Suppl:S30-5. DOI:
    28.    Ray WA. Evaluating medication effects outside of clinical trials: New-user designs. Am J Epidemiol 2003 Nov 1;158(9):915-20. DOI:
    29.    Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol 1992 Jun;45(6):613-9. DOI:
    30.    Andersen PK, Gill RD. Cox’s regression model for counting processes: A large sample study. The Annals of Statistics 1982;10(4):1100-20. DOI:
    31.    Solomon DH, Reed GW, Kremer JM, et al. Disease activity in rheumatoid arthritis and the risk of cardiovascular events. Arthritis Rheumatol 2015 Jun;67(6):1449-55. DOI:
    32.    Navarro-Millán I, Yang S, DuVall SL, et al. Association of hyperlipidaemia, inflammation and serological status and coronary heart disease among patients with rheumatoid arthritis: Data from the National Veterans Health Administration. Ann Rheum Dis 2016 Feb;75(2):341-7. DOI:
    33.    Zhang J, Chen L, Delzell E, et al. Republished: The association between inflammatory markers, serum lipids and the risk of cardiovascular events in patients with rheumatoid arthritis. Postgrad Med J 2014 Dec;90(1070):722-9. DOI:
    34.    Goodson NJ, Symmons DP, Scott DG, Bunn D, Lunt M, Silman AJ. Baseline levels of C-reactive protein and prediction of death from cardiovascular disease in patients with inflammatory polyarthritis: A ten-year followup study of a primary care-based inception cohort. Arthritis Rheum 2005 Aug;52(8):2293-9. DOI:
    35.    Dixon WG, Watson KD, Lunt M, Hyrich KL; British Society for Rheumatology Biologics Register Control Centre Consortium, Silman AJ, Symmons DP; British Society for Rheumatology Biologics Register. Reduction in the incidence of myocardial infarction in patients with rheumatoid arthritis who respond to anti-tumor necrosis factor alpha therapy: Results from the British Society for Rheumatology Biologics Register. Arthritis Rheum 2007 Sep;56(9):2905-12. DOI:
    36.    Libby P. Role of inflammation in atherosclerosis associated with rheumatoid arthritis. Am J Med 2008 Oct;121(10 Suppl 1):S21-31. DOI:
    37.    Liao KP, Solomon DH. Editorial: Inflammation, disease-modifying antirheumatic drugs, lipids, and cardiovascular risk in rheumatoid arthritis. Arthritis Rheumatol 2015 Feb;67(2):327-9. DOI:
    38.    Schmajuk G, Trivedi AN, Solomon DH, et al. Receipt of disease-modifying antirheumatic drugs among patients with rheumatoid arthritis in Medicare managed care plans. JAMA 2011 Feb 2;305(5):480-6. DOI:
    39.    Grijalva CG, Chung CP, Stein CM, Mitchel EF Jr, Griffin MR. Changing patterns of medication use in patients with rheumatoid arthritis in a Medicaid population. Rheumatology (Oxford) 2008 Jul;47(7):1061-4. DOI:


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