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Abstract Number: 1410

Low Rates of Cardiovascular Risk Factor Modification Among High-Risk Rheumatoid Arthritis Patients: Barrier to Cardiovascular Prevention Strategies?

Kimberly P. Liang1, Rohit Aggarwal2, Juan (June) Feng3, Jason Lyons3, Heather Eng3, Stephen R. Wisniewski3, Melissa Saul4, Douglas P. Landsittel5, Douglas W. Chew1, Aryan Aiyer6 and Larry W. Moreland7, 1Department of Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA, 2Medicine, University of Pittsburgh, Pittsburgh, PA, 3Epidemiology Data Center, University of Pittsburgh, Graduate School of Public Health, Pittsburgh, PA, 4Biomedical Informatics, University of Pittsburgh, School of Medicine, Pittsburgh, PA, 5Medicine, Biostatistics and Clinical and Translational Science, University of Pittsburgh, Center for Health Care Research Data Center, Pittsburgh, PA, 6Department of Medicine, Division of Cardiology, University of Pittsburgh Medical Center, Pittsburgh, PA, 7Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA

Meeting: 2014 ACR/ARHP Annual Meeting

Keywords: Cardiovascular disease, modifiable risk, prevention, rheumatoid arthritis (RA) and risk

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Session Information

Title: Rheumatoid Arthritis - Clinical Aspects (ACR): Comorbidities, Treatment Outcomes and Mortality

Session Type: Abstract Submissions (ACR)

Background/Purpose:   Despite higher risk of cardiovascular disease (CVD) in rheumatoid arthritis (RA), systematic cardiovascular (CV) prevention strategies are lacking. Recent guidelines for CV risk modification rely on documentation of traditional risk factors to estimate 10-year CV risk scores. Our primary objective was to quantify, by utilizing electronic medical records (EMR), the frequency of CV risk factors in a prospective longitudinal RA cohort, as well as use of CV medications, including statins, angiotensin-converting enzyme inhibitors (ACE-i), or angiotensin-receptor blockers (ARB). We also sought to determine the rates of CV risk factors and CV medication use in the subset of RA patients with 2 or more “high risk” disease features, i.e., seropositivity for rheumatoid factor or anti-cyclic citrullinated peptide, disease duration >10 years, or severe extra-articular manifestations (ExRA).

Methods:   Utilizing the EMR, we identified presence of hypertension (HTN), hyperlipidemia (HL), diabetes mellitus (DM), family history, and personal history of CVD, as defined by ICD-9 codes, as well as body mass index (BMI) >30 kg/m2 (obesity), uncontrolled HTN (blood pressure [BP] ³150/90 mm Hg for those aged ³60 years; and BP ³140/90 mm Hg for those aged <60 years), and current/ever smoking status. We defined use of any statin, ACE-I, or ARB if listed on EMR’s medications. Severe ExRA was defined by ICD-9 codes for pericarditis, pleuritis, Felty’s syndrome, vasculitis, neuropathy, scleritis/episcleritis, or glomerulonephritis. Merging EMR data with ongoing prospective RA Comparative Effectiveness Research (RACER) database, frequencies were calculated for each of the CV risk factors and medications in a subset of active RACER subjects from enrollment up to October 2013.

Results:   A total of 934 active RACER subjects were identified among 1039 enrolled. Table 1 shows prevalence of CV risk factors. Only 14.7% were taking any statin, 26.3% any ACE-i, and 14.1% any ARB. Out of 675 subjects with complete data, 317 (47.0%) had at least 2 “high-risk” RA disease features that increase their estimated 10-year CV risk score. Of this subgroup, 259 (81.7%) had one or more CV risk factors, yet only 57 (18.0%) were treated with any statin, and 138 (43.5%) were treated with any ACE-i or ARB.

Conclusion:   Among RA patients with available EMR data for traditional CV risk factors, a majority had modifiable obesity, HL and HTN (including uncontrolled). Yet, only a minority were treated with statins, ACE-I, or ARB. These data suggest that CV risk factor management is suboptimal in RA patients, even in the subgroup of RA patients with “high-risk” disease features. The low rates of CV risk factor modification are potential barriers to optimizing CV preventive strategies in RA. Future studies are needed to improve work flows using EMR for CV risk factor documentation and to help modify them in this high-risk population.

Table 1: Prevalence of CV Risk Factors Reported in EMR in RACER Cohort.  Analysis of 934 active RACER patients (out of 1039 patients) from enrollment up to October 2013

Present

Absent

Data Missing

HTN*

505 (54.1%)

428 (45.9%)

1

Uncontrolled HTN

705 (76.6%)

216 (23.5%)

13

HL 

480 (51.5%)

453 (48.6%)

1

DMà

158 (16.9%)

775 (83.1%)

1

Family Hx HD¦

11 (1.2%)

922 (98.8%)

1

Personal Hx CVD**

161 (17.3%)

772 (82.7%)

1

BMI

237

BMI ²30 kg/m2

211 (30.3%)

N/A

BMI >30 kg/m2

486 (69.7%)

N/A

Smoking history¤

1

Current/Ever smokers

457 (48.9%)

Never smokers

341 (36.5%)

Unknown

135 (14.5%)

ICD codes: *401.0-401.9;  272.0-272.9; à250.00-250.83; ¦V17.49; **V12.50, 429.0-429.9, 410.0-410.9, 414.00-414.19, 414.2-414.9; ¤305.1, V15.82, or self reported in RACER annually

CV = cardiovascular; EMR = electronic medical record; RACER = Rheumatoid Arthritis Comparative Effectiveness Research; HTN = hypertension; HL = hyperlipidemia; DM = diabetes mellitus; Hx = history; HD = heart disease; CVD = cardiovascular disease; BMI = body mass index.  Percentages are calculated based on those with available data.


Disclosure:

K. P. Liang,
None;

R. Aggarwal,

Questcor, Pfizer,

2,

Questcor, ATry pharma,

5;

J. Feng,
None;

J. Lyons,
None;

H. Eng,
None;

S. R. Wisniewski,
None;

M. Saul,
None;

D. P. Landsittel,
None;

D. W. Chew,
None;

A. Aiyer,
None;

L. W. Moreland,
None.

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