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Abstract Number: 1442

The 2013 ACC/AHA Cardiovascular Risk Prediction Model and Coronary Atherosclerosis in Patients with Rheumatoid Arthritis

Vivian K. Kawai1, Cecilia P. Chung2, Joseph F. Solus1, Annette Oeser1, Paolo Raggi3 and C. Michael Stein1, 1Vanderbilt University, Nashville, TN, 2Medicine, Vanderbilt University, Nashville, TN, 3University of Alberta, Edmonton, AB, Canada

Meeting: 2014 ACR/ARHP Annual Meeting

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

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Session Information

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

Session Type: Abstract Submissions (ACR)

Background/Purpose: Patients with rheumatoid arthritis (RA) have increased risk of atherosclerotic cardiovascular (CV) disease  that is underestimated by the Framingham risk score (FRS). We hypothesized that the new 2013 ACC/AHA 10-year risk score could better identify patients with RA with high coronary artery calcification (CAC) scores, and consequently elevated  CV risk, compared to the FRS and the Reynolds risk score (RRS).

Methods: We calculated the 10-year FRS, RRS and ACC/AHA risk score in 98 RA patients aged between 40 and 75 years who would be eligible for risk stratification using the ACC/AHA score and assigned them to either elevated or low risk categories.  We identified patients categorized as having elevated CV risk based on the presence of high CAC scores using the thresholds defined by Goff et al. (≥ 300 Agatston units or ≥ 75thpercentile) and compared the ability of the three risk scores to correctly categorize these patients with high CAC as having elevated cardiovascular risk. We used receiver operator characteristic (ROC) curves (or c-statistics) to compare the ability of the three risk scores to identify patients with high CAC.

Results: All three risk scores were higher in patients with high CAC than those without (all P values <0.05). The FRS (32% vs. 16%, P=0.055) and RRS (32% vs. 13%, P=0.018) both assigned more patients with high CAC than low CAC into the elevated risk category. The ACC/AHA risk score assigned more patients with high CAC into the elevated risk category (41%) and also assigned 28% of patients without high CAC into the elevated risk category so that the  proportion patients with and without high CAC assigned to the elevated CV risk category was not significantly different (P=0.190). The c-statistics (95% C.I.) for the FRS, RRS and ACC/AHA risk score predicting the presence of high CAC were 0.65 (0.53-0.76), 0.66 (0.55-0.77), and 0.65 (0.53-0.76), respectively.

Table:  Cardiovascular risk estimates in patients   with rheumatoid arthritis with and without high coronary artery calcium

10-year cardiovascular risk scores

 

CAC<300 agatston units or CAC <75th percentile

(n=64)

CAC≥300 Agatston units or CAC≥75th percentile

(n=34)

P values

Framingham risk score

Low risk category

54 (84)

23 (68)

0.055

 

Elevated risk category

10 (16)

11 (32)

Reynolds risk score

Low risk category

56 (87)

23 (68)

0.018

 

Elevated risk category

8 (13)

11 (32)

ACC/AHA risk score

Low risk category

46 (72)

20 (59)

0.190

 

Elevated risk category

18 (28)

14 (41)

Conclusion: The new ACC/AHA 10-year risk score, despite classifying more patients with high CAC into the elevated risk category than the FRS and RRS, assigned  almost 60% of patients with elevated risk as determined by a high CAC score into the low CV risk category. Modifications of standard CV risk prediction models used in the general population may not improve risk prediction in patients with RA.


Disclosure:

V. K. Kawai,

NIH,

2;

C. P. Chung,

NIH,

2;

J. F. Solus,
None;

A. Oeser,
None;

P. Raggi,
None;

C. M. Stein,

NIH,

2.

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