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Abstract Number: 1895

Comparative Analysis of Existing Tools in Assessing Cardiovascular Risk in Patients with Rheumatoid Arthritis: Exploring the Inadequacies

Pritee Shrestha1, Peter Larsen1 and Pablo Weilg Espejo2, 1Mercy One North Iowa Medical Center, Mason City, IA, 2Boston Medical Center, Chelsea, MA

Meeting: ACR Convergence 2023

Keywords: autoimmune diseases, Cardiovascular, prevention, rheumatoid arthritis, risk factors

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Session Information

Date: Tuesday, November 14, 2023

Title: (1895–1912) Measures & Measurement of Healthcare Quality Poster II

Session Type: Poster Session C

Session Time: 9:00AM-11:00AM

Background/Purpose: Patients with Rheumatoid Arthritis (RA) are at increased risk of cardiovascular disease (CVD). Despite multiple CVD risk tools available, reliability to RA population is limited as they might not fully incorporate the unique risk factors faced by this population cohort. Studies have shown a direct correlation between RA disease severity and increased prevalence of CVD risk factors like diabetes and arthrosclerosis. [1,2] Based on these findings, we can expect an adequate tool designed to assess the burden of cardiovascular disease risk should reflect the disease severity in patients with RA. We aim to assess the reliability of current CVD assessment tools used in patients with RA by comparing the strength of correlation between these tools with the RA disease severity.

Methods: A single centered retrospective observational analysis was conducted. Medical records of 102 patients all of whom met 2010 ACR/EULAR criteria were included including the DAS-28 score calculated per rheumatologist. SPSS was utilized to assess the strength and direction of the relationship between each CVD assessment tool and RA disease activity. For the former, we employed ASCVD, Framingham and mSCORE. The mSCORE risk assessment tool was recommended by EULAR to access CVD risk in patients with RA. [1] Correlational analysis between CVD assessment tools and DAS-28 score was performed to evaluate the relationship between CVD risk and disease activity. Statin use in patients at risk as recommended by the AHA were reviewed.

Results: Results revealed the correlational coefficient for mSCORE, Framingham score and ASCVD score with DAS-28 score where 0.618, 0.355, 0.165 with P value of < 0.001, 0.001 and 0.098 respectively (Table 1). These findings suggest that mSCORE shows the strongest correlation with DAS-28 scores compared to ASCVD and Framingham score (Figure 1). Further, we identified the number of patients with moderate to high disease activity that are calculated to have a low CVD risk. Increased variability among the tools raises questions about the accuracy of these tools in reflecting the true risk. We found that 42% (n=8) patients and 21% (n=4) who had moderate to high risk were classified as low risk in ASCVD and Framingham score respectively. At the same time, for the mSCORE, none of the patients with moderate to high disease activity was classified as low risk(Table 2). These findings reinforce our previous result.

Conclusion: Being explicitly designed for RA patients, mSCORE is likely to capture the cardiovascular risk profile of these individuals better as it incorporates RA-specific factors. Although such RA-specific tools offer some improvement over general population-based tools, their practical application remains challenging due to several experimental limitations. As a result, providers often rely on general tools leaving a concern that these patients are not being appropriately treated. Moreover, we are observing treatment failures even with currently used general risk assessment tools. Approximately 32% (n=20) in our study, who warranted statin therapy based on their ASCVD risk were not receiving it. These findings draw attention to a significant gap in adequate management of cardiovascular health in this population.

Supporting image 1

Figure 1. Scattered plot illustrating a) strongest correlation between mSCORE and DAS_28 scores suggesting that as RA disease activity increases, the cardiovascular risk per mSCORE calculation also increases. On the other hand, the b)Framingham score and c) ASCVD score shows weaker correlations with the DAS_28 score.

Supporting image 2

Table 1. Correlational analysis between the mSCORE, ASCVD score, Framingham score with DAS_28 score performed to evaluate the relationship between CVD risk and RA disease activity. The statistical significance for ASCVD likely impacted by a small sample size along with confounding variables such as age, sex, and other patient demographics. Overall, the higher correlational coefficient for mSCORE suggests that it may be a better predictor of cardiovascular risk in relation to disease activity in RA patients, compared to the Framingham and ASCVD scores.

Supporting image 3

Table 2. Comparative analysis using crosstabulation to assess if the risk stratification categories calculated by each tool aligns with the severity category of the disease. 8 patients in ASCVD and 4 patients in Framingham score system who had moderate to high RA disease activity were classified to have a low risk of CVD using these risk assessment tools. Whereas none of the patients with moderate to high disease activities were classified to have a low CVD risk in mSCORE system.


Disclosures: P. Shrestha: None; P. Larsen: None; P. Weilg Espejo: None.

To cite this abstract in AMA style:

Shrestha P, Larsen P, Weilg Espejo P. Comparative Analysis of Existing Tools in Assessing Cardiovascular Risk in Patients with Rheumatoid Arthritis: Exploring the Inadequacies [abstract]. Arthritis Rheumatol. 2023; 75 (suppl 9). https://acrabstracts.org/abstract/comparative-analysis-of-existing-tools-in-assessing-cardiovascular-risk-in-patients-with-rheumatoid-arthritis-exploring-the-inadequacies/. Accessed .
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