Challenges of developing a cardiovascular risk calculator for patients with rheumatoid arthritis

被引:55
作者
Crowson, Cynthia S. [1 ,2 ]
Rollefstad, Silvia [3 ]
Kitas, George D. [4 ]
van Riel, Piet L. C. M. [5 ]
Gabriel, Sherine E. [1 ,2 ]
Semb, Anne Grete [3 ]
机构
[1] Mayo Clin, Dept Hlth Sci Res, Div Biomed Stat & Informat, Rochester, MN 55905 USA
[2] Mayo Clin, Div Rheumatol, Dept Med, Rochester, MN 55905 USA
[3] Diakonhjemmet Hosp, Dept Rheumatol, Prevent Cardiorheuma Clin, Oslo, Norway
[4] Dudley Grp NHS Fdn Trust, Dudley, W Midlands, England
[5] Radboud Univ Nijmegen, Med Ctr, Dept Rheumat Dis, Nijmegen, Netherlands
基金
美国国家卫生研究院;
关键词
NET RECLASSIFICATION IMPROVEMENT; DISEASE; EVENTS; VALIDATION; MODELS; PREVALENCE; THERAPY; SCORES; HYPERTENSION; ASSOCIATION;
D O I
10.1371/journal.pone.0174656
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
Objective Cardiovascular disease (CVD) risk calculators designed for use in the general population do not accurately predict the risk of CVD among patients with rheumatoid arthritis (RA), who are at increased risk of CVD. The process of developing risk prediction models involves numerous issues. Our goal was to develop a CVD risk calculator for patients with RA. Methods Thirteen cohorts of patients with RA originating from 10 different countries (UK, Norway, Netherlands, USA, Sweden, Greece, South Africa, Spain, Canada and Mexico) were combined. CVD risk factors and RA characteristics at baseline, in addition to information on CVD outcomes were collected. Cox models were used to develop a CVD risk calculator, considering traditional CVD risk factors and RA characteristics. Model performance was assessed using measures of discrimination and calibration with 10-fold cross-validation. Results A total of 5638 RA patients without prior CVD were included (mean age: 55 [SD: 14] years, 76% female). During a mean follow-up of 5.8 years (30139 person years), 389 patients developed a CVD event. Event rates varied between cohorts, necessitating inclusion of high and low risk strata in the models. The multivariable analyses revealed 2 risk prediction models including either a disease activity score including a 28 joint count and erythrocyte sedimentation rate (DAS28ESR) or a health assessment questionnaire (HAQ) along with age, sex, presence of hypertension, current smoking and ratio of total cholesterol to high-densitylipoprotein cholesterol. Unfortunately, performance of these models was similar to general population CVD risk calculators. Conclusion Efforts to develop a specific CVD risk calculator for patients with RA yielded 2 potential models including RA disease characteristics, but neither demonstrated improved performance compared to risk calculators designed for use in the general population. Challenges encountered and lessons learned are discussed in detail.
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页数:21
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