医学
弗雷明翰风险评分
前瞻性队列研究
队列
风险评估
队列研究
统计的
血压
疾病
内科学
统计
计算机安全
计算机科学
数学
作者
Mulugeta Molla Birhanu,Ayse Zengin,Roger G. Evans,Rohina Joshi,Kartik Kalyanram,Kamakshi Kartik,Goodarz Danaei,Elizabeth Barr,Michaela A Riddell,Oduru Suresh,Velandai Srikanth,Simin Arabshahi,Thomas Nicolaï,Amanda G. Thrift
标识
DOI:10.1093/eurjpc/zwad404
摘要
We compared the performance of cardiovascular risk prediction tools in rural India.We applied the World Health Organization Risk Score (WHO-RS) tools, Australian Risk Score (ARS), and Global risk (Globorisk) prediction tools to participants aged 40-74 years, without prior cardiovascular disease, in the Rishi Valley Prospective Cohort Study, Andhra Pradesh, India. Cardiovascular events during the 5-year follow-up period were identified by verbal autopsy (fatal events) or self-report (non-fatal events). The predictive performance of each tool was assessed by discrimination and calibration. Sensitivity and specificity of each tool for identifying high-risk individuals was assessed using a risk score cut-off of 10% alone, or this 10% cut-off plus clinical risk criteria of diabetes in those aged >60 years, high blood pressure, or high cholesterol.Among 2,333 participants (10,731 person-years of follow-up), 102 participants developed a cardiovascular event. The 5-year observed risk was 4.4% (95% CI: 3.6-5.3). The WHO-RS tools underestimated cardiovascular risk but the ARS overestimated risk, particularly in men. Both the laboratory-based (C-statistic: 0.68 and X2: 26.5, P=0.003) and non-laboratory-based (C-statistic: 0.69 and X2: 20.29, P=0.003) Globorisk tools showed relatively good discrimination and agreement. Addition of clinical criteria to a 10% risk score cut-off improved the diagnostic accuracy of all tools.Cardiovascular risk prediction tools performed disparately in a setting of disadvantage in rural India, with the Globorisk performing best. Addition of clinical criteria to a 10% risk score cut-off aids assessment of risk of a cardiovascular event in rural India.In a cohort of people without prior cardiovascular disease, tools used to predict the risk of cardiovascular events varied widely in their ability to accurately predict who would develop a cardiovascular event. The Globorisk, and to lesser extent the ARS, tools could be appropriate for this setting in rural India. Adding clinical criteria, such as sustained high blood pressure, to a cut-off of 10% risk of a cardiovascular event within 5 years could improve identification of individuals who should be monitored closely and provided with appropriate preventive medications.
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