Comparison of the performance of cardiovascular risk prediction tools in rural India: The Rishi Valley Prospective Cohort Study

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
出处
期刊:European Journal of Preventive Cardiology [Oxford University Press]
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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