Bansal Manish, Kasliwal Ravi R, Trehan Naresh
Senior Consultant Cardiology, Medanta - The Medicity, Sector 38, Gurgaon 122001, Haryana, India.
Chairman, Clinical and Preventive Cardiology, Medanta - The Medicity, Sector 38, Gurgaon 122001, India.
Indian Heart J. 2014 Nov-Dec;66(6):580-6. doi: 10.1016/j.ihj.2014.10.399. Epub 2014 Nov 10.
Although a number of risk assessment models are available for estimating 10-year risk of cardiovascular (CV) events in patients requiring primary prevention of CV disease, the predictive accuracy of the contemporary risk models has not been adequately evaluated in Indians.
149 patients [mean age 59.4 ± 10.6 years; 123 (82.6%) males] without prior CV disease and presenting with acute myocardial infarction (MI) were included. The four clinically most relevant risk assessment models [Framingham Risk score (RiskFRS), World Health Organization risk prediction charts (RiskWHO), American College of Cardiology/American Heart Association pooled cohort equations (RiskACC/AHA) and the 3rd Joint British Societies' risk calculator (RiskJBS)] were applied to estimate what would have been their predicted 10-year risk of CV events if they had presented just prior to suffering the acute MI.
RiskWHO provided the lowest risk estimates with 86.6% patients estimated to be having <20% 10-year risk. In comparison, RiskFRS and RiskACC/AHA returned higher risk estimates (61.7% and 69.8% with risk <20%, respectively; p values <0.001 for comparison with RiskWHO). However, the RiskJBS identified the highest proportion of the patients as being at high-risk (only 44.1% at <20% risk, p values 0 < 0.01 for comparison with all the other 3 risk scores).
This is the first study to show that in Indian patients presenting with acute MI, RiskJBS is likely to identify the largest proportion of the patients as at 'high-risk' as compared to RiskWHO, RiskFRS and RiskACC/AHA. However, large-scale prospective studies are needed to confirm these findings.
尽管有多种风险评估模型可用于估计需要进行心血管疾病一级预防的患者发生心血管(CV)事件的10年风险,但当代风险模型在印度人群中的预测准确性尚未得到充分评估。
纳入149例无既往心血管疾病且因急性心肌梗死(MI)就诊的患者[平均年龄59.4±10.6岁;123例(82.6%)为男性]。应用四种临床上最相关的风险评估模型[弗雷明汉风险评分(RiskFRS)、世界卫生组织风险预测图表(RiskWHO)、美国心脏病学会/美国心脏协会汇总队列方程(RiskACC/AHA)和英国第三联合学会风险计算器(RiskJBS)]来估计如果他们在急性心肌梗死发作前就诊,其预测的10年心血管事件风险会是多少。
RiskWHO给出的风险估计值最低,估计86.6%的患者10年风险<20%。相比之下,RiskFRS和RiskACC/AHA给出的风险估计值更高(风险<20%的分别为61.7%和69.8%;与RiskWHO相比,p值<0.001)。然而,RiskJBS将最高比例的患者识别为高危(只有44.1%的患者风险<20%,与其他3个风险评分相比,p值<0.01)。
这是第一项表明在因急性心肌梗死就诊的印度患者中,与RiskWHO、RiskFRS和RiskACC/AHA相比,RiskJBS可能将最大比例的患者识别为“高危”的研究。然而,需要大规模的前瞻性研究来证实这些发现。