修订后的世卫组织中东和北非心血管疾病风险预测模型的性能:德黑兰脂质和葡萄糖研究的验证研究

IF 7.3 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Mahin Nomali , Mehdi Yaseri , Saharnaz Nedjat , Fereidoun Azizi , Mohammad Ali Mansournia , Hossein Navid , Goodarz Danaei , Mark Woodward , Noushin Fahimfar , Ewout Steyerberg , Davood Khalili
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引用次数: 0

摘要

目的:我们旨在评估修订后的WHO模型在预测中东和北非(MENA)地区伊朗心血管疾病(CVD) 10年风险方面的表现。研究设计和背景:我们分析了来自德黑兰脂质和葡萄糖研究(TLGS)的数据,包括5162名参与者(2241名男性),年龄在40-80岁,基线时无CVD(第三次检查,2006-2008),CVD(心肌梗死、冠心病死亡和中风)的发生。我们使用判别(C-statistic)校准(校准图和观察到的与期望的[O:E]比率)评估原始和区域重新校准模型的统计性能,并使用净效益(NB)评估临床性能,净效益是一种衡量真阳性的方法,会因假阳性的权重而受到惩罚,十进制值代表真阳性结果在总人口中的预期比例。结果:在10年随访期间,共发生307例CVD事件。CVD的累积发病率男性为9.0% (95% CI: 8.0-10.0%),女性为4.0%(3.0-5.0%)。对于基于实验室的模型,男性的c统计量为0.72(0.68-0.75),女性为0.83 (0.80-0.86);对于非实验室模型,分别为0.70(0.66-0.73)和0.82(0.79-0.86)。实验室模型低估了风险(O:E:男性=1.20[1.00-1.33],女性= 1.40[1.13-1.60])。在10%的风险阈值下,实验室模型男性的NB为0.03(0.02-0.04),女性的NB为0.01 (0.004-0.01);当阈值超过20%时,这些值变为零或负值。结论:与原始模型相比,区域重新校准模型提供的敏感性增加不足以抵消特异性的损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Performance of the revised World Health Organization cardiovascular disease risk prediction models for the Middle East and North Africa: a validation study in the Tehran Lipid and Glucose Study

Performance of the revised World Health Organization cardiovascular disease risk prediction models for the Middle East and North Africa: a validation study in the Tehran Lipid and Glucose Study

Objectives

We aimed to evaluate the performance of the revised World Health Organization (WHO) models in predicting the 10-year risk of cardiovascular disease (CVD) in Iran, as part of the Middle East and North Africa (MENA) region.

Study Design and Setting

We analyzed data from the Tehran Lipid and Glucose Study (TLGS), including 5162 participants (2241 men) aged 40–80 years without CVD at baseline (the third examination, 2006–2008), for the occurrence of CVD (myocardial infarction (MI), coronary heart disease (CHD) death, and stroke). We assessed the statistical performance of original and regionally recalibrated models, both laboratory- and non-laboratory-based, using discrimination (C-statistic) calibration (calibration plot and observed-to-expected[O:E] ratio) and clinical performance applying net benefit (NB), a measure of true positives (TP) penalized for a weight of false positives (FP), a decimal value representing the expected proportion of TP outcomes among total population.

Results

During the 10-year follow-up, 307 CVD events occurred. The cumulative incidence of CVD was 9.0% (95% CI: 8.0%–10.0%) in men and 4.0% (3.0%–5.0%) in women. For the laboratory-based model, the C-statistic was 0.72 (0.68–0.75) in men and 0.83 (0.80–0.86) in women; for the nonlaboratory-based model, it was 0.70 (0.66–0.73) and 0.82 (0.79–0.86) for men and women, respectively. The lab model underpredicted the risk (O:E = 1.20 [1.00–1.33] for men and 1.40 [1.13-1.60] for women). At the risk threshold of 10%, NB for the lab model was 0.03 (0.02–0.04) for men and 0.01 (0.004–0.01) for women; these values became zero or negative for thresholds over 20%. Regionally recalibrated models overestimated the risk (O:E < 1) and showed lower NB.

Conclusion

The loss of specificity was not sufficiently offset by the increase in sensitivity provided by the regionally recalibrated models compared to the original models.

Plain Language Summary

In this study, we assessed the performance of the World Health Organization (WHO) cardiovascular disease (CVD) risk models in Iran, which is part of the Middle East and North Africa (MENA) region. Regarding the statistical performance of the models, both the original and regionally recalibrated WHO models had good discriminative ability. Concerning calibration, another component of statistical performance, the original models underestimated the actual risk, while the recalibrated version overestimated it. Regarding the clinical performance of the models, both the original and regionally recalibrated versions were clinically useful at the risk threshold of 10%.
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来源期刊
Journal of Clinical Epidemiology
Journal of Clinical Epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
12.00
自引率
6.90%
发文量
320
审稿时长
44 days
期刊介绍: The Journal of Clinical Epidemiology strives to enhance the quality of clinical and patient-oriented healthcare research by advancing and applying innovative methods in conducting, presenting, synthesizing, disseminating, and translating research results into optimal clinical practice. Special emphasis is placed on training new generations of scientists and clinical practice leaders.
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