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心血管风险分层工具选择的模糊性:来自印度北部农村人口的证据。

Ambiguity about Selection of Cardiovascular Risk Stratification Tools: Evidence from a North Indian Rural Population.

作者信息

Singh Tarundeep, Pilania Manju, Jat Gopal Singh, Kumar Rajesh

机构信息

Department of Community Medicine, School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Department of Preventive and Social Medicine, RUHS College of Medical Sciences, Jaipur, Rajasthan, India.

出版信息

Indian J Community Med. 2018 Jul-Sep;43(3):170-174. doi: 10.4103/ijcm.IJCM_255_17.

Abstract

BACKGROUND

Several nonlaboratory based cardiovascular disease (CVD) risk scoring tools are available for resource-limited settings, but the performance of these tools remains to be established in Indian population. This study aimed to assess and compare the performance of the World Health Organization (WHO)/International Society for Hypertension (ISH) risk prediction chart and the Framingham Risk Score (FRS) calculator in an Indian setting.

MATERIALS AND METHODS

This cross-sectional study was carried out among 283 participants aged 30-74 years who attended screening camps in the rural area of Punjab from October to December 2015. Nonlaboratory-based WHO/ISH risk prediction chart for South-East Asia Region and FRS calculator was used to assess the 10-year risk of cardiovascular event. Chi-square test for trend and quadratic weighted kappa were used for analysis.

RESULTS

Of total participants, 67.1% were female. Mean age of the study participants was 52.1 (standard deviation ± 11.6) years. Using the WHO/ISH risk prediction chart, 11.3% and 4.9% of the participants were found to have high and very high risk, respectively, whereas, FRS calculator predicted high risk in 13.8% and very high risk in 12.0% for developing CVD in next 10 years. Agreement level between two risk prediction tools was good (67.8%).

CONCLUSION

Although the good agreement was seen between WHO/ISH risk prediction chart and FRS calculator, the proportions of participants having a high and very high risk of CVD identified by these risk prediction tools are significantly different. In resource constraint setting like India, CVD risk prediction tools should be validated for local population by prospective cohort studies to ensure judicious use of resources.

摘要

背景

有几种基于非实验室检测的心血管疾病(CVD)风险评分工具可用于资源有限的环境,但这些工具在印度人群中的性能仍有待确定。本研究旨在评估和比较世界卫生组织(WHO)/国际高血压学会(ISH)风险预测图表和弗明汉风险评分(FRS)计算器在印度环境中的性能。

材料与方法

这项横断面研究于2015年10月至12月在旁遮普农村地区参加筛查营的283名30 - 74岁参与者中进行。使用东南亚区域基于非实验室检测的WHO/ISH风险预测图表和FRS计算器来评估心血管事件的10年风险。采用趋势卡方检验和二次加权kappa进行分析。

结果

在所有参与者中,67.1%为女性。研究参与者的平均年龄为52.1(标准差±11.6)岁。使用WHO/ISH风险预测图表,分别有11.3%和4.9%的参与者被发现具有高风险和极高风险,而FRS计算器预测在未来10年发生CVD的高风险为13.8%,极高风险为12.0%。两种风险预测工具之间的一致性水平良好(67.8%)。

结论

尽管WHO/ISH风险预测图表和FRS计算器之间显示出良好的一致性,但这些风险预测工具识别出的具有高CVD风险和极高CVD风险的参与者比例存在显著差异。在像印度这样资源有限的环境中,CVD风险预测工具应通过前瞻性队列研究针对当地人群进行验证,以确保资源的合理使用。

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