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首页> 外文期刊>The journal of Tehran Heart Center. >Estimation of the 10-Year Risk of Cardiovascular Diseases: Using the SCORE, WHO/ISH, and Framingham Models in the Shahrekord Cohort Study in Southwestern Iran
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Estimation of the 10-Year Risk of Cardiovascular Diseases: Using the SCORE, WHO/ISH, and Framingham Models in the Shahrekord Cohort Study in Southwestern Iran

机译：估算了10年的心血管疾病风险：使用Shahrekord Cohort学习中Shahrekord Cohort学习中的得分，世卫组织/ ish和Framingham模型

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Background: Predicting the risk of cardiovascular diseases (CVDs) helps the management of high-risk individuals by the health system. We sought to determine the 10-year risk of CVDs in the Shahrekord Cohort Study (SCS).Methods: In this cross-sectional study based on the SCS in the southwest of Iran, the demographic, anthropometric, clinical, and laboratory data of 5152 persons recruited in the SCS by census method from 2016 to 2017 were used. R software was utilized to calculate the 10-year risk of CVDs according to the World Health Organization/International Society of Hypertension (WHO/ISH) chart, the Framingham Risk Score (FRS) model, and the Systematic Coronary Risk Evaluation (SCORE) model.Results: The mean age of the participants was 49.49±9.40 years, and 50.3% of them were female. According to the WHO/ISH chart, 94.1% of the participants were in the low-risk class, 4.1% in the moderate-risk class, and 0.4% in the high-risk class. Based on the FRS model, 72.2% of the participants were in the low-risk class, 18% in the middle-risk class, and 9.8% in the high-risk class. On the basis of the SCORE model for low-risk areas, 55.3% of the participants were in the low-risk class, 39.6% in the moderate-risk class, and 5.1% in the high-risk class. The agreement concerning risk estimation between the models was approximately 70%. Conclusion: The risk estimated in this study was higher than that in other similar studies. For monitoring risk trends over time, it is essential to nativize a valid risk function, including ethnicity and geographical characteristics, for the Iranian population.
机译：背景：预测心血管疾病（CVDS）的风险有助于卫生系统管理高危人员。我们试图确定Shahrekord Cohort研究（SCS）中CVDS的10年风险。方法：在这个基于伊朗西南部的SCS的横断面研究中，人口统计学，人体测量，临床和实验室数据为5152从2016年到2017年，人口普查法在SCS中招募的人员被使用。 R软件用于根据世界卫生组织/国际高血压学会（WHO / ISH）图表，FRAMINGHAM风险评分（FRS）模型以及系统冠状动脉风险评估（得分）模型（SCONE）模型（SCEST）模型的10年软件。结果：参与者的平均年龄为49.49±9.40岁，其中50.3％是女性。根据世卫组织/赛的图表，94.1％的参与者处于低风险阶层，中等风险阶级的4.1％，高风险班级为0.4％。基于FRS模型，72.2％的参与者在低风险阶级，中等风险阶级18％，高风险班级为9.8％。在低风险地区的分数模型的基础上，55.3％的参与者处于低风险阶级，中等风险阶层的39.6％，高风险阶级为5.1％。关于模型之间的风险估计的协议约为70％。结论：本研究估计的风险高于其他类似研究的风险。为了监测风险趋势随着时间的推移，必须为伊朗人口生长有效的风险职能，包括种族和地理特征。

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