Suppr超能文献

弗明汉姆高血压风险模型对中国农村人口的预测价值:来自辽宁省的结果。

Predictive value for the rural Chinese population of the Framingham hypertension risk model: results from Liaoning Province.

作者信息

Zheng Liqiang, Sun Zhaoqing, Zhang Xingang, Li Jue, Hu Dayi, Chen Jie, Sun Yingxian

机构信息

Department of Clinical Epidemiology, Library, Shengjing Hospital of China Medical University, Shenyang, P. R. China.

出版信息

Am J Hypertens. 2014 Mar;27(3):409-14. doi: 10.1093/ajh/hpt229. Epub 2013 Dec 5.

Abstract

BACKGROUND

A prediction model from the US Framingham Heart Study (FHS) population has been established to estimate an individual's risk of developing hypertension. However, this model has not been widely tested in other cohorts. In this study, we examined the predictive capability of the FHS prediction model in a rural Chinese population.

METHODS

A total of 24,434 rural Chinese adults aged ≥35 years, without prevalent hypertension, diabetes mellitus, stroke, and coronary heart disease at baseline, were followed for the incidence of hypertension. Standard clinical examinations of blood pressure, weight and height, smoking status, and parental history of hypertension were observed biennially.

RESULTS

The mean age was 47.9 (SD = 10.2) years, and 49.5% of subjects were women. During a median 4.8 years of follow-up, we recorded a total of 8,675 incident hypertension cases. The cumulative 2-year and 4-year hypertension incidence rates were 7.7% and 25.6%, respectively. The C statistics for the 2-year and 4-year incidences of hypertension were 0.537 (95% confidence interval (CI) = 0.524-0.550) and 0.610 (95% CI = 0.602-0.618) for the FHS model, respectively. The Hosmer-Lemeshow χ(2) test results for 2-year and 4-year incidence of hypertension were 2,287.7 (P < 0.0001) and 8,227.1 (P < 0.0001), respectively. Sensitivity analysis indicates that the FHS prediction model still has a poor performance, although the predictive ability was better than for the overall population.

CONCLUSIONS

The FHS hypertension prediction model is not a valid tool with which to estimate the risk of incidence of hypertension among the rural Chinese population. A new hypertension risk equation for the rural Chinese population is needed.

摘要

背景

美国弗明汉心脏研究(FHS)人群建立了一个预测模型,用于估计个体患高血压的风险。然而,该模型尚未在其他队列中广泛验证。在本研究中,我们检验了FHS预测模型在中国农村人群中的预测能力。

方法

共纳入24434名年龄≥35岁的中国农村成年人,基线时无高血压、糖尿病、中风和冠心病,随访高血压发病率。每两年进行一次血压、体重和身高、吸烟状况以及高血压家族史的标准临床检查。

结果

平均年龄为47.9(标准差=10.2)岁,49.5%为女性。在中位4.8年的随访期间,共记录到8675例高血压发病病例。2年和4年高血压累积发病率分别为7.7%和25.6%。FHS模型对2年和4年高血压发病率的C统计量分别为0.537(95%置信区间(CI)=0.524-0.550)和0.610(95%CI=0.602-0.618)。2年和4年高血压发病率的Hosmer-Lemeshow χ(2)检验结果分别为2287.7(P<0.0001)和8227.1(P<0.0001)。敏感性分析表明,FHS预测模型的表现仍然较差,尽管其预测能力优于总体人群。

结论

FHS高血压预测模型不是估计中国农村人群高血压发病风险的有效工具。需要一个针对中国农村人群的新的高血压风险方程。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验