当前位置： SCI文献检索 > JOURNAL OF HYPERTENSION期刊下所有文献 > Prediction models for cardiovascular disease risk in the hypertensive population: a systematic review.

Prediction models for cardiovascular disease risk in the hypertensive population: a systematic review.

Abstract：

OBJECTIVE:The aim of this study was to identify, describe, and evaluate the available cardiovascular disease risk prediction models developed or validated in the hypertensive population. METHODS:MEDLINE and the Web of Science were searched from database inception to March 2019, and all reference lists of included articles were reviewed. RESULTS:A total of 4766 references were screened, of which 18 articles were included in the review, presenting 17 prediction models specifically developed for hypertensive populations and 25 external validations. Among the 17 prediction models, most were constructed based on randomized trials in Europe or North America to predict the risk of fatal or nonfatal cardiovascular events. The most common predictors were classic cardiovascular risk factors such as age, diabetes, sex, smoking, and SBP. Of the 17 models, only one model was externally validated. Among the 25 external validations, C-statistics ranged from 0.58 to 0.83, 0.56 to 0.75, and 0.64 to 0.78 for models developed in the hypertensive population, the general population and other specific populations, respectively. Most of the development studies and validation studies had an overall high risk of bias according to PROBAST. CONCLUSION:There are a certain number of cardiovascular risk prediction models in patients with hypertension. The risk of bias assessment showed several shortcomings in the methodological quality and reporting in both the development and validation studies. Most models developed in the hypertensive population have not been externally validated. Compared with models developed for the general population and other specific populations, models developed for the hypertensive population do not display a better performance when validated among patients with hypertension. Research is needed to validate and improve the existing cardiovascular disease risk prediction models in hypertensive populations rather than developing completely new models.

journal_name

J Hypertens

journal_title

Journal of hypertension

authors

Cai R,Wu X,Li C,Chao J

doi

10.1097/HJH.0000000000002442

subject

Has Abstract

pub_date

2020-09-01 00:00:00

pages

1632-1639

issue

eissn

0263-6352

issn

1473-5598

journal_volume

pub_type

杂志文章

在线工具

Prediction models for cardiovascular disease risk in the hypertensive population: a systematic review.