A diagnostic prediction model for hypertension in Han and Yugur population from the China National Health Survey (CNHS).

ABSTRACT:

Background

The prevalence of hypertension is high among Chinese adults, thus, identifying non-hypertensive individuals at high risk for intervention will help to improve the efficiency of primary prevention strategies.

Methods

The cross-sectional data on 9699 participants aged 20 to 80 years were collected from the China National Health Survey in Gansu and Hebei provinces in 2016 to 2017, and they were nonrandomly split into the training set and validation set based on location. Multivariable logistic regression analysis was performed to develop the diagnostic prediction model, which was presented as a nomogram and a website with risk classification. Predictive performances of the model were evaluated using discrimination and calibration, and were further compared with a pre

SUBMITTER: Yu C 

PROVIDER: S-EPMC10228485 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature