Predicting Coronary Artery Disease in Primary Care: Development and Validation of a Diagnostic Risk Score for Major Ethnic Groups in Southeast Asia.

ABSTRACT:

Background

Coronary artery disease (CAD) risk prediction tools are useful decision supports. Their clinical impact has not been evaluated amongst Asians in primary care.

Objective

We aimed to develop and validate a diagnostic prediction model for CAD in Southeast Asians by comparing it against three existing tools.

Design

We prospectively recruited patients presenting to primary care for chest pain between July 2013 and December 2016. CAD was diagnosed at tertiary institution and adjudicated. A logistic regression model was built, with validation by resampling. We validated the Duke Clinical Score (DCS), CAD Consortium Score (CCS), and Marburg Heart Score (MHS).

Main measures

Discrimination and calibration quantify model performance, while net reclassification

SUBMITTER: Wang ZS 

PROVIDER: S-EPMC8175488 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature