Background The majority of global cardiovascular disease (CVD) burden falls on people
living in low-and middle-income countries (LMICs). In order to reduce preventable CVD …

Introduction Cardiovascular disease (CVD) prevalence is increasing in low-and middle-
income countries. Total risk assessment is key to prevention. Methods Studies and …

Background Cardiovascular disease contributes substantially to the non-communicable
disease (NCD) burden in low-income and middle-income countries, which also often have …

Objective To evaluate the performance of the non-laboratory INTERHEART risk score (NL-
IHRS) to predict incident cardiovascular disease (CVD) across seven major geographic …

Background Primary prevention of cardiovascular disease (CVD), by identifying individuals
at risk is a well-established, but costly strategy when based on measurements that depend …

This study developed an office-based cardiovascular risk calculator using a machine
learning (ML) algorithm that utilized a focused carotid ultrasound. The design of this study …

In low-resource settings, a physician is not always available. We recently demonstrated that
community health workers—instead of physicians or nurses—can efficiently screen adults …

Background Validated absolute risk equations are currently recommended as the basis of
cardiovascular disease (CVD) risk stratification in prevention and control strategies …

Background Cost-effective primary prevention of cardiovascular disease (CVD) in low-and
middle-income countries requires accurate risk assessment. Laboratory-based risk tools …

Aims We compared the performance of cardiovascular risk prediction tools in rural India.
Methods and results We applied the World Health Organization Risk Score (WHO-RS) tools …