Performance of non-laboratory Framingham risk scores using self-reported data for remote cardiovascular risk assessment.

ABSTRACT: Traditional cardiovascular disease (CVD) risk scores, such as the Framingham Risk Score (FRS), rely on laboratory and clinical measurements often unavailable in large-scale remote health surveys. Validated tools using self-reported data could expand the feasibility of risk stratification in resource-limited settings. To assess the discriminatory capacity and agreement of adapted FRS models using only self-reported data, compared to the original FRS based on clinical and laboratory inputs. This cross-sectional study used data from 6,966 Brazilian adults aged 30-74 years from the 2013 National Health Survey. Three FRS models without laboratory inputs were evaluated: FRS-BMI (with measured BMI), FRS-BMI-HwT (using self-reported BMI and hypertension diagnosis with treatment data), and FRS-BMI-

SUBMITTER: de Menezes-Junior LAA 

PROVIDER: S-EPMC12663292 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature