Background: Accuracy of Joint British Society calculator3 (JBS3) cardiovascular (CV)
risk assessment tool may vary across the Indian states, which is not verified in south Indian, Kerala
Objectives: To evaluate the traditional risk factors (TRFs) based CV risk estimation done in Kerala
Methods: This cross-sectional study uses details of 977 subjects aged between 30 and 80 years,
recorded from the medical archives of clinical locations at Ernakulum district, in Kerala. The risk
categories used are Low (<7.5%), Intermediate (≥7.5% and <20%), and High (≥20%) 10-year risk
classifications. The lifetime classifications are Low lifetime (≤39%) and High lifetime (≥40%) are
used. The study evaluated using statistical analysis; the Chi-square test was used for dependent and
categorical CV risk variable comparisons. A multivariate ordinal logistic regression analysis for the
10-year risk and odds logistic regression analysis for the lifetime risk model identified the
significant risk variables.
Results: The mean age of the study population is 52.56±11.43 years. With 39.1% in low, 25.0% in
intermediate, and 35.9% has high 10-year risk. Low lifetime risk with 41.1%, the high lifetime risk
has 58.9% subjects. The intermediate 10-year risk category shows the highest reclassifications to
High lifetime risk. The Hosmer-Lemeshow goodness-of-fit statistics indicates a good model fit.
Conclusion: Timely interventions using risk predictions can aid in appropriate therapeutic and lifestyle
modifications useful for primary prevention. Precaution to avoid short-term incidences and
reclassifications to a high lifetime risk can reduce the CVD related mortality rates.