ArticleJournal of atherosclerosis and thrombosis2025
Development and Validation of a Cardiovascular Disease Risk Prediction Model for the Japanese Working Population: The Japan Epidemiology Collaboration on Occupational Health Study.
Article in Journal of atherosclerosis and thrombosis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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15 authors.
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Abstract
aimsThis study aimed to develop a cardiovascular disease (CVD) risk model using data from a large occupational cohort.
methodsA risk prediction model was developed using the routine health checkup data of 96,117 Japanese employees (84.0% men) who were 30-64 years of age and had no CVD at baseline. Cox proportional hazards regression models were employed to develop a risk model for assessing the 10-year CVD risk. Measures of discrimination and calibration were used to assess the predictive performance of the model and internal validation was used to examine potential overfitting.
resultsDuring a mean follow-up period of 6.7 years (range, 0.1-11.0 years), 422 cases of incident CVD were confirmed. The final model, which included predictor variables of age, smoking, diabetes, systolic blood pressure, and low- and high-density lipoprotein cholesterol levels, demonstrated a good predictive ability (Harrell's C-statistic, 0.796; 95% confidence interval, 0.775-0.817) with excellent calibration between observed and predicted values. Internal validation revealed minimal overfitting.
conclusionsThe developed model can accurately predict the 10-year CVD risk. Because it is based on routine health checkup data, the prediction model can be easily implemented in the workplace. Further studies are required to assess the external validity and transferability of the proposed CVD risk model.
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