Why the study?
Most CVD prediction models assess long-term risk rather than the risk of short-term CVD onset.
Does the Dynamic Risk-based Early wArning Monitoring (DREAM) system accurately predict short-term CVD onset in adults without prior CVD?
Population
70,470 derivation and 81,205 validation Chinese adults aged 40–79 years without baseline CVD
Comparison
Dynamic risk score (DREAM system) vs long-term 10-year CVD risk alone
Design
Nested case–control derivation and retrospective cohort validation study
Authors
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Hypothesis-generating for dynamic EHR monitoring in primary prevention; prospective trials needed before clinical adoption.
Does the Dynamic Risk-based Early wArning Monitoring (DREAM) system accurately predict short-term CVD onset in adults without prior CVD?
A dynamic risk-based early warning monitoring system using real-time electronic health record data can predict short-term CVD onset, potentially improving population-based management efficiency.
Liu et al. (2021) studied this question.
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