Using population-wide electronic health records for timely contemporary assessment of cardiovascular disease risk prediction model performance: COVID-19 impact on the SCORE2 models

Carmen Petitjean; Spencer Keene; Thomas Bolton; Alexia Sampri; Geneviève Cézard; S H Y Ip; Fionna Chalmers; Anna J. Stevenson; Stelios Boulitsakis Logothetis; Spiros Denaxas; Kamlesh Khunti; Elena Raffetti; Lois G. Kim; Naveed Sattar; S. R. Wild; Emanuele Di Angelantonio; Stephen Kaptoge; A. Jamie Wood; Lisa Pennells

doi:10.1093/eurjpc/zwag179

Key Points

This analysis aims to assess the performance of cardiovascular disease risk prediction models in light of the COVID-19 pandemic.
Utilized population-wide electronic health records for assessment
Evaluated SCORE2-FOMs for calibration and discrimination
Conducted analysis of short-term trends in cardiovascular disease
SCORE2-FOMs demonstrated good calibration
SCORE2-FOMs showed strong discrimination
No adaptation needed for models despite COVID-19 impacts

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Implication

Analysis evaluates cardiovascular disease risk models during COVID-19, indicating no need for adaptation.

Abstract

The SCORE2-FOMs demonstrated good calibration and discrimination, suggesting that no adaptation is needed in response to the COVID-19 pandemic. Short-term EHRs provide a valuable resource for timely contemporary risk model validation and, if necessary, for adaptation according to shifts in CVD trends.

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Petitjean et al. (2026) studied this question.

synapsesocial.com/papers/69cb64f0e6a8c024954b9056 https://doi.org/10.1093/eurjpc/zwag179

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Using population-wide electronic health records for timely contemporary assessment of cardiovascular disease risk prediction model performance: COVID-19 impact on the SCORE2 models

Key Points

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Implication

Abstract

Discussion

Cite This Study

Using population-wide electronic health records for timely contemporary assessment of cardiovascular disease risk prediction model performance: COVID-19 impact on the SCORE2 models

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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