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June 20, 2023European Journal of Preventive Cardiology31 citationsOpen Access

The relevance of competing risk adjustment in cardiovascular risk prediction models for clinical practice

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SHSteven H J HagemanJDJannick A N DorresteijnLPLisa Pennells

Structured PICO

Does competing risk adjustment in cardiovascular risk prediction models alter absolute risk predictions in high-risk populations?

P
Population
High-risk populations undergoing cardiovascular risk prediction
I
Intervention
Cardiovascular risk prediction models adjusted for competing risks
C
Comparator
Cardiovascular risk prediction models unadjusted for competing risks
O
Outcome
Accurate prediction of absolute risks

Competing risk adjustment must be considered in cardiovascular risk prediction models aiming to accurately predict absolute risks, especially in high-risk populations.

Abstract

Individual predictions from the model unadjusted for competing risks were higher, reflecting the different interpretations of both models. For models aiming to accurately predict absolute risks, especially in high-risk populations, competing risk adjustment must be considered.

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Cite This Study

Hageman et al. (2023) studied this question.

synapsesocial.com/papers/69d79277d84d071b73f308a3https://doi.org/10.1093/eurjpc/zwad202
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