Key result
Anxiety and depression link to incident CVD but improve risk prediction by only ~1%.
Why the study?
Traditional cardiovascular risk indicators only partially explain cardiovascular risks in depressed persons, but research on the added value of depression-related characteristics in predicting cardiovascular risks is scarce.
Do depression-related characteristics improve cardiovascular risk prediction beyond traditional risk indicators in depressed adults?
Population
1028 depressed Dutch adults without prevalent CVD
Comparison
Depression-related clinical and psychological characteristics tested against traditional cardiovascular risk indicators
Design
Longitudinal cohort study
Follow-up
Median 65.3 months
Authors
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Adds negligible value to traditional CVD risk models in depressed adults; leaves open whether mental health factors meaningfully improve prediction in prospective studies.
Cohort (n=1,028)
Yes
Do depression-related characteristics improve cardiovascular risk prediction beyond traditional risk indicators in depressed adults?
Anxiety and depressive symptom severity are associated with increased cardiovascular risk but add minimal predictive value to traditional risk algorithms in depressed patients.
Zutphen et al. (2023) conducted a cohort in Depression (n=1,028). Depression-related characteristics (anxiety and depressive symptom severity) vs. Traditional cardiovascular risk indicators was evaluated on Medication-confirmed self-reported CVD. Anxiety and depressive symptom severity were associated with incident CVD beyond traditional risk indicators, but only increased the c-statistic by 0.56 and 0.33 percentage points, respectively.
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