Cardiovascular risk assessment methods yield unequal risk predictions: a large cross-sectional study in psychiatric secondary care outpatients

Autor: Davy Quadackers, Edith Liemburg, Fionneke Bos, Bennard Doornbos, Arne Risselada, PHAMOUS investigators, Marjolein Berger, Ellen Visser, Danielle Cath
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: BMC Psychiatry, Vol 23, Iss 1, Pp 1-13 (2023)
Druh dokumentu: article
ISSN: 1471-244X
DOI: 10.1186/s12888-023-05022-1
Popis: Abstract Background Patients with a mental illness are more likely to develop, and die from, cardiovascular diseases (CVD), necessitating optimal CVD-risk (CVR)-assessment to enable early detection and treatment. Whereas psychiatrists use the metabolic syndrome (MetS)-concept to estimate CVR, GPs use absolute risk-models. Additionally, two PRIMROSE-models have been specifically designed for patients with severe mental illness. We aimed to assess the agreement in risk-outcomes between these CVR-methods. Methods To compare risk-outcomes across the various CVR-methods, we used somatic information of psychiatric outpatients from the PHAMOUS-, and MOPHAR-database, aged 40–70 years, free of past or current CVD and diabetes. We investigated: (1) the degree-of-agreement between categorical assessments (i.e. MetS-status vs. binary risk-categories); (2) non-parametric correlations between the number of MetS-criteria and absolute risks; and (3) strength-of-agreement between absolute risks. Results Seven thousand twenty-nine measurements of 3509 PHAMOUS-patients, and 748 measurements of 748 MOPHAR-patients, were included. There was systematic disagreement between the categorical CVR-assessments (all p
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