| 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: |
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| 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 |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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