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Cardiovascular risk in patients with severe mental illness in Italy

Authors :
Virginio Salvi
Andrea Aguglia
Francesco Barone-Adesi
Davide Bianchi
Chiara Donfrancesco
Filippo Dragogna
Luigi Palmieri
Gianluca Serafini
Mario Amore
Claudio Mencacci
Source :
European Psychiatry, Vol 63 (2020)
Publication Year :
2020
Publisher :
Cambridge University Press, 2020.

Abstract

Abstract Background Patients with severe mental illness (SMI), such as schizophrenia or bipolar disorders, are more frequently affected by metabolic syndrome and cardiovascular (CV) diseases than the general population, with a significant reduction in life expectancy. Beyond metabolic syndrome, quantifying the risk of CV morbidity in the long-term may help clinicians to put in place preventive strategies. In this study, we assessed 10-year CV risk in patients with SMI and healthy individuals using an algorithm validated on the Italian general population. Methods Patients aged 35–69 years diagnosed with SMI were consecutively recruited from psychiatric acute care units. Single CV risk factors were assessed, and 10-year CV risk calculated by means of the CUORE Project 10-year CV risk algorithm, based on the combination of the following risk factors: age, systolic blood pressure, total and high-density lipoprotein cholesterol, diabetes, smoking habit, and hypertensive treatment. Patients’ data were compared with those from the general population. The 10-year CV risk was log-transformed, and multivariable linear regression was used to estimate mean ratios, adjusting for age, and education. Results Three hundred patients and 3,052 controls were included in the analysis. Among men, the 10-year CV risk score was very similar between patients with SMI and the general population (mean ratio [MR]: 1.02; 95%CI 0.77–1.37), whereas a 39% increase in 10-year CV risk was observed in women with SMI compared to the general population (MR: 1.39; 95%CI 1.16–1.66). Conclusions In our study, women with SMI were consistently more at risk than the general population counterpart, even at younger age.

Details

Language :
English
ISSN :
09249338 and 17783585
Volume :
63
Database :
Directory of Open Access Journals
Journal :
European Psychiatry
Publication Type :
Academic Journal
Accession number :
edsdoj.4e43b13212754bbc8cfd6a90f07e2228
Document Type :
article
Full Text :
https://doi.org/10.1192/j.eurpsy.2020.94