TY - JOUR
T1 - Cardiovascular risk in patients with severe mental illness in Italy
AU - Salvi, Virginio
AU - Aguglia, Andrea
AU - Barone-Adesi, Francesco
AU - Bianchi, Davide
AU - Donfrancesco, Chiara
AU - Dragogna, Filippo
AU - Palmieri, Luigi
AU - Serafini, Gianluca
AU - Amore, Mario
AU - Mencacci, Claudio
N1 - Copyright:
This record is sourced from MEDLINE/PubMed, a database of the U.S. National Library of Medicine
PY - 2020/10/26
Y1 - 2020/10/26
N2 - 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.
AB - 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.
KW - Bipolar disorder
KW - cardiovascular risk
KW - schizophrenia
KW - severe mental illness
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U2 - 10.1192/j.eurpsy.2020.94
DO - 10.1192/j.eurpsy.2020.94
M3 - Article
C2 - 33100262
AN - SCOPUS:85096203043
VL - 63
SP - e96
JO - Psychiatrie et Psychobiologie
JF - Psychiatrie et Psychobiologie
SN - 0924-9338
IS - 1
ER -