Cardiovascular risk in patients with severe mental illness in Italy.
Adult
Aged
Bipolar Disorder
/ epidemiology
Cardiovascular Diseases
/ epidemiology
Female
Health Status
Heart Disease Risk Factors
Humans
Hypertension
/ epidemiology
Italy
/ epidemiology
Life Expectancy
Male
Mental Disorders
/ epidemiology
Metabolic Syndrome
/ epidemiology
Middle Aged
Risk Factors
Schizophrenia
/ epidemiology
Bipolar disorder
cardiovascular risk
schizophrenia
severe mental illness
Journal
European psychiatry : the journal of the Association of European Psychiatrists
ISSN: 1778-3585
Titre abrégé: Eur Psychiatry
Pays: England
ID NLM: 9111820
Informations de publication
Date de publication:
26 10 2020
26 10 2020
Historique:
pubmed:
27
10
2020
medline:
1
5
2021
entrez:
26
10
2020
Statut:
epublish
Résumé
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. 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. 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). In our study, women with SMI were consistently more at risk than the general population counterpart, even at younger age.
Sections du résumé
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.
Identifiants
pubmed: 33100262
doi: 10.1192/j.eurpsy.2020.94
pii: S0924933820000942
pmc: PMC7681153
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
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