Association between living alone and all-cause mortality of young and middle-aged patients with acute myocardial infarction: analysis of the China Acute Myocardial Infarction (CAMI) registry.

All-cause mortality Living alone Myocardial Infarction Prognosis

Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
02 Jan 2024
Historique:
received: 29 08 2023
accepted: 14 12 2023
medline: 4 1 2024
pubmed: 4 1 2024
entrez: 3 1 2024
Statut: epublish

Résumé

Lack of social support is a known predictor of the prognosis after acute myocardial infarction (AMI). Although as a common factor associated with social support, there are limited data on long-term prognostic impact of living status in young and middle-aged patients with AMI. We analyzed data from the China Acute Myocardial Infarction (CAMI) Registry, consecutive AMI young and middle-aged patients admitted at 108 hospitals in China between January 2013 and September 2014 were included. Eligible patients were assigned to living alone and not living alone groups based on their living status. The primary endpoint was 2-year all-cause mortality. The secondary endpoints included in-hospital mortality and 2-year major adverse cardiac and cerebrovascular events (MACCEs; a composite of all-cause mortality, MI, or stroke). Multilevel logistic and multilevel Cox regression models were used to evaluate the effect of living status on short-term and long-term outcomes. A total of 8307 consecutive AMI young and middle-aged patients were included, 192 (2.3%) patients were living alone. Of the analyzed patients, living alone was associated with 2-year all-cause mortality and MACCEs among all analyzed patients after multivariate adjustment (adjusted hazard ratio [HR] = 2.171 [1.210-3.895], P = 0.009; adjusted HR = 2.169 [1.395-3.370], P = 0.001), but not with poorer in-hospital mortality. The analysis suggested that living alone was associated with both 2-year all-cause mortality and MACCEs in AMI young and middle-aged patients but did not show an extra effect on the in-hospital mortality after covariate adjustment. Trial registration number: NCT01874691; Registered 31 October 2012.

Sections du résumé

BACKGROUND BACKGROUND
Lack of social support is a known predictor of the prognosis after acute myocardial infarction (AMI). Although as a common factor associated with social support, there are limited data on long-term prognostic impact of living status in young and middle-aged patients with AMI.
METHODS METHODS
We analyzed data from the China Acute Myocardial Infarction (CAMI) Registry, consecutive AMI young and middle-aged patients admitted at 108 hospitals in China between January 2013 and September 2014 were included. Eligible patients were assigned to living alone and not living alone groups based on their living status. The primary endpoint was 2-year all-cause mortality. The secondary endpoints included in-hospital mortality and 2-year major adverse cardiac and cerebrovascular events (MACCEs; a composite of all-cause mortality, MI, or stroke). Multilevel logistic and multilevel Cox regression models were used to evaluate the effect of living status on short-term and long-term outcomes.
RESULTS RESULTS
A total of 8307 consecutive AMI young and middle-aged patients were included, 192 (2.3%) patients were living alone. Of the analyzed patients, living alone was associated with 2-year all-cause mortality and MACCEs among all analyzed patients after multivariate adjustment (adjusted hazard ratio [HR] = 2.171 [1.210-3.895], P = 0.009; adjusted HR = 2.169 [1.395-3.370], P = 0.001), but not with poorer in-hospital mortality.
CONCLUSIONS CONCLUSIONS
The analysis suggested that living alone was associated with both 2-year all-cause mortality and MACCEs in AMI young and middle-aged patients but did not show an extra effect on the in-hospital mortality after covariate adjustment.
TRIAL REGISTRATION BACKGROUND
Trial registration number: NCT01874691; Registered 31 October 2012.

Identifiants

pubmed: 38166780
doi: 10.1186/s12889-023-17486-7
pii: 10.1186/s12889-023-17486-7
doi:

Banques de données

ClinicalTrials.gov
['NCT01874691']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

14

Subventions

Organisme : National Key Research and Development Program of China
ID : 2022YFC2009700, 2022YFC2009706
Organisme : Clinical and Translational Medical Research, Central Public Welfare Research of Chinese Academy of Medical Sciences
ID : 2019xk320061, 2022-I2M-C&T-B-050
Organisme : Natural Science Foundation of Beijing Municipality
ID : 7222139
Organisme : Clinical research of central high-level hospitals
ID : 2023-GSP-GG-32
Organisme : 2th Five-year National Science and Technology Support Plan of the Scientific and Technological Department of China
ID : 2011BAI11B02

Informations de copyright

© 2023. The Author(s).

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Auteurs

Yu Jiang (Y)

Center for Coronary Heart Disease, Department of Cardiology, National Center for Cardiovascular Diseases of China, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Rd, Beijing, 100037, China.

Jin-Gang Yang (JG)

Center for Coronary Heart Disease, Department of Cardiology, National Center for Cardiovascular Diseases of China, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Rd, Beijing, 100037, China.

Hai-Yan Qian (HY)

Center for Coronary Heart Disease, Department of Cardiology, National Center for Cardiovascular Diseases of China, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Rd, Beijing, 100037, China. ahqhy712@163.com.

Yue-Jin Yang (YJ)

Center for Coronary Heart Disease, Department of Cardiology, National Center for Cardiovascular Diseases of China, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Rd, Beijing, 100037, China. yangyjfw@126.com.

Classifications MeSH