Short- and long-term mortality following acute medical admission.
Journal
QJM : monthly journal of the Association of Physicians
ISSN: 1460-2393
Titre abrégé: QJM
Pays: England
ID NLM: 9438285
Informations de publication
Date de publication:
23 Oct 2023
23 Oct 2023
Historique:
received:
12
06
2023
revised:
11
07
2023
pubmed:
1
8
2023
medline:
1
8
2023
entrez:
1
8
2023
Statut:
ppublish
Résumé
Short-term in-hospital mortality following acute medical admission has been widely investigated. Longer term mortality, particularly out-of-hospital mortality, has been less well studied. The aim of this study is to evaluate short- and long-term mortality, and predictors of such, following acute medical admission. Retrospective database study. We evaluated all acute medical admissions to our institution over 10 years (2002-11) with a minimum of a further 10 years follow-up to 2021 using the Irish National Death Register. Predictors of 30-day in-hospital and long-term mortality were analysed with logistic and Cox regression, with loss of life years estimated. The 2002-11 cohort consisted of 62 184 admissions in 35 140 patients. 30-Day in hospital mortality (n = 3646) per patient was 10.4% and per admission was 5.9%. There were an additional 11 440 longer-term deaths by 2021-total mortality was 15 086 (42.9%). Deaths post hospital discharge had median age at admission of 75.4 years [interquartile range (IQR) 63.7, 82.8] and died at median age of 80 years (IQR 69, 87). The half-life of survival following admission was 195 months-representing a short fall of 8 life years (32.9%) compared with the projected population reference of 24.3 years. Age [odds ratio (OR) 1.73 (95% confidence interval (CI) 1.64, 1.81)], acute illness severity score [OR 1.39 (95% CI 1.36, 1.43)] and comorbidity score [OR 1.09 (95% CI 1.08, 1.10)] predicted long-term mortality. Similar factors influence both short- and long-term mortality following acute medical admission, the magnitude of effect is attenuated over time.
Sections du résumé
BACKGROUND
BACKGROUND
Short-term in-hospital mortality following acute medical admission has been widely investigated. Longer term mortality, particularly out-of-hospital mortality, has been less well studied.
AIM
OBJECTIVE
The aim of this study is to evaluate short- and long-term mortality, and predictors of such, following acute medical admission.
DESIGN
METHODS
Retrospective database study.
METHODS
METHODS
We evaluated all acute medical admissions to our institution over 10 years (2002-11) with a minimum of a further 10 years follow-up to 2021 using the Irish National Death Register. Predictors of 30-day in-hospital and long-term mortality were analysed with logistic and Cox regression, with loss of life years estimated.
RESULTS
RESULTS
The 2002-11 cohort consisted of 62 184 admissions in 35 140 patients. 30-Day in hospital mortality (n = 3646) per patient was 10.4% and per admission was 5.9%. There were an additional 11 440 longer-term deaths by 2021-total mortality was 15 086 (42.9%). Deaths post hospital discharge had median age at admission of 75.4 years [interquartile range (IQR) 63.7, 82.8] and died at median age of 80 years (IQR 69, 87). The half-life of survival following admission was 195 months-representing a short fall of 8 life years (32.9%) compared with the projected population reference of 24.3 years. Age [odds ratio (OR) 1.73 (95% confidence interval (CI) 1.64, 1.81)], acute illness severity score [OR 1.39 (95% CI 1.36, 1.43)] and comorbidity score [OR 1.09 (95% CI 1.08, 1.10)] predicted long-term mortality.
CONCLUSION
CONCLUSIONS
Similar factors influence both short- and long-term mortality following acute medical admission, the magnitude of effect is attenuated over time.
Identifiants
pubmed: 37527010
pii: 7234622
doi: 10.1093/qjmed/hcad181
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
850-854Informations de copyright
© The Author(s) 2023. Published by Oxford University Press on behalf of the Association of Physicians. All rights reserved. For permissions, please email: journals.permissions@oup.com.