Design of a new mortality indicator in acute coronary syndrome on admission to the Intensive Care Unit.
Acute coronary syndrome
Estratificación
Intensive care unit
Mortalidad
Mortality
Neural networks
Redes neuronales
Stratification
Síndrome coronario agudo
Unidad de cuidados intensivos
Journal
Medicina intensiva
ISSN: 2173-5727
Titre abrégé: Med Intensiva (Engl Ed)
Pays: Spain
ID NLM: 101717568
Informations de publication
Date de publication:
Sep 2023
Sep 2023
Historique:
received:
16
11
2022
revised:
23
01
2023
accepted:
02
02
2023
medline:
29
8
2023
pubmed:
20
4
2023
entrez:
19
04
2023
Statut:
ppublish
Résumé
To design a mortality indicator in acute coronary syndrome (ACS) in the intensive care unit (ICU). A multicenter, observational descriptive study was carried out. Patients with ACS admitted to the ICUs included in the ARIAM-SEMICYUC registry between January 2013 and April 2019. None. Demographic parameters, time of access to the healthcare system, and clinical condition. Revascularization therapy, drugs and mortality were analyzed. Cox regression analysis was performed, followed by the design of a neural network. A receiver operating characteristic curve (ROC) was plotted to calculate the power of the new score. Lastly, the clinical utility or relevance of the ARIAM indicator (ARIAM' A total of 17,258 patients were included in the study, with a mortality rate of 3.5% (n = 605) at discharge from the ICU. The variables showing statistical significance (P < .001) were entered into the supervised predictive model, an artificial neural network. The new ARIAM' A new mortality indicator for ACS in the ICU can be established that is more accurate and reproducible, and periodically updated.
Identifiants
pubmed: 37076405
pii: S2173-5727(23)00028-0
doi: 10.1016/j.medine.2023.03.008
pii:
doi:
Types de publication
Multicenter Study
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
501-515Informations de copyright
Copyright © 2023 Elsevier España, S.L.U. and SEMICYUC. All rights reserved.