Complete revascularization is associated with higher mortality in patients with ST-elevation myocardial infarction, multi-vessel disease and shock defined by hyperlactataemia: results from the Harefield Shock Registry incorporating explainable machine learning.
Cardiogenic shock
Machine learning
Revascularisation strategy
STEMI
XGBoost
Journal
European heart journal. Acute cardiovascular care
ISSN: 2048-8734
Titre abrégé: Eur Heart J Acute Cardiovasc Care
Pays: England
ID NLM: 101591369
Informations de publication
Date de publication:
25 Sep 2023
25 Sep 2023
Historique:
received:
17
01
2023
revised:
22
05
2023
accepted:
07
06
2023
medline:
27
9
2023
pubmed:
13
6
2023
entrez:
13
6
2023
Statut:
ppublish
Résumé
Revascularization strategy for patients with ST-elevation myocardial infarction (STEMI) and multi-vessel disease varies according to the patient's cardiogenic shock status, but assessing shock acutely can be difficult. This article examines the link between cardiogenic shock defined solely by a lactate of ≥2 mmol/L and mortality from complete vs. culprit-only revascularization in this cohort. Patients presenting with STEMI, multi-vessel disease without severe left main stem stenosis and a lactate ≥2 mmol/L between 2011 and 2021 were included. The primary endpoint was mortality at 30 days by revascularization strategy for shocked patients. Secondary endpoints were mortality at 1 year and over a median follow-up of 30 months. Four hundred and eight patients presented in shock. Mortality in the shock cohort was 27.5% at 30 days. Complete revascularization (CR) was associated with higher mortality at 30 days [odds ratio (OR) 2.1 (1.02-4.2), P = 0.043], 1 year [OR 2.4 (1.2-4.9), P = 0.01], and over 30 months follow-up [hazard ratio (HR) 2.2 (1.4-3.4), P < 0.001] compared with culprit lesion-only percutaneous coronary intervention (CLOP). Mortality was again higher in the CR group after propensity matching (P = 0.018) and inverse probability treatment weighting [HR 2.0 (1.3-3.0), P = 0.001]. Furthermore, explainable machine learning demonstrated that CR was behind only blood gas parameters and creatinine levels in importance for predicting 30-day mortality. In patients presenting with STEMI and multi-vessel disease in shock defined solely by a lactate of ≥2 mmol/L, CR is associated with higher mortality than CLOP.
Identifiants
pubmed: 37309061
pii: 7194742
doi: 10.1093/ehjacc/zuad062
pmc: PMC10519804
doi:
Substances chimiques
Lactates
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
615-623Subventions
Organisme : British Heart Foundation
ID : FS/19/73/34690 to I.C.
Pays : United Kingdom
Informations de copyright
© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.
Déclaration de conflit d'intérêts
Conflict of interest: None declared.
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