30-day Major Adverse Cardiac Events (MACE) after elective bariatric surgery: the development and validation of the Bari-MACE clinical predictive tool.


Journal

Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery
ISSN: 1878-7533
Titre abrégé: Surg Obes Relat Dis
Pays: United States
ID NLM: 101233161

Informations de publication

Date de publication:
Mar 2022
Historique:
received: 02 08 2021
revised: 21 10 2021
accepted: 05 12 2021
pubmed: 13 1 2022
medline: 29 3 2022
entrez: 12 1 2022
Statut: ppublish

Résumé

Major adverse cardiac events (MACEs) after bariatric surgery are poorly understood yet are thought to be associated with significant morbidity and mortality. To evaluate the prevalence and clinical impact of short-term, 30-day MACE and to develop a pragmatic clinical predictive MACE scoring tool. This retrospective study was conducted using all the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP)-accredited center data from 2015 to 2019. Primary Roux-en-Y and sleeve gastrectomy procedures were included, and prior revisional surgeries and emergency surgeries were excluded. Multivariable logistic regression modeling was used to examine the risk factors associated with 30-day MACE. Using forward regression, a Bari-MACE clinical prediction model was generated. A total of 750,498 patients were included in our analysis of which 959 (.1%) experienced a MACE. MACE patients were older (54.0 ± 11.5 yr versus 44.4 ± 12.0 yr, P < .0001), and comprised a higher proportion of males (36.3% versus 20.4%, P < .0001) and patients of White racial status (74.0% versus 71.6%, P < .0001). The MACE cohort also had a higher body mass index (46.6 ± 9.7 kg/m Thirty-day major adverse cardiac events after elective bariatric surgery are rare, occurring in approximately .1% of all patients, but are associated with significant morbidity and mortality. Using the MBSAQIP, we developed a Bari-MACE clinical predictive tool to risk-stratify patients with the aim to better guide perioperative care and foster improved surgical outcomes.

Sections du résumé

BACKGROUND BACKGROUND
Major adverse cardiac events (MACEs) after bariatric surgery are poorly understood yet are thought to be associated with significant morbidity and mortality.
OBJECTIVES OBJECTIVE
To evaluate the prevalence and clinical impact of short-term, 30-day MACE and to develop a pragmatic clinical predictive MACE scoring tool.
SETTING METHODS
This retrospective study was conducted using all the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP)-accredited center data from 2015 to 2019.
METHODS METHODS
Primary Roux-en-Y and sleeve gastrectomy procedures were included, and prior revisional surgeries and emergency surgeries were excluded. Multivariable logistic regression modeling was used to examine the risk factors associated with 30-day MACE. Using forward regression, a Bari-MACE clinical prediction model was generated.
RESULTS RESULTS
A total of 750,498 patients were included in our analysis of which 959 (.1%) experienced a MACE. MACE patients were older (54.0 ± 11.5 yr versus 44.4 ± 12.0 yr, P < .0001), and comprised a higher proportion of males (36.3% versus 20.4%, P < .0001) and patients of White racial status (74.0% versus 71.6%, P < .0001). The MACE cohort also had a higher body mass index (46.6 ± 9.7 kg/m
CONCLUSION CONCLUSIONS
Thirty-day major adverse cardiac events after elective bariatric surgery are rare, occurring in approximately .1% of all patients, but are associated with significant morbidity and mortality. Using the MBSAQIP, we developed a Bari-MACE clinical predictive tool to risk-stratify patients with the aim to better guide perioperative care and foster improved surgical outcomes.

Identifiants

pubmed: 35016838
pii: S1550-7289(21)00588-8
doi: 10.1016/j.soard.2021.12.008
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

357-364

Informations de copyright

Copyright © 2021 American Society for Bariatric Surgery. Published by Elsevier Inc. All rights reserved.

Auteurs

Valentin Mocanu (V)

Department of Surgery, University of Alberta, Edmonton, Alberta, Canada. Electronic address: vmocanu@ualberta.ca.

Jerry T Dang (JT)

Department of Surgery, University of Alberta, Edmonton, Alberta, Canada.

Megan Delisle (M)

Department of Surgery, University of Manitoba, Winnipeg, Manitoba, Canada.

Noah J Switzer (NJ)

Department of Surgery, University of Alberta, Edmonton, Alberta, Canada.

Daniel W Birch (DW)

Department of Surgery, University of Alberta, Edmonton, Alberta, Canada.

Shahzeer Karmali (S)

Department of Surgery, University of Alberta, Edmonton, Alberta, Canada.

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Classifications MeSH