Detailed perioperative risk among patients with extreme obesity undergoing nonbariatric general surgery.


Journal

Surgery
ISSN: 1532-7361
Titre abrégé: Surgery
Pays: United States
ID NLM: 0417347

Informations de publication

Date de publication:
09 2020
Historique:
received: 03 12 2019
revised: 28 02 2020
accepted: 21 03 2020
pubmed: 19 5 2020
medline: 12 11 2020
entrez: 19 5 2020
Statut: ppublish

Résumé

The obesity epidemic has spread rapidly across the United States. Although overweight and obese patients have a paradoxically lower risk for postoperative morbidity and mortality, the risks associated with extreme classes of obesity (morbid obesity, super obesity, and super-super obesity) have not been described. We queried the National Surgical Quality Improvement Program database from 2012 to 2016. Of 1,815,251 surgical cases, there were 3,946 vascular cases, 237,777 emergency procedures, and 75,177 cases with missing data that were removed. The remaining 1,378,711 cases were included in this analysis. Multivariable linear and logistic regression was performed to assess the impact of body mass index on postoperative outcomes. Patients within the super obesity and super-super obesity groups had the highest procedure-adjusted mortality risk among all body mass index classes (odds ratio = 2.31 and 2.63, respectively). Morbid obesity and underweight groups had moderate risk (odds ratio = 1.37 and 1.88, respectively), while those in the overweight and obesity class I and II cohorts had improved or equivocal mortality risk compared to normal body mass index class patients. Risk-adjusted and unadjusted multivariable models demonstrated that extreme obesity classes (morbid obesity, super obesity, and super-super obesity) have a graduated escalation of perioperative morbidity, infectious, and critical care complications. Further detailing extreme obesity-related risk beyond the obesity class III umbrella is necessary for accurate risk prediction, especially with the rising prevalence of elective nonbariatric surgery in this population. Preoperative risk assessment tools should consider subgroup risk adjustment to delineate true postoperative complication risk, facilitate patient education, and address modifiable risk factors before surgery.

Sections du résumé

BACKGROUND
The obesity epidemic has spread rapidly across the United States. Although overweight and obese patients have a paradoxically lower risk for postoperative morbidity and mortality, the risks associated with extreme classes of obesity (morbid obesity, super obesity, and super-super obesity) have not been described.
METHODS
We queried the National Surgical Quality Improvement Program database from 2012 to 2016. Of 1,815,251 surgical cases, there were 3,946 vascular cases, 237,777 emergency procedures, and 75,177 cases with missing data that were removed. The remaining 1,378,711 cases were included in this analysis. Multivariable linear and logistic regression was performed to assess the impact of body mass index on postoperative outcomes.
RESULTS
Patients within the super obesity and super-super obesity groups had the highest procedure-adjusted mortality risk among all body mass index classes (odds ratio = 2.31 and 2.63, respectively). Morbid obesity and underweight groups had moderate risk (odds ratio = 1.37 and 1.88, respectively), while those in the overweight and obesity class I and II cohorts had improved or equivocal mortality risk compared to normal body mass index class patients. Risk-adjusted and unadjusted multivariable models demonstrated that extreme obesity classes (morbid obesity, super obesity, and super-super obesity) have a graduated escalation of perioperative morbidity, infectious, and critical care complications.
CONCLUSION
Further detailing extreme obesity-related risk beyond the obesity class III umbrella is necessary for accurate risk prediction, especially with the rising prevalence of elective nonbariatric surgery in this population. Preoperative risk assessment tools should consider subgroup risk adjustment to delineate true postoperative complication risk, facilitate patient education, and address modifiable risk factors before surgery.

Identifiants

pubmed: 32418709
pii: S0039-6060(20)30159-8
doi: 10.1016/j.surg.2020.03.016
pii:
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

462-470

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Meera Gupta (M)

Department of Surgery-Division of Transplantation, University of Kentucky, College of Medicine, Lexington, KY. Electronic address: meera.gupta@uky.edu.

Adam Dugan (A)

Department of Biostatistics-University of Kentucky, College of Public Health, Lexington, KY.

Eduardo Chacon (E)

Department of Surgery-Division of Transplantation, University of Kentucky, College of Medicine, Lexington, KY.

Daniel L Davenport (DL)

Department of Surgery, University of Kentucky, College of Medicine, Lexington, KY.

Malay B Shah (MB)

Department of Surgery-Division of Transplantation, University of Kentucky, College of Medicine, Lexington, KY.

Francesc Marti (F)

Department of Surgery-Division of Transplantation, University of Kentucky, College of Medicine, Lexington, KY.

J Scott Roth (JS)

Department of Surgery-Gastrointestinal & Minimally Invasive Surgery, University of Kentucky, College of Medicine, Lexington, KY.

Andrew Bernard (A)

Department of Surgery-Trauma and Critical Care, University of Kentucky, College of Medicine, Lexington, KY.

Joseph B Zwischenberger (JB)

Department of Surgery, University of Kentucky, College of Medicine, Lexington, KY.

Roberto Gedaly (R)

Department of Surgery-Division of Transplantation, University of Kentucky, College of Medicine, Lexington, KY.

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