Skip to main content

Extreme Obesity (BMI ≥ 60 kg/m2) Characterization up to and Beyond 80 kg/m2 in 1,262,454 Bariatric Surgery Patients

Journal
Obesity (Silver Spring, Md.) (Q1)
Published
24 August 2026
Study design
Cross-sectional study
Evidence level
Level 4, Very Low (CEBM 4)
Authors
Vance L Albaugh, Hector Garcia Navas, Robert C Ross, Florina Corpodean, Michael Kachmar, Denise M Danos, et al.
PMID
42638036
DOI
10.1002/oby.70289

Why clinicians should know about it

Abstract

OBJECTIVE: This study aimed to estimate extreme obesity prevalence and association with disease burden and outcomes in patients undergoing metabolic and bariatric surgery (MBS). METHODS: Cross-sectional data from the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP, 2015-2023) were analyzed (n = 1,795,127). Preoperative disease burden and 30-day outcomes were compared across BMI categories (< 40, 40.0-49.9, 50.0-59.9, 60.0-69.9, 70.0-79.9, and ≥ 80 kg/m2), emphasizing extreme obesity compared to lower BMI categories. RESULTS: Extreme obesity represented 5.3% of the eligible sample, though even higher BMI values (i.e., ≥ 70 kg/m2) were consistently present in 1.1% of cases annually (13,677 cases/9 years). Relative to BMI < 40 kg/m2, patients with the highest BMI values (≥ 70 kg/m2) had significantly greater frequency of hypertension (56.7% vs. 46.9%), sleep apnea (59.6% vs. 34.6%), COPD (2.6% vs. 1.1%), and functional dependence (4.5% vs. 0.5%). Increasing BMI category was associated with increased serious complications (2.6% vs. 0.7%; p < 0.001) and mortality (0.35% vs. 0.05%; p < 0.001). CONCLUSIONS: Extreme obesity is common in MBS, and greater BMI is associated with progressively higher comorbidity burden and complications. Despite the higher frequency of complications, absolute events are low and do not contraindicate multidisciplinary obesity treatment. Strategies to reduce preoperative BMI among patients with the highest BMI values warrant evaluation.

Abstract as published, via PubMed.

View on PubMedFull text at the publisherOpen in the app

For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.