Appropriateness criteria for bariatric surgery: beyond the NIH guidelines

Area of Science:

• Bariatric Surgery
• Obesity Medicine
• Health Services Research

Background:

• National Institutes of Health (NIH) guidelines for bariatric surgery patient selection were established in 1991.
• Current practice sometimes includes patients outside these established criteria, particularly in extreme age groups.
• There is a need for updated criteria considering a broader spectrum of patient characteristics.

Purpose of the Study:

• To develop and validate appropriateness criteria for bariatric surgery patient selection.
• To incorporate patient age, body mass index (BMI), and the severity of obesity-related comorbidities.
• To provide evidence-based guidance for optimizing surgical candidate selection.

Main Methods:

• Developed candidate criteria using combinations of BMI, age categories (12-65+ years), and eight obesity-related comorbidities with severity levels.
• Formally validated criteria using the RAND/UCLA modified Delphi method with an expert panel.
• Assessed appropriateness based on whether surgical benefits clearly outweighed risks.

Main Results:

• Patients with BMI ≥35 kg/m² in intermediate age groups (19-64 years) were generally appropriate for surgery across various comorbidity severities.
• Patients in extreme age categories (adolescents and elderly) were deemed appropriate only for more severe comorbidities like diabetes and hypertension.
• For BMI 32-34 kg/m², only severe diabetes (Hgb A1c >9%) was considered appropriate for ages 19-64; milder comorbidities were inappropriate.
• There was strong consensus against bariatric surgery for individuals with BMI <32 kg/m².

Conclusions:

• This study presents the first appropriateness criteria for bariatric surgery incorporating comorbidity severity.
• Patient age and comorbidity severity are critical factors for appropriate bariatric surgery selection.
• Updated criteria can guide surgeons in selecting appropriate candidates, especially for adolescent and elderly populations.