Predictors of delayed discharge after adolescent metabolic and bariatric surgery
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Michael T Olson1, Mark Shacker2, Justine O Chinn2
1Department of General Surgery, Brooke Army Medical Center, Fort Sam Houston, Texas.
Background:
Enhanced recovery after surgery (ERAS) protocols have shortened hospital stays following metabolic and bariatric surgery (MBS); however, a subset of adolescents still experience delayed discharge, and contemporary national data remain limited.
Objectives:
Evaluate the incidence, temporal trends, and predictors of delayed discharge following adolescent MBS.
Setting:
Multicenter, national database study.
Methods:
Retrospective cohort study utilizing the 2015-2024 Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) database. Adolescents (ages 10 to <20) undergoing primary minimally invasive vertical sleeve gastrectomy (SG) or Roux-en-Y gastric bypass (RYGB) were included. Delayed discharge was defined as postoperative length of stay (LOS) >2 days. Temporal trends were assessed with Cochran-Armitage test. Multivariable logistic regression identified predictors of delayed discharge.
Results:
Among the 10,553 adolescents (85.9% SG, 14.1% RYGB), delayed discharge occurred in 713 (6.8%) patients and was more common after RYGB than SG (9.6% vs 6.3%, P < .001). Delayed discharge decreased significantly over the study period for both procedures (both P < .001). Independent predictors of delayed discharge included Asian race (adjusted odds ratio [aOR], 5.15; 95% confidence interval [CI], 3.11-8.22), Hispanic ethnicity (aOR, 1.83; 1.48-2.25), sleep apnea (aOR, 1.56; 1.26-1.94), and Black race (aOR, 1.34; 1.08-1.67). Robotic approach (aOR, .54; .36-.78), increasing age (aOR, .88/yr; .83-.93), and operative year (aOR, .89/yr; .86-.92) were associated with decreased odds of delayed discharge.
Conclusions:
Delayed discharge after adolescent MBS is uncommon and declining. Several modifiable and nonmodifiable predictors were identified that inform preoperative risk stratification, targeted perioperative optimization, and discharge planning in this population.
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