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Published on: January 8, 2020
Identifying At-Risk Populations for Reoperations, Readmissions, and Interventions in MBSAQIP Using a Novel Inpatient
Michael Kachmar1,2,3, Jake E Doiron4,5, Florina Corpodean4,5
1Louisiana State University Health Sciences Center, New Orleans, LA, USA. michael.kachmar@pbrc.edu.
Introduction:
Metabolic and bariatric surgery (MBS) is increasingly used for obesity and metabolic disease, with safety profiles showing it is among the safest major operations. The last 20 + years have noted significantly improved safety that has been accompanied by decreasing length of stay and select populations electing for outpatient surgery, leading to continued decreases in cost. Regardless, readmissions and complications still occur, requiring inpatient postoperative care (IP-POC). The current study aimed to identify and characterize at-risk populations for MBS-related IP-POC.
Study Design:
The 2015-2021 MBSAQIP (n = 1,346,468 records) was used to extract 973,520 primary cases of laparoscopic sleeve gastrectomy, Roux-en-Y gastric bypass, duodenal switch, and associated IP-POC. Conversions, pediatric cases, and < 30-day follow-up were excluded. IP-POC severity scores were calculated by summing readmissions (1 point), interventions (5 points), and reoperations (15 points). Risk factors associated with IP-POC were identified using zero-inflated Poisson models.
Results:
GERD, COPD, smoking, and type of MBS procedure were significantly associated with increased IP-POC incidence and severity. Male sex was associated with increased severity but a lower likelihood of IP-POC, while Black and Hispanic race predicted increased IP-POC likelihood but not severity. ROC curve analysis identified IP-POC score thresholds of ≥ 6 and ≥ 10 as significantly associated with MACE (OR 2.4) and 30-day mortality (OR 4.7).
Conclusion:
The weighted IP-POC model demonstrated associations between preoperative characteristics and increased IP-POC likelihood and severity. These findings add to the current understanding of MBS patient care dynamics, and can be used to improve patient counseling, refine postoperative protocols, and optimize resource allocation.
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