• Kristin N Kelly, James C Iannuzzi, Aaron S Rickles, John R T Monson, and Fergal J Fleming.
• Surgical Health Outcomes and Research Enterprise, Department of Surgery, University of Rochester Medical Center, 601 Elmwood Avenue, Box SURG, Rochester, NY, 14642, USA, Kristin_Kelly@URMC.rochester.edu.
• J. Gastrointest. Surg. 2014 Jan 1;18(1):35-43; discussion 43-4.

PurposePreventable readmissions represent a major burden on the health care system and risk stratification of patients can help direct costly resources. This study examines patient characteristics, surgical factors, and postoperative complications associated with 30-day postoperative readmissions in gastrointestinal (GI) resections.MethodsInpatients undergoing major GI surgery were selected from the 2011 American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) database. Resections were classified into foregut, small bowel, colorectal, liver, and pancreatic using Current Procedural Terminology (CPT) codes. Postoperative complications were divided into pre- and post-discharge groups using time to complication and discharge. Univariate analysis compared patient and surgical characteristics and pre-discharge complications with 30-day unplanned readmission rates. Factors with a p value <0.1 were included in multivariate logistic regression. A p value <0.05 was considered statistically significant.ResultsFor 42,609 patients undergoing GI resection, the overall 30-day unplanned readmission rate was 12.3 % ranging from 11.8 % for colorectal resections to 16.3 % for pancreatic resections. Major predictors of 30-day readmissions included pre-discharge major complications (odds ratio [OR] = 1.28, 95 % confidence interval [CI] 1.18-1.39, p < 0.0001), chronic steroid use (OR = 1.67, 95 % CI 1.50-1.86, p < 0.0001), operative time ≥4 h (OR = 1.45, 95 % CI 1.35-1.56, p < 0.0001) and discharge to a facility other than home (OR = 1.37, 95 % CI 1.23-1.50, p < 0.0001).ConclusionsUnplanned 30-day readmissions represent a major clinical and financial concern, but some may be foreseeable and potentially modifiable. This model provides insight into factors that could inform resource utilization and postoperative care to help prevent readmissions in select GI surgical patients.

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