Predictors of Clinical Outcomes Following Laparoscopic Colectomy for Traumatic Injury

Author:

Cheng Vincent1,Schellenberg Morgan1,Ashbrook Matthew1,Grigorian Areg1,Donohue Sean1,Emigh Brent1ORCID,Matsushima Kazuhide1,Inaba Kenji1

Affiliation:

1. Division of Trauma and Surgical Critical Care, LAC + USC Medical Center, University of Southern California, Los Angeles, CA, USA Presented at the 2022 Annual Scientific Conference of the Southern California Chapter of the American College of Surgeons in Santa Barbara, CA

Abstract

Background Laparoscopic colectomy following traumatic injury has been increasingly utilized, but open resection remains the standard of care. Therefore, identifying appropriate candidates for laparoscopy is critically important. This study’s purpose was to identify predictors of clinical outcomes in patients undergoing laparoscopic colectomy following traumatic injury Methods The National Trauma Databank was queried for patients undergoing laparoscopic colectomy within 48 hours of admission between 2007 and 2015. Patient, injury, and management characteristics were abstracted. Multivariable regression analyses adjusted for baseline characteristics and identified significant predictors of clinical outcomes. Results A total of 581 patients satisfied inclusion criteria. The median age was 31 years, 465 (80%) were male, and 321 (55%) sustained penetrating injuries. An ostomy was created in 143 (25%) cases. Multivariable logistic regression showed that significant predictors of mortality included a falling mechanism (odds ratio [OR] 104.917, P = .002), admission tachycardia (OR 5.823, P = .001), admission hypotension (OR 26.089, P < .001), and multi-system injuries like head (OR 1.587, P = .008) and thoracic (OR 1.627, P = .001) injuries. Significant predictors of unplanned reoperation included transverse (OR 7.657, P = .033) and left (OR 17.155, P = .014) colon resections, obesity (OR 24.407, P = .016), and chronic respiratory disease (OR 32.963, P = .018). Ostomy creation was significantly associated with neither mortality nor unplanned reoperation. Conclusion These data suggest that readily identifiable preoperative characteristics are significantly associated with differences in clinical outcomes. Additional research is required to determine if varying treatment based on these qualities can improve outcomes.

Publisher

SAGE Publications

Subject

General Medicine

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