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Updated: Aug 25, 2025

Murine Ileocolic Bowel Resection with Primary Anastomosis
Published on: October 29, 2014
Classification und Treatment Algorithm of Small Bowel Perforations Based on a Ten-Year Retrospective Analysis
Flurina Onken1,2, Moritz Senne1, Alfred Königsrainer1
1Department of General, Visceral and Transplantation Surgery, University Hospital of Tübingen, Hoppe-Seyler-Str. 3, 72076 Tübingen, Germany.
Small bowel perforations are rare but potentially fatal. This study established a diagnostic and therapeutic algorithm, highlighting time to diagnosis and disease severity as key factors for predicting complications and improving outcomes.
Area of Science:
- Gastroenterology
- Surgical Innovation
- Clinical Outcomes Research
Background:
- Small bowel perforations are uncommon but life-threatening if untreated.
- Current literature lacks specific classifications or treatment guidelines for small bowel perforations.
- Existing data on etiology, localization, and outcomes are limited.
Purpose of the Study:
- To analyze the characteristics of small bowel perforations.
- To develop a diagnostic and therapeutic algorithm for small bowel perforations.
- To identify predictors of complications and mortality in small bowel perforations.
Main Methods:
- Retrospective, monocentric data analysis of 267 small bowel perforation cases from 2010-2019.
- Categorization of perforations by location (duodenal, jejunal, ileal) and etiology (iatrogenic, ischemic, malignant, etc.).
- Evaluation of treatment approaches and mortality rates.
Main Results:
- Iatrogenic (41.9%) and ischemic (20.6%) etiologies were most common.
- The overall mortality rate was 14.23%, with the highest rates observed in ischemic perforations.
- Operative treatment with antibiotics was the primary therapeutic strategy (94.3%).
Conclusions:
- A diagnostic and therapeutic algorithm for small bowel perforations has been established.
- Small bowel perforations represent rare events with significant associated morbidity and mortality.
- Early diagnosis and assessment of underlying disease severity are crucial for predicting and managing complications.
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