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Published on: January 31, 2025
Predictive Factors for a Long Postoperative Stay after Emergency Laparoscopic Cholecystectomy Using the 2013 Tokyo
1Department of Surgery, Kariya Toyota General Hospital, 5-15 Sumiyoshi-cho, Kariya, Aichi 448-8505, Japan.
Identifying risk factors for prolonged hospital stays after emergency laparoscopic cholecystectomy for acute cholecystitis is crucial. Older age, elevated bilirubin and alkaline phosphatase, and higher Tokyo Guidelines severity predict longer recovery times.
Area of Science:
- Gastroenterology
- Surgical Innovation
- Health Services Research
Background:
- Laparoscopic cholecystectomy (LC) is a standard treatment for acute cholecystitis (AC).
- Predicting postoperative hospital stays (PHS) is essential for resource management and patient care.
- The 2013 Tokyo Guidelines (TG13) provide a framework for AC management.
Purpose of the Study:
- To identify and evaluate risk factors for prolonged PHS in patients undergoing emergency LC for AC.
- To stratify patient risk for extended hospital stays based on preoperative and perioperative factors.
Main Methods:
- Retrospective analysis of clinical data from 149 patients undergoing emergency LC for AC (2011-2017).
- Patients categorized into early discharge (≤3 days) and late discharge (>3 days) groups.
- Preoperative characteristics and perioperative outcomes analyzed for association with late discharge.
Main Results:
- 30.2% of patients experienced prolonged PHSs, with fever and inflammation being primary causes.
- Univariate analysis identified age, white blood cell count, C-reactive protein, total bilirubin (T-bil), alkaline phosphatase (ALP), anticoagulation, and TG13 severity grade as significant.
- Multivariate analysis confirmed TG13 severity grade II, age >65 years, and elevated T-bil and ALP levels as independent predictors of prolonged PHS.
Conclusions:
- Older age, impaired biliary function (elevated T-bil and ALP), and higher TG13 severity grade are significant predictors of prolonged PHS in AC patients undergoing emergency LC.
- These factors can aid in predicting prolonged hospital stays, enabling better preoperative planning and patient management.
- Optimizing management strategies for high-risk patients may reduce PHS and associated healthcare costs.
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