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Predicting Delayed Postoperative Length of Stay Following Robotic Kidney Transplantation: Development and Simulation
Sang-Wook Lee1, Kyoung-Sun Kim1, Sung-Hoon Kim1
1Brain Korea 21 Project, Department of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea.
Medicina (Kaunas, Lithuania)
|August 29, 2024
Summary
Early discharge after robot-assisted kidney transplantation (RAKT) is beneficial. This study identified key predictors of delayed discharge, developing a risk score to improve patient outcome prediction.
Area of Science:
- Nephrology
- Surgical Oncology
- Transplantation Medicine
Background:
- Early discharge after robot-assisted kidney transplantation (RAKT) offers cost-effectiveness and maintains positive patient prognoses.
- Identifying predictors of delayed discharge is crucial for optimizing patient care and resource allocation in RAKT.
Purpose of the Study:
- To identify predictors of delayed postoperative discharge in patients undergoing RAKT.
- To develop and validate a predictive risk scoring system for delayed discharge after RAKT.
Main Methods:
- Retrospective analysis of 146 adult RAKT patients (August 2020 - January 2024).
- Data included demographics, comorbidities, surgical details, and postoperative outcomes.
- Logistic regression identified risk factors; a risk score was developed and validated using ROC analysis.
Main Results:
- 74.8% of patients were discharged within 7 days; 24.7% had a length of stay > 7 days.
- ABO incompatibility, BUN levels, anesthesia time, and vasodilator use were significant risk factors for delayed discharge.
- The developed RAKT score achieved a C-statistic of 0.789, indicating good predictive performance.
Conclusions:
- Key risk factors for delayed discharge post-RAKT have been identified.
- A novel risk scoring system demonstrates potential for improving postoperative outcome stratification in RAKT recipients.
- This tool can aid clinicians in managing patient expectations and optimizing care pathways.
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