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Preoperative patient optimization for endourological procedures: the current best clinical practice

Authors
 Abdulghafour Halawani  ;  Kyo Chul Koo  ;  Victor K F Wong  ;  Ben H Chew 
Citation
 CURRENT OPINION IN UROLOGY, Vol.33(2) : 122-128, 2023-03 
Journal Title
CURRENT OPINION IN UROLOGY
ISSN
 0963-0643 
Issue Date
2023-03
MeSH
Anti-Bacterial Agents ; Antibiotic Prophylaxis ; Humans ; Nephrolithotomy, Percutaneous* / adverse effects ; Nephrolithotomy, Percutaneous* / methods ; Risk Factors ; Urolithiasis* / surgery
Abstract
Purpose of review: Despite technological advancements in endourological surgery, there is room for improvement in preoperative patient optimization strategies. This review updates recent best clinical practices that can be implemented for optimal surgical outcomes.

Recent findings: Outcome and complication predictions using novel scoring systems and techniques have shown to assist clinical decision-making and patient counseling. Innovative preoperative simulation and localization methods for percutaneous nephrolithotomy have been evaluated to minimize puncture-associated adverse events. Novel antibiotic prophylaxis strategies and further recognition of risk factors that attribute to postoperative infections have shown the potential to minimize perioperative morbidity. Accumulating data on the roles of preoperative stenting and selective oral alpha-blockers adds evidence to the current paradigm of preventive measures for ureteral injury.

Summary: Ample tools and technologies exist that can be utilized preoperatively to improve surgical outcomes. The combination of these innovations, along with validation in larger-scale studies, presents the cornerstone of future urolithiasis management.

Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.
Full Text
https://journals.lww.com/co-urology/fulltext/2023/03000/preoperative_patient_optimization_for.10
DOI
10.1097/MOU.0000000000001060
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Urology (비뇨의학교실) > 1. Journal Papers
Yonsei Authors
Koo, Kyo Chul(구교철) ORCID logo https://orcid.org/0000-0001-7303-6256
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/197293
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