ArticleTherapeutic advances in urology
Preoperative predictors of prolonged length of stay in radical cystectomy: a retrospective study using the American College of Surgeons-National Surgical Quality Improvement Program Dataset.
Article in Therapeutic advances in urology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Oncological and perioperative outcomes of robot-assisted radical cystectomy: a real-world cohort study emulating a target trial.Journal of robotic surgery · 2026Article
- Effect of Race/Ethnicity on In-hospital Outcomes After Radical Cystectomy.Journal of racial and ethnic health disparities · 2026Article
- Contemporary rates and predictors of prolonged hospital stay after radical cystectomy: a population-based analysis.World journal of urology · 2025Article
- Comparative Outcomes of Open Radical Cystectomy vs. Robot-Assisted Approaches with Intracorporeal and Extracorporeal Urinary Diversion: A Meta-Analysis and Network Meta-Analysis of Perioperative and Quality of Life Outcomes.Journal of clinical medicine · 2024Review
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5 authors.
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Abstract
Background: Radical cystectomy (RC) is considered a complex procedure that entails significant morbidity and mortality. Objectives: We aimed to determine pre-operative patient characteristics that help predict a prolonged length of hospital stay (PLOS) following RC. Design and Methods: The American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) database was used to select patients who underwent RC between the years 2011 and 2020. Prolonged length of stay was defined as a hospital stay ⩾9 days. We compared patient demographics, pre-operative labs, surgical characteristics, and medical history between patients with or without PLOS. Multivariable logistic regression models controlling for pre-operative characteristics and propensity score matching for post-operative complications were conducted to control for possible confounders. Results: The analysis yielded details of 19,158 RC patients of which 6007 (31%) patients had a PLOS. Patients with PLOS were more likely to have post-operative complications that could serve as predictors for the PLOS rather than their pre-operative characteristics. Hence, we matched our cohort for these complications. After matching, patient pre-operative characteristics that predict PLOS included female gender (Odds Ratio (OR) = 5.91), 10-year increase in age (OR = 1.15), non-White race (OR = 1.98), partially or totally dependent functional health status (OR = 2.86), bleeding disorders (OR = 4.67), congestive heart failure (OR = 1.59), pre-operative transfusion (OR = 3.03), and a 20-min increase in operative time (OR = 1.01) ( Conclusion: Patient demographics and pre-operative factors can help predict PLOS in RC patients. These predictors could serve as tools for patient counseling and risk stratification.
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