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
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...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2023-08-01
|
Series: | Therapeutic Advances in Urology |
Online Access: | https://doi.org/10.1177/17562872231191654 |
_version_ | 1797745850876690432 |
---|---|
author | Elia Abou Chawareb Christian Habib Ayoub Jad Najdi Joseph Ghoubaira Albert El-Hajj |
author_facet | Elia Abou Chawareb Christian Habib Ayoub Jad Najdi Joseph Ghoubaira Albert El-Hajj |
author_sort | Elia Abou Chawareb |
collection | DOAJ |
description | 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) ( p < 0.046). 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. |
first_indexed | 2024-03-12T15:28:50Z |
format | Article |
id | doaj.art-b23230066f9948d6adaae5dd718617ae |
institution | Directory Open Access Journal |
issn | 1756-2880 |
language | English |
last_indexed | 2024-03-12T15:28:50Z |
publishDate | 2023-08-01 |
publisher | SAGE Publishing |
record_format | Article |
series | Therapeutic Advances in Urology |
spelling | doaj.art-b23230066f9948d6adaae5dd718617ae2023-08-10T09:33:40ZengSAGE PublishingTherapeutic Advances in Urology1756-28802023-08-011510.1177/17562872231191654Preoperative predictors of prolonged length of stay in radical cystectomy: a retrospective study using the American College of Surgeons-National Surgical Quality Improvement Program DatasetElia Abou ChawarebChristian Habib AyoubJad NajdiJoseph GhoubairaAlbert El-HajjBackground: 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) ( p < 0.046). 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.https://doi.org/10.1177/17562872231191654 |
spellingShingle | Elia Abou Chawareb Christian Habib Ayoub Jad Najdi Joseph Ghoubaira Albert El-Hajj 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 Therapeutic Advances in Urology |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
url | https://doi.org/10.1177/17562872231191654 |
work_keys_str_mv | AT eliaabouchawareb preoperativepredictorsofprolongedlengthofstayinradicalcystectomyaretrospectivestudyusingtheamericancollegeofsurgeonsnationalsurgicalqualityimprovementprogramdataset AT christianhabibayoub preoperativepredictorsofprolongedlengthofstayinradicalcystectomyaretrospectivestudyusingtheamericancollegeofsurgeonsnationalsurgicalqualityimprovementprogramdataset AT jadnajdi preoperativepredictorsofprolongedlengthofstayinradicalcystectomyaretrospectivestudyusingtheamericancollegeofsurgeonsnationalsurgicalqualityimprovementprogramdataset AT josephghoubaira preoperativepredictorsofprolongedlengthofstayinradicalcystectomyaretrospectivestudyusingtheamericancollegeofsurgeonsnationalsurgicalqualityimprovementprogramdataset AT albertelhajj preoperativepredictorsofprolongedlengthofstayinradicalcystectomyaretrospectivestudyusingtheamericancollegeofsurgeonsnationalsurgicalqualityimprovementprogramdataset |