Comparison of Perioperative Risk Assessment Tools for Major Postoperative Complications After Radical Cystectomy

Background/Objectives: To compare the discriminatory performance of commonly used perioperative risk assessment tools, including the American Society of Anesthesiologists (ASA) Physical Status Classification, Estimation of Physiologic Ability and Surgical Stress (E-PASS), Surgical Outcome Risk Tool (SORT), and modified 5-item Frailty Index (mFI-5), for major postoperative complications after radical cystectomy. Methods: This retrospective observational study included 193 patients who underwent open radical cystectomy for bladder cancer between January 2017 and January 2025. Major postoperative complications were defined as Clavien–Dindo grade III or higher. The discriminatory performance of ASA, E-PASS Comprehensive Risk Score (CRS), SORT, and mFI-5 was assessed using receiver operating characteristic analysis. Pairwise comparisons of the areas under the receiver operating characteristic curves (AUCs) were performed using the DeLong test. Logistic regression models were used to evaluate associations with major complications, and exploratory analyses examined secondary postoperative outcomes. Results: Major postoperative complications occurred in 58 (30.1%) patients. The numerical AUC was highest for E-PASS CRS (0.618, 95% CI 0.536–0.701), followed by SORT (AUC 0.610, 95% CI 0.525–0.694), ASA (AUC 0.595, 95% CI 0.509–0.680) and mFI-5 (AUC 0.578, 95% CI 0.489–0.668). However, pairwise DeLong tests showed no statistically significant difference in discrimination between E-PASS CRS and SORT, or any of the other scores tested. In univariable analysis, high E-PASS CRS, high SORT score and mFI-5 ≥ 2 were significantly associated with major complications, while ASA classification was not. When all scores were entered into the multivariable model at the same time, none of the scores remained statistically significant. Conclusions: All of the risk assessment tools evaluated in this study demonstrated poor discriminatory ability for major postoperative complications following radical cystectomy. Although E-PASS CRS had the highest numeric AUC, its discrimination was not statistically better than the other scores analyzed. Existing risk tools may help with perioperative risk stratification but should not be used as stand-alone prediction models for major postoperative morbidity after radical cystectomy.

Authors

Institutions

Publication Details

Journal
Diagnostics
Published
2026-10-22
DOI
https://doi.org/10.3390/diagnostics16213439
Primary Topic
Cardiac, Anesthesia and Surgical Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison of Perioperative Risk Assessment Tools for Major Postoperative Complications After Radical Cystectomy

Orkunt Özkaptan, Erdinç Dinçer, Antonios Koudonas, Ahmet Halil Sevinç et al.
Diagnostics
Cardiac, Anesthesia and Surgical Outcomes
article

Comparison of Perioperative Risk Assessment Tools for Major Postoperative Complications After Radical Cystectomy

Orkunt Özkaptan, Erdinç Dinçer, Antonios Koudonas, Ahmet Halil Sevinç, Osman Murat İpek, Cengiz Çanakçı, Alparslan Çetin, Burcu Hancı Sevinç
article en

Abstract

Background/Objectives: To compare the discriminatory performance of commonly used perioperative risk assessment tools, including the American Society of Anesthesiologists (ASA) Physical Status Classification, Estimation of Physiologic Ability and Surgical Stress (E-PASS), Surgical Outcome Risk Tool (SORT), and modified 5-item Frailty Index (mFI-5), for major postoperative complications after radical cystectomy. Methods: This retrospective observational study included 193 patients who underwent open radical cystectomy for bladder cancer between January 2017 and January 2025. Major postoperative complications were defined as Clavien–Dindo grade III or higher. The discriminatory performance of ASA, E-PASS Comprehensive Risk Score (CRS), SORT, and mFI-5 was assessed using receiver operating characteristic analysis. Pairwise comparisons of the areas under the receiver operating characteristic curves (AUCs) were performed using the DeLong test. Logistic regression models were used to evaluate associations with major complications, and exploratory analyses examined secondary postoperative outcomes. Results: Major postoperative complications occurred in 58 (30.1%) patients. The numerical AUC was highest for E-PASS CRS (0.618, 95% CI 0.536–0.701), followed by SORT (AUC 0.610, 95% CI 0.525–0.694), ASA (AUC 0.595, 95% CI 0.509–0.680) and mFI-5 (AUC 0.578, 95% CI 0.489–0.668). However, pairwise DeLong tests showed no statistically significant difference in discrimination between E-PASS CRS and SORT, or any of the other scores tested. In univariable analysis, high E-PASS CRS, high SORT score and mFI-5 ≥ 2 were significantly associated with major complications, while ASA classification was not. When all scores were entered into the multivariable model at the same time, none of the scores remained statistically significant. Conclusions: All of the risk assessment tools evaluated in this study demonstrated poor discriminatory ability for major postoperative complications following radical cystectomy. Although E-PASS CRS had the highest numeric AUC, its discrimination was not statistically better than the other scores analyzed. Existing risk tools may help with perioperative risk stratification but should not be used as stand-alone prediction models for major postoperative morbidity after radical cystectomy.

DiagnosticsVol. 16(21)
Aristotle University of Thessaloniki (GR), Dr Lütfi Kırdar Kartal Eğitim ve Araştırma Hastanesi (TR)
Openalex Percentile: Top 12%
Cardiac, Anesthesia and Surgical Outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon