Estimating the Morbidity of Robot-Assisted Radical Cystectomy Using the Comprehensive Complication Index: Data from the Asian Robot-Assisted Radical Cystectomy Consortium

  • Alvin Lee Yuanming
  • , Fiona Tan Bei Na
  • , Raj Tiwari
  • , Thomas Kong Ngai Chan
  • , Jeremy Yuen Chun Teoh
  • , Seok Ho Kang
  • , Manish I. Patel
  • , Satoru Muto
  • , Cheng Kuang Yang
  • , Shingo Hatakeyama
  • , Kittinut Kijvikai
  • , Haige Chen
  • , Chikara Ohyama
  • , Shigeo Horie
  • , Eddie Shu Yin Chan
  • , Lui Shiong Lee*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Robot-assisted radical cystectomy (RARC) can lead to surgical complications. Grading systems, like the Clavien–Dindo classification (CDC), measure only the most serious issue and might not reflect the cumulative burden of complications. We studied whether another tool, the comprehensive complication index (CCI), could provide a more complete picture of complications. Using data from multiple hospitals, we found that the CCI did not significantly improve the predictions of post-operative outcomes, such as longer hospital stays or higher readmission rates, compared to CDC. This is likely because most patients experienced only a few complications. Our findings suggest that while the CCI may have benefits, its usefulness likely depends on the specific surgical setting and patient population.

Original languageEnglish
Article number1157
JournalCancers
Volume17
Issue number7
DOIs
Publication statusPublished - 2025 Apr

Bibliographical note

Publisher Copyright:
© 2025 by the authors.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Clavien–Dindo
  • comprehensive complication index
  • cystectomy
  • morbidity
  • robot-assisted

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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