The CAMUS Initiative: A Multiphase, Multicentre International Collaboration to Redefine Risk Stratification, Reporting, and Grading of Surgical Complications in Urology

= 20) and has generated consensus on novel grading domains and highlighted the importance of multidisciplinary perspectives. Arm 4 will incorporate patient-reported outcomes and behavioural economics methods to quantify subjective burdens, while arm 5 will develop the CAMUS Intraoperative and Postoperative Risk and Difficulty Estimation Index (IPRADES) for surgical risk and difficulty prediction. Arms 6 and 7 will build a secure e-database and dictionary and prospectively validate the system using >2000 new cases. Statistical methods include multivariable regression, meta-analysis of individual patient data, and machine-learning approaches to model predictors of morbidity and mortality. Outputs will be benchmarked internationally to facilitate both clinician- and patient-driven definitions of complication severity. Ultimately, CAMUS will deliver a reproducible, patient-inclusive classification system with broad applicability to clinical practice, audits, education, and policy. By integrating more than 130 000 procedures with global Delphi consensus, CAMUS represents the most comprehensive complication classification initiative undertaken in surgery. Its outputs are expected to improve transparency, standardise reporting, and inform patient-centred risk stratification worldwide.

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Publication Details

Journal
European Urology Open Science
Published
2026-04-06
DOI
https://doi.org/10.1016/j.euros.2026.01.012
Primary Topic
Cardiac, Anesthesia and Surgical Outcomes
Type
article
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article

The CAMUS Initiative: A Multiphase, Multicentre International Collaboration to Redefine Risk Stratification, Reporting, and Grading of Surgical Complications in Urology

Saajida Begum, Lisa Bergauer, Barbora Bendová, Ademola Adeyeye et al.
European Urology Open Science
Cardiac, Anesthesia and Surgical Outcomes
article

The CAMUS Initiative: A Multiphase, Multicentre International Collaboration to Redefine Risk Stratification, Reporting, and Grading of Surgical Complications in Urology

Saajida Begum, Lisa Bergauer, Barbora Bendová, Ademola Adeyeye, Marc Alain Furrer, Niranjan Jude Sathianathen, Henning Bahlburg, Florian Beraud, Edoardo Agostini, Constantinos Adamou, Peter C. Albertsen, L. Baekelandt, Bastian Amend, Lorenzo Berti, Yoël Berger, Mitchell Barns, Ahmad Bashir, Paul Anderson, Atiqullah Aziz, Luigi Ascalone, Christian M. Beilstein, Filip Ameye, O. Al-Bermani, María Ángela Agüera Sánchez, Patrick Betschart, Shreyas Bhadranavar, Nebil Akdoğan, Sheela Badiger, Jana Aulenkamp, Patrick Y. Wuethrich, Frank Peter Berger, Konstantinos Adamos, Fawad Arif, Naeem Bhojani, David Beckmann, Michael H. R. Beh, Stefan Aufderklamm, Furat Abd Ali, Mattia Benedetti, Samira Akbas, Muhammad Fairuz Shah Bin. Abd Karim, Kaspar F. Bachmann, Niall Corcoran, Reshma Ambulkar, Christopher Soliman, Anne‐Claire Berrens, Vandana Agarwal, Deepak Batura, Eren Erdi Aksaray, Ilgar Akbarov, Turki Altaylouni, Chawat Angsurak, Christa Babst, Daniel Benamran, Luca Antonelli, Elliot Anderson, Stefano Cogo Badan, Abhishek Agarwal, Alberto Bianchi, Burkhard Beyer, Sarfraz Ahmad, Alessandro Adami, Peter Albers, Axel Bex, Marek Babjuk, Sebastian Berg, Emad Aziz, Ketan K. Badani, Florian Aellen, Mohamed Abouelenein, MHammad Ather, Mayank Agrawal, Vincenzo Asero, Dheaa Al-Rammahi, Yuliya Anastasiyeuskaya, Hassan Aina Ali, Ahmad Almarzouq, David M. Albala, Salah Albuheissi, Francesco Barletta, Rawdy Talaat Ahour, Dinesh K Agarwal, Rui Miguel Marques Bernardino, Ahmed Adam, Nathan Lawrentschuk, Themistoklis Ch Bellos, Yenny Arroyo Rojas, Rouvier Al-Monajjed, Jonathan Aning, Daniele Amparore, Luca Afferi, Camille Berquin, Jay Atkinson, Umberto Anceschi, Riccardo Bertolo, Riccardo Autorino, Mohamed Ali Ibrahim Ali Mohsen, Jörg Beyer, Craig Richard Bailey, Yasmin Abu Ghanem
article en

Abstract

= 20) and has generated consensus on novel grading domains and highlighted the importance of multidisciplinary perspectives. Arm 4 will incorporate patient-reported outcomes and behavioural economics methods to quantify subjective burdens, while arm 5 will develop the CAMUS Intraoperative and Postoperative Risk and Difficulty Estimation Index (IPRADES) for surgical risk and difficulty prediction. Arms 6 and 7 will build a secure e-database and dictionary and prospectively validate the system using >2000 new cases. Statistical methods include multivariable regression, meta-analysis of individual patient data, and machine-learning approaches to model predictors of morbidity and mortality. Outputs will be benchmarked internationally to facilitate both clinician- and patient-driven definitions of complication severity. Ultimately, CAMUS will deliver a reproducible, patient-inclusive classification system with broad applicability to clinical practice, audits, education, and policy. By integrating more than 130 000 procedures with global Delphi consensus, CAMUS represents the most comprehensive complication classification initiative undertaken in surgery. Its outputs are expected to improve transparency, standardise reporting, and inform patient-centred risk stratification worldwide.

European Urology Open ScienceVol. 87
University of Bern (CH), The Royal Melbourne Hospital (AU), University Hospital of Bern (CH), Western Health (AU), Solothurner Spitäler (CH)
Partnerships for the goals
Openalex Percentile: Top 29%
Cardiac, Anesthesia and Surgical Outcomes
DOIOpen Access PDFOpenAlex
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