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The CAMUS Initiative: A Multiphase, Multicentre International Collaboration to Redefine Risk Stratification,
Christopher Soliman1,2, Niranjan J Sathianathen1,2, Niall M Corcoran1,2
1Department of Urology, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia.
Insights
The Complications After Major and Minor Urological Surgery (CAMUS) initiative redefines surgical complication reporting. This global effort integrates patient outcomes and multidisciplinary input for improved risk stratification and transparency in urological surgery.
Area of Science:
- Urology
- Surgical Outcomes
- Patient-Centered Care
Background:
- Existing surgical complication classifications (e.g., Clavien-Dindo) are clinician-centered and intervention-focused.
- These frameworks do not adequately capture cumulative, patient-centered outcomes.
- There is a need for a more comprehensive and patient-inclusive approach to complication reporting and risk stratification in urological surgery.
Purpose of the Study:
- To outline the Complications After Major and Minor Urological Surgery (CAMUS) initiative, a global effort to redefine complication reporting, risk stratification, and outcome measurement.
- To develop a patient-inclusive classification system for surgical complications.
- To improve transparency, standardize reporting, and inform patient-centered risk stratification worldwide.
Main Methods:
- Assembled a retrospective dataset of 130,034 major urological procedures from 180 centers.
- Conducted Delphi surveys with physicians (n=1113) and nurses (n=20) to achieve consensus on novel grading domains.
- Incorporated patient-reported outcomes, developed a risk prediction index (IPRADES), and planned prospective validation with >2000 cases.
Main Results:
- Generated consensus on novel grading domains emphasizing multidisciplinary perspectives.
- Assembled the largest retrospective dataset for major urological procedures.
- Developed the CAMUS Intraoperative and Postoperative Risk and Difficulty Estimation Index (IPRADES) for risk prediction.
Conclusions:
- The CAMUS initiative represents the most comprehensive complication classification effort in surgery to date.
- The developed system integrates over 130,000 procedures with global expert consensus.
- CAMUS will deliver a reproducible, patient-inclusive classification system applicable to clinical practice, audits, education, and policy, enhancing patient-centered risk stratification.
Abstract:
Surgical complications remain a major source of preventable morbidity, mortality, and health care expenditure, but existing frameworks such as the Clavien-Dindo classification and Comprehensive Complication Index are clinician-centred and intervention-focused and fail to capture cumulative patient-centred outcomes. This protocol outlines the Complications After Major and Minor Urological Surgery (CAMUS) initiative, a global, multiphase effort to redefine complication reporting, risk stratification, and outcome measurement in urological surgery. CAMUS aims to address these limitations via an integrated, seven-arm programme combining retrospective and prospective data analysis, consensus development, and digital infrastructure design. Arm 1 has assembled a retrospective data set of 130 034 major urological procedures from 180 centres across 33 countries, the largest of its kind. Arms 2 and 3 have completed Delphi surveys with physicians ( n = 1113) and pilot nursing participants ( n = 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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