You have accessJournal of UrologyCME1 Apr 2023MP22-09 EXTERNAL VALIDATION OF THE IDENTIFY RISK CALCULATOR Sinan Khadhouri, Luca Orecchia, Ravi Banthia, Pietro Piazza, David Mak, Nikolaos Pyrgidis, Prabhat Narayan, Pablo Abad Lopez, Faisal Nawaz, Tran Trung Thanh, Francesco Claps, Donnacha Hogan, Juan Gomez Rivas, Santiago Alonso, Ijeoma Chibuzo, Meghana Kulkarni, Thineskrishna Anbarasan, Kevin Gallagher, and Veeru Kasivisvanathan Sinan KhadhouriSinan Khadhouri More articles by this author , Luca OrecchiaLuca Orecchia More articles by this author , Ravi BanthiaRavi Banthia More articles by this author , Pietro PiazzaPietro Piazza More articles by this author , David MakDavid Mak More articles by this author , Nikolaos PyrgidisNikolaos Pyrgidis More articles by this author , Prabhat NarayanPrabhat Narayan More articles by this author , Pablo Abad LopezPablo Abad Lopez More articles by this author , Faisal NawazFaisal Nawaz More articles by this author , Tran Trung ThanhTran Trung Thanh More articles by this author , Francesco ClapsFrancesco Claps More articles by this author , Donnacha HoganDonnacha Hogan More articles by this author , Juan Gomez RivasJuan Gomez Rivas More articles by this author , Santiago AlonsoSantiago Alonso More articles by this author , Ijeoma ChibuzoIjeoma Chibuzo More articles by this author , Meghana KulkarniMeghana Kulkarni More articles by this author , Thineskrishna AnbarasanThineskrishna Anbarasan More articles by this author , Kevin GallagherKevin Gallagher More articles by this author , and Veeru KasivisvanathanVeeru Kasivisvanathan More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003247.09AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Risk-stratification for patients referred with haematuria is important in diagnosing cancer early and for health resource efficiency. A recent prediction model developed from the IDENTIFY study created a cancer risk calculator that aimed to help clinicians with their decision-making in the investigation of patients with haematuria. We aimed to externally validate this model in a separate cohort from the development population. METHODS: Data were collected on patient characteristics used for the risk calculator, and the cancer outcome recorded. Patients with a previous or existing urological malignancy were excluded. Development and validation cohort demographics were compared. The area under the receiver operating characteristic curve (AUC), calibration slope, calibration-in-the-large (CITL), and Brier’s score were used to assess external validation. RESULTS: There were 3483 patients from 111 hospitals across 27 countries. 12 countries were new countries not used in the development cohort. The development and validation cohorts were well matched (Table 1). When comparing the observed vs predicted outcomes of the prediction model on the validation cohort, the calibration slope was 0.97 and CITL was 0.33. AUC was 0.79. Brier’s score was 0.15. CONCLUSIONS: External validation of the IDENTIFY risk calculator shows good accuracy and discrimination for predicting urinary tract cancer in patients referred with haematuria. The model underestimates the risk slightly and this can be recalibrated by adjusting the intercept of the regression equation. The recalibrated risk calculator can be introduced into diagnostic haematuria pathways to improve risk stratification and health resource allocation. Source of Funding: The Urology FoundationAction Bladder Cancer UKRosetrees Trust © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e299 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Sinan Khadhouri More articles by this author Luca Orecchia More articles by this author Ravi Banthia More articles by this author Pietro Piazza More articles by this author David Mak More articles by this author Nikolaos Pyrgidis More articles by this author Prabhat Narayan More articles by this author Pablo Abad Lopez More articles by this author Faisal Nawaz More articles by this author Tran Trung Thanh More articles by this author Francesco Claps More articles by this author Donnacha Hogan More articles by this author Juan Gomez Rivas More articles by this author Santiago Alonso More articles by this author Ijeoma Chibuzo More articles by this author Meghana Kulkarni More articles by this author Thineskrishna Anbarasan More articles by this author Kevin Gallagher More articles by this author Veeru Kasivisvanathan More articles by this author Expand All Advertisement PDF downloadLoading ...