Estimated prediction of urinary tract neoplasms using the identify risk calculator in patients with haematuria.

Abstract

Introduction: The classification of patients studied for haematuria into risk groups is important for early diagnosis of urinary tract cancers and optimising healthcare resources. This study aims to evaluate the role of the IDENTIFY calculator in the initial study of these patients and its use for classifying patients into risk groups.

Material and methods: A study of patients with haematuria was performed from June 2020 to June 2022. They were classified into risk groups using the IDENTIFY calculator. Final diagnosis of bladder neoplasia between the risk groups was compared. Receiver operating characteristic (ROC) curves were calculated according to the percentage of risk obtained with the calculator and the final diagnosis of bladder neoplasia.

Results: We included 255 patients. Imaging tests were positive for bladder cancer in 39 patients (15.3%). Transurethral resection of bladder tumour was performed in 39 cases; 4 were negative, 18 cases Ta, 2 cases T1, 14 cases T2, and one case carcinoma in situ (CIS). The final diagnosis was bladder neoplasia in 35 patients (13.8%). These patients were classified as: one low risk (2.9%), 4 intermediate risk (11.4%), and 30 high risk (85.7%); p <0.001. ROC curves were calculated, with an AUC (area under curve) of 0.89; p <0.001.

Conclusions: Patients classified into the high-risk group were more frequently diagnosed with bladder cancer than other risk groups. The IDENTIFY risk calculator is a simple and easy-to-use tool with acceptable discrimination in the diagnosis of urinary tract tumours, specifically bladder cancer.