Hidalgo Beatriz Gutiérrez, Rivas Juan Gómez, de la Parra Irene, Arévalo Rommel, Romo M Isabel Galante, Ciappara Marco, Redondo Enrique, Moreno-Sierra Jesús
Department of Urology, Hospital Clínico San Carlos, Complutense University, Madrid, Spain.
Health Research Institute, Hospital Clínico San Carlos, Madrid, Spain.
Cent European J Urol. 2024;77(4):612-617. doi: 10.5173/ceju.2024.0113. Epub 2024 Dec 28.
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.
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.
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 (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.
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.
将血尿患者分为不同风险组对于泌尿系统癌症的早期诊断和优化医疗资源非常重要。本研究旨在评估IDENTIFY计算器在这些患者初步研究中的作用及其用于将患者分类为不同风险组的情况。
对2020年6月至2022年6月期间的血尿患者进行了一项研究。使用IDENTIFY计算器将他们分为不同风险组。比较了不同风险组之间膀胱肿瘤的最终诊断情况。根据计算器得出的风险百分比和膀胱肿瘤的最终诊断绘制了受试者操作特征（ROC）曲线。
我们纳入了255例患者。39例患者（15.3%）的影像学检查显示膀胱癌阳性。39例患者进行了经尿道膀胱肿瘤切除术；4例为阴性，18例为Ta期，2例为T1期，14例为T2期，1例为原位癌（CIS）。最终诊断为膀胱肿瘤的患者有35例（13.8%）。这些患者被分类为：1例低风险（2.9%），4例中风险（11.4%），30例高风险（85.7%）；p<0.001。计算了ROC曲线，曲线下面积（AUC）为0.89；p<0.001。
与其他风险组相比，被分类为高风险组的患者更常被诊断为膀胱癌。IDENTIFY风险计算器是一种简单易用的工具，在泌尿系统肿瘤尤其是膀胱癌的诊断中具有可接受的鉴别能力。
