Nomograms including the UBC® Rapid test to detect primary bladder cancer based on a multicentre dataset

• Published in: BJU international Vol. 130; no. 6; pp. 754 - 763
• Main Authors: Meisl, Christina J., Karakiewicz, Pierre I., Einarsson, Roland, Koch, Stefan, Hallmann, Steffen, Weiß, Sarah, Hemdan, Tammer, Malmström, Per‐Uno, Styrke, Johan, Sherif, Amir, Hasan, Mudhar N., Pichler, Renate, Tulchiner, Gennadi, Palou, Joan, Rodríguez Faba, Óscar, Hennenlotter, Jörg, Stenzl, Arnulf, Ritter, René, Niegisch, Günter, Grunewald, Camilla M., Schlomm, Thorsten, Friedersdorff, Frank, Barski, Dimitri, Otto, Thomas, Gössl, Andreas, Arndt, Christian, Esuvaranathan, Kesavan, Kesavan, Nisha R., Zhijiang, Zang, Kramer, Mario W., Hennig, Martin J. P., Ecke, Thorsten H.
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 01-12-2022
• Subjects: Biopsy; Bladder cancer; BladderCancer; blcsm; Cancer; diagnosis; Hematuria; Humans; logistic model; nomogram; Nomograms; Patients; Risk Factors; ROC Curve; Smoking; UBC (R) Rapid test; UBC® Rapid test; Urinary bladder; Urinary Bladder Neoplasms - diagnosis; Urinary Bladder Neoplasms - urine; uroonc; urothelial cancer; logistic model; uroonc; blcsm; UBC® Rapid test; bladder cancer; diagnosis; urothelial cancer; nomogram; BladderCancer
• ISSN: 1464-4096; 1464-410X; 1464-410X
• DOI: 10.1111/bju.15677

Objectives
To evaluate the clinical utility of the urinary bladder cancer antigen test UBC® Rapid for the diagnosis of bladder cancer (BC) and to develop and validate nomograms to identify patients at high risk of primary BC.
Patients and Methods
Data from 1787 patients from 13 participating centres, who were tested between 2012 and 2020, including 763 patients with BC, were analysed. Urine samples were analysed with the UBC® Rapid test. The nomograms were developed using data from 320 patients and externally validated using data from 274 patients. The diagnostic accuracy of the UBC® Rapid test was evaluated using receiver‐operating characteristic curve analysis. Brier scores and calibration curves were chosen for the validation. Biopsy‐proven BC was predicted using multivariate logistic regression.
Results
The sensitivity, specificity, and area under the curve for the UBC® Rapid test were 46.4%, 75.5% and 0.61 (95% confidence interval [CI] 0.58–0.64) for low‐grade (LG) BC, and 70.5%, 75.5% and 0.73 (95% CI 0.70–0.76) for high‐grade (HG) BC, respectively. Age, UBC® Rapid test results, smoking status and haematuria were identified as independent predictors of primary BC. After external validation, nomograms based on these predictors resulted in areas under the curve of 0.79 (95% CI 0.72–0.87) and 0.95 (95% CI: 0.92–0.98) for predicting LG‐BC and HG‐BC, respectively, showing excellent calibration associated with a higher net benefit than the UBC® Rapid test alone for low and medium risk levels in decision curve analysis. The R Shiny app allows the results to be explored interactively and can be accessed at www.blucab‐index.net.
Conclusion
The UBC® Rapid test alone has limited clinical utility for predicting the presence of BC. However, its combined use with BC risk factors including age, smoking status and haematuria provides a fast, highly accurate and non‐invasive tool for screening patients for primary LG‐BC and especially primary HG‐BC.