Validation Study of Uromonitor in High Risk Microhematuria Patients

Bladder Cancer

Men over 40 years of age, and women over 50, smokers or former smokers with a smoking rate greater than 10 packs/year and the presence of microhematuria \>25 red blood cells per field in the microscopic analysis are at high risk of bladder cancer, so cystoscopy and uroTAC is advised in the AUA Guidelines. The investigators hypothesize if cystoscopy can be omitted in case of having a negative biomarker test and a normal uro-CT. Main objective: To determine sensitivity, specificity, positive and negative predictive value of Uromonitor (molecular DNA based urine marker) in the included population, in relation to the presence of urothelial cancer in the bladder, comparing it with cystoscopy.

1. Title: Validation study of Uromonitor in the early diagnosis of bladder cancer in high-risk patients with microhematuria. Version: 2.0. March 6, 2022. Main author: Felipe Villacampa Aubá. Department of Urology, University Clinic of Navarra (CUN). 2. Justification and context. Patients with microhematuria and smokers have a high risk of having bladder cancer (5-10%), so a cystoscopy and Urotac should be performed. Cystoscopy is an uncomfortable test, which is rejected by many patients. The aim is to assess whether a urine molecular marker, already validated in other situations, is capable of substituting cystoscopy, improving the study of these patients and avoiding uncomfortable and invasive diagnostic tests for the patient. 3. Hypotheses and research objectives. Hypothesis: Men over 40 years of age, and women over 50, smokers or ex-smokers with a smoking rate greater than 10 packs/year and the presence of microhematuria \>25 red blood cells per field in the microscopic analysis (high risk) can omit cystoscopy in case of having a negative biomarker test and a normal uro-CT. Main objective: To determine sensitivity, specificity, positive and negative predictive value of Uromonitor in the included population, in relation to the presence of urothelial cancer in the bladder, comparing it with cystoscopy. 4. Study design. This is a prospective observational study, in which the results of the Uromonitor test in urine are compared with the results of cystoscopy, a standard test in the population studied, to be able to detect urothelial cancer in the bladder. Patients seen at the University Clinic of Navarra by the Neurology Department (Pamplona and Madrid) with microhaematuria of more than 25 red blood cells per field will be included, being referred to urology department to study the risk of bladder cancer. There is the possibility of expanding the study to a center in Portugal with the same inclusion and exclusion criteria and the same protocol. This management is being carried out and will be confirmed throughout the study. 5. Population. Population studied for opportunistic screening in lung cancer, which, if presenting a urine sediment with more than 25 red cells hps, is considered to be at high risk for bladder cancer according to the guidelines of the American Urological Association (AUA) of 2020. 6. Variables. * Age * Sex * Date of birth * Smoking status (active smoker, ex-smoker) * Smoking rate * Red blood cells by field in microscopic analysis of urine * CT results * Urine cytology results * Cystoscopy results * Uromonitor results * Date of bladder TUR (if carried out) * Date of nephroureterectomy (if carried out) * Result of pathological anatomy (in case of biopsy or surgery) * Final diagnosis. 7. Data sources. For the clinical variables, the usual medical records will be used. For the results of the uromonitor, the results sent by the manufacturer will be used. 8. Study size. Assuming a prevalence of 7%, an expected sensitivity and specificity of 90%, and considering a confidence of 95% and a clinically acceptable precision of 12%, a sample size required for the study of 343 patients is estimated. 9. Data analysis. Quantitative clinical and demographic variables will be described by mean and standard deviation. Qualitative variables will be described by absolute and relative distribution frequencies. The sensitivity, specificity, positive predictive value and negative predictive value of the test under evaluation will be estimated, with their respective 95% confidence intervals. Statistical analyzes will be performed using Stata software (StataCorp. 2015. Stata Statistical Software: Release 14. College Station, TX: StataCorp LP).

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