You have accessJournal of UrologyUrothelial Cancer: Natural History & Pathophysiology/Marker1 Apr 2012391 CLINICAL UTILITY OF NMP22 FOR BLADDER CANCER SURVEILLANCE A MULTI-CENTER CROSS-SECTIONAL STUDY Eugene K. Cha, Christopher E. Barbieri, Michael Rink, Thomas F. Chromecki, Allison Dunning, Yair Lotan, Harun Fajkovic, Douglas S. Scherr, Madhu Mazumdar, and Shahrokh F. Shariat Eugene K. ChaEugene K. Cha New York, NY More articles by this author , Christopher E. BarbieriChristopher E. Barbieri New York, NY More articles by this author , Michael RinkMichael Rink New York, NY More articles by this author , Thomas F. ChromeckiThomas F. Chromecki Graz, Austria More articles by this author , Allison DunningAllison Dunning New York, NY More articles by this author , Yair LotanYair Lotan Dallas, TX More articles by this author , Harun FajkovicHarun Fajkovic St. Poelten, Austria More articles by this author , Douglas S. ScherrDouglas S. Scherr New York, NY More articles by this author , Madhu MazumdarMadhu Mazumdar New York, NY More articles by this author , and Shahrokh F. ShariatShahrokh F. Shariat New York, NY More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2012.02.455AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES The urinary biomarker NMP22 has been FDA-approved for the surveillance of patients with bladder cancer. However, the use of NMP22 has not been widely incorporated into clinical practice. We sought to employ decision curve analysis to determine the impact of NMP22 on clinical decision-making for the surveillance of bladder cancer patients using data from a prospective trial. METHODS The study included 668 patients with a history of non-muscle-invasive bladder cancer who underwent cystoscopy, urine cytology, and measurement of urinary NMP22 levels. We constructed several prediction models to estimate risk of bladder cancer. The base model was generated using patient characteristics (age, gender, race, and history of intravesical therapy); cytology and NMP22 were added to the base model to determine effects on predictive accuracy. Clinical net benefit was calculated by summing the benefits and subtracting the harms and weighting these by the threshold probability at which a patient or clinician would opt for cystoscopy. RESULTS Ninety-seven patients were found to have recurrence of bladder cancer (14.5%). In univariable analyses, NMP22 was the strongest predictor of bladder cancer presence (predictive accuracy 66.0%), followed by cytology (56.5%) and history of intravesical therapy (56.4%). In multivariable prediction models, NMP22 improved the predictive accuracy of the base model by 11.5% (AUC 59.2% to 70.7%, p<0.0001) and that of the base model plus cytology by 6.4% (AUC 64.3% to 70.7%, p=0.036). Decision curve analysis revealed that adding NMP22 to other models increased clinical benefit, particularly at higher threshold probabilities. CONCLUSIONS NMP22 is a strong, independent predictor of bladder cancer in patients undergoing surveillance. Addition of NMP22 improves the accuracy of standard predictors by a statistically and clinically significant margin. Decision curve analysis suggests that integration of NMP22 into clinical decision-making helps spare unnecessary cystoscopies, with minimal increased risk of missing a bladder cancer recurrence. © 2012 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 187Issue 4SApril 2012Page: e160 Advertisement Copyright & Permissions© 2012 by American Urological Association Education and Research, Inc.MetricsAuthor Information Eugene K. Cha New York, NY More articles by this author Christopher E. Barbieri New York, NY More articles by this author Michael Rink New York, NY More articles by this author Thomas F. Chromecki Graz, Austria More articles by this author Allison Dunning New York, NY More articles by this author Yair Lotan Dallas, TX More articles by this author Harun Fajkovic St. Poelten, Austria More articles by this author Douglas S. Scherr New York, NY More articles by this author Madhu Mazumdar New York, NY More articles by this author Shahrokh F. Shariat New York, NY More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...
Read full abstract