Mp09-10 Using One’s Own Facilities: Correlation of Ipss to Home-Based Uroflowmetry Based on a Large Set of Patient-Generated Data Using an Audio-Based Smart Phone Application

You have accessJournal of UrologyBenign Prostatic Hyperplasia: Epidemiology, Evaluation & Medical Non-surgical Therapy (MP09)1 May 2024MP09-10 USING ONE'S OWN FACILITIES: CORRELATION OF IPSS TO HOME-BASED UROFLOWMETRY BASED ON A LARGE SET OF PATIENT-GENERATED DATA USING AN AUDIO-BASED SMART PHONE APPLICATION Austin G. Kazarian, Andrew Murphy, Min G. Kim, Karen Doo, Kenneth Goldberg, Claus G. Roehrborn, and Ramy Goueli Austin G. KazarianAustin G. Kazarian , Andrew MurphyAndrew Murphy , Min G. KimMin G. Kim , Karen DooKaren Doo , Kenneth GoldbergKenneth Goldberg , Claus G. RoehrbornClaus G. Roehrborn , and Ramy GoueliRamy Goueli View All Author Informationhttps://doi.org/10.1097/01.JU.0001008920.55771.18.10AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: In-office uroflowmetry (IOUF) is commonly used with International Prostate Symptom Score (IPSS) questionnaires for assessment of voiding. However, IOUF uses a single time point and requires office resources. Therefore, we compared a patient-directed at-home uroflowmetry versus IOUF for correlation to IPSS to assess for improved correlation. METHODS: A subgroup of men at our institution with validated IPSS results and uroflowmetry data between March 2016 and October 2023 who had used the proudP (pP) application were included. Volunteers were instructed to download the "proudP" application on their smartphones. During urination, the patient places his phone 3 feet away from the toilet bowl and urinates directly into the water. The device captures the sound and generates a uroflowmetry flow curve and parameters including maximum flow rate (Qmax), using a proprietary algorithm (Young Ju Lee, 2020). Obstructive and irritative subscores were calculated from IPSS results. pP and IOUF records measured within 30 days prior to the in-clinic IPSS response date were analyzed. Spearman rank coefficients assessed correlation of Qmax from uroflowmetry measurements to IPSS. RESULTS: A total of 38, 864 pP, 616 IPSS, and 509 IOUF records from 177 men were abstracted from the record. For the correlation of IOUF to IPSS, a total of 81 IPSS records measured by 61 patients were mapped to 86 IOUF results while for pP to IPSS a total of 57 IPSS records measured by 43 patients were mapped to 5743 pP results. Correlations and trends are outlined in Figure 1. Correlation for uroflowmetry to IPSS total, obstructive, irritative values had similar trends between techniques, but stronger correlation with pP measurements. For IPSS subscores, weak stream and intermittency had the highest correlation with uroflowmetry. CONCLUSIONS: Smartphone-based uroflowmetry measurements may exhibit a closer correlation to IPSS survey responses than IOUF. Additionally, the impracticality of repeated measurements with IOUF might hinder an accurate reflection of actual voiding behaviors. Potential advantages of at-home measurements include reduced costs and resource preservation. Further studies are warranted to explore this approach. Download PPT Source of Funding: None © 2024 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 211Issue 5SMay 2024Page: e130 Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc.Metrics Author Information Austin G. Kazarian More articles by this author Andrew Murphy More articles by this author Min G. Kim More articles by this author Karen Doo More articles by this author Kenneth Goldberg More articles by this author Claus G. Roehrborn More articles by this author Ramy Goueli More articles by this author Expand All Advertisement PDF downloadLoading ...