PD47-12 PREDICTING MAJOR ISCHEMIC PRIAPISM: A NOVEL DYNAMIC NOMOGRAM BASED ON RECURRENT ISCHEMIC PRIAPISM RISK FACTORS (2022)

You have accessJournal of UrologyCME1 May 2022PD47-12 PREDICTING MAJOR ISCHEMIC PRIAPISM: A NOVEL DYNAMIC NOMOGRAM BASED ON RECURRENT ISCHEMIC PRIAPISM RISK FACTORS Laurence Hou, Yuezhou Jing, Bruce Trock, and Arthur Burnett Laurence HouLaurence Hou More articles by this author , Yuezhou JingYuezhou Jing More articles by this author , Bruce TrockBruce Trock More articles by this author , and Arthur BurnettArthur Burnett More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002615.12AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Recurrent ischemic priapism (RIP) is a form of ischemic priapism that manifests as repetitive undesired erections with intervening periods of detumescence. RIP presents with varying degrees of severity that may impact treatment efficacy and predict major ischemic priapism (MIP). We sought to describe MIP risk factors and create a prognostic model for future MIP events. METHODS: We performed a retrospective chart review of RIP patients who were seen at a single academic institution from May 2006 to November 2020. We defined RIP as having at least two priapism events over time. Data extracted included demographics, priapism characteristics, comorbidities, follow-up time, and presence of MIP events (erection ≥6 hours). We performed univariable and multivariable Poisson regression analysis to identify risk factors for developing MIP events. Index variables were chosen based on the most common RIP presentations. Clinically significant factors determined from multivariable Poisson regression analysis were used to create a dynamic nomogram using the R package, DynNom. RESULTS: A total of 113 patients diagnosed with RIP were identified. The median age was 29 years (interquartile range [IQR] 22, 41) and median follow-up was 3.0 person-years (IQR 0.5, 7.3). Priapism etiology was idiopathic in 52 patients (46%), sickle cell disease (SCD) in 44 (39%), drug induced in 14 (12%), and neurogenic in 3 (3%). There were 225 recorded MIP events over 557.5 patient-years of follow-up. Multivariable Poisson regression analysis showed that marijuana use, smoking, SCD etiology, bimodal age ranges of onset, and increasing RIP duration were associated with increased incidence rate ratio of MIP (Table 1). Priapism frequency was not a significant predictor of MIP (p=0.52). Patient risk factors can be put in the nomogram to predict the number of MIP events expected over one year (https://jerry-jing.shinyapps.io/MIP-DynNomapp/). CONCLUSIONS: Our study, which conceivably applies the largest RIP database to date, shows that several risk factors contribute to increased MIP events. The dynamic nomogram uses RIP severity and other factors to quantify MIP risk, which may assist clinicians in managing priapism. Further validation of the nomogram is planned. Source of Funding: None © 2022 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 207Issue Supplement 5May 2022Page: e798 Advertisement Copyright & Permissions© 2022 by American Urological Association Education and Research, Inc.MetricsAuthor Information Laurence Hou More articles by this author Yuezhou Jing More articles by this author Bruce Trock More articles by this author Arthur Burnett More articles by this author Expand All Advertisement PDF DownloadLoading ...