You have accessJournal of UrologyCME1 Apr 2023MP07-02 PREDICTING RISK FOR PATIENTS UNDERGOING SACROCOLPOPEXY FROM FRAILTY INDEXES Rishabh Simhal, Kerith Wang, Maria D'Amico, Courtney Capella, Radhika Ragam, Joon Yau Leong, Yash Shah, Whitney Smith, Patrick Shenot, and Alana Murphy Rishabh SimhalRishabh Simhal More articles by this author , Kerith WangKerith Wang More articles by this author , Maria D'AmicoMaria D'Amico More articles by this author , Courtney CapellaCourtney Capella More articles by this author , Radhika RagamRadhika Ragam More articles by this author , Joon Yau LeongJoon Yau Leong More articles by this author , Yash ShahYash Shah More articles by this author , Whitney SmithWhitney Smith More articles by this author , Patrick ShenotPatrick Shenot More articles by this author , and Alana MurphyAlana Murphy More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003222.02AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Sacrocolpopexy (SCP) is a definitive treatment option for pelvic organ prolapse (POP). Because there are less invasive, albeit less definitive treatment options, a frailty index that best predicts outcomes and mortality for patients desiring SCP is useful to aid in decision making. METHODS: Open and minimally invasive SCPs performed from 2006 to 2020 were identified inthe National Surgical Quality Improvement Program (NSQIP) database. Frailty was determined by the NSQIP modified frailty index (mFI-5), a validated 5-item score including points for diabetes, impaired functional status, COPD, CHF, and hypertension, and by the revised surgical Risk Analysis Index (RAI-rev), a validated score accounting for patient comorbidities, age, and functional status. As previously published, patients with mFI-5 scores of 2 or more and RAI-rev scores of 26 or more were considered “frail.” Univariate logistic regression and t-test analyses were performed for mFI-5 and RAI-rev as predictors of surgical complications, 30-day readmissions, 30-day mortality, and hospital length of stay (LOS). RESULTS: 9,082 SCPs were identified in the database. In total, 5.2% of patients experienced minor complications (superficial SSIs, pneumonia, UTIs, bleeding requiring transfusion, or AKIs), and 1.4% of patients experienced major complications (sepsis, DVT, stroke, reintubation, renal failure, myocardial infarction, pulmonary embolism, septic shock, wound dehiscence, deep wound infections, or cardiac arrest). The 30-day readmission and mortality rates were 2.7% and 0.02%, respectively. On univariate logistic regression, a frail mFI-5 score was not predictive of minor complications, major complications, 30-day readmissions or mortality. However, a frail compared to a non-frail mFI-5 was associated with a higher LOS (1.6 vs 1.4, p=.008). A frail compared to a non-frail RAI-rev was predictive of major complications [OR 2.52; 95% CI 1.34-4.72; p=0.004], 30-day readmissions [OR 2.62, 95% CI 1.61-4.26; p=.0001], 30-day mortality [OR 26.8; 95% CI 1.67-428.88; p=0.02], and LOS (1.8 vs 1.4 days, p=.0008). CONCLUSIONS: The RAI-rev is a better predictor than the mFI-5 for major complications, readmission rate, mortality, and hospital LOS and may help in the decision making and risk counseling for patients POP considering an SCP. Source of Funding: n/a © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e84 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Rishabh Simhal More articles by this author Kerith Wang More articles by this author Maria D'Amico More articles by this author Courtney Capella More articles by this author Radhika Ragam More articles by this author Joon Yau Leong More articles by this author Yash Shah More articles by this author Whitney Smith More articles by this author Patrick Shenot More articles by this author Alana Murphy More articles by this author Expand All Advertisement PDF downloadLoading ...