Mp45-18 predicting Intracavernosal Injection Therapy Failure by Evaluating Medical Risk Factors in Men With Erectile Dysfunction

Abstract

each parameter. We used a multivariable model to identifiy independent predictors of TD, which included age, MS components, NLR, LMR, and MHR.RESULTS: 298 consecutive patients were included in the analysis. Mean age was 59.7AE 11.9, Mean baseline TT was 439AE168 ng/dl and the prevalence of TD in our sample was 18.4%(55/ 298). MS was observed in 113 (32.2%) of subjects and was strongly associated with TD (OR[4.32, p<0.001). A total of 141 patients (47.8%) had hypertension; 108(36.6)% diabetes mellitus (DM), 99(33.6%) had obesity, 127(43%) hypertriglyceridemia and 82(28.1%) low HDL. Mean NLR, MLR and MHR were significantly lower in subjects with TD . ROC analysis revealed that NLR, MHR and LMR have similar accuracy to predict TD. The best cutt-offs, overall acuracy and diagnostic propeperties of the hematimetrics are described in the table. On multivariable analysis NLR(OR[2.6), MLR(OR[1.85) MHR(OR[1.84) and presence of MetS(OR[3.7) remained significant predictors of TD. Age was not associated with TD.CONCLUSIONS: In our patient population NLR, MLR and MHR were independent predictors of TD. These findings suggest an association of systemic inflammation and TD regardless of MS components. Moreover, such hematimetic parameters could be used as surrogate markers of TD.