ASSOCIATION OF ERECTILE DYSFUNCTION AND PREMATURE EJACULATION IN MEN WITH CHRONIC PROSTATITIS

Background and objective Although several studies have reported that sexual dysfunction is associated with chronic prostatitis (CP), specific differences in self-reported questionnaires and correlation with CP are not well-known. This study aimed to evaluate the prevalence and correlation of sexual dysfunction in men with CP. Material and methodsThis cross-sectional study included 892 men who visited our health care center, who were then divided into two groups. In Group 1, subjects are characterized with National Institutes of Health Chronic Prostatitis Symptom Index (NIH-CPSI) pain score ≥4, and Group 2 subjects are characterized with NIH-CPSI<4. Intravaginal Ejaculation Latency Time, Premature Ejaculatory Diagnostic Tool (PEDT), Male Sexual Health Questionnaire-ejaculation, International Index of Erectile Function (IIEF), and IIEF-5 were self-reported by participants. Total testosterone (TT) level was also checked. Data obtained were compared between the groups and the relationships identified. ResultsThe mean age was 52.8±7.3 years, and CP was prevalent in 136 (15.2%) of the 892 participants. All questionnaire scores showed worse results in Group 1 compared to those in Group 2 (p<0.05). In total, the prevalence of erectile dysfunction (IIEF-5≤21) and premature ejaculation (PEDT≥9) were 508 (56.3%) and 290 (32.5%), respectively. A higher prevalence of erectile dysfunction (71.3% vs. 53.6%, p<0.001) and premature ejaculation (44.8% vs. 30.3%, p=0.001) was identified in Group 1 than in Group 2. By correlation analysis, IIEF-5 (r=−0.208, p=0.015) and TT (r=−0.331, p=0.011) showed correlation with NIH-CPSI pain score in Group 1. ConclusionThe prevalence and severity of erectile dysfunction and premature ejaculation were higher in Group 1. Moreover, the IIEF-5 showed correlation with NIH-CPSI pain score. These results indicate that screening for erectile dysfunction and premature ejaculation in men with CP is useful for early detection of comorbidities.