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PurposeComplications after prostate biopsy have increased and various causes have been reported. Growing evidence of increasing quinolone resistance is of particular concern. In the current retrospective study, we evaluated the incidence of infectious complications after prostate biopsy and identified the risk factors.Materials and MethodsThe study population included 1,195 patients who underwent a prostate biopsy between January 2007 and December 2012 at Chung-Ang University Hospital. Cases of febrile UTI that occurred within 7 days were investigated. Clinical information included age, prostate-specific antigen, prostate volume, hypertension, diabetes, body mass index, and biopsy done in the quinolone-resistance era. Patients received quinolone (250 mg intravenously) before and after the procedure, and quinolone (250 mg) was orally administered twice daily for 3 days. We used univariate and multivariate analysis to investigate the predictive factors for febrile UTI.ResultsFebrile UTI developed in 39 cases (3.1%). Core numbers increased from 2007 (8 cores) to 2012 (12 cores) and quinolone-resistant bacteria began to appear in 2010 (quinolone-resistance era). In the univariate analysis, core number≥12 (p=0.024), body mass index (BMI)>25 kg/m2 (p=0.004), and biopsy done in the quinolone-resistance era (p=0.014) were significant factors. However, in the multivariate analysis adjusted for core number, the results were not significant, with the exception of BMI>25 kg/m2 (p=0.011) and biopsy during the quinolone-resistance era (p=0.035), which were significantly associated with febrile UTI.ConclusionsQuinolone resistance is the main cause of postbiopsy infections in our center. We suggest that further evaluation is required to validate similar trends. Novel strategies to find alternative prophylactic agents are also necessary.

Purpose To determine the clinical significance and correlation between the Prostate Health Index (PHI) and Gleason score in patients with a prostate-specific antigen (PSA) value of 2.5–10 ng/mL. Materials and Methods This retrospective analysis included 114 patients who underwent biopsy after completion of the PHI from November 2018 to July 2019. Various parameters such as PSA, PHI, PSA density, free PSA, p2PSA, and %free PSA were collected, and correlations with biopsy Gleason score and cancer detection rates were investigated. Results Baseline characteristics were comparable between PHI groups (0–26.9 [n=11], 27.0–35.9 [n=17], 36.0–54.9 [n=50], and ≥55.0 [n=36]). A total of 37 patients (32.5%) were diagnosed with prostate cancer, and 28 (24.6%) were diagnosed with clinically significant prostate cancer (CSPC, Gleason score ≥7) after prostate biopsy. The cancer detection rate gradually increased with a corresponding increase in the PHI (18%, 24%, 30%, and 44%, respectively). The same pattern was observed with detecting CSPC (0%, 18%, 26%, and 33%, respectively). There was no CSPC in the groups with PHI <27.0, and Gleason score 7 began to appear in groups with PHI ≥27.0. In particular, patients with Gleason score 8 and 9 were distributed only in the groups with PHI ≥36.0. Conclusions The diagnostic accuracy of detection of CSPC could be increased when prostate biopsy is performed in patients with a PHI ≥36.0. In this study, there was a clear Gleason score difference when the PHI cutoff value was set to 27.0 or 36.0.

Purpose: To investigate the effect of bone metastasis (BM) on survival outcomes in patients with metastatic renal cell carcinoma (mRCC) treated with first-line tyrosine kinase inhibitors (TKI) by performing propensity-score matching (PSM) analysis. Materials & Methods: We retrospectively reviewed 1,151 patients with mRCC who were treated with first-line TKI from December 2006 to September 2016. After excluding 135 patients, 1,016 patients with mRCC were finally analyzed. The primary and secondary end points were overall survival (OS) and progression-free survival (PFS), respectively. After 1:1 PSM analysis, survival outcomes were compared between patients with BM (n = 237) and without BM (n = 237). Multivariate Cox regression analysis was used to determine predictors of survival. Results: Among 1,016 total patients, 27.5% (n = 279) had BM. Before PSM, patients with BM had worse OS outcomes than those without BM. Even after PSM, OS was significantly poorer in patients with BM compared to those without BM. Of note, the presence of BM was identified as an independent predictor of OS (HR=1.36), in addition to prior nephrectomy, sarcomatoid differentiation, and IMDC risk group. However, there were no differences in PFS according to the presence of BM after PSM. In the subgroup analysis, only intermediate IMDC risk group showed significant differences in OS according to the presence of BM. Conclusion: Based on PSM analysis, the presence of BM negatively affected OS outcomes in patients with mRCC treated with first-line TKI, particularly in the IMDC intermediate risk group.