Citation

ÖZMAN O, TALAT Z (2019) New Parameters in Evaluation of PSA Decrease after Antibiotherapy;PSA half-life and PSA-ENT2.5. Int Arch Urol Complic 5:054. doi.org/10.23937/2469-5742/1510054

Copyright

© 2019 ÖZMAN O, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

RESEARCH ARTICLE | OPEN ACCESS DOI: 10.23937/2469-5742/1510054

New Parameters in Evaluation of PSA Decrease after Antibiotherapy; PSA half-life and PSA-ENT2.5

Oktay ÖZMAN1* and Zübeyr TALAT2

1Urology Clinic, G.O.P. Taksim Education and Research Hospital, Health Sciences University, İstanbul, Turkey

2Cerrahpaşa Medical Faculty, Department of Urology, Istanbul University, Istanbul, Turkey

Abstract

Introduction

Antibiotherapy has shown a clinically significant decrease in PSA levels in some patients. However, the clinical benefit of this decrease, which would increase the diagnostic efficacy of PSA, has not yet been established. To our knowledge, PSA half-life and PSA-ENT2.5 (expected normalization time according to 2.5 ng/mL cut-off value) were unexamined parameters. The aim of this study is to investigate the efficacy of PSA-ENT2.5 and PSA half-life after antibiotherapy for predicting prostate cancer diagnosis.

Material and method

64 patients with a PSA value in gray scale (2.5-10 ng/mL) were included in this prospective study. Two weeks of oral levofloxacin treatment was given to all of the patients. Twelve core prostate biopsies were performed after antibiotherapy in all cases. Patients were divided into two groups as biopsy-proven cancer patients and non-cancer biopsy groups, and were compared according to PSA-ENT2.5 and PSA half-life.

Results

The mean PSA half-life (624.6 ± 1062 days) was higher in the group with prostate cancer than in the group without prostate cancer (390.2 ± 476) (p = 0.49). PSA-ENT2.5 was higher in prostate cancer detected group (p = 0.16). There was no statistically significant difference between the two groups for other dynamic parameters (PSA reduction rate and value change). However, the most statistical powerfull parameter was PSA-ENT2.5 in all dynamic PSA parameters.

Conclusion

Antibiotherapy provides a clinically significant reduction in patients with PSA level gray scale (2.5-10 ng/mL). PSA half life and PSA-ENT2.5 are promising new parameters that can be used for this purpose. A larger scale prospective study is needed in this area.