Andrology Centre, Tartu University Hospital, Tartu, Estonia.
Department of Microbiology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia.
Andrology. 2017 Sep;5(5):958-963. doi: 10.1111/andr.12386. Epub 2017 Jul 14.
Prostatitis classification as well as treatment decisions are primarily based on differentiation of the inflammatory status in prostate-specific material. At the same time, methods used for detection of inflammation are semi-quantitative and not finally standardized. The main aim of this study was to suggest more precise methods for detection of prostate inflammatory status. Additional aims were to define optimal cut-off points of various tests in order to discriminate between inflammatory and non-inflammatory condition and to analyze the prevalence of inflammatory prostatitis in the groups of symptomatic prostatitis, lower urinary tract symptoms and control subjects. This prospective study included 541 patients (with prostatitis symptoms, with lower urinary tract symptoms and controls) at Tartu University Hospital, Estonia. Leukocyte counts in first-void urine, expressed prostatic secretion and post-massage urine as well as interleukin-6 in prostate secretion specimens were determined. Based on ROC curve analysis, we detected potential normal values for leukocytes in expressed prostatic secretion (<0.5 m/mL), leukocytes in post-massage urine (<4 WBCs per HPF) and IL-6 in prostatic secretion (<50 nmol/mL). Using these newly defined normal values, we detected inflammatory reaction in prostate-specific materials in 24.3%, 53.4% and 69% in control, lower urinary tract symptoms and prostatitis group, respectively.
only subjects with prostatic fluid volume >0.04 mL were included. We propose standardized method for analysis of inflammatory reaction in prostate-specific materials. Based on these newly defined normal values, we verified high prevalence of inflammatory forms of disease in both study groups, but also high prevalence of asymptomatic inflammatory prostatitis among control group of Estonian men. Combining results of analysis of the different inflammatory markers from available prostate-specific materials allows us to differentiate better between inflammatory and non-inflammatory forms of prostate diseases and hence to choose more precise treatment strategies.
探讨更为精确的前列腺炎症状态检测方法,确定各项检测的最佳截断值,以区分炎症和非炎症状态,并分析前列腺炎症状、下尿路症状和对照组中炎症性前列腺炎的患病率。
这是一项在爱沙尼亚塔尔图大学医院进行的前瞻性研究,纳入了 541 例(前列腺炎症状、下尿路症状和对照组)患者。检测首段尿、前列腺按摩后尿及前列腺液中的白细胞计数、白细胞介素-6(IL-6)。基于 ROC 曲线分析,我们确定了前列腺按摩后尿白细胞(<4 WBCs/HPF)、前列腺液白细胞(<0.5 m/mL)和 IL-6(<50 nmol/mL)的正常值。使用这些新定义的正常值,我们发现对照组、下尿路症状组和前列腺炎组中分别有 24.3%、53.4%和 69%的患者存在前列腺特异性物质中的炎症反应。
仅纳入了前列腺液体积>0.04 mL 的患者。我们提出了一种标准化的前列腺特异性物质炎症反应分析方法。基于这些新定义的正常值,我们验证了在研究组中炎症性疾病的高患病率,以及在爱沙尼亚男性对照组中无症状炎症性前列腺炎的高患病率。综合分析不同前列腺特异性物质中的炎症标志物的结果,使我们能够更好地区分炎症和非炎症性前列腺疾病,并因此选择更精确的治疗策略。