Gül Murat, Altıntaş Emre, Kaynar Mehmet, Buğday Muhammet Serdar, Göktaş Serdar
Clinic of Urology, Van Training and Research Hospital, Van, Turkey.
Department of Urology, Selçuk University School of Medicine Konya, Turkey.
Turk J Urol. 2017 Sep;43(3):325-329. doi: 10.5152/tud.2017.14478. Epub 2017 Jul 31.
The pathology of urethral stricture disease is still unclear however progressive inflammation may contribute to the development of urethral stricture. The platelet-to- lymphocyte ratio (PLR) is a new and simple marker that indicates inflammation. In this study we aimed to investigate the predictive value of neutrophil to lymphocyte ratio (NLR) and PLR in patients with urethral stricture who underwent transurethral resection of prostate (TURP).
A total of 208 patients who underwent bipolar-TURP were included in this study. Patients who had previously undergone surgery due to any urethral pathology, posterior urethral strictures, previous or ongoing treatment for any cancer, hematologic disorders, presence of an active infection at the time of surgical intervention, and prior blood transfusion were excluded. PLR, NLR and red cell distribution width (RDW) levels were measured. In order to investigate the predictive values of NLR and PLR variables, binary logistic regression analysis was performed.
No statistically significant differences were observed between the groups in terms of age, NLR, RDW, prostate size and operative times. Statistically significant differences were presented only in the median PLR- values. For predicting urethral stricture, the optimal cut-off value was 112.5, (sensitivity: 0.84, specificity: 0.64; AUC=0.762, 95% CI 0.684-0.84).
In this study we showed that PLR can be used to determine urethral stricture as a cost-effective, common, and simple biomarker in patients after TURP.
尿道狭窄疾病的病理机制仍不明确,然而进行性炎症可能促使尿道狭窄的发展。血小板与淋巴细胞比值(PLR)是一种新的、简单的炎症指标。在本研究中,我们旨在探讨中性粒细胞与淋巴细胞比值(NLR)和PLR在接受经尿道前列腺切除术(TURP)的尿道狭窄患者中的预测价值。
本研究共纳入208例行双极TURP的患者。排除既往因任何尿道病变接受过手术、后尿道狭窄、曾接受或正在接受任何癌症治疗、血液系统疾病、手术干预时存在活动性感染以及既往有输血史的患者。测量PLR、NLR和红细胞分布宽度(RDW)水平。为了研究NLR和PLR变量的预测价值,进行二元逻辑回归分析。
两组在年龄、NLR、RDW、前列腺大小和手术时间方面未观察到统计学显著差异。仅在PLR中位数方面存在统计学显著差异。对于预测尿道狭窄,最佳截断值为112.5,(敏感性:0.84,特异性:0.64;AUC = 0.762,95% CI 0.684 - 0.84)。
在本研究中,我们表明PLR可作为一种经济有效、常见且简单的生物标志物,用于TURP术后患者尿道狭窄的判定。