首页> 外文OA文献 >Assessment of PSIM (Prostatic Systemic Inflammatory Markers) Score in Predicting Pathologic Features at Robotic Radical Prostatectomy in Patients with Low-Risk Prostate Cancer Who Met the Inclusion Criteria for Active Surveillance
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Assessment of PSIM (Prostatic Systemic Inflammatory Markers) Score in Predicting Pathologic Features at Robotic Radical Prostatectomy in Patients with Low-Risk Prostate Cancer Who Met the Inclusion Criteria for Active Surveillance

机译:PSIM(前列腺全身炎症标志物)评估在低风险前列腺癌患者中达到主动监测纳入标准的低危前列腺癌患者中的病理特征评价

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摘要

Background: circulating levels of lymphocytes, platelets and neutrophils have been identified as factors related to unfavorable clinical outcome for many solid tumors. The aim of this cohort study is to evaluate and validate the use of the Prostatic Systemic Inflammatory Markers (PSIM) score in predicting and improving the detection of clinically significant prostate cancer (csPCa) in men undergoing robotic radical prostatectomy for low-risk prostate cancer who met the inclusion criteria for active surveillance. Methods: we reviewed the medical records of 260 patients who fulfilled the inclusion criteria for active surveillance. We performed a head-to-head comparison between the histological findings of specimens after radical prostatectomy (RP) and prostate biopsies. The PSIM score was calculated on the basis of positivity according to cutoffs (neutrophil-to-lymphocyte ratio (NLR) 2.0, platelets-to-lymphocyte ratio (PLR) 118 and monocyte-to-lymphocyte-ratio (MLR) 5.0), with 1 point assigned for each value exceeding the specified threshold and then summed, yielding a final score ranging from 0 to 3. Results: median NLR was 2.07, median PLR was 114.83, median MLR was 3.69. Conclusion: we found a significantly increase in the rate of pathological International Society of Urological Pathology (ISUP) ≥ 2 with the increase of PSIM. At the multivariate logistic regression analysis adjusted for age, prostate specific antigen (PSA), PSA density, prostate volume and PSIM, the latter was found the sole independent prognostic variable influencing probability of adverse pathology.
机译:背景:淋巴细胞,血小板和中性粒细胞循环水平已被确定为与不利的临床结果对于很多实体瘤的因素。此队列研究的目的是评估和验证预测和改善临床显著前列腺癌(csPCa)的检测男性接受机器人前列腺癌根治术低风险前列腺癌的使用前列腺全身炎症标志物(PSIM)得分谁符合入选标准的主动监测。方法:我们回顾了260例谁符合纳入标准动态监测的医疗记录。我们进行的标本前列腺癌根治术(RP)和前列腺活检后的组织学发现之间的头对头比较。在PSIM评分计算阳性的基础上,根据截断(嗜中性粒细胞向淋巴细胞的比例(NLR)2.0,血小板对淋巴细胞的比例(PLR)118和单核细胞向淋巴细胞比率(MLR)5.0)中,用分配给每一个值超过指定阈值1点,然后相加,产生一个最终得分范围从0到3。结果:中值NLR为2.07,中值是PLR 114.83,中位数是MLR 3.69。结论:我们发现在泌尿病理病理国际协会(ISUP)≥2与PSIM的增加速度显著增加。在调整年龄的多变量logistic回归分析,前列腺特异性抗原(PSA),PSA密度,前列腺体积和PSIM,后者发现不良病理的唯一独立预后变量影响的概率。

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