Can C, Baseskioglu B, Yılmaz M, Colak E, Ozen A, Yenilmez A
Department of Urology, Osmangazi University Faculty of Medicine, Eskişehir, Turkey.
Urol Int. 2012;89(4):468-72. doi: 10.1159/000343278. Epub 2012 Nov 2.
To predict the invasiveness of urothelial bladder carcinoma using a logistic regression model on preoperative peripheral blood samples.
Hospital data of patients operated for urothelial carcinoma were reviewed retrospectively. Preoperative blood samples were collected before the first cystoscopic examination. Any kind of infection or inflammation was an exclusion criterion. Patients were grouped as having a non-muscle-invasive or muscle-invasive urothelial carcinoma. The mean age was 69 years and was determined as the cut-off value. According to receiver operating characteristic curves, threshold points were determined for lymphocytes, neutrophil count, neutrophil-to-lymphocyte ratio (NLR), thrombocytes and mean platelet volume. Demographic specialties, parameters obtained from blood samples, tumor size and multiplicity were evaluated and significant parameters were put into a logistic regression model.
The study group consisted of 80 non-muscle-invasive and 102 muscle-invasive patients. Age (≤69 vs. >69), female gender, NLR (2.57), mean platelet volume (7.9/fl) and platelet count (400,000/µl) were significant parameters and put in a model. Using odds ratios, the probability of tumor invasiveness was calculated by a formula.
Age, female gender, NLR and platelet count were found to be the predictors of invasiveness of urothelial carcinoma.
使用逻辑回归模型对术前外周血样本进行分析，以预测尿路上皮膀胱癌的侵袭性。
回顾性分析接受尿路上皮癌手术患者的医院数据。在首次膀胱镜检查前采集术前血样。任何类型的感染或炎症均作为排除标准。患者被分为非肌层浸润性或肌层浸润性尿路上皮癌。平均年龄为69岁，并将其确定为临界值。根据受试者工作特征曲线，确定淋巴细胞、中性粒细胞计数、中性粒细胞与淋巴细胞比值（NLR）、血小板和平均血小板体积的阈值点。评估人口统计学特征、血样参数、肿瘤大小和多发性，并将显著参数纳入逻辑回归模型。
研究组包括80例非肌层浸润性患者和102例肌层浸润性患者。年龄（≤69岁与>69岁）、女性性别、NLR（2.57）、平均血小板体积（7.9/fl）和血小板计数（400,000/µl）是显著参数，并被纳入模型。使用比值比，通过公式计算肿瘤侵袭的概率。
年龄、女性性别、NLR和血小板计数被发现是尿路上皮癌侵袭性的预测因素。
