摘要
目的探讨平均血小板体积/血小板计数(MPV/PLT,PVI)联合前列腺特异性抗原(prostate specific antigen,PSA)对前列腺癌(prostate cancer,PCa)的诊断价值。方法纳入2022年6月—2023年6月孝感市中心医院67例PCa患者和79例良性前列腺增生(benign prostatic hyperplasia,BPH)患者。收集2组患者的一般临床资料、PSA、PVI等指标,通过统计学方法分析PVI与PCa临床病理特征之间的关系以及对PCa的诊断价值。结果PCa与BPH患者的年龄、高血压病史、糖尿病病史、吸烟史差异无统计学意义;与BPH患者相比,PCa患者的PVI更低,而NLR、SII、PSA均更高(P<0.05)。PSA灰区PCa患者与非PSA灰区PCa患者的中性粒细胞与淋巴细胞比值(neutrophil-lymphocyte ratio,NLR)、全身免疫炎症指数(systemic immune-inflammation Index,SII)差异无统计学意义;与非PSA灰区PCa组患者相比,PSA灰区PCa患者PVI下降不明显(P<0.05)。PVI与PCa患者的PSA、SII呈负相关,相关系数分别为-0.315、-0.435(P<0.05)。应用PVI、NLR、SII绘制受试者工作特征(ROC)曲线预测评估PCa时,PVI的曲线下面积(AUC)最大为0.725(P<0.01),最佳截断值为0.06,此时的灵敏度为65.8%,特异度为71.6%。应用PVI绘制ROC曲线预测评估PSA灰区PCa结果所示,AUC为0.726,最佳截断值为0.05,此时灵敏度及特异度分别为64.6%和68.4%(P<0.01)。结论PVI对PCa的诊断有预测价值,并且PVI在PSA灰区PCa中也有一定的预测价值,适当使用可提高PCa早期筛查的阳性率。
Objective To investigate the diagnostic value of mean platelet volume/platelet count(MPV/PLT,PVI)combined with prostate specific antigen(PSA)for prostate cancer(PCa).Methods This study included 67 patients with PCa and 79 patients with benign prostatic hyperplasia in Xiaogan Central Hospital from June 2022 to June 2023.General clinical data,PSA,PVI and other indexes of the two groups were collected,and the relationship between PVI and clinicopathological features of PCa as well as the diagnostic value of PCa were analyzed by statistical methods.Results There was no statistically significant difference in age,history of hypertension,history of diabetes,or history of smoking between PCa and BPH patients;PVI was lower,while NLR,SII,and PSA were higher in PCa patients compared to BPH patients(P<0.05).There was no statistically significant difference in NLR or SII between PCa in the PSA gray zone and PCa patients;Compared to patients in the PCa group,the decrease of PVI in PCa patients in the PSA gray zone was not significant(P<0.05).PVI was negatively correlated with PSA and SII of PCa patients,with correlation coefficients of-0.315 and-0.435,respectively(P<0.05).The ROC curve was plotted,and when PVI,NLR,and SII were applied to predictively assess PCa,the area under the curve(AUC)of PVI was the maximum of 0.725(P<0.01),and the optimal cut-off value was 0.06,at which time the sensitivity was 65.8%and the specificity was 71.6%.The results of applying PVI to draw the ROC curve for predictive assessment of PCa in the gray zone of PSA are shown,with an AUC of 0.726 and an optimal cut-off value of 0.05,at which time the sensitivity and specificity were 64.6%and 68.4%,respectively(P<0.01).Conclusion PVI has predictive value in the diagnosis of PCa,and PVI also has some predictive value in PCa in the gray zone of PSA.The appropriate use of PVI can improve the positive rate of early screening for PCa.
作者
王硕
魏卓
WANG Shuo;WEI Zhuo(The Postgraduate Training Base of Xiaogan Central Hospital,Jinzhou Medical University,Xiaogan,Hubei,432000,China;Department of Urology,Xiaogan Central Hospital)
出处
《临床泌尿外科杂志》
CAS
2024年第5期396-399,共4页
Journal of Clinical Urology
