良性前列腺增生患者尿液前列腺特异抗原水平与中性粒细胞与淋巴细胞比值、白细胞介素-6、肿瘤坏死因子-α的相关性及影响因素分析
The relationship and influencing factors analysis between urine prostate-specific antigenlevel and neutrophil-to-lymphocyte ratio, interleukin-6, tumor necrosis factor-alpha in patients with benign prostatic hyperplasia
摘要目的:分析良性前列腺增生(BPH)患者尿液前列腺特异抗原(u-PSA)与中性粒细胞与淋巴细胞比值(NLR)、白细胞介素(IL)-6、肿瘤坏死因子-α(TNF-α)的相关性,同时分析BPH的影响因素。方法:回顾性选取2023年1月至2024年1月四川省金堂县第一人民医院诊治的疑似BPH并接受检查的108例患者为研究对象,按照是否出现BPH将其分为BPH组(52例)和非BPH组(56例),比较两组的基线资料及血清前列腺特异抗原(s-PSA)、u-PSA、NLR、IL-6、TNF-α水平,采用Pearson检验分析u-PSA与NLR、IL-6、TNF-α的相关性,采用二元Logistic回归分析影响BPH发生的危险因素,建立受试者工作特征(ROC)曲线,分析各危险因素对BPH发生的预测效能。结果:BPH组s-PSA、u-PSA、NLR、IL-6、TNF-α水平高于非BPH组[( 3.23 ± 1.11)μg/L比(1.92 ± 0.88)μg/L、(23.21 ± 3.85)μg/L比(21.06 ± 3.18)μg/L、5.35 ± 2.72比4.10 ± 1.84、(9.41 ± 3.15)ng/L比(7.44 ± 2.57)ng/L、(13.41 ± 4.34)ng/L比(10.08 ± 4.01)ng/L],差异有统计学意义( P<0.01)。Pearson检验结果表明,u-PSA水平与NLR、IL-6、TNF-α水平呈正相关( r = 0.608、0.554、0.533, P<0.05)。Logistic回归分析结果表明,s-PSA、u-PSA、NLR、IL-6、TNF-α均是发生BPH的独立危险因素( P<0.01或<0.05)。ROC曲线分析结果表明,s-PSA、u-PSA、NLR、IL-6、TNF-α联合预测BPH的曲线下面积(AUC)为0.942,高于任一指标单独检测。 结论:u-PSA水平与BPH患者血清炎性反应指标NLR、IL-6、TNF-α具有相关性,且上述指标联合检测对BPH诊断具有较高的预测效能。
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abstractsObjective:To analyze the correlations between urine prostate-specific antigen (u-PSA) and the neutrophil-to-lymphocyte ratio (NLR), interleukin (IL) - 6, and tumor necrosis factor - alpha (TNF-α) in patients with benign prostatic hyperplasia (BPH), and to analyze the influencing factors of BPH.Methods:Clinical data of 108 patients suspected of having BPH who were diagnosed and treated at the Jintang County First People's Hospital from January 2023 to January 2024 were retrospectively analyzed. They were divided into the BPH group (52 cases) and the non-BPH group (56 cases) according to whether BPH occurred. The baseline data and the levels of serum prostate-specific antigen (s-PSA), u-PSA, NLR, IL-6 and TNF-α were compared between the two groups. Pearson test was used to analyze the correlation between u-PSA and NLR, IL-6, and TNF-α. Binary Logistic regression was used to analyze the risk factors affecting the occurrence of BPH. The receiver operating characteristic (ROC) curve was established to analyze the predictive efficacy of each risk factor for the occurrence of BPH.Results:The levels of s-PSA, u-PSA, NLR, IL-6 and TNF-α in the BPH group were higher than those in the non-BPH group: (3.23 ± 1.11) μg/L vs. (1.92 ± 0.88) μg/L, (23.21 ± 3.85) μg/L vs. (21.06 ± 3.18) μg/L, 5.35 ± 2.72 vs. 4.10 ± 1.84, (9.41 ± 3.15) ng/L vs. (7.44 ± 2.57) ng/L, (13.41 ± 4.34) ng/L vs. (10.08 ± 4.01) ng/L, there were statistical differences ( P<0.01). The Pearson test results indicated that the level of u-PSA was positively correlated with NLR, IL-6, and TNF-α ( r = 0.608, 0.554, 0.533, P<0.05). The results of Logistic regression analysis indicated that s-PSA, u-PSA, NLR, IL-6 and TNF-α were all independent risk factors for BPH ( P<0.01 or <0.05). The results of ROC curve analysis indicated that the area under the curve (AUC) of the combined prediction of BPH by s-PSA, u-PSA, NLR, IL-6 and TNF-α was 0.942, which was higher than that detected by any one of the indicators alone. Conclusions:The level of u-PSA is correlated with serum inflammatory markers NLR, IL-6 and TNF-α in BPH patients, and the combined detection of these markers can effectively predict the occurrence of BPH with high predictive power.
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