PDF(Pubmed)
Abstract：
UNASSIGNED: Monocyte-to-lymphocyte ratio (MLR) is a convenient and noninvasive inflammatory biomarker, and inflammation has been reported to be associated with prostate cancer (PCa). Our objective was to ascertain any possible correlation between PCa and MLR.
UNASSIGNED: We utilized data from the 1999-2020 cycles of the National Health and Nutrition Examination Survey (NHANES) regarding MLR and PCa. The independent associations of MLR and other inflammatory biomarkers (platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), system inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI)) with PCa was investigated using weighted multivariate logistic regression and generalized additive models. Receiver operating characteristic (ROC) curves were conducted to evaluate and contrast their diagnostic capabilities.
UNASSIGNED: The analysis we conducted comprised 25,367 persons in total. The mean MLR was 0.31 ± 0.14. The prevalence of PCa was 3.1%. A positive association was found between MLR and PCa (OR = 2.28; 95% CI: 1.44, 3.62). According to the interaction tests, age, body mass index (BMI), hypertension, diabetes, and smoking status did not significantly impact the relationship between MLR and PCa (all p for interaction >0.05). ROC analysis showed that MLR had a stronger discriminative ability and accuracy in predicting PCa than other inflammatory biomarkers (NLR, SII, AISI, PLR, and SIRI).
UNASSIGNED: MLR might be better than other inflammatory biomarkers (NLR, SIRI, AISI, PLR, and SII) in predicting PCa. American adults who have elevated levels of MLR, NLR, PLR, SII, and AISI should be aware that they have a greater risk of PCa.
UNASSIGNED: We utilized data from the 1999-2020 cycles of the National Health and Nutrition Examination Survey (NHANES) regarding MLR and PCa. The independent associations of MLR and other inflammatory biomarkers (platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), system inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI)) with PCa was investigated using weighted multivariate logistic regression and generalized additive models. Receiver operating characteristic (ROC) curves were conducted to evaluate and contrast their diagnostic capabilities.
UNASSIGNED: The analysis we conducted comprised 25,367 persons in total. The mean MLR was 0.31 ± 0.14. The prevalence of PCa was 3.1%. A positive association was found between MLR and PCa (OR = 2.28; 95% CI: 1.44, 3.62). According to the interaction tests, age, body mass index (BMI), hypertension, diabetes, and smoking status did not significantly impact the relationship between MLR and PCa (all p for interaction >0.05). ROC analysis showed that MLR had a stronger discriminative ability and accuracy in predicting PCa than other inflammatory biomarkers (NLR, SII, AISI, PLR, and SIRI).
UNASSIGNED: MLR might be better than other inflammatory biomarkers (NLR, SIRI, AISI, PLR, and SII) in predicting PCa. American adults who have elevated levels of MLR, NLR, PLR, SII, and AISI should be aware that they have a greater risk of PCa.
摘要：
■单核细胞与淋巴细胞比率（MLR）是一种方便且无创的炎症生物标志物，据报道，炎症与前列腺癌（PCa）有关。我们的目的是确定PCa和MLR之间的任何可能的相关性。
■我们使用了1999-2020年国家健康和营养调查（NHANES）关于MLR和PCa的数据。MLR和其他炎症生物标志物的独立关联（血小板与淋巴细胞比率（PLR），全身免疫炎症指数（SII），中性粒细胞与淋巴细胞比率（NLR），系统炎症反应指数（SIRI），使用加权多变量逻辑回归和广义累加模型研究了PCa的全身炎症综合指数（AISI）。进行受试者工作特征（ROC）曲线以评估和对比其诊断能力。
■我们进行的分析共有25,367人。平均MLR为0.31±0.14。PCa的患病率为3.1%。MLR与PCa呈正相关(OR=2.28;95%CI:1.44,3.62)。根据交互测试，年龄,体重指数（BMI），高血压,糖尿病,吸烟状况对MLR和PCa之间的关系没有显著影响(所有p均为交互作用>0.05)。ROC分析表明，MLR在预测PCa方面比其他炎症生物标志物具有更强的辨别能力和准确性(NLR，SII,AISI,PLR,和SIRI）。
■MLR可能优于其他炎症生物标志物（NLR，SIRI,AISI,PLR,和SII)预测PCa。MLR水平升高的美国成年人，NLR,PLR,SII,AISI应该意识到他们患PCa的风险更大。
■我们使用了1999-2020年国家健康和营养调查（NHANES）关于MLR和PCa的数据。MLR和其他炎症生物标志物的独立关联（血小板与淋巴细胞比率（PLR），全身免疫炎症指数（SII），中性粒细胞与淋巴细胞比率（NLR），系统炎症反应指数（SIRI），使用加权多变量逻辑回归和广义累加模型研究了PCa的全身炎症综合指数（AISI）。进行受试者工作特征（ROC）曲线以评估和对比其诊断能力。
■我们进行的分析共有25,367人。平均MLR为0.31±0.14。PCa的患病率为3.1%。MLR与PCa呈正相关(OR=2.28;95%CI:1.44,3.62)。根据交互测试，年龄,体重指数（BMI），高血压,糖尿病,吸烟状况对MLR和PCa之间的关系没有显著影响(所有p均为交互作用>0.05)。ROC分析表明，MLR在预测PCa方面比其他炎症生物标志物具有更强的辨别能力和准确性(NLR，SII,AISI,PLR,和SIRI）。
■MLR可能优于其他炎症生物标志物（NLR，SIRI,AISI,PLR,和SII)预测PCa。MLR水平升高的美国成年人，NLR,PLR,SII,AISI应该意识到他们患PCa的风险更大。
