Chronic obstructive pulmonary disease (COPD) is a chronic, progressive respiratory disease and the third leading cause of respiratory disease mortality. The diagnosis of COPD is changed to acute exacerbation of COPD (...Chronic obstructive pulmonary disease (COPD) is a chronic, progressive respiratory disease and the third leading cause of respiratory disease mortality. The diagnosis of COPD is changed to acute exacerbation of COPD (AECOPD) when respiratory symptoms become worse, beyond normal day-to-day variations and severely enough that changes in medication are required. Both neutrophils to lymphocyte ratio (NLR) and peripheral blood eosinophilia (PBE) are rapid and relatively inexpensive tests that can be easily applied in the clinical practice for the diagnosis and treatment of AECOPD patients. Furthermore, current studies found that NLR and PBE had a higher accuracy rate than other traditional markers (Leukocyte count and C-reactive protein) for the diagnosis and management of AECOPD. Besides, recent studies determined that NLR and PBE can be used for prediction of future exacerbations in COPD patients. This review aims to explore the current knowledge about the significance of NLR and PBE in AECOPD patients.展开更多
目的探讨人外周血早期中性粒细胞-淋巴细胞比值(neutrophil to lymphocyte ratio,NLR)、血小板-淋巴细胞比值(platelet to lymphocyte ratio,PLR)和中性粒细胞-淋巴细胞和血小板比值(neutrophils to lymphocytes and platelets ratio,N/...目的探讨人外周血早期中性粒细胞-淋巴细胞比值(neutrophil to lymphocyte ratio,NLR)、血小板-淋巴细胞比值(platelet to lymphocyte ratio,PLR)和中性粒细胞-淋巴细胞和血小板比值(neutrophils to lymphocytes and platelets ratio,N/LP)在重度创伤性颅脑损伤(severe traumatic brain injury,sTBI)患者早期结果中的预测价值。方法回顾性分析2014年6月-2016年12月中国医科大学第七临床学院神经外科收治的95例sTBI患者的临床资料。比较预后良好组(n=36)和预后不良组(n=59)患者的早期NLR、PLR和N/LP差异,分析影响预后相关危险因素并绘制森林图,采用多因素logsitic回归确定独立危险因素并构建临床预测模型;绘制出受试者工作特征曲线(receiver operating characteristic curve,ROC),分析并比较NLR、PLR和N/LP单独或联合其他指标构建出的不同临床预测模型的差异。结果sTBI预后良好组和预后不良组早期NLR、PLR和N/LP比较,差异均有统计学意义(P<0.05);多因素logsitic回归分析提示,年龄、入院格拉斯哥昏迷评分(Glasgow coma scale,GCS)、NLR、PLR和N/LP是影响sTBI患者早期结果的独立危险因素,差异有统计学意义(P<0.05)。根据多因素logstic回归分析构建出19个临床预后预测模型,其中NLR+PLR+N/LP及其联合指标(年龄和GCS)模型曲线下面积(area under curve,AUC)均高于同组其他模型,分别为0.912、0.935、0.933和0.954;Age+GCS+NLR+PLR+N/LP预测模型在所有组别中AUC最大,表明该模型预测患者预后的价值最高。结论NLR、PLR和N/LP的升高与sTBI不良预后相关;早期NLR、PLR及N/LP联合年龄和GCS评分在sTBI早期结果预测中具有重要价值。展开更多
文摘Chronic obstructive pulmonary disease (COPD) is a chronic, progressive respiratory disease and the third leading cause of respiratory disease mortality. The diagnosis of COPD is changed to acute exacerbation of COPD (AECOPD) when respiratory symptoms become worse, beyond normal day-to-day variations and severely enough that changes in medication are required. Both neutrophils to lymphocyte ratio (NLR) and peripheral blood eosinophilia (PBE) are rapid and relatively inexpensive tests that can be easily applied in the clinical practice for the diagnosis and treatment of AECOPD patients. Furthermore, current studies found that NLR and PBE had a higher accuracy rate than other traditional markers (Leukocyte count and C-reactive protein) for the diagnosis and management of AECOPD. Besides, recent studies determined that NLR and PBE can be used for prediction of future exacerbations in COPD patients. This review aims to explore the current knowledge about the significance of NLR and PBE in AECOPD patients.
文摘目的探讨人外周血早期中性粒细胞-淋巴细胞比值(neutrophil to lymphocyte ratio,NLR)、血小板-淋巴细胞比值(platelet to lymphocyte ratio,PLR)和中性粒细胞-淋巴细胞和血小板比值(neutrophils to lymphocytes and platelets ratio,N/LP)在重度创伤性颅脑损伤(severe traumatic brain injury,sTBI)患者早期结果中的预测价值。方法回顾性分析2014年6月-2016年12月中国医科大学第七临床学院神经外科收治的95例sTBI患者的临床资料。比较预后良好组(n=36)和预后不良组(n=59)患者的早期NLR、PLR和N/LP差异,分析影响预后相关危险因素并绘制森林图,采用多因素logsitic回归确定独立危险因素并构建临床预测模型;绘制出受试者工作特征曲线(receiver operating characteristic curve,ROC),分析并比较NLR、PLR和N/LP单独或联合其他指标构建出的不同临床预测模型的差异。结果sTBI预后良好组和预后不良组早期NLR、PLR和N/LP比较,差异均有统计学意义(P<0.05);多因素logsitic回归分析提示,年龄、入院格拉斯哥昏迷评分(Glasgow coma scale,GCS)、NLR、PLR和N/LP是影响sTBI患者早期结果的独立危险因素,差异有统计学意义(P<0.05)。根据多因素logstic回归分析构建出19个临床预后预测模型,其中NLR+PLR+N/LP及其联合指标(年龄和GCS)模型曲线下面积(area under curve,AUC)均高于同组其他模型,分别为0.912、0.935、0.933和0.954;Age+GCS+NLR+PLR+N/LP预测模型在所有组别中AUC最大,表明该模型预测患者预后的价值最高。结论NLR、PLR和N/LP的升高与sTBI不良预后相关;早期NLR、PLR及N/LP联合年龄和GCS评分在sTBI早期结果预测中具有重要价值。