PDF(Pubmed)
Abstract：
UNASSIGNED: The study comprehensively evaluated the prognostic roles of the platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), basophil-to-lymphocyte ratio (BLR), and eosinophil-to-lymphocyte ratio (ELR) in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD).
UNASSIGNED: Six hundred and nineteen patients with AECOPD and 300 healthy volunteers were retrospectively included into the study. The clinical characteristics of the patients with AECOPD and the complete blood counts (CBCs) of the healthy volunteers were collected. The associations of PLR, NLR, MLR, BLR, and ELR with airflow limitation, hospital length of stay (LOS), C-reactive protein (CRP), and in-hospital mortality in patients with AECOPD were analyzed.
UNASSIGNED: Compared with the healthy volunteers, PLR, NLR, MLR, BLR, and ELR were all elevated in COPD patients under stable condition. PLR, NLR, MLR, and BLR were further elevated while ELR was lowered during exacerbation. In the patients with AECOPD, PLR, NLR, and MLR were positively correlated with hospital LOS as well as CRP. In contrast, ELR was negatively correlated with hospital LOS as well as CRP. Elevated PLR, NLR, and MLR were all associated with more severe airflow limitation in AECOPD. Elevated PLR, NLR, and MLR were all associated with increased in-hospital mortality while elevated ELR was associated with decreased in-hospital mortality. Binary logistic regression analysis showed that smoking history, FEV1% predicted, pneumonia, pulmonary heart disease (PHD), uric acid (UA), albumin, and MLR were significant independent predictors ofin-hospital mortality. These predictors along with ELR were used to construct a nomogram for predicting in-hospital mortality in AECOPD. The nomogram had a C-index of 0.850 (95% CI: 0.799-0.901), and the calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC) further demonstrated its good predictive value and clinical applicability.
UNASSIGNED: In summary, PLR, NLR, MLR, and ELR served as useful biomarkers in patients with AECOPD.
UNASSIGNED: Six hundred and nineteen patients with AECOPD and 300 healthy volunteers were retrospectively included into the study. The clinical characteristics of the patients with AECOPD and the complete blood counts (CBCs) of the healthy volunteers were collected. The associations of PLR, NLR, MLR, BLR, and ELR with airflow limitation, hospital length of stay (LOS), C-reactive protein (CRP), and in-hospital mortality in patients with AECOPD were analyzed.
UNASSIGNED: Compared with the healthy volunteers, PLR, NLR, MLR, BLR, and ELR were all elevated in COPD patients under stable condition. PLR, NLR, MLR, and BLR were further elevated while ELR was lowered during exacerbation. In the patients with AECOPD, PLR, NLR, and MLR were positively correlated with hospital LOS as well as CRP. In contrast, ELR was negatively correlated with hospital LOS as well as CRP. Elevated PLR, NLR, and MLR were all associated with more severe airflow limitation in AECOPD. Elevated PLR, NLR, and MLR were all associated with increased in-hospital mortality while elevated ELR was associated with decreased in-hospital mortality. Binary logistic regression analysis showed that smoking history, FEV1% predicted, pneumonia, pulmonary heart disease (PHD), uric acid (UA), albumin, and MLR were significant independent predictors ofin-hospital mortality. These predictors along with ELR were used to construct a nomogram for predicting in-hospital mortality in AECOPD. The nomogram had a C-index of 0.850 (95% CI: 0.799-0.901), and the calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC) further demonstrated its good predictive value and clinical applicability.
UNASSIGNED: In summary, PLR, NLR, MLR, and ELR served as useful biomarkers in patients with AECOPD.
摘要：
■该研究全面评估了血小板与淋巴细胞比率（PLR）的预后作用，中性粒细胞与淋巴细胞比率（NLR），单核细胞与淋巴细胞比率（MLR），嗜碱性粒细胞与淋巴细胞比率（BLR），慢性阻塞性肺疾病急性加重（AECOPD）患者的嗜酸性粒细胞与淋巴细胞比值（ELR）。
■纳入研究的AECOPD患者和300名健康志愿者。收集AECOPD患者的临床特征和健康志愿者的全血细胞计数。PLR协会，NLR,MLR,BLR,和具有气流限制的ELR，住院时间（LOS），C反应蛋白(CRP),分析AECOPD患者的住院死亡率。
■与健康志愿者相比，PLR,NLR,MLR,BLR,在病情稳定的COPD患者中，ELR均升高。PLR,NLR,MLR,在恶化期间，BLR进一步升高，而ELR降低。在AECOPD患者中,PLR,NLR,MLR与住院LOS、CRP呈正相关。相比之下,ELR与住院LOS、CRP呈负相关。高架PLR,NLR,在AECOPD中，MLR均与更严重的气流受限有关。高架PLR,NLR,和MLR均与院内死亡率增加相关,而ELR升高与院内死亡率降低相关.二元Logistic回归分析显示，吸烟史、FEV1%预测，肺炎,肺心病(PHD),尿酸（UA），白蛋白,和MLR是住院死亡率的重要独立预测因子。这些预测因子与ELR一起用于构建用于预测AECOPD住院死亡率的列线图。列线图的C指数为0.850(95%CI:0.799-0.901)，和校准曲线，决策曲线分析(DCA)，临床影响曲线(CIC)进一步证明了其良好的预测价值和临床适用性。
■总之，PLR,NLR,MLR,ELR可作为AECOPD患者的有用生物标志物。
■纳入研究的AECOPD患者和300名健康志愿者。收集AECOPD患者的临床特征和健康志愿者的全血细胞计数。PLR协会，NLR,MLR,BLR,和具有气流限制的ELR，住院时间（LOS），C反应蛋白(CRP),分析AECOPD患者的住院死亡率。
■与健康志愿者相比，PLR,NLR,MLR,BLR,在病情稳定的COPD患者中，ELR均升高。PLR,NLR,MLR,在恶化期间，BLR进一步升高，而ELR降低。在AECOPD患者中,PLR,NLR,MLR与住院LOS、CRP呈正相关。相比之下,ELR与住院LOS、CRP呈负相关。高架PLR,NLR,在AECOPD中，MLR均与更严重的气流受限有关。高架PLR,NLR,和MLR均与院内死亡率增加相关,而ELR升高与院内死亡率降低相关.二元Logistic回归分析显示，吸烟史、FEV1%预测，肺炎,肺心病(PHD),尿酸（UA），白蛋白,和MLR是住院死亡率的重要独立预测因子。这些预测因子与ELR一起用于构建用于预测AECOPD住院死亡率的列线图。列线图的C指数为0.850(95%CI:0.799-0.901)，和校准曲线，决策曲线分析(DCA)，临床影响曲线(CIC)进一步证明了其良好的预测价值和临床适用性。
■总之，PLR,NLR,MLR,ELR可作为AECOPD患者的有用生物标志物。
