Department of Respiratory Medicine, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China.
School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People's Republic of China.
Int J Chron Obstruct Pulmon Dis. 2021 Mar 26;16:825-834. doi: 10.2147/COPD.S292666. eCollection 2021.
We aimed to investigate the association between red cell index (RCI) and the severity of Chronic Obstructive Pulmonary Disease (COPD), and compare predictive value of RCI, neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) for the severity of COPD.
A total of 207 participants were recruited (100 COPD patients and 107 healthy controls). COPD patients were divided into two groups according to the optimal cut-off value of RCI determined by the receiver operating characteristic (ROC) curve. Pearson's correlation test, logistic regression analysis and other tests were performed.
Compared with low RCI group, the forced expiration volume in 1 second (FEV) and FEV in percent of the predicted value (FEV%) in high RCI group were lower ( = 0.016, = 0.001). There was a negative correlation between RCI and FEV% ( = -0.302, = 0.004), while no correlation between FEV% and NLR as well as PLR were found. RCI showed higher predictive value than NLR and PLR for predicting Global Initiative for Chronic Obstructive Lung Disease classification (GOLD), with a cut-off value of 1.75 and area under the curve (AUC) of 0.729 ( = 0.001). Multivariate logistic regression analysis proved that RCI was an independent factor for lung function in COPD patients (odds ratio [OR] = 4.27, 95% CI: 1.57-11.63, = 0.004).
RCI is a novel biomarker that can better assess pulmonary function and severity of COPD than NLR and PLR. Higher RCI is related to deterioration of pulmonary function.
本研究旨在探讨红细胞指数（RCI）与慢性阻塞性肺疾病（COPD）严重程度的相关性，并比较 RCI、中性粒细胞-淋巴细胞比值（NLR）和血小板-淋巴细胞比值（PLR）对 COPD 严重程度的预测价值。
共纳入 207 名参与者（100 名 COPD 患者和 107 名健康对照者）。根据 ROC 曲线确定的 RCI 最佳截断值，将 COPD 患者分为两组。进行 Pearson 相关检验、逻辑回归分析等检验。
与低 RCI 组相比，高 RCI 组的 1 秒用力呼气容积（FEV）和预计值的 FEV%（FEV%）较低（ = 0.016， = 0.001）。RCI 与 FEV%呈负相关（ = -0.302， = 0.004），而 FEV%与 NLR 和 PLR 均无相关性。与 NLR 和 PLR 相比，RCI 对预测 GOLD 分级的预测价值更高，截断值为 1.75，曲线下面积（AUC）为 0.729（ = 0.001）。多变量逻辑回归分析证实，RCI 是 COPD 患者肺功能的独立因素（比值比[OR] = 4.27，95%可信区间：1.57-11.63， = 0.004）。
RCI 是一种新的生物标志物，可较 NLR 和 PLR 更好地评估 COPD 患者的肺功能和严重程度。较高的 RCI 与肺功能恶化有关。
