Relationship of Red Cell Index with the Severity of Chronic Obstructive Pulmonary Disease
Received 21 November 2020
Accepted for publication 22 February 2021
Published 26 March 2021 Volume 2021:16 Pages 825—834
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Richard Russell
Yiben Huang,1,* Jianing Wang,1,2,* Jiamin Shen,1,2,* Jiedong Ma,1,2 Xiaqi Miao,1,2 Keke Ding,1,2 Bingqian Jiang,1,2 Binbin Hu,1,2 Fangyi Fu,1,2 Lingzhi Huang,1 Meiying Cao,3 Xiaodiao Zhang1
1Department of Respiratory Medicine, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China; 2School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People’s Republic of China; 3Department of Cardiology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Xiaodiao Zhang
Department of Respiratory Medicine, The Third Affiliated Hospital of Wenzhou Medical University, No. 108 Wansong Road, Wenzhou, Zhejiang, 325000, People’s Republic of China
Email [email protected]
Department of Cardiology, The Third Affiliated Hospital of Wenzhou Medical University Email [email protected]
Background: 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.
Methods: 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.
Results: Compared with low RCI group, the forced expiration volume in 1 second (FEV1) and FEV1 in percent of the predicted value (FEV1%) in high RCI group were lower (p = 0.016, p = 0.001). There was a negative correlation between RCI and FEV1% (r = − 0.302, p = 0.004), while no correlation between FEV1% 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 (p = 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, p = 0.004).
Conclusion: 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.
Keywords: COPD, pulmonary function, RCI, biomarker
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