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. 2021 Mar 26:16:825-834.
doi: 10.2147/COPD.S292666. eCollection 2021.

Relationship of Red Cell Index with the Severity of Chronic Obstructive Pulmonary Disease

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Relationship of Red Cell Index with the Severity of Chronic Obstructive Pulmonary Disease

Yiben Huang et al. Int J Chron Obstruct Pulmon Dis. .

Abstract

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; RCI; biomarker; pulmonary function.

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Conflict of interest statement

The authors declare that they have no competing interests in this work.

Figures

Figure 1
Figure 1
Flow chart showing the literature search and selection. Specific reasons for exclusion of studies are also shown.
Figure 2
Figure 2
Correlations of the RCI, NLR and PLR with FEV1%.
Figure 3
Figure 3
ROC curves of the RCI, NLR, PLR, Lym and RDW of COPD patients, for predicting severe or mild COPD. The area under ROC curve of RCI: 0.729; 95% CI: 0.619–0.839; p = 0.001.

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