Background: Chronic obstructive pulmonary disease (COPD) has always attracted attention due to its high prevalence and high mortality. How to predict and diagnose COPD and assess the severity of the disease is our top priority. We aimed to evaluate the association between red cell index (RCI) and the severity of COPD, and compare predictive value among RCI, neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) of indicating 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 receiver operating characteristics (ROC) curves cut-off value of RCI (RCI < 1.75, n = 54; RCI > 1.75, n = 46). 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%) of high RCI group decreased (p = 0.016, p = 0.001). There is a negative correlation between RCI and FEV1% (r = -0.302, p = 0.004), while no correlation between FEV1% and NLR and PLR. RCI’s ability to predict Global Initiative for Chronic Obstructive Lung Disease classification, is better than NLR and PLR, with a cut of 1.75, specificity of 85.2%, sensitivity of 57.6% and area under the curve (AUC) of 0.729 (p = 0.001). Multivariate logistic regression analysis proved RCI was an independent factor affecting 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 respiratory function and severity of COPD than NLR and PLR. Higher RCI is independently related to deterioration of respiratory function.