Figures & data
Figure 1 Flow chart showing the literature search and selection. Specific reasons for exclusion of studies are also shown.
![Figure 1 Flow chart showing the literature search and selection. Specific reasons for exclusion of studies are also shown.](/cms/asset/ee8c6b1a-3115-4763-9f2c-e410da7fbb25/dcop_a_12163793_f0001_c.jpg)
Table 1 Comparison of COPD Patients and Healthy Controls
Table 2 T-Tests for Groups Divided According to RCI with Severity of Disease and Other Functions
Figure 2 Correlations of the RCI, NLR and PLR with FEV1%.
![Figure 2 Correlations of the RCI, NLR and PLR with FEV1%.](/cms/asset/30e09106-6c81-4b1c-b62c-30175c26e52f/dcop_a_12163793_f0002_b.jpg)
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.
![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.](/cms/asset/ff351ccc-75c0-402a-b21e-8fabbfeba1df/dcop_a_12163793_f0003_c.jpg)
Table 3 Univariate Logistic Regression Analysis Assesses Different Prognostic Predictors of COPD
Table 4 Adjusted Odds Ratio (95% Confidence Interval) for Severe COPD (GOLD III + IV)