![]() ![]() Nearly all (90.9 %) subjects were correctly classified by discriminant analysis. ROC curve analysis showed that the volume between 25 and 50 % of F CO2et (Vm25-50), slope of Phase II (dC2/dV), and slope of Phase III (dC3/dV) were valuable predictors. ResultsĪll regression equations were significant ( P < 0.01) as were the differences between the observed and predicted normal VCap indices in COPD patients ( P < 0.001). The power of the combination of VCap indices was assessed by discriminant analysis. Receiver operating characteristic (ROC) curve analysis was used to evaluate the power of each VCap index alone in differentiating COPD patients and normal subjects. A paired t test was used to compare the difference between observed and predicted values for VCap indices in COPD patients. Predicted normal values of VCap indices in COPD patients were calculated. Regression equations between VCap indices and age, weight, height, and tidal volume in healthy volunteers were established by stepwise regression analysis. Thirty-nine healthy male volunteers and 60 male COPD patients were enrolled. ![]() The aim of our study was to evaluate volumetric capnography (VCap) in the differentiation between chronic obstructive pulmonary disease (COPD) patients and normal subjects. ![]()
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