Evaluation of the Degree of Agreement of Four Methods for Diagnosing Diabetic Autonomic Neuropathy

Figures

• 

  Figure 1. The correlations of diabetic autonomic neuropathy (DAN) severity between any 2 methods. COMPASS-31 and Ewing's test exhibited the best severity correlation. (A) Ewing's test versus COMPASS-31. (B) HRV versus COMPASS-31. (C) SSR versus COMPASS-31. (D) HRV versus Ewing's test. (E) SSR versus Ewing's test. (F) SSR versus HRV.

• 

  Figure 2. Receiver operating characteristic (ROC) analyses for the diagnosis of diabetic autonomic neuropathy (DAN). Model A (black) represents the ROC curve of Ewing's test; model B (red) represents the ROC curve of COMPASS-31; model C (green) represents the ROC curve of SSR; model D (deep blue) represents the ROC curve of Ewing's test combined with COMPASS-31 and SSR; model E (light blue) represents the ROC curve of Ewing's test combined with COMPASS-31; model F (purple) represents the ROC curve of COMPASS-31 combined with SSR; model G (yellow) represents the ROC curve of Ewing's test combined with SSR.

• 

  Figure 3. (A) Receiver operating characteristic (ROC) curve of Ewing's test to diagnose diabetic autonomic neuropathy (DAN). The optimal cutoff value for classification is indicated by a multiplication symbol annotating this threshold value followed by specificity and sensitivity. AUC, area under curve. Cutoff value = 1.750, AUC = 0.703, 95% CI = 0.613–0.794, specificity = 79.6%, sensitivity = 53.3%. (B) ROC curve of Ewing's test to DAN as calculated by Bootstrap. The blue shading denotes the Bootstrap-estimated 95% confidence interval with the AUC. AUC = 0.708, 95% CI = 0.627–0.793.

• 

  Figure 4. (A) Receiver operating characteristic (ROC) curve of COMPASS-31 to diagnose diabetic autonomic neuropathy (DAN). The optimal cutoff value for classification is indicated by a multiplication symbol annotating this threshold value followed by specificity and sensitivity. AUC, area under curve. Cutoff value = 14.72, AUC = 0.630, 95% CI = 0.531, 0.729, specificity = 63.3%, sensitivity = 64.9%. (B) ROC curve of Ewing's test to DAN as calculated by Bootstrap. The blue shading denotes the Bootstrap-estimated 95% confidence interval with the AUC. AUC = 0.632, 95% CI = 0.520–0.721.