Peripheral Arterial Stiffness Is Independently Associated with a Rapid Decline in Estimated Glomerular Filtration Rate in Patients with Type 2 Diabetes

Figure 1

Unadjusted and age-adjusted area under the curve for predicting a rapid decline in estimated glomerular filtration rate according to different vascular functional markers. AUC: areas under the curve, ROC: receiver operating characteristic curves, OR: odds ratio, 95% CI: 95% confidence interval. (a) The unadjusted AUC of ROC curve (95% CI; 𝑃) for predicting a rapid decline in eGFR for ba-PWV: 0.589 (0.531–0.646; 𝑃=0.003*). (b) The unadjusted AUC of ROC curve (95% CI; 𝑃) for predicting a rapid decline in eGFR for PP: 0.585 (0.525–0.645; 𝑃=0.005*). (c) The unadjusted AUC of ROC curve (95% CI; 𝑃) for predicting a rapid decline in eGFR for SBP: 0.571 (0.512–0.630; 𝑃=0.018*). (d) The unadjusted AUC of ROC curve (95% CI; 𝑃) for predicting a rapid decline in eGFR for TBI: 0.542 (0.484–0.600; 𝑃=0.160). (e) The age-adjusted AUC of ROC curve (95% CI; 𝑃) for predicting a rapid decline in eGFR for ba-PWV: 0.586 (0.528–0.644; 𝑃=0.004*). (f) The age-adjusted AUC of ROC curve (95% CI; 𝑃) for predicting a rapid decline in eGFR for PP: 0.584 (0.524–0.644; 𝑃=0.005*). (g) The age-adjusted AUC of ROC curve (95% CI; 𝑃) for predicting a rapid decline in eGFR for SBP: 0.575 (0.518–0.632; 𝑃=0.012*). (h) The age-adjusted AUC of ROC curve (95% CI; 𝑃) for predicting a rapid decline in eGFR for TBI: 0.555 (0.497–0.613; 𝑃=0.067), ^∗𝑃<0.05.

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