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Clinical Study

Heart rate variability predicts mortality in peritoneal dialysis patients

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Pages 1132-1137 | Received 29 Jan 2015, Accepted 31 May 2015, Published online: 30 Jun 2015

Figures & data

Table 1. Demographic characteristics of the study population.

Table 2. Clinical features of patients grouped by survival status.

Table 3. HRV measures of patients grouped by survival status.

Table 4. Univariate Cox regression analysis of clinical characteristics related to death.

Table 5. Univariate Cox regression analysis of heart rate variability measures in relation to death.

Figure 1. Kaplan–Meier survival curves for death in patients dichotomized by the median values of LF/HF. LF, low frequency; HF, high frequency.

Figure 1. Kaplan–Meier survival curves for death in patients dichotomized by the median values of LF/HF. LF, low frequency; HF, high frequency.

Figure 2. Kaplan–Meier survival curves for cardiac death in patients with a urine volume of >100 versus ≤100 mL/L.

Figure 2. Kaplan–Meier survival curves for cardiac death in patients with a urine volume of >100 versus ≤100 mL/L.

Figure 3. Kaplan–Meier survival curves for death in patients with a hs-CRP >3 mg/L versus ≤3 mg/L. hs-CRP, high-sensitivity C-reactive protein.

Figure 3. Kaplan–Meier survival curves for death in patients with a hs-CRP >3 mg/L versus ≤3 mg/L. hs-CRP, high-sensitivity C-reactive protein.

Table 6. Multivariate Cox regression analysis of clinical and HRV measures in relation to death.

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