Nonlinear Measures of Heart Rate Variability and Mortality Risk in Hemodialysis Patients
Nonlinear Measures of Heart Rate Variability and Mortality Risk in Hemodialysis Patients
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DOI:
10.2215/cjn.09430911
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发表时间:
2012-09-01
影响因子:
9.8
通讯作者:
Hayano, Junichiro
中科院分区:
文献类型:
--
作者:
Suzuki, Mari;Hiroshi, Takahashi;Hayano, Junichiro
Background and objectives Nonlinear measures of heart rate variability (HRV) have gained recent interest as powerful risk predictors in various clinical settings. This study examined whether they improve risk stratification in hemodialysis patients.Design, setting, participants, & measurements To assess heart rate turbulence, deceleration capacity, fractal scaling exponent (alpha(1)), and other conventional HRV measures, 281 hemodialysis patients underwent 24-hour electrocardiography between January 2002 and May 2004 and were subsequently followed up.Results During a median 87-month follow-up, 77 patients (27%) died. Age, left ventricular ejection fraction, serum albumin, C-reactive protein, and calcium X phosphate independently predicted mortality. Whereas all nonlinear HRV measures predicted mortality, only decreased scaling exponent alpha(1) remained significant after adjusting for clinical risk factors (hazard ratio per a 0.25 decrement, 1.46; 95% confidence interval [95% CI], 1.16-1.85). The inclusion of alpha(1) into a prediction model composed of clinical risk factors increased the C statistic from 0.84 to 0.87 (P=0.03), with 50.8% (95% CI, 20.2-83.7) continuous net reclassification improvement for 5-year mortality. The predictive power of a1 showed an interaction with age (P=0.02) and was particularly strong in patients aged