Samenvatting
OBJECTIVE: In the general population, reduced heart rate variability (HRV) has been associated with cardiovascular disease. However, its relation to chronic kidney disease (CKD) is debated. We therefore investigated the relation between low HRV and renal outcomes.
METHODS: In the population-based PREVEND Study, renal outcomes (CKD, eGFR, urinary albumin) were measured at baseline and three consecutive examinations. HRV measures (among which SDNN, standard deviation of normal-to-normal RR-intervals) were calculated from time-series of beat-to-beat pulse-wave recordings at baseline. The lowest (risk) quartile was compared to the upper three quartiles combined, in multivariable survival and linear mixed-effects analyses.
RESULTS: In 4,605 participants (49% males, age range 33-80, 0.6% blacks), we observed 341 new cases of CKD during a median follow-up duration of 7.4 years. Low SDNN was associated with higher incidence of CKD (crude HR: 1.66, 95%CI [1.30;2.12], p<0.001), but this association was no longer significant after adjustment for age, sex, and cardiovascular risk factors (adjusted HR: 1.13, 95%CI [0.86;1.48], p=0.40, similar for other HRV measures). No associations between SDNN and eGFR trajectories were found in the total sample. However, in a subgroup of participants with baseline CKD (N=939), we found a significant association of low SDNN (but not other HRV measures) with lower baseline eGFR, even after multivariable adjustment (adjusted βlevel difference=-3.73 ml/min/1.73m, 95%CI [-6.70;-0.75], p=0.014), but not with steeper eGFR decline.
CONCLUSIONS: These results suggest that reduced HRV may be a complication of CKD rather than a causal factor.
Originele taal-2 | English |
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Pagina's (van-tot) | 307-3016 |
Aantal pagina's | 10 |
Tijdschrift | Psychosomatic Medicine |
Volume | 80 |
Nummer van het tijdschrift | 3 |
Vroegere onlinedatum | 2-jan.-2018 |
DOI's | |
Status | Published - apr.-2018 |
Vingerafdruk
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Prevention of Renal and Vascular End-stage Disease (PREVEND)
Gansevoort, R. T. (Creator), University of Groningen, 2017
Dataset