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DOI 10.1159/000469716

Медицинская библиотека · Kidney & blood pressure research · 2017

Heart Rate Variability Predicts Major Adverse Cardiovascular Events and Hospitalization in Maintenance Hemodialysis Patients.

Huang Jiun-Chi, Kuo I-Ching, Tsai Yi-Chun, Lee Jia-Jung, Lim Lee-Moay, Chen Szu-Chia, Chiu Yi-Wen, Chang Jer-Ming, Chen Hung-Hun

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Аннотация

BACKGROUND/AIMS: Heart rate variability (HRV) has been linked to mortality in maintenance hemodialysis (HD) patients, but it is less clear whether HRV is associated with major adverse cardiovascular events (MACEs) and hospitalization.

METHODS

This study enrolled 179 maintenance HD patients. HRV was measured to assess its prognostic significance in relation to MACEs and hospitalization.

RESULTS

During the follow-up period of 33.3 ± 6.7 months, 36 (20.1%) patients had a MACE, and 98 (54.7%) experienced hospitalization. In multivariate adjusted Cox regression analysis, low very low frequency (VLF) power (hazard ratio [HR], 0.727; 95% confidence interval [CI], 0.624-0.848; p < 0.001), a history of coronary artery disease, high ultrafiltration rate, the use of angiotensin-converting enzyme inhibitors or angiotensin II receptor blockers, and the use of beta-blockers were all significantly associated with MACEs. Low VLF power (HR, 0.873; 95% CI, 0.785-0.971; p = 0.012), low serum albumin, low serum creatinine, low Kt/V levels, and high serum calcium-phosphorus product levels significantly predicted hospitalization in maintenance HD patients.

CONCLUSIONS

Reduced VLF power is linked to an increased risk of MACEs and hospitalization in maintenance HD patients. Assessing cardiac autonomic function through HRV is of pivotal prognostic significance for this patient population.

Для цитирования: Huang Jiun-Chi, Kuo I-Ching, Tsai Yi-Chun, Lee Jia-Jung, Lim Lee-Moay, Chen Szu-Chia, Chiu Yi-Wen, Chang Jer-Ming, Chen Hung-Hun. Heart Rate Variability Predicts Major Adverse Cardiovascular Events and Hospitalization in Maintenance Hemodialysis Patients.. Kidney & blood pressure research. 2017. DOI: 10.1159/000469716.

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