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Usefulness of measurement of heart rate variability by holter ECG in hemodialysis patients

Overview of attention for article published in BMC Nephrology, January 2017
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Title
Usefulness of measurement of heart rate variability by holter ECG in hemodialysis patients
Published in
BMC Nephrology, January 2017
DOI 10.1186/s12882-016-0423-3
Pubmed ID
Authors

Nanami Kida, Yoshiharu Tsubakihara, Hirota Kida, Shunro Ageta, Makoto Arai, Yoshinosuke Hamada, Nariaki Matsuura

Abstract

Major adverse cardiac and cerebrovascular event (MACCE) is one of most common complications of hemodialysis patients. Heart rate variability (HRV) is the predictor of death in heart disease patients. However, there are no studies on the role of HRV in hemodialysis patients. From September 2009 to March 2011, 24-h electrocardiography was performed in 101 hemodialysis patients. Standard deviation of sequential 5-minute N-N interval means (SDANN) and standard deviation of the N-N interval (SDNN) was examined by a 24-h ECG analysis. Patients were observed prospectively. The primary endpoints were incidence of MACCE and MACCE-free survival. We studied 90 hemodialysis patients (64 males, 63.4 ± 11.8 years old). During a follow-up period of 32.0 ± 11.7 months, 33 patients developed MACCE. 24-h ECG showed mean SDNN 93.4 ± 33.4 ms and mean SDANN 83.2 ± 31.3 ms. MACCE group showed significantly lower SDNN and SDANN than event-free group. In Kaplan-Meier analysis higher SDNN and SDANN group showed significantly higher event-free survival rate than lower group. Using a Cox proportional hazards model, SDNN was independent prognostic factor while SDANN or diabetic status was not significant. In diabetic cases, there were no differences in any factors for the incidence of MACCE between higher SDNN, SDANN groups and lower groups. On the other hand in non-diabetic cases, lower SDNN or SDANN group developed significantly higher MACCE than higher groups. Measurement of HRV by Holter ECG is useful to predict MACCE in hemodialysis patients, especially non-diabetic group.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 17%
Student > Bachelor 7 15%
Student > Doctoral Student 4 8%
Student > Ph. D. Student 3 6%
Student > Master 3 6%
Other 5 10%
Unknown 18 38%
Readers by discipline Count As %
Medicine and Dentistry 17 35%
Nursing and Health Professions 3 6%
Neuroscience 2 4%
Engineering 2 4%
Sports and Recreations 2 4%
Other 3 6%
Unknown 19 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 January 2017.
All research outputs
#18,510,888
of 22,931,367 outputs
Outputs from BMC Nephrology
#1,889
of 2,488 outputs
Outputs of similar age
#310,851
of 420,904 outputs
Outputs of similar age from BMC Nephrology
#40
of 56 outputs
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