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Loss of Fractal Heart Rate Dynamics in Depressive Hemodialysis Patients

Bibliographic Data

ID19308595
AuthorsMasayo Kojima (0000-0002-8946-1131, Japan Society for the Promotion of Science, corresponding author), Junichiro Hayano (0000-0002-5340-6325, Japan Society for the Promotion of Science), Hidekatsu Fukuta (0000-0002-9577-6586, Japan Society for the Promotion of Science), Seiichiro Sakata, Sei-ichiro SAKATA (0000-0002-3000-3750, Japan Society for the Promotion of Science), Seiji Mukai (Japan Society for the Promotion of Science), Nobuyuki Ohte (0000-0003-1934-6864, Japan Society for the Promotion of Science), Hachiro Seno (Japan Society for the Promotion of Science), Takanobu Toriyama (Japan Society for the Promotion of Science), Hirohisa Kawahara (Japan Society for the Promotion of Science), Toshiaki A Furukawa, Toshi A Furukawa (0000-0003-2159-3776, Japan Society for the Promotion of Science), Shinkan Tokudome (0000-0001-7311-2458, Japan Society for the Promotion of Science)
Year2008
Volume70
Issue2
Pages177-185
Publication date2008-02-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePsychosomatic Medicine (JOURNAL)
Journal identifiersISSN: 0033-3174 • E-ISSN: 1534-7796
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/psy.0b013e31816477a1
PMID18256338
OpenAlexW2073835297
LanguageEN
Citations received1
References cited45

Objective: To assess the relationship between depression, reduced heart rate (HR) variability, and altered HR dynamics among patients with end-stage renal disease who are receiving hemodialysis (HD) therapy. Methods: We analyzed the 24-hour electrocardiograms of 119 outpatients receiving chronic HD. HR variability was quantified with the standard deviation of normal-to-normal R-R intervals, the triangular index, and the powers of the high- (HF), low- (LF), very-low (VLF), and ultra-low frequency (ULF) components. Nonlinear HR dynamics was assessed with the short-term (α1) and long-term (α2) scaling exponents of the detrended fluctuation analysis and approximate entropy. The depression level was assessed using the Beck Depression Inventory, Second Edition (BDI-II). HR variability and dynamics measurements were compared by gender, diabetes, and depression with adjustment for age and serum albumin concentration. Results: Most indices of HR variability and dynamics were negatively correlated with age, serum albumin concentration, depression score, and were lower in women and patients with diabetes. The α2 was inversely associated with these variables. Depressed men had significantly lower HF, LF, VLF, and marginally lower ULF than nondepressed persons after adjustment for diabetes and other covariates; no difference in depression was observed in women. The α2 showed marginally significant difference in depression independent from gender and diabetes. Conclusions: Among the patients who received HD, depression is associated with reduced HR variability and loss of fractal HR dynamics. However, the influence of depression on HR variability may vary by gender and physiological backgrounds. Further prospective studies are necessary to confirm their association with poor prognosis. CHD = coronary heart disease; HR = heart rate; DFA = detrended fluctuation analysis; ApEn = approximate entropy; HD = hemodialysis; ESRD = end-stage renal disease; NKC = Nagoya Kidney Center; AMI = acute myocardial infarction; ECG = electrocardiography; PCR = protein catabolic rate; SDNN = standard deviation of normal-to-normal R-R intervals; HF = high-frequency band; LF = low-frequency band; VLF = very-low-frequency band; ULF = ultra-low-frequency band; SD = standard deviation; mNN = mean normal-to-normal R-R intervals; BDI = Beck Depression Inventory; DSM = Diagnostic and Statistical Manual of Mental Disorders; ANCOVA = analysis of covariance; GLM = general linear model

Anxiety · Beck Depression Inventory · Blood pressure · Cardiology · Depression (economics) · Detrended fluctuation analysis · Diabetes mellitus · Heart rate · Heart rate variability · Hemodialysis · Psychiatry · Complex Systems and Time Series Analysis · Endocrinology · Heart rate and cardiovascular health · Heart Rate Variability and Autonomic Control · Internal Medicine · Mathematics · Medicine

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Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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