Document Detail

Depressed sympathovagal balance predicts mortality in patients with subarachnoid hemorrhage.
MedLine Citation:
PMID:  21570235     Owner:  NLM     Status:  Publisher    
OBJECTIVES: The objective of this study is to investigate the role of sympathovagal balance in predicting inhospital mortality by assessing power spectral analysis of heart rate variability (HRV) among patients with nontraumatic subarachnoid hemorrhage (SAH) in an emergency department (ED). METHODS: A cohort of 132 adult patients with spontaneous SAH in an ED was prospectively enrolled. A continuous 10-minute electrocardiography for off-line power spectral analysis of the HRV was recorded. Using the inhospital mortality, the patients were classified into 2 groups: nonsurvivors (n = 38) and survivors (n = 94). The HRV measures were compared between these 2 groups of patients. RESULTS: Having compared the various measurements, the very low-frequency component, low-frequency component, normalized low-frequency component (LF%), and low-/high-frequency component ratio (LF/HF) were significantly lower, whereas the normalized high-frequency component was significantly higher among the nonsurvivors than among the survivors. A multiple logistic regression model identified LF/HF (odds ratio, 2.16; 95% confidence interval [CI], 1.18-3.97; P = .013) and LF% (odds ratio, 0.78; 95% CI, 0.69-0.88; P < .001) as independent variables that were able to predict inhospital mortality for patients with SAH in an ED. The receiver operating characteristic area for LF/HF in predicting inhospital mortality was 0.957 (95% CI, 0.914-1.000; P < .001), and the best cutoff points was 0.8 (sensitivity, 92.1%; specificity, 90.4%). CONCLUSIONS: Power spectral analysis of the HRV is able to predict inhospital mortality for patients after SAH in an ED. A tilt in the sympathovagal balance toward depressed sympathovagal balance, as indicated by HRV analysis, might contribute to the poor outcome among these patients.
Te-Fa Chiu; Chien-Cheng Huang; Jiann-Hwa Chen; Wei-Lung Chen
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-5-11
Journal Detail:
Title:  The American journal of emergency medicine     Volume:  -     ISSN:  1532-8171     ISO Abbreviation:  -     Publication Date:  2011 May 
Date Detail:
Created Date:  2011-5-16     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8309942     Medline TA:  Am J Emerg Med     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011. Published by Elsevier Inc.
Department of Emergency Medicine, Chang Gung Memorial Hospital Linkou Branch, Tao-Yuan 333, Taiwan; Chang Gung University College of Medicine, Tao-Yuan 333, Taiwan.
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