Literature DB >> 19806307

Prediction of early secondary complications in patients with spontaneous subarachnoid hemorrhage based on accelerated sympathovagal ratios.

I-Chang Su1, Chien-Hsun Li, Kuo-Chuan Wang, Dar-Ming Lai, Sheng-Jean Huang, Jiann-Shing Shieh, Yong-Kwang Tu.   

Abstract

PURPOSE: The development of secondary complications following spontaneous subarachnoid hemorrhage (SAH) largely depends on sympathetic overexcitation. The roles of vagal activities, however, are poorly defined. Because both components of the autonomic nervous system can be explored in the frequency domain of heart rate variability (HRV), the present study aimed to determine the dynamic evolution of autonomic activities and to identify patients at high risk for complications following hemorrhage.
METHODS: Thirty patients with SAH were enrolled in our study. Those who suffered from symptomatic vasospasm, cerebral infarction, neurogenic pulmonary edema, or early mortality within 1 week of ictus were categorized into the complication group. Spectral analysis of HRV explored three important indices of sympathetic and vagal modulations: low-frequency (LF), high-frequency (HF), and LF/HF ratios. Patterns of HRV dynamics within the first 3 days were compared between complication and non-complication groups. The group trends, estimated by the slopes of HRV changes, were determined for further univariate and multivariate analysis.
RESULTS: Our study showed that daily HRV in the complication group exhibited an approximately 2.7-fold increase of sympathovagal ratio (denoted by LF/HF). This resulted from reciprocal changes of sympathoexcitation (LF) and vagal withdrawal (HF). Multivariate analysis revealed that LF/HF slope, an indicator of the trend of sympathovagal change, was an independent variable significantly associated with the development of complications.
CONCLUSIONS: This study confirmed that during early SAH period, patients with and without complications presented different patterns of sympathovagal changes. LF/HF slope during the first 3 days was a significant predictor of secondary complications after SAH.

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Year:  2009        PMID: 19806307     DOI: 10.1007/s00701-009-0517-9

Source DB:  PubMed          Journal:  Acta Neurochir (Wien)        ISSN: 0001-6268            Impact factor:   2.216


  4 in total

1.  The use of heart rate variability for the early detection of treatable complications after aneurysmal subarachnoid hemorrhage.

Authors:  Soojin Park; Farhad Kaffashi; Kenneth A Loparo; Frank J Jacono
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2.  Nonconvulsive seizures after subarachnoid hemorrhage: Multimodal detection and outcomes.

Authors:  Jan Claassen; Adler Perotte; David Albers; Samantha Kleinberg; J Michael Schmidt; Bin Tu; Neeraj Badjatia; Hector Lantigua; Lawrence J Hirsch; Stephan A Mayer; E Sander Connolly; George Hripcsak
Journal:  Ann Neurol       Date:  2013-06-27       Impact factor: 10.422

3.  β-Blockers associated with no class-specific survival benefit in acute intracerebral hemorrhage.

Authors:  J P Shoup; J Winkler; A Czap; I Staff; G Fortunato; L D McCullough; L H Sansing
Journal:  J Neurol Sci       Date:  2013-10-22       Impact factor: 3.181

4.  Feasibility, Reliability and Predictive Value Of In-Ambulance Heart Rate Variability Registration.

Authors:  Laetitia Yperzeele; Robbert-Jan van Hooff; Ann De Smedt; Guy Nagels; Ives Hubloue; Jacques De Keyser; Raf Brouns
Journal:  PLoS One       Date:  2016-05-04       Impact factor: 3.240

  4 in total

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