Literature DB >> 12539134

Heart rate variability parameters correlate with functional independence measures in ischemic stroke patients.

Marina Arad1, Shimon Abboud, Michal M Radai, Abraham Adunsky.   

Abstract

This study gives quantitative information regarding the effect of brain infarction on the regulation of the cardiovascular system. Electrocardiograms of 16 patients, ranging from 54 to 85 years old, admitted for rehabilitation after an ischemic supratentorial stroke, all without a history of cardiac disease or rhythm disturbances, were recorded during physiotherapy effort. All patients were evaluated for the functional independence measure (FIM) score 48 to 72 hours following admission and repeated at one week before discharge. The heart rate variability (HRV) parameters: standard deviation (SD) of the RR series, the power spectrum of the RR intervals for the low frequency range (LF: 0.04-0.15 Hz), and the high frequency range (HF: 0.15-0.4 Hz) were calculated. The results showed that all heart rate variability parameters had statistically significant relationship with the FIM on admission and discharge scores. In conclusion, the HRV parameters correlate with the clinical measures of function: the greater the HRV parameter the higher the FIM score. The presented technique may prove useful as a prognostic tool providing a simple way for determining functional performance of stroke patients.

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Year:  2002        PMID: 12539134     DOI: 10.1054/jelc.2002.37185

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  7 in total

1.  Serial heart rate variability testing for the evaluation of autonomic dysfunction after stroke.

Authors:  Zaid Al-Qudah; Hussam A Yacoub; Nizar Souayah
Journal:  J Vasc Interv Neurol       Date:  2014-12

Review 2.  Heart rate variability as a biomarker of functional outcomes in persons with acquired brain injury: Systematic review and meta-analysis.

Authors:  Yejin Lee; Ryan J Walsh; Mandy W M Fong; Marek Sykora; Michelle M Doering; Alex W K Wong
Journal:  Neurosci Biobehav Rev       Date:  2021-10-06       Impact factor: 8.989

3.  Methodologic implications for rehabilitation research: Differences in heart rate variability introduced by respiration.

Authors:  Ryan Solinsky; Grant D Schleifer; Adina E Draghici; Jason W Hamner; J Andrew Taylor
Journal:  PM R       Date:  2022-01-25       Impact factor: 2.218

4.  Disorders of the Autonomic Nervous System after Hemispheric Cerebrovascular Disorders: An Update.

Authors:  Zaid A Al-Qudah; Hussam A Yacoub; Nizar Souayah
Journal:  J Vasc Interv Neurol       Date:  2015-10

5.  Identifying autonomic nervous system dysfunction in acute cerebrovascular attack by assessments of heart rate variability and catecholamine levels.

Authors:  Eşref Akıl; Yusuf Tamam; Mehmet Ata Akıl; İbrahim Kaplan; Mehmet Zihni Bilik; Abdullah Acar; Banu Tamam
Journal:  J Neurosci Rural Pract       Date:  2015 Apr-Jun

Review 6.  Targeting the Autonomic Nervous System for Risk Stratification, Outcome Prediction and Neuromodulation in Ischemic Stroke.

Authors:  Angelica Carandina; Giulia Lazzeri; Davide Villa; Alessio Di Fonzo; Sara Bonato; Nicola Montano; Eleonora Tobaldini
Journal:  Int J Mol Sci       Date:  2021-02-26       Impact factor: 5.923

Review 7.  Heart Rate Variability as a Biomarker for Predicting Stroke, Post-stroke Complications and Functionality.

Authors:  Ty Lees; Fatima Shad-Kaneez; Ann M Simpson; Najah T Nassif; Yiguang Lin; Sara Lal
Journal:  Biomark Insights       Date:  2018-07-18
  7 in total

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