Literature DB >> 25541326

Autonomic dysfunction in acute ischemic stroke: an underexplored therapeutic area?

Sylvie De Raedt1, Aurelie De Vos2, Jacques De Keyser3.   

Abstract

Impaired autonomic function, characterized by a predominance of sympathetic activity, is common in patients with acute ischemic stroke. This review describes methods to measure autonomic dysfunction in stroke patients. It summarizes a potential relationship between ischemic stroke-associated autonomic dysfunction and factors that have been associated with worse outcome, including cardiac complications, blood pressure variability changes, hyperglycemia, immune depression, sleep disordered breathing, thrombotic effects, and malignant edema. Involvement of the insular cortex has been suspected to play an important role in causing sympathovagal imbalance, but its exact role and that of other brain regions remain unclear. Although sympathetic overactivity in patients with ischemic stroke appears to be a negative prognostic factor, it remains to be seen whether therapeutic strategies that reduce sympathetic activity or increase parasympathetic activity might improve outcome.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Acute; Autonomic; HRV; Insula; Ischemic stroke; Therapeutic

Mesh:

Year:  2014        PMID: 25541326     DOI: 10.1016/j.jns.2014.12.007

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  21 in total

1.  Absent Filling of Ipsilateral Superficial Middle Cerebral Vein Is Associated With Poor Outcome After Reperfusion Therapy.

Authors:  Sheng Zhang; Yangxiao Lai; Xinfa Ding; Mark Parsons; John H Zhang; Min Lou
Journal:  Stroke       Date:  2017-03-06       Impact factor: 7.914

2.  Assessment of Autonomic Dysfunction in Acute Stroke Patients at a Tertiary Care Hospital.

Authors:  Hemachandrika Chidambaram; Kothai Gnanamoorthy; Prasanna Karthik Suthakaran; Kannan Rajendran; Chitrambalam Pavadai
Journal:  J Clin Diagn Res       Date:  2017-02-01

3.  Usefulness of the Neutrophil-to-Lymphocyte Ratio as a Predictor of Pneumonia and Urinary Tract Infection Within the First Week After Acute Ischemic Stroke.

Authors:  Robin Gens; Anissa Ourtani; Aurelie De Vos; Jacques De Keyser; Sylvie De Raedt
Journal:  Front Neurol       Date:  2021-05-13       Impact factor: 4.003

4.  Autonomic Imbalance and Risk of Dementia and Stroke: The Framingham Study.

Authors:  Galit Weinstein; Kendra Davis-Plourde; Alexa S Beiser; Sudha Seshadri
Journal:  Stroke       Date:  2021-04-20       Impact factor: 10.170

5.  The association of insular stroke with lesion volume.

Authors:  Nishanth Kodumuri; Rajani Sebastian; Cameron Davis; Joseph Posner; Eun Hye Kim; Donna C Tippett; Amy Wright; Argye E Hillis
Journal:  Neuroimage Clin       Date:  2016-01-12       Impact factor: 4.881

6.  Rapid Assessment of Blood Pressure Variability and Outcome After Successful Thrombectomy.

Authors:  Pedro Castro; Francisca Ferreira; Cindy K Nguyen; Seyedmehdi Payabvash; Can Ozan Tan; Farzaneh Sorond; Elsa Azevedo; Nils Petersen
Journal:  Stroke       Date:  2021-07-27       Impact factor: 10.170

7.  Heart failure patients have enhanced cerebral autoregulation response in acute ischemic stroke.

Authors:  Pedro Castro; Jorge Serrador; Isabel Rocha; Paulo Castro Chaves; Farzaneh Sorond; Elsa Azevedo
Journal:  J Thromb Thrombolysis       Date:  2020-10       Impact factor: 5.221

8.  Complexity of Heart Rate Variability Can Predict Stroke-In-Evolution in Acute Ischemic Stroke Patients.

Authors:  Chih-Hao Chen; Pei-Wen Huang; Sung-Chun Tang; Jiann-Shing Shieh; Dar-Ming Lai; An-Yu Wu; Jiann-Shing Jeng
Journal:  Sci Rep       Date:  2015-12-01       Impact factor: 4.379

9.  A Hybrid Signal Processing of RR Intervals from QTc Variation Searching Arrhythmia and Improving Heart Rate Variability Assessment in Acute Large Artery Ischemic Stroke.

Authors:  S Rangsungnoen; P Chanbenjapipu; N Mathuradavong; K Suwanprasert
Journal:  J Med Eng       Date:  2016-11-14

Review 10.  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
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