Skin sympathetic nerve activity as a biomarker for outcomes in spontaneous intracerebral hemorrhage

Author:

Wang Weiwei1,Cheng Hongyi23,Zhang Yike2,Cui Chang2,Lin Zhiqiao2,Xing Yantao4,Zhong Xiaoyuan1,Liang Xichen1,Cao Quan1,Chen Yan567ORCID,Chen Minglong2

Affiliation:

1. Department of Critical Care Medicine The First Affiliated Hospital of Nanjing Medical University Nanjing 210029 China

2. Division of Cardiology The First Affiliated Hospital of Nanjing Medical University Nanjing 210029 China

3. Gusu School Nanjing Medical University, The Affiliated Suzhou Hospital of Nanjing Medical University Suzhou 215002 China

4. School of Instrument Science and Engineering Southeast University Nanjing 210096 China

5. Outpatient & Emergency Management Department The First Affiliated Hospital of Nanjing Medical University Nanjing Jiangsu 210029 China

6. Emergency Management Department, School of Health Policy & Management Nanjing Medical University Nanjing Jiangsu 211166 China

7. Research Institute of Health Jiangsu Nanjing Medical University Nanjing Jiangsu 211166 China

Abstract

AbstractObjectiveA rapid and accurate forecast for the early prognosis of ICH patients is challenging. This study investigated whether heart rate variability (HRV) and skin sympathetic nerve activity (SKNA) could prognosticate poor neurological outcomes in ICH patients.MethodsBetween November 2020 and November 2021, we studied 92 spontaneous ICH patients in the First Affiliated Hospital of Nanjing Medical University. Glasgow Outcome Scale (GOS) score at 2 weeks after the ICH was used to categorize patients into good and poor outcome groups. The modified Rankin Scale (mRS) assessed patients' ability to live independently for 1 year. We utilized a portable high‐frequency electrocardiogram (ECG) recording system to record the HRV and SKNA information in ICH patients and control participants.Results77 patients were eligible for the prediction of neurological outcome and were allocated into the good (n = 22) or poor (n = 55) outcome groups based on the GOS grade. In univariate logistic regression analysis, significant variables that could differentiate the outcomes were age, hypertension, tracheal intubation, Glasgow Coma Scale (GCS) score, existing intraventricular hemorrhage, white blood cells, neutrophil, lnVLF, lnTP, and aSKNA. Variables in the best fit multivariable logistic regression model were age, hypertension, GCS score, neutrophils, and aSKNA. The GCS score was the only independent risk factor for poor outcomes. At 30 days and 1 year of follow‐up, patients with lower aSKNA had poor outcomes.InterpretationICH patients had reduced aSKNA, which could be a prognostic indicator. A lower aSKNA suggested a worse prognosis. The present data indicate that ECG signals could be helpful for prognosticating ICH patients.

Funder

Jiangsu Province's Key Provincial Talents Program

Publisher

Wiley

Subject

Neurology (clinical),General Neuroscience

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