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Predictive value of amplitude integrated electroencephalography combined with heart rate variability parameters in early prognosis of acute ischemic stroke patients after mechanical thrombectomy.

Objective To explore predictive efficiency of amplitude integrated electroencephalography (aEEG) combined with heart rate variability (HRV) parameters in early prognosis of acute ischemic stroke patients after mechanical thrombectomy. Methods A total of 137 patients with acute ischemic stroke underg...

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Published in:Chinese Journal of Contemporary Neurology & Neurosurgery Vol. 25; no. 11; pp. 1069 - 1077
Main Authors: WANG, Ju, ZHANG, Ming, HAN, Bing-sha, LI, Jiao, LI, Yan-ru, FENG, Guang
Format: research tables/charts Journal Article
Published: Chinese Journal of Contemporary Neurology & Neurosurgery Nov2025
Online Access:View this record in EBSCOhost
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      dt: Nov2025
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      pub: Chinese Journal of Contemporary Neurology & Neurosurgery
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        10.3969/j.issn.1672-6731.2025.11.013
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        atl: Predictive value of amplitude integrated electroencephalography combined with heart rate variability parameters in early prognosis of acute ischemic stroke patients after mechanical thrombectomy.
      aug:
        au:
          WANG, Ju
          ZHANG, Ming
          HAN, Bing-sha
          LI, Jiao
          LI, Yan-ru
          FENG, Guang
        affil: Department of Neurosurgical Intensive Care Unit, He'nan Provincial People's Hospital; Zhengzhou University People's Hospital, Zhengzhou 450003, He'nan, China
      sug:
        subj:
          Ischemic Stroke Surgery
          Thrombectomy Methods
          Ischemic Stroke Prognosis
          Electroencephalography Methods
          Heart Rate Variability
          Predictive Value of Tests
          Human
          China
          Male
          Female
          Middle Age
          Aged
          Nonexperimental Studies
          Prospective Studies
          Scales
          Univariate Statistics
          Multivariate Analysis
          Step-Wise Multiple Regression
          ROC Curve
          Odds Ratio
          Confidence Intervals
          Neutrophil Lymphocyte Ratio
          T-Tests
          NIH Stroke Scale
          Middle Aged: 45-64 years
          Aged: 65+ years
          Male
          Female
      ab: Objective To explore predictive efficiency of amplitude integrated electroencephalography (aEEG) combined with heart rate variability (HRV) parameters in early prognosis of acute ischemic stroke patients after mechanical thrombectomy. Methods A total of 137 patients with acute ischemic stroke undergoing mechanical thrombectomy in He'nan Provincial People's Hospital were enrolled as the research objects between April 2021 and August 2024. According to 90 d prognosis by modified Rankin Scale (mRS), they were divided into good prognosis group (mRS score ≤ 2, n = 77) and poor prognosis group (mRS score > 2, n = 60). The clinical data (sociodemographic data, laboratory examination data at admission) were collected, preoperative aEEG data were collected to obtain aEEG score. After admission dynamic ECG examination was performed to obtain HRV parameters [standard deviation of normal R-R intervals (SDNN), standard deviation of normal R-R intervals index (SDNN index), root mean square successive difference of normal R-R intervals (RMSSD), and percentage of normal-to-normal intervals differing by more than 50 ms (pNN50)]. The influencing factors of early prognosis in acute ischemic stroke patients after mechanical thrombectomy were screened by univariate and multivariate Logistic regression analyses, and predictive efficiency of aEEG score and HRV parameters of early prognosis in acute ischemic stroke patients after mechanical thrombectomy was evaluated by area under the curve (AUC) of receiver operating characteristic (ROC) curve. Results Multivariate Logistic regression analysis showed that higher National Institutes of Health Stroke Scale (NIHSS) score (OR = 1.779, 95%CI: 1.038-3.050; P = 0.037), higher neutrophil-to-lymphocyte ratio (OR = 1.718, 95%CI: 1.016-2.905; P = 0.044), and higher aEEG score (OR = 1.933, 95%CI: 1.071-3.487; P = 0.029) were risk factors for early poor prognosis in acute ischemic stroke patients after mechanial thrombectomy, while higher SDNN (OR = 0.908, 95%CI: 0.864-0.953; P = 0.000) and higher pNN50 (OR = 0.930, 95%CI: 0.866-0.998; P = 0.043) were protective factors for good prognosis. The AUC values of aEEG score, SDNN, SDNN index, RMSSD and pNN50 for predicting early poor prognosis were 0.673, 0.685, 0.685, 0.734 and 0.774, respectively. AUC of combined detection was 0.882, greater than those of single index (Z = 4.742, P = 0.000; Z = 4.346, P = 0.000; Z = 4.360, P = 0.000; Z = 3.726, P = 0.000; Z = 2.776, P = 0.006). Conclusions aEEG score combined with HRV parameters have high predictive efficiency for early prognosis in acute ischemic stroke patients after mechanical thrombectomy, which can assist clinical determination.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: Chinese
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