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Background <p>Hemorrhagic transformation (HT), especially symptomatic HT (sHT), seriously affects the functional prognosis in patients following mechanical thrombectomy (MT). The present study aimed to investigate the association of HT with heart rate variability (HRV) using multiple parameters in patients undergoing MT.</p> Methods <p>Between November 2019 and April 2024, we enrolled eligible patients according to the inclusion criteria and exclusion criteria. Linear parameters and nonlinear approaches reflecting HRV were calculated and analyzed.</p> Results <p>A total of 254 patients were included in the analysis, including 56 patients with HT and 198 patients without, and 24 patients with sHT and 230 patients without. Nonlinear approaches including SD1/SD2 ratio, Higuchi fractal dimension (HFD), large-scale multiscale entropy index (MSE<sub>LS</sub>), multiscale entropy area under the curve (MSE<sub>AUC</sub>), large-scale composite multiscale entropy index (CMSE<sub>LS</sub>), and composite multiscale entropy area under the curve (CMSE<sub>AUC</sub>) were showed to be independently associated with sHT (p &lt; 0.05). Meanwhile, receiver operating characteristic curves suggested that CMSE<sub>LS</sub> was a better indicator to predict sHT than other HRV parameters, with the area under the curve of 0.708 (95%CI 0.581–0.835).</p> Conclusions <p>Nonlinear parameters of HRV including SD1/SD2 ratio, HFD, MSE<sub>LS</sub>, MSE<sub>AUC</sub>, CMSE<sub>LS</sub>, and CMSE<sub>AUC</sub> provide an independent indicator for predicting sHT in patients following MT.</p>

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Multiparameters of heart rate variability predict symptomatic hemorrhagic transformation in patients following mechanical thrombectomy

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  • 发表日期：

    2026年1月23日

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  • Yuyang Lin,
  • Yingwen Su,
  • Shanglin Yang,
  • Yi Liu,
  • Xiaoqing Ouyang,
  • Zhihua Xiao,
  • Yunqing Chen,
  • Zubing Xu,
  • Xuwei Liao,
  • Hongbin Zhou,
  • Qin Huang,
  • Jingwei Huang,
  • Pu Fang,
  • Daojun Hong,
  • Jing Lin

摘要

Background

Hemorrhagic transformation (HT), especially symptomatic HT (sHT), seriously affects the functional prognosis in patients following mechanical thrombectomy (MT). The present study aimed to investigate the association of HT with heart rate variability (HRV) using multiple parameters in patients undergoing MT.

Methods

Between November 2019 and April 2024, we enrolled eligible patients according to the inclusion criteria and exclusion criteria. Linear parameters and nonlinear approaches reflecting HRV were calculated and analyzed.

Results

A total of 254 patients were included in the analysis, including 56 patients with HT and 198 patients without, and 24 patients with sHT and 230 patients without. Nonlinear approaches including SD1/SD2 ratio, Higuchi fractal dimension (HFD), large-scale multiscale entropy index (MSELS), multiscale entropy area under the curve (MSEAUC), large-scale composite multiscale entropy index (CMSELS), and composite multiscale entropy area under the curve (CMSEAUC) were showed to be independently associated with sHT (p < 0.05). Meanwhile, receiver operating characteristic curves suggested that CMSELS was a better indicator to predict sHT than other HRV parameters, with the area under the curve of 0.708 (95%CI 0.581–0.835).

Conclusions

Nonlinear parameters of HRV including SD1/SD2 ratio, HFD, MSELS, MSEAUC, CMSELS, and CMSEAUC provide an independent indicator for predicting sHT in patients following MT.