Risk factors for intracranial hemorrhage after mechanical thrombectomy: a systematic review and meta-analysis

Zilong Hao1, Chunsong Yang2, Lingbao Xiang3

  • 1Center of Cerebrovascular Disease, Department of Neurology, West China Hospital, Sichuan University , Chengdu , Sichuan Province , P.R. China.

Insights

Intracerebral hemorrhage (ICH) after mechanical thrombectomy (MT) is a significant risk. Female sex, longer treatment times, tirofiban, and low ASPECTS scores predict symptomatic ICH, while diabetes, deep white matter changes, and rt-PA predict any ICH.

Area of Science:

  • Neurology
  • Interventional Neurology
  • Stroke Medicine

Background:

  • Intracerebral hemorrhage (ICH) is a critical complication following mechanical thrombectomy (MT).
  • Understanding ICH risk factors is crucial for patient management and improving outcomes.
  • This meta-analysis synthesizes current evidence on predictors of ICH post-MT.

Purpose of the Study:

  • To systematically identify and evaluate independent predictors of various types of ICH after MT.
  • To provide a comprehensive overview of risk factors associated with symptomatic ICH (sICH), parenchymal hematoma (PH), hemorrhagic infarction (HI), and any ICH.

Main Methods:

  • Systematic literature search of Pubmed and Embase databases (inception to November 2018).
  • Inclusion of 42 studies comprising 10,001 patients.
  • Meta-analysis to identify independent predictors for different ICH classifications.

Main Results:

  • Overall rates: sICH 8%, PH 13%, HI 25%, any ICH 35%.
  • Predictors of sICH: female sex, longer treatment interval, tirofiban use, lower ASPECTS score.
  • Predictors of any ICH: diabetes mellitus, deep white matter changes on DWI, intravenous rt-PA administration.

Conclusions:

  • Multiple predictors for ICH following MT have been identified.
  • Further large-scale cohort studies are recommended to validate these findings due to current evidence limitations.
  • These identified predictors can inform risk stratification and clinical decision-making in MT procedures.

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