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Potential predictors for progression of moyamoya disease: A systematic review and meta-analysis

Jun Cao1,2, Zixuan Xing3, Ling Dai4

  • 1Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.

Frontiers in Neurology
|March 20, 2023
PubMed
Abstract

Insights

Predictors for Moyamoya disease (MMD) progression include younger age, family history, and contralateral abnormalities. These factors also indicate progression from unilateral to bilateral MMD, aiding in early identification and management.

Area of Science:

  • Neurology
  • Vascular Neurology
  • Epidemiology

Background:

  • Moyamoya disease (MMD) progression is challenging to predict, often marked by new ischemic or hemorrhagic events.
  • Identifying reliable predictors is crucial for timely intervention and improved patient outcomes.

Approach:

  • A systematic review and meta-analysis was conducted, searching major databases for relevant studies up to December 2022.
  • Included were randomized controlled trials, case-control studies, and cohort studies focusing on MMD progression predictors.
  • Pooled analysis and subgroup analyses were performed to identify significant predictive factors for disease advancement.

Key Points:

  • Lower age (SMD: -0.29, 95% CI: -0.55 to -0.03; P = 0.03) was associated with MMD progression.
  • Family history (OR: 3.97, 95% CI: 1.96 to 8.03; P < 0.001) emerged as a significant predictor.
  • Contralateral abnormality (OR: 3.95, 95% CI: 1.10 to 14.20; P = 0.04) also correlated with disease progression.

Conclusions:

  • Younger age, family history, and contralateral abnormalities are key predictors of MMD progression.
  • These factors are also associated with the transition of MMD from unilateral to bilateral involvement.
  • Further research is recommended to validate these findings and refine predictive models for MMD.
Keywords:
meta-analysismoyamoya diseasepotential predictorsprogressionsystematic review

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