Risk Factors for Massive Cerebral Infarction in Pediatric Patients With Moyamoya Disease

Fangbin Hao1, Gan Gao1, Qingbao Guo1

  • 1Department of Neurosurgery, Chinese PLA General Hospital, Beijing, China; Chinese PLA Medical School, Beijing, China; Department of Neurosurgery, The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China.

Pediatric Neurology
|February 23, 2024
PubMed
Abstract

Insights

Family history, higher MRA scores, poor collateral circulation, and RNF213 variations increase the risk of massive cerebral infarction (MCI) in children with moyamoya disease (MMD). Early identification of these risk factors aids timely intervention.

Area of Science:

  • Neurology
  • Pediatric Medicine
  • Genetics

Background:

  • Moyamoya disease (MMD) is a rare cerebrovascular disorder.
  • Pediatric MMD patients face risks of preoperative massive cerebral infarction (MCI).
  • Identifying MCI risk factors is crucial for early intervention.

Purpose of the Study:

  • To explore risk factors for preoperative MCI in pediatric moyamoya disease patients.
  • To develop a predictive model for MCI in this population.

Main Methods:

  • Retrospective analysis of 308 pediatric MMD patients (2017-2022).
  • Logistic regression and nomogram construction to identify MCI predictors.
  • Receiver operating characteristic (ROC) curve analysis for risk factor assessment.

Main Results:

  • 36 pediatric MMD patients developed MCI.
  • Key risk factors identified: family history, higher MRA score, lower collateral circulation score, and RNF213 p.R4810K variations.
  • A nomogram and integrated ROC model showed high predictive accuracy (85.11%).

Conclusions:

  • Family history, elevated MRA score, reduced collateral circulation, and RNF213 variations are significant MCI risk factors in pediatric MMD.
  • The developed predictive model demonstrates superior efficacy for early risk identification.
  • Timely intervention based on predictive models can improve patient outcomes.

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