Clinical course of untreated cerebral cavernous malformations: a meta-analysis of individual patient data

Margaret A Horne1, Kelly D Flemming2, I-Chang Su3

  • 1Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK.

The Lancet. Neurology
|December 15, 2015
PubMed

Insights

Predictors for symptomatic intracranial haemorrhage (ICH) in cerebral cavernous malformations (CCMs) were identified. Clinical presentation and brainstem location significantly increase ICH risk, aiding treatment decisions for CCM patients.

Area of Science:

  • Neurology
  • Neurosurgery
  • Vascular Medicine

Background:

  • Cerebral cavernous malformations (CCMs) are vascular anomalies that can lead to symptomatic intracranial haemorrhage (ICH).
  • Previous risk estimates for ICH in CCM patients are imprecise, and predictors remain uncertain.
  • Accurate risk assessment is crucial for guiding treatment decisions in CCM management.

Purpose of the Study:

  • To provide precise estimates of the risk of symptomatic ICH in untreated patients with CCMs.
  • To identify reliable predictors of ICH risk in individuals with CCMs.
  • To inform clinical management strategies for CCM patients.

Main Methods:

  • An individual patient data meta-analysis was conducted, pooling data from published cohorts of CCM patients aged 16 years or older.
  • Systematic reviews of Ovid MEDLINE and Embase databases identified relevant studies up to April 30, 2015.
  • Survival analysis and multivariable Cox regression models were used to estimate ICH risk and identify predictors.

Main Results:

  • The 5-year risk of symptomatic ICH was estimated at 15.8% across 1620 patients from seven cohorts.
  • Clinical presentation (ICH or focal neurological deficit) and brainstem location were significant independent predictors of ICH.
  • Specific 5-year ICH risks varied significantly based on presentation and location, ranging from 3.8% to 30.8%.

Conclusions:

  • The mode of clinical presentation and the location of CCMs are key independent predictors of ICH risk within five years.
  • These findings offer valuable insights for clinicians in determining the optimal timing and necessity of CCM treatment.
  • Precise risk stratification can improve patient outcomes and personalize management strategies for cerebral cavernous malformations.
Abstract