Why does superficial siderosis predict recurrent intracerebral haemorrhage?

  Cortical superficial siderosis predicts early recurrent lobar hemorrhage

Roongpiboonsopit D, Charidimou A, William CM, et al.

Neurology 2016; 87:1863-1870.



To identify predictors of early lobar intracerebral hemorrhage (ICH) recurrence, defined as a new ICH within 6 months of the index event, in patients with cerebral amyloid angiopathy (CAA).


Participants were consecutive survivors (age ≥55 years) of spontaneous symptomatic probable or possible CAA-related lobar ICH according to the Boston criteria, drawn from an ongoing single-center cohort study. Neuroimaging markers ascertained in CT or MRI included focal (≤3 sulci) or disseminated (>3 sulci) cortical superficial siderosis (cSS), acute convexity subarachnoid hemorrhage (cSAH), cerebral microbleeds, white matter hyperintensities burden and location, and baseline ICH volume. Participants were followed prospectively for recurrent symptomatic ICH. Cox proportional hazards models were used to identify predictors of early recurrent ICH adjusting for potential confounders.


A total of 292 patients were enrolled. Twenty-one patients (7%) had early recurrent ICH. Of these, 24% had disseminated cSS on MRI and 19% had cSAH on CT scan. In univariable analysis, the presence of disseminated cSS, cSAH, and history of previous ICH were predictors of early recurrent ICH (p < 0.05 for all comparisons). After adjusting for age and history of previous ICH, disseminated cSS on MRI and cSAH on CT were independent predictors of early recurrent ICH (hazard ratio [HR] 3.92, 95% confidence interval [CI] 1.38-11.17, p = 0.011, and HR 3.48, 95% CI 1.13-10.73, p = 0.030, respectively).


Disseminated cSS on MRI and cSAH on CT are independent imaging markers of increased risk for early recurrent ICH. These markers may provide additional insights into the mechanisms of ICH recurrence in patients with CAA.

This reference is now included in the neurochecklist:

Intracerebral haemorrhage (ICH): complications


Abstract link

By Hellerhoff - Own work, CC BY-SA 3.0, Link
By HellerhoffOwn work, CC BY-SA 3.0, Link

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