Expansion-Prone Hematoma: Defining a Population at High Risk of Hematoma Growth and Poor Outcome.

Abstract:

BACKGROUND:Noncontrast computed tomography (CT) markers are increasingly used for predicting hematoma expansion. The aim of our study was to investigate the predictive value of expansion-prone hematoma in predicting hematoma expansion and outcome in patients with intracerebral hemorrhage (ICH). METHODS:Between July 2011 and January 2017, ICH patients who underwent baseline CT scan within 6 h of symptoms onset and follow-up CT scan were recruited into the study. Expansion-prone hematoma was defined as the presence of one or more of the following imaging markers: blend sign, black hole sign, or island sign. The diagnostic performance of blend sign, black hole sign, island sign, and expansion-prone hematoma in predicting hematoma expansion was assessed. Predictors of hematoma growth and poor outcome were analyzed using multivariable logistical regression analysis. RESULTS:A total of 282 patients were included in our final analysis. Of 88 patients with early hematoma growth, 69 (78.4%) had expansion-prone hematoma. Expansion-prone hematoma had a higher sensitivity and accuracy for predicting hematoma expansion and poor outcome when compared with any single imaging marker. After adjustment for potential confounders, expansion-prone hematoma independently predicted hematoma expansion (OR 28.33; 95% CI 12.95-61.98) and poor outcome (OR 5.67; 95% CI 2.82-11.40) in multivariable logistic model. CONCLUSION:Expansion-prone hematoma seems to be a better predictor than any single noncontrast CT marker for predicting hematoma expansion and poor outcome. Considering the high risk of hematoma expansion in these patients, expansion-prone hematoma may be a potential therapeutic target for anti-expansion treatment in future clinical studies.

journal_name

Neurocrit Care

journal_title

Neurocritical care

authors

Li Q,Shen YQ,Xie XF,Xue MZ,Cao D,Yang WS,Li R,Deng L,Wei M,Lv FJ,Wu GF,Tang ZP,Xie P

doi

10.1007/s12028-018-0644-3

subject

Has Abstract

pub_date

2019-06-01 00:00:00

pages

601-608

issue

3

eissn

1541-6933

issn

1556-0961

pii

10.1007/s12028-018-0644-3

journal_volume

30

pub_type

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