Ultraearly hematoma growth predicts poor outcome after acute intracerebral hemorrhage

Neurology. 2011 Oct 25;77(17):1599-604. doi: 10.1212/WNL.0b013e3182343387. Epub 2011 Oct 12.

Abstract

Objective: To investigate the impact of the adjustment of initial intracerebral hemorrhage (ICH) volume by onset-to-imaging time (ultraearly hematoma growth [uHG]) on further hematoma enlargement and outcome in patients with acute ICH.

Methods: We studied 133 patients with acute (<6 hours) supratentorial ICH. Patients underwent baseline and 24-hour CT scans for ICH volume measurement, and a CT angiography (CTA) for the detection of the spot sign. We defined uHG as the relation between baseline ICH volume/onset-to-imaging time, hematoma growth (HG) as hematoma enlargement >33% or >6 mL at 24 hours, early neurologic deterioration (END) as increase ≥4 points in the NIH Stroke Scale score or death at 24 hours, and poor long-term outcome as modified Rankin Scale score >2 at 3 months.

Results: The uHG was significantly faster in spot sign patients (p < 0.001), as well as in patients who experienced HG (p = 0.021), END (p < 0.001), 3-month mortality (p < 0.001), and poor long-term outcome (p < 0.001). The uHG improved the accuracy of baseline ICH volume in the prediction of END (sensitivity 93.1% vs 82.8%, specificity 85.3% vs 82.4%) and 3-month mortality (sensitivity 77.5% vs 70%, specificity 87.9% vs 84.6%). A uHG >10.2 mL/hour emerged as the most powerful predictor of HG (odds ratio [OR] 3.55, 95% confidence interval [CI] 1.39-9.07, p = 0.008), END (OR 70.22, 95% CI 14.63-337.03, p < 0.001), 3-month mortality (OR 16.96, 95% CI 5.32-54.03, p < 0.001), and poor long-term outcome (OR 6.19, 95% CI 1.32-28.98, p = 0.021).

Conclusions: The uHG represents a powerful and easy-to-use tool for improving the prediction of HG and outcome in patients with acute ICH.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Cerebral Angiography / methods
  • Cerebral Hemorrhage / complications*
  • Disease Progression
  • Female
  • Glasgow Coma Scale
  • Hematoma / diagnostic imaging
  • Hematoma / etiology*
  • Hematoma / pathology*
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Prospective Studies
  • ROC Curve
  • Tomography, X-Ray Computed / methods