Abstract

Introduction: Supratentorial Intracerebral hemorrhage (ICH) main prognostic factors on admission are age, Glasgow coma scale (GCS), ICH volume and ventricular hemorrhage. Subsequent ICH expansion and associated elevated intracranial pressure (ICP) have also been linked to poorer outcomes. Dilatation of optic nerve sheath diameter (ONSD) by trans-orbital ultrasound examination is an increasingly recognized marker of elevated ICP. We sought to evaluate whether increased ONSD at hospital admission could be associated with mortality among patients with supratentorial ICH. Methods: Prospective cohort of consecutive acute supratentorial ICH patients admitted to a tertiary stroke center. Exclusion criteria: 1) last well seen > 24 hours; 2) immediate surgical intervention indicated by neurosurgery team; 3) Secondary ICH (anticoagulants and antiplatelets were allowed); 4) previous optic nerve pathology precluding accurate ONSD measurements. Ultrasound assessment and CT performed within the first hour after admission. Primary outcome was 90-days mortality. Multivariate logistic regression, ROC curve and c-statistics was used to identify independent predictors of mortality. Results: Between July 2014 and July 2017, 57 patients were evaluated. Among those, 13 were excluded and 44 were recruited into the trial. Their mean age was 62.3± 13.1 years and 32 (72.7%) were male. On univariate analysis, ICH volume on admission CT scan, ICH ipsilateral ONSD measurement on admission TCCD, diabetes and current smoking were predictors of mortality. After multivariate analysis, ipsilateral ONSD (OR:6.24;95CI%1.18-33.1;p=0.031) was an independent predictor of mortality, even after adjustment for ICH volume, age, GCS and intraventricular hemorrhage. The ONSD had an area under the curve (AUC) of 0.71 (p=0.021) for mortality at 3 months. Conclusion: ONSD is a non-invasively, bedside, low cost technique that could be used to estimate increased ICP in patients with acute supratentorial ICH. Among these patients, increased ONSD is an independent predictor of mortality at 3 months.

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