OBJECTIVE: Early hematoma expansion is a known cause of morbidity and mortality in patients with intracerebral hemorrhage (ICH). The goal of this study was to identify clinical predictors of ICH growth in the acute stage. MATERIALS AND METHODS: We studied 201 patients with acute (<6 h) deep ganglionic ICH. Patients underwent CT scan at baseline and hematoma expansion (>33% or >12.5 ml increase) was determined on the second scan performed within 24 h. Fourteen clinical and neuroimaging variables (age, gender, GCS at admission, hypertension, diabetes mellitus, kidney disease, stroke, hemorrhagic, antiplatelet use, anticoagulant use, hematoma density heterogeneity, hematoma shape irregularity, hematoma volume and presence of IVH) were registered. Additionally, blood pressure was registered at initial systolic BP (i-SBP) and systolic BP 1.5 h after admission (1.5 h-SBP). The discriminant value of the hematoma volume and 1.5 h-SBP for hematoma expansion were determined by the receiver operating characteristic (ROC) curves. Factors associated with hematoma expansion were analyzed with multiple logistic regression. RESULTS: Early hematoma expansion occurred in 15 patients (7.0%). The cut-off value of hematoma volume and 1.5 h-SBP were determined to be 16 ml and 160 mmHg, respectively. Hematoma volume above 16 ml (HV>16) ([OR]=5.05, 95% CI 1.32-21.36, p=0.018), hematoma heterogeneity (HH) ([OR]=7.81, 95% CI 1.91-40.23, p=0.004) and 1.5 h-SBP above 160 mmHg (1.5 h-SBP>160) ([OR]=8.77, 95% CI 2.33-44.56, p=0.001) independently predicted ICH expansion. If those three factors were present, the probability was estimated to be 59%. CONCLUSIONS: The presented model (HV>16, HH, 1.5 h-SBP>160) can be a practical tool for prediction of ICH growth in the acute stage. Further prospective studies are warranted to validate the ability of this model to predict clinical outcome.
OBJECTIVE: Early hematoma expansion is a known cause of morbidity and mortality in patients with intracerebral hemorrhage (ICH). The goal of this study was to identify clinical predictors of ICH growth in the acute stage. MATERIALS AND METHODS: We studied 201 patients with acute (<6 h) deep ganglionic ICH. Patients underwent CT scan at baseline and hematoma expansion (>33% or >12.5 ml increase) was determined on the second scan performed within 24 h. Fourteen clinical and neuroimaging variables (age, gender, GCS at admission, hypertension, diabetes mellitus, kidney disease, stroke, hemorrhagic, antiplatelet use, anticoagulant use, hematoma density heterogeneity, hematoma shape irregularity, hematoma volume and presence of IVH) were registered. Additionally, blood pressure was registered at initial systolic BP (i-SBP) and systolic BP 1.5 h after admission (1.5 h-SBP). The discriminant value of the hematoma volume and 1.5 h-SBP for hematoma expansion were determined by the receiver operating characteristic (ROC) curves. Factors associated with hematoma expansion were analyzed with multiple logistic regression. RESULTS: Early hematoma expansion occurred in 15 patients (7.0%). The cut-off value of hematoma volume and 1.5 h-SBP were determined to be 16 ml and 160 mmHg, respectively. Hematoma volume above 16 ml (HV>16) ([OR]=5.05, 95% CI 1.32-21.36, p=0.018), hematoma heterogeneity (HH) ([OR]=7.81, 95% CI 1.91-40.23, p=0.004) and 1.5 h-SBP above 160 mmHg (1.5 h-SBP>160) ([OR]=8.77, 95% CI 2.33-44.56, p=0.001) independently predicted ICH expansion. If those three factors were present, the probability was estimated to be 59%. CONCLUSIONS: The presented model (HV>16, HH, 1.5 h-SBP>160) can be a practical tool for prediction of ICH growth in the acute stage. Further prospective studies are warranted to validate the ability of this model to predict clinical outcome.
Authors: Gregoire Boulouis; Andrea Morotti; Andreas Charidimou; Dar Dowlatshahi; Joshua N Goldstein Journal: Stroke Date: 2017-03-13 Impact factor: 7.914
Authors: Andrea Morotti; Dar Dowlatshahi; Gregoire Boulouis; Fahad Al-Ajlan; Andrew M Demchuk; Richard I Aviv; Liyang Yu; Kristin Schwab; Javier M Romero; M Edip Gurol; Anand Viswanathan; Christopher D Anderson; Yuchiao Chang; Steven M Greenberg; Adnan I Qureshi; Jonathan Rosand; Joshua N Goldstein Journal: Stroke Date: 2018-04-18 Impact factor: 7.914