BACKGROUND: Ability to predict risk of postthrombolysis intracerebral hemorrhage (ICH) is currently limited. METHODS: Using data from the Multicenter Recombinant Tissue Plasminogen Activator Stroke Survey Group, we developed a score to predict this risk. One point was assigned for the presence of each of 4 variables: age older than 60 years, baseline National Institutes of Health Stroke Scale score greater than 10, glucose greater than 8.325 mmol/L, and platelet count less than 150,000/mm(3). RESULTS: Rate of any ICH increased with higher scores: 0 points, 2.6%; 1 point, 9.7%; 2 points, 15.1%; and greater than or equal to 3 points, 37.9%. The model had reasonable discriminatory capability (C-statistic 0.69). A similar pattern was seen with symptomatic and asymptomatic ICH separately, and with radiographically defined parenchymal hemorrhage. CONCLUSION: A simple risk score may be useful for predicting postthrombolysis ICH.
BACKGROUND: Ability to predict risk of postthrombolysis intracerebral hemorrhage (ICH) is currently limited. METHODS: Using data from the Multicenter Recombinant Tissue Plasminogen ActivatorStroke Survey Group, we developed a score to predict this risk. One point was assigned for the presence of each of 4 variables: age older than 60 years, baseline National Institutes of Health Stroke Scale score greater than 10, glucose greater than 8.325 mmol/L, and platelet count less than 150,000/mm(3). RESULTS: Rate of any ICH increased with higher scores: 0 points, 2.6%; 1 point, 9.7%; 2 points, 15.1%; and greater than or equal to 3 points, 37.9%. The model had reasonable discriminatory capability (C-statistic 0.69). A similar pattern was seen with symptomatic and asymptomatic ICH separately, and with radiographically defined parenchymal hemorrhage. CONCLUSION: A simple risk score may be useful for predicting postthrombolysis ICH.
Authors: Alexander D Horsch; Edwin Bennink; Tom van Seeters; L Jaap Kappelle; Yolanda van der Graaf; Willem P T M Mali; Hugo W A M de Jong; Birgitta K Velthuis; Jan Willem Dankbaar Journal: Cerebrovasc Dis Date: 2018-01-08 Impact factor: 2.762
Authors: Joshua A Stone; Joshua Z Willey; Salah Keyrouz; James Butera; Ryan A McTaggart; Shawna Cutting; Brian Silver; Bradford Thompson; Karen L Furie; Shadi Yaghi Journal: Curr Treat Options Neurol Date: 2017-01 Impact factor: 3.598
Authors: David Asuzu; Karin Nyström; Hardik Amin; Joseph Schindler; Charles Wira; David Greer; Nai Fang Chi; Janet Halliday; Kevin N Sheth Journal: Neurocrit Care Date: 2015-10 Impact factor: 3.210
Authors: David Asuzu; Karin Nyström; Hardik Amin; Joseph Schindler; Charles Wira; David Greer; Nai Fang Chi; Janet Halliday; Kevin N Sheth Journal: Neurocrit Care Date: 2015-12 Impact factor: 3.210
Authors: David Asuzu; Karin Nystrom; Hardik Amin; Joseph Schindler; Charles Wira; David Greer; Nai Fang Chi; Janet Halliday; Kevin N Sheth Journal: Neurocrit Care Date: 2015-04 Impact factor: 3.210
Authors: Glen C Jickling; Bradley P Ander; Boryana Stamova; Xinhua Zhan; Dazhi Liu; Lena Rothstein; Piero Verro; Jane Khoury; Edward C Jauch; Arthur M Pancioli; Joseph P Broderick; Frank R Sharp Journal: Ann Neurol Date: 2013-09-10 Impact factor: 10.422