Predictors of hemorrhagic transformation after acute ischemic stroke based on the experts’ opinion

• Autor(a) principal: ANDRADE,João Brainer Clares de
• Data de Publicação: 2020
• Outros Autores: MOHR,Jay Preston, LIMA,Fabricio Oliveira, BARROS,Levi Coelho Maia, NEPOMUCENO,Camila Rodrigues, PORTELA,Leonardo Barreira, SILVA,Gisele Sampaio
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Arquivos de neuro-psiquiatria (Online)
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2020000700390
• topic: acute ischemic stroke; hemorrhagic transformation; neurological complication

ABSTRACT Background: Hemorrhagic transformation (HT) is a common complication after ischemic stroke. It may be associated to poor outcomes. Some predictors of HT have been previously identified, but there remain controversies. Objective: To describe the risk factors for HT more frequently reported by a panel of experts surveyed for this project. Methods: We sent a standard questionnaire by e-mail to specialists in Vascular Neurology from 2014 to 2018. Forty-five specialists were contacted and 20 of them responded to the invitation. Predictors cited by three or more specialists were included in a table and ranked by the frequency in which they appeared. A review of the literature looking for published predictive scores of HT was performed, comparing to the answers received. Results: The 20 responding specialists cited 23 different risk factors for HT. The most frequent factors in the order of citation were the volume of ischemia, previous use of antithrombotic medication, neurological severity, age, hyperglycemia at presentation, hypertension on admission, and cardioembolism. Most variables were also found in previously published predictive scores, but they were reported by the authors with divergences of frequency. Conclusion: Although many studies have evaluated HT in patients with acute ischemic stroke, the published risk factors were neither uniform nor in agreement with those cited by the stroke specialists. These findings may be helpful to build a score that can be tested with the goal of improving the prediction of HT.