White Matter Hyperintensity-Adjusted Critical Infarct Thresholds to Predict a Favorable 90-Day Outcome
UMass Chan AffiliationsGraduate School of Biomedical Sciences, Millennium PhD Program
Department of Radiology
Department of Neurology
Document TypeJournal Article
cerebral small vessel diseases
white matter hyperintensities
Nervous System Diseases
MetadataShow full item record
AbstractBACKGROUND AND PURPOSE: There is increasing interest in defining stroke lesion volume thresholds to predict poststroke outcome. However, there is a paucity of data on factors that impact the association between critical infarct thresholds volume and outcome. We sought to determine whether lesion thresholds best predicting outcome depend on the degree of preexisting white matter hyperintensity (WMH) lesion burden. METHODS: Magnetic resonance imaging infarct volumes were quantified in 414 consecutive patients with anterior circulation ischemic strokes evaluated between January 2014 and December 2014. The WMH lesion volume was graded according to the Fazekas scale and dichotomized to absent to mild versus moderate to severe. Receiver operator characteristics curves were calculated to determine the infarct volume threshold best predicting the 90-day outcome. Multivariable logistic regression was used to determine whether the critical lesion thresholds independently predicted a favorable 90-day outcome after adjusting for pertinent confounders. RESULTS: The infarct volumes thresholds predicting the 90-day outcome for the entire cohort (standard thresholds) were CONCLUSIONS: In this proof-of-concept study, the WMH lesion burden impacted the critical outcome-predicting infarct thresholds. If confirmed, using a WMH-adjusted infarct threshold could allow defining patients that have a favorable outcome despite having relatively large infarct volumes.
SourceStroke. 2016 Oct;47(10):2526-33. Epub 2016 Sep 15. Link to article on publisher's site
Permanent Link to this Itemhttp://hdl.handle.net/20.500.14038/48113
Co-author Nils Henninger is a doctoral student in the Millennium PhD Program (MPP) in the Graduate School of Biomedical Sciences (GSBS) at UMass Medical School.
Related ResourcesLink to Article in PubMed