2024
Impaired mobility and MRI markers of vascular brain injury: Atherosclerosis Risk in Communities and UK Biobank studies
Sharma R, de Havenon A, Rivier C, Payabvash S, Forman R, Krumholz H, Falcone G, Sheth K, Kernan W. Impaired mobility and MRI markers of vascular brain injury: Atherosclerosis Risk in Communities and UK Biobank studies. BMJ Neurology Open 2024, 6: e000501. PMID: 38288313, PMCID: PMC10823923, DOI: 10.1136/bmjno-2023-000501.Peer-Reviewed Original ResearchVascular brain injurySlow walkingAtherosclerosis RiskMobility impairmentsAssociated with mobility impairmentImpaired mobilityUK Biobank (UKBStroke-free cohortMarkers of vascular brain injuryAdjusted multivariate logistic regression analysisGait dataMultivariate logistic regression analysisCommunity-dwellingLogistic regression analysisBrain injuryARICUKBInclusion criteriaStudy cohortWalkingClinical strokeRegression analysisImpaired outcomeMRI markersStudy background
2013
Good Outcome Rate of 35% in IV-tPA–Treated Patients With Computed Tomography Angiography Confirmed Severe Anterior Circulation Occlusive Stroke
González RG, Furie KL, Goldmacher GV, Smith WS, Kamalian S, Payabvash S, Harris GJ, Halpern EF, Koroshetz WJ, Camargo EC, Dillon WP, Lev MH. Good Outcome Rate of 35% in IV-tPA–Treated Patients With Computed Tomography Angiography Confirmed Severe Anterior Circulation Occlusive Stroke. Stroke 2013, 44: 3109-3113. PMID: 24003051, PMCID: PMC4374554, DOI: 10.1161/strokeaha.113.001938.Peer-Reviewed Original ResearchConceptsAnterior circulation occlusionGood outcome rateIV-tPACT angiographyBetter outcomesRankin ScaleOutcome ratesAnterior circulation ischemic strokeHealth Stroke Scale scoreIntravenous tissue plasminogen activatorAdmission National InstitutesEndovascular therapy trialsNoncontrast CT scanningStroke Scale scoreLarge artery occlusionIV-tPA treatmentLogistic regression analysisTissue plasminogen activatorRoutine clinical protocolsSymptomatic strokeOcclusive strokeAcute strokeAdmission NIHSSArtery occlusionIschemic stroke
2010
Predicting Language Improvement in Acute Stroke Patients Presenting with Aphasia: A Multivariate Logistic Model Using Location-Weighted Atlas-Based Analysis of Admission CT Perfusion Scans
Payabvash S, Kamalian S, Fung S, Wang Y, Passanese J, Kamalian S, Souza LC, Kemmling A, Harris GJ, Halpern EF, González RG, Furie KL, Lev MH. Predicting Language Improvement in Acute Stroke Patients Presenting with Aphasia: A Multivariate Logistic Model Using Location-Weighted Atlas-Based Analysis of Admission CT Perfusion Scans. American Journal Of Neuroradiology 2010, 31: 1661-1668. PMID: 20488905, PMCID: PMC3640318, DOI: 10.3174/ajnr.a2125.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAphasiaBrainComputer SimulationFemaleHumansLogistic ModelsMaleModels, NeurologicalMultivariate AnalysisPattern Recognition, AutomatedPerfusion ImagingPrognosisRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsSensitivity and SpecificityStrokeSubtraction TechniqueTomography, X-Ray ComputedConceptsBrain CTPNIHSS scoreStroke onsetFunctional outcomeFirst-time ischemic strokeProximal cerebral artery occlusionMultiple logistic regression analysisMultivariate logistic regression modelMultivariate modelDischarge NIHSS scoreTotal NIHSS scoreAcute stroke patientsCerebral artery occlusionTime of dischargeCT perfusion imagingLogistic regression analysisMultivariate logistic modelCT perfusion scansLogistic regression modelsAdmission CTAArtery occlusionInfarct volumeIschemic strokeClinical predictorsConsecutive patients