2017
Multivariate Prognostic Model of Acute Stroke Combining Admission Infarct Location and Symptom Severity: A Proof-of-Concept Study
Payabvash S, Benson JC, Tyan AE, Taleb S, McKinney AM. Multivariate Prognostic Model of Acute Stroke Combining Admission Infarct Location and Symptom Severity: A Proof-of-Concept Study. Journal Of Stroke And Cerebrovascular Diseases 2017, 27: 936-944. PMID: 29198948, DOI: 10.1016/j.jstrokecerebrovasdis.2017.10.034.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overArea Under CurveBrainBrain IschemiaBrain MappingDatabases, FactualDecision Support TechniquesDiffusion Magnetic Resonance ImagingDisability EvaluationFemaleHumansLogistic ModelsMaleMesencephalonMiddle AgedMultivariate AnalysisOdds RatioPatient AdmissionPonsPredictive Value of TestsProof of Concept StudyReproducibility of ResultsRetrospective StudiesRisk FactorsROC CurveSeverity of Illness IndexStrokeTime FactorsTreatment OutcomeConceptsDisability/deathMidbrain/ponsAcute ischemic stroke patientsIschemic stroke patientsAdmission NIHSS scoreStroke patientsNIHSS scoreIndependent predictorsInfarct locationScale scoreHealth Stroke Scale scoreHigher admission NIHSS scoresModified Rankin Scale scoreSymptom severityAdmission stroke severityBaseline functional disabilityLarger infarct volumesStroke Scale scoreRankin Scale scoreHours of onsetAcute ischemic infarctMultivariate prognostic modelMajor arterial occlusionHypothesis-generating studyVoxel-based analysis
2013
Variable Selection and Prediction Using a Nested, Matched Case-Control Study: Application to Hospital Acquired Pneumonia in Stroke Patients
Qian J, Payabvash S, Kemmling A, Lev MH, Schwamm LH, Betensky RA. Variable Selection and Prediction Using a Nested, Matched Case-Control Study: Application to Hospital Acquired Pneumonia in Stroke Patients. Biometrics 2013, 70: 153-163. PMID: 24320930, PMCID: PMC3954429, DOI: 10.1111/biom.12113.Peer-Reviewed Original ResearchConceptsMassachusetts General HospitalCase-control studyStroke patientsAcute ischemic stroke patientsBrain regionsMatched Case-Control StudyHospital-Acquired PneumoniaIschemic stroke patientsLarge prospective studiesUnconditional logistic regressionCase-control designSpecific brain regionsAcquired PneumoniaAcute infarctionClinical featuresProspective studyClinical variablesGeneral HospitalEpidemiologic studiesPatientsModern imagingLarger studyLogistic regressionAppropriate statistical analysisHAP studiesHospital Acquired Pneumonia Is Linked to Right Hemispheric Peri-Insular Stroke
Kemmling A, Lev MH, Payabvash S, Betensky RA, Qian J, Masrur S, Schwamm LH. Hospital Acquired Pneumonia Is Linked to Right Hemispheric Peri-Insular Stroke. PLOS ONE 2013, 8: e71141. PMID: 23951094, PMCID: PMC3737185, DOI: 10.1371/journal.pone.0071141.Peer-Reviewed Original ResearchConceptsHemispheric infarctsBrain regionsConsecutive acute stroke patientsConditional logistic regression modelsHospital-Acquired PneumoniaRight hemispheric infarctAcute stroke patientsInsular cortex volumeVolume-based variablesSpecific brain regionsLogistic regression modelsAcquired PneumoniaControl patientsMajor complicationsBrainstem strokeImmune suppressionInfarct sizeStroke patientsAutonomic modulationClinical variablesAdmission imagingInfarct locationUnivariate analysisImmune mechanismsCortex volume
2011
Admission CT Perfusion Is an Independent Predictor of Hemorrhagic Transformation in Acute Stroke with Similar Accuracy to DWI
Souza LC, Payabvash S, Wang Y, Kamalian S, Schaefer P, Gonzalez RG, Furie KL, Lev MH. Admission CT Perfusion Is an Independent Predictor of Hemorrhagic Transformation in Acute Stroke with Similar Accuracy to DWI. Cerebrovascular Diseases 2011, 33: 8-15. PMID: 22143195, PMCID: PMC3250646, DOI: 10.1159/000331914.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBostonCerebrovascular CirculationChi-Square DistributionDiffusion Magnetic Resonance ImagingFemaleHumansIntracranial HemorrhagesLogistic ModelsMaleMiddle AgedMultivariate AnalysisPatient AdmissionPerfusion ImagingPredictive Value of TestsPrognosisRetrospective StudiesRisk AssessmentRisk FactorsROC CurveStrokeTomography, X-Ray ComputedConceptsRelative mean transit timeAdmission CT perfusionDiffusion-weighted imagingPredictors of HTRelative cerebral blood flowHemorrhagic transformationCT perfusionAcute strokeIndependent predictorsTissue volumeAdmission diffusion-weighted imagingConsecutive stroke patientsOnly independent predictorCerebral blood flowIschemic hemisphereMechanical thrombectomyStroke patientsInfarct coreMean transit timeBlood flowTest characteristicsCurve analysisDWI scansLesionsStroke
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