2021
Predicting neuroimaging eligibility for extended-window endovascular thrombectomy.
de Havenon A, Mickolio K, O'Donnell S, Stoddard G, McNally JS, Alexander M, Taussky P, Awad AW. Predicting neuroimaging eligibility for extended-window endovascular thrombectomy. Journal Of Neurosurgery 2021, 135: 1100-1104. PMID: 33636705, PMCID: PMC8387497, DOI: 10.3171/2020.8.jns20386.Peer-Reviewed Original ResearchLarge vessel occlusionAlberta Stroke Program Early CT ScoreTissue plasminogen activatorEndovascular thrombectomyC-statisticPatients 5Stroke patientsTreatment windowFurther patient careHealth Stroke ScaleIschemic stroke treatmentLarge patient registriesSecond outcomePatients 4.5Stroke ScaleAdvanced imaging toolsStroke treatmentSalvageable penumbraCT scorePatient eligibilityClinical variablesPatient RegistryMultivariable modelMR perfusionTreatment cutoffTelestroke consultation can accurately diagnose ischemic stroke mimics
Poon J, Tkach A, de Havenon A, Hoversten K, Johnson J, Hannon P, Chung L, Majersik J. Telestroke consultation can accurately diagnose ischemic stroke mimics. Journal Of Telemedicine And Telecare 2021, 29: 444-450. PMID: 33535915, DOI: 10.1177/1357633x21989558.Peer-Reviewed Original ResearchConceptsAIS/transient ischemic attackTransient ischemic attackAcute ischemic strokeStroke mimicsDischarge diagnosisNegative predictive valuePositive predictive valuePredictive valueStroke/transient ischemic attackIntravenous tissue plasminogen activatorAcute neurologic syndromesTissue plasminogen activatorHigh diagnostic agreementMimic diagnosesTelestroke consultationIschemic attackIschemic strokeRetrospective reviewIntracerebral hemorrhageNeurologic syndromeNPV 85Telestroke networkPPV 90Clinical informationTS diagnosis
2020
Pulse pressure variability is associated with unfavorable outcomes in acute ischaemic stroke patients treated with intravenous thrombolysis
Katsanos A, Alexandrov A, Mandava P, Köhrmann M, Soinne L, Barreto A, Sharma V, Mikulik R, Muir K, Rothlisberger T, Grotta J, Levi C, Molina C, Saqqur M, Palaiodimou L, Psaltopoulou T, Vosko M, Moreira T, Fiebach J, Rubiera M, Sandset E, de Havenon A, Kent T, Alexandrov A, Schellinger P, Tsivgoulis G, Investigators F. Pulse pressure variability is associated with unfavorable outcomes in acute ischaemic stroke patients treated with intravenous thrombolysis. European Journal Of Neurology 2020, 27: 2453-2462. PMID: 32697894, DOI: 10.1111/ene.14447.Peer-Reviewed Original ResearchConceptsPatients treated with intravenous thrombolysisAcute ischaemic strokeIndependent functional outcomePulse pressure variabilityIntravenous thrombolysisIntracranial bleedingAssociated with adverse short-termFunctional outcomesBlood pressureStroke patients treated with intravenous thrombolysisTissue plasminogen activator bolusSystemic tissue plasminogen activatorAssociated with unfavorable outcomesAssociated with worse neurological outcomeSymptomatic intracranial bleedingLong-term functional outcomeSafety end pointPulse pressureAcute ischaemic stroke patientsAdverse short-termLysis of thrombiPressure variabilityTissue plasminogen activatorCombined Lysis of ThrombusIntravenous thrombolysis administration
2018
Increased blood pressure variability after endovascular thrombectomy for acute stroke is associated with worse clinical outcome
Bennett AE, Wilder MJ, McNally JS, Wold JJ, Stoddard GJ, Majersik JJ, Ansari S, de Havenon A. Increased blood pressure variability after endovascular thrombectomy for acute stroke is associated with worse clinical outcome. Journal Of NeuroInterventional Surgery 2018, 10: 823. PMID: 29352059, DOI: 10.1136/neurintsurg-2017-013473.Peer-Reviewed Original ResearchConceptsModified Rankin ScaleBlood pressure variabilityIntra-arterial therapyIntravenous tissue plasminogen activatorPressure variabilityTissue plasminogen activatorLogistic regression modelsOrdinal logistic regression modelsIschemic strokeWorse outcomesMean age 63.2 yearsMedian admission National InstitutesMultivariable ordinal logistic regression modelsSystolic blood pressure variabilityPlasminogen activatorAdmission National InstitutesWorse neurologic outcomeWorse clinical outcomesLogistic regression analysisOrdinal logistic regression analysisIndependent predictive abilitySuccessive variationAcute strokeEndovascular thrombectomyNeurologic outcome
2017
Determinants of the impact of blood pressure variability on neurological outcome after acute ischaemic stroke
de Havenon A, Bennett A, Stoddard GJ, Smith G, Chung L, O'Donnell S, McNally JS, Tirschwell D, Majersik JJ. Determinants of the impact of blood pressure variability on neurological outcome after acute ischaemic stroke. Stroke And Vascular Neurology 2017, 2: 1. PMID: 28959484, PMCID: PMC5435214, DOI: 10.1136/svn-2016-000057.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBlood PressureBlood Pressure DeterminationCerebral AngiographyCerebrovascular CirculationCollateral CirculationComputed Tomography AngiographyDisability EvaluationFemaleHumansIschemic StrokeMaleMiddle AgedNeuroimagingPatient AdmissionPerfusion ImagingPredictive Value of TestsPrognosisRecovery of FunctionRetrospective StudiesRisk FactorsTime FactorsConceptsBlood pressure variabilityProximal vessel occlusionAcute ischemic strokeIschemic strokeVessel occlusionNeurological outcomeBPV indicesPressure variabilityAcute anterior circulation ischemic strokeAnterior circulation ischemic strokeIntravenous tissue plasminogen activatorGood collateral vesselsIschemic core volumeLarger mismatch volumeWorse neurological outcomeAcute stroke therapySubset of patientsSystolic blood pressureTissue plasminogen activatorLogistic regression modelsOrdinal logistic regression modelsEndovascular thrombectomyIschemic penumbraStroke onsetStroke outcome