2024
Migraine May Represent an Independent Risk Factor for Retinal Stroke: A Population-Based Cohort Study
Lusk J, Song A, Unnithan S, Al-Khalidi H, de Havenon A, Biousse V, Schrag M, Solopova E, Poli S, Osazuwa-Peters N, Xian Y, O'Brien E, Mac Grory B. Migraine May Represent an Independent Risk Factor for Retinal Stroke: A Population-Based Cohort Study. Clinical Neurology And Neurosurgery 2024, 246: 108587. PMID: 39405806, DOI: 10.1016/j.clineuro.2024.108587.Peer-Reviewed Original ResearchRetinal artery occlusionRetinal strokeRisk factorsCohort studyPopulation-based cohort studyState Emergency Department DatabasesPopulation-based dataEmergency Department DatabasesCause-specific hazard modelBurden of atrial fibrillationCongestive cardiac failureIndependent risk factorChronic kidney diseasePrimary exposureDepartment databasePrimary endpointSecondary endpointsCardiac failureAtrial fibrillationHazards modelRobust associationsArtery occlusionKidney diseaseMigraineDiagnostic positionsSocioeconomic and medical determinants of state‐level subjective cognitive decline in the United States
de Havenon A, Stulberg E, Littig L, Wong K, Sarpong D, Li V, Sharma R, Falcone G, Williamson J, Pajewski N, Gottesman R, Brickman A, Sheth K. Socioeconomic and medical determinants of state‐level subjective cognitive decline in the United States. Alzheimer's & Dementia 2024 PMID: 39351858, DOI: 10.1002/alz.14220.Peer-Reviewed Original ResearchSubjective cognitive declinePrevalence of diabetesPrevalence of povertyMedical determinantsBehavioral Risk Factor Surveillance SystemRisk Factor Surveillance SystemCognitive declinePrevalence of subjective cognitive declineBurden of cognitive declinePopulation levelState-level prevalenceMedical risk factorsFunctional impairmentState-level associationsPhysician densityUnited StatesMedical factorsRates of povertyState-level analysisHousehold incomePrimary outcomeCollege educationSurveillance systemRisk factorsEthnic minoritiesWhite matter hyperintensity on MRI and plasma Aβ42/40 ratio additively increase the risk of cognitive impairment in hypertensive adults
de Havenon A, Gottesman R, Willamson J, Rost N, Sharma R, Li V, Littig L, Stulberg E, Falcone G, Prabhakaran S, Schneider A, Sheth K, Pajewski N, Brickman A. White matter hyperintensity on MRI and plasma Aβ42/40 ratio additively increase the risk of cognitive impairment in hypertensive adults. Alzheimer's & Dementia 2024, 20: 6810-6819. PMID: 39229896, PMCID: PMC11485393, DOI: 10.1002/alz.14126.Peer-Reviewed Original ResearchRisk of cognitive impairmentYears of follow-upCognitive impairmentExposure categoriesHigh-risk categoryWhite matter hyperintensitySystolic Blood Pressure Intervention TrialRates of cognitive impairmentSPRINT-MIND trialDementia preventionFollow-upLow-risk categoryMIND trialAdditional risk factorsDevelopment of cognitive impairmentIntervention trialsHypertensive adultsHazard ratioRisk factorsHigh riskLow riskVascular healthTertileRiskImpairmentRisk factors for MACE and bleeding in atrial fibrillation patients undergoing surgery: Insights from the bridge trial
Shu L, Jack N, de Havenon A, Goldstein E, Khan F, Nguyen T, Henninger N, Siegler J, Stretz C, Perelstein E, Kala N, Rana M, Furie K, Douketis J, Yaghi S. Risk factors for MACE and bleeding in atrial fibrillation patients undergoing surgery: Insights from the bridge trial. Journal Of Stroke And Cerebrovascular Diseases 2024, 33: 107839. PMID: 38944363, DOI: 10.1016/j.jstrokecerebrovasdis.2024.107839.Peer-Reviewed Original ResearchMajor adverse cardiovascular eventsSymptomatic bleedingBridging therapyRisk factorsAtrial fibrillationLow-molecular-weight heparin bridging therapyTemporary interruption of warfarin therapyInterruption of warfarin therapyNonsteroidal anti-inflammatory drug useElective proceduresAnti-inflammatory drug useElective invasive proceduresHeparin bridging therapyRisk of adverse outcomesAdverse cardiovascular eventsPerioperative risk stratificationCox regression modelsIdentified risk factorsPost hoc analysisPatient undergoes surgeryLogistic stepwise regressionWarfarin therapyBridging anticoagulationAF patientsBleeding outcomesTrends in American Indian/Alaskan native self-reported stroke prevalence and associated modifiable risk factors in the United States from 2011-2021
Heath T, Shrishail N, Wong K, Johnston K, Sharma R, Ney J, Sheth K, de Havenon A. Trends in American Indian/Alaskan native self-reported stroke prevalence and associated modifiable risk factors in the United States from 2011-2021. Journal Of Stroke And Cerebrovascular Diseases 2024, 33: 107650. PMID: 38460776, PMCID: PMC11253029, DOI: 10.1016/j.jstrokecerebrovasdis.2024.107650.Peer-Reviewed Original ResearchBehavioral Risk Factor Surveillance SystemSelf-reported strokeModifiable vascular risk factorsVascular risk factorsPrevalence of strokeStroke prevalenceRisk factorsPrevalence of self-reported strokeWhite adultsBehavioral Risk Factor Surveillance System surveyRisk Factor Surveillance SystemPersistent health disparitiesAmerican Indian/Alaskan NativesSurvey of adultsModifiable risk factorsHigher overall burdenSurvey-weighted prevalenceUnited StatesHealth disparitiesRace/ethnic groupsRisk of strokeAI/ANOverall burdenRate of strokeSelf-reportUncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan
Tran A, Zeevi T, Haider S, Abou Karam G, Berson E, Tharmaseelan H, Qureshi A, Sanelli P, Werring D, Malhotra A, Petersen N, de Havenon A, Falcone G, Sheth K, Payabvash S. Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan. Npj Digital Medicine 2024, 7: 26. PMID: 38321131, PMCID: PMC10847454, DOI: 10.1038/s41746-024-01007-w.Peer-Reviewed Original ResearchDeep learning modelsHematoma expansionIntracerebral hemorrhageICH expansionComputed tomographyNon-contrast head CTNon-contrast head computed tomographyHigh risk of HEHead computed tomographyHigh-confidence predictionsRisk of HENon-contrast headReceiver operating characteristic areaModifiable risk factorsMonte Carlo dropoutOperating characteristics areaPotential treatment targetHead CTVisual markersIdentified patientsAutomated deep learning modelDataset of patientsRisk factorsHigh riskPatientsTime-Dependent Changes in Hematoma Expansion Rate after Supratentorial Intracerebral Hemorrhage and Its Relationship with Neurological Deterioration and Functional Outcome
Karam G, Chen M, Zeevi D, Harms B, Torres-Lopez V, Rivier C, Malhotra A, de Havenon A, Falcone G, Sheth K, Payabvash S. Time-Dependent Changes in Hematoma Expansion Rate after Supratentorial Intracerebral Hemorrhage and Its Relationship with Neurological Deterioration and Functional Outcome. Diagnostics 2024, 14: 308. PMID: 38337824, PMCID: PMC10855868, DOI: 10.3390/diagnostics14030308.Peer-Reviewed Original ResearchPredictors of NDSupratentorial intracerebral hemorrhageHematoma expansionIntracerebral hemorrhageNeurological deteriorationPoor outcomeNIH Stroke ScalePost-ICHFunctional outcomesMild symptomsHematoma expansion ratesIntracerebral hemorrhage onsetAssociation of HEModifiable risk factorsGlasgow Coma ScaleBaseline CTHematoma growthConsecutive patientsHead CTSCAN-3Follow-upRate of HEComa ScaleRisk factorsHematomaEmergent Large Vessel Occlusion due to Intracranial Stenosis: Identification, Management, Challenges, and Future Directions
Al Kasab S, Nguyen T, Derdeyn C, Yaghi S, Amin-Hanjani S, Kicielinski K, Zaidat O, de Havenon A. Emergent Large Vessel Occlusion due to Intracranial Stenosis: Identification, Management, Challenges, and Future Directions. Stroke 2024, 55: 355-365. PMID: 38252763, DOI: 10.1161/strokeaha.123.043635.Peer-Reviewed Original ResearchConceptsIntracranial atherosclerotic stenosisVessel occlusionRecurrence riskEarly recurrence riskHigh-risk patientsAggressive medical managementRecurrent stroke riskEndovascular therapyHemodynamic failureTreatment strategiesPerfusion imagingAdvanced ageEndovascular interventionIntracranial stenosisMedical managementRisk factorsHigh riskAdvanced imagingAtherosclerotic stenosisStroke riskOcclusionStenosisPatientsRiskBlood Pressure Trajectories and Outcomes After Endovascular Thrombectomy for Acute Ischemic Stroke
Katsanos A, Joundi R, Palaiodimou L, Ahmed N, Kim J, Goyal N, Maier I, de Havenon A, Anadani M, Matusevicius M, Mistry E, Khatri P, Arthur A, Sarraj A, Yaghi S, Shoamanesh A, Catanese L, Psychogios M, Tsioufis K, Malhotra K, Spiotta A, Sandset E, Alexandrov A, Petersen N, Tsivgoulis G. Blood Pressure Trajectories and Outcomes After Endovascular Thrombectomy for Acute Ischemic Stroke. Hypertension 2024, 81: 629-635. PMID: 38164751, PMCID: PMC11289690, DOI: 10.1161/hypertensionaha.123.22164.Peer-Reviewed Original ResearchAcute ischemic strokeEndovascular thrombectomyIschemic strokeSBP trajectoriesOdds ratioSystolic blood pressure trajectoriesEarly neurological deteriorationSevere stroke syndromesVascular risk factorsBlood pressure valuesStudy of patientsBlood pressure trajectoriesTrajectory groupsMixed effects regression modelsStroke syndromeSuccessful recanalizationTotal patientsNeurological deteriorationAdjusted analysisIntracranial hemorrhagePotential confoundersRisk factorsCommon odds ratioHigh prevalenceSBP measurements
2023
Suboptimal Sleep Duration Is Associated With Poorer Neuroimaging Brain Health Profiles in Middle‐Aged Individuals Without Stroke or Dementia
Clocchiatti‐Tuozzo S, Rivier C, Renedo D, Lopez V, Geer J, Miner B, Yaggi H, de Havenon A, Payabvash S, Sheth K, Gill T, Falcone G. Suboptimal Sleep Duration Is Associated With Poorer Neuroimaging Brain Health Profiles in Middle‐Aged Individuals Without Stroke or Dementia. Journal Of The American Heart Association 2023, 13: e031514. PMID: 38156552, PMCID: PMC10863828, DOI: 10.1161/jaha.123.031514.Peer-Reviewed Original ResearchConceptsSuboptimal sleep durationWhite matter hyperintensitiesMiddle-aged individualsLong sleep durationLarger WMH volumeSleep durationMiddle-aged adultsHealth profileWMH volumeAmerican Heart Association's LifeAsymptomatic middle-aged adultsWMH presenceVolume of WMHOptimal sleepSelf-reported sleep durationModifiable risk factorsWhite matter tractsProspective magnetic resonanceSimple 7Cardiovascular healthRisk factorsShort sleepMatter hyperintensitiesHigh riskEarly interventionAssociation of Poor Oral Health With Neuroimaging Markers of White Matter Injury in Middle-Aged Participants in the UK Biobank.
Rivier C, Renedo D, de Havenon A, Sunmonu N, Gill T, Payabvash S, Sheth K, Falcone G. Association of Poor Oral Health With Neuroimaging Markers of White Matter Injury in Middle-Aged Participants in the UK Biobank. Neurology 2023, 102: e208010. PMID: 38165331, PMCID: PMC10870735, DOI: 10.1212/wnl.0000000000208010.Peer-Reviewed Original ResearchConceptsPoor oral healthOral healthBrain healthRisk factorsNeuroimaging markerWMH volumeHealth profileMD scoreSelf-reported poor oral healthCross-sectional neuroimaging studiesFractional anisotropyWhite matter hyperintensity volumeModifiable risk factorsWhite matter injuryPresence of denturesMendelian randomizationMiddle-aged personsFA scoreMiddle-aged participantsLoose teethCardiovascular diseaseHyperintensity volumeBrain MRIModifiable processEarly interventionRates and reasons for hospital readmission after acute ischemic stroke in a US population-based cohort
Zhou L, Lansberg M, de Havenon A. Rates and reasons for hospital readmission after acute ischemic stroke in a US population-based cohort. PLOS ONE 2023, 18: e0289640. PMID: 37535655, PMCID: PMC10399731, DOI: 10.1371/journal.pone.0289640.Peer-Reviewed Original ResearchConceptsAcute ischemic strokeAcute renal failureHospital readmissionIschemic strokeReadmission ratesRenal failureRisk factorsUS population-based cohortUnplanned hospital readmissionNationwide Readmissions DatabaseRisk of readmissionVascular risk factorsHospital-level characteristicsPopulation-based cohortKaplan-Meyer analysisWorsened patient outcomesState administrative databasesModifiable comorbiditiesRecurrent strokeInitial hospitalizationDisadvantaged patientsLonger initial lengthMedicare insuranceAIS patientsSecondary strokeAssociation of Blood Pressure Variability With Death and Discharge Destination Among Critically Ill Patients With and Without Stroke
Stulberg E, Harris B, Zheutlin A, Delic A, Sheibani N, Anadani M, Yaghi S, Petersen N, de Havenon A. Association of Blood Pressure Variability With Death and Discharge Destination Among Critically Ill Patients With and Without Stroke. Neurology 2023, 101: e1145-e1157. PMID: 37487742, PMCID: PMC10513881, DOI: 10.1212/wnl.0000000000207599.Peer-Reviewed Original ResearchConceptsAverage real variabilityNonstroke patientsDischarge destinationHospital deathIschemic strokeIll patientsIllness severityWorse outcomesAdult intensive care unit patientsMinimum mean arterial pressureIntensive care unit patientsIntensive Care III databaseBlood pressure goalsAcute ischemic strokeMean arterial pressureBlood pressure variabilityCare unit patientsRisk of deathMedical Information MartUnit patientsArterial pressureIntracerebral hemorrhageSubarachnoid hemorrhageRisk factorsEffect modificationImprovement in the Prediction of Cerebrovascular Events With White Matter Hyperintensity
de Havenon A, Smith E, Sharma R, Falcone G, Bangad A, Prabhakaran S, Sheth K. Improvement in the Prediction of Cerebrovascular Events With White Matter Hyperintensity. Journal Of The American Heart Association 2023, 12: e029374. PMID: 37345754, PMCID: PMC10356061, DOI: 10.1161/jaha.123.029374.Peer-Reviewed Original ResearchConceptsWhite matter hyperintensitiesIncident strokePrimary outcomeHypertensive individualsMatter hyperintensitiesAtherosclerotic cardiovascular disease risk scoreCognitive impairmentCardiovascular disease risk scoreVascular risk factorsCurrent cigarette smokingDisease risk scoreMagnetic resonance imagingLogistic regression modelsRandomization armCerebrovascular eventsVascular riskCigarette smokingPrognostic informationRisk factorsPrognostic abilityRisk scoreCognitive declineResonance imagingDeLong testStrokePerioperative Acute Ischemic Stroke in Patients with Atrial Fibrillation
Shu L, Jiang W, Xiao H, Henninger N, Nguyen T, Siegler J, de Havenon A, Goldstein E, Mandel D, Rana M, Al‐Mufti F, Frontera J, Furie K, Yaghi S. Perioperative Acute Ischemic Stroke in Patients with Atrial Fibrillation. Annals Of Neurology 2023, 94: 321-329. PMID: 37183768, DOI: 10.1002/ana.26678.Peer-Reviewed Original ResearchConceptsAcute ischemic strokeAtrial fibrillationPerioperative acute ischemic strokeDiagnosis-related groupsRisk factors-VASc scoreActive cancerHigher CHA<sub>2</sub> DS<sub>2</sub> VASc score. TheElective proceduresInternational Classification of DiseasesRisk factors of acute ischemic strokeScoring systemIschemic strokeClassification of DiseasesNeurological surgeryDays of dischargeLogistic regression modelsNationwide Readmissions DatabaseElective surgical proceduresAnticoagulant therapyInternational ClassificationPeriprocedural periodRenal failureSurgical typeAdult patientsIdentification of White Matter Hyperintensities in Routine Emergency Department Visits Using Portable Bedside Magnetic Resonance Imaging
de Havenon A, Parasuram N, Crawford A, Mazurek M, Chavva I, Yadlapalli V, Iglesias J, Rosen M, Falcone G, Payabvash S, Sze G, Sharma R, Schiff S, Safdar B, Wira C, Kimberly W, Sheth K. Identification of White Matter Hyperintensities in Routine Emergency Department Visits Using Portable Bedside Magnetic Resonance Imaging. Journal Of The American Heart Association 2023, 12: e029242. PMID: 37218590, PMCID: PMC10381997, DOI: 10.1161/jaha.122.029242.Peer-Reviewed Original ResearchConceptsWhite matter hyperintensitiesMagnetic resonance imagingSevere white matter hyperintensitiesConventional magnetic resonance imagingResonance imagingRetrospective cohortEmergency departmentMatter hyperintensitiesVascular risk factorsProspective observational studyVascular cognitive impairmentTesla magnetic resonance imagingArea Deprivation IndexProspective cohortAdult patientsAcute careRisk factorsCardiovascular diseaseObservational studyCognitive impairmentPatientsCare magnetic resonance imagingIntermodality agreementCohortDeprivation indexLarge Vessel Occlusion Stroke due to Intracranial Atherosclerotic Disease: Identification, Medical and Interventional Treatment, and Outcomes
de Havenon A, Zaidat O, Amin-Hanjani S, Nguyen T, Bangad A, Abbasi M, Anadani M, Almallouhi E, Chatterjee R, Mazighi M, Mistry E, Yaghi S, Derdeyn C, Hong K, Kvernland A, Leslie-Mazwi T, Al Kasab S. Large Vessel Occlusion Stroke due to Intracranial Atherosclerotic Disease: Identification, Medical and Interventional Treatment, and Outcomes. Stroke 2023, 54: 1695-1705. PMID: 36938708, PMCID: PMC10202848, DOI: 10.1161/strokeaha.122.040008.Peer-Reviewed Original ResearchConceptsLarge vessel occlusion strokeIntracranial atherosclerotic diseaseEndovascular thrombectomyAtherosclerotic diseaseOcclusion strokeFunctional outcome benefitsVascular risk factorsAdjunctive medicationsMedical managementPatient factorsInterventional treatmentOutcome benefitsRisk factorsObservational studyEarly identificationTreatment planningThrombectomyUnique considerationsPatientsStrokeLVODiseaseRevascularizationMedicationsReviewSecondary Ischemic Stroke Prevention
Bangad A, Abbasi M, de Havenon A. Secondary Ischemic Stroke Prevention. Neurotherapeutics 2023, 20: 721-731. PMID: 36877331, PMCID: PMC10275832, DOI: 10.1007/s13311-023-01352-w.Peer-Reviewed Original ResearchConceptsSecondary ischemic stroke preventionIschemic stroke preventionRecurrent ischemic strokeStroke preventionIschemic strokeRisk factorsMajor public health concernSecondary stroke preventionLifestyle risk factorsVascular risk factorsRecurrent stroke riskAvailability of treatmentPublic health concernHealth care systemAHA guidelinesStroke riskSurgical treatmentHealth burdenPatient burdenFirst strokeStrokeHealth concernCare systemPreventionTreatment
2022
Association Between Hypertensive Disorders of Pregnancy and Dementia: a Systematic Review and Meta-Analysis
Schliep K, Mclean H, Yan B, Qeadan F, Theilen L, de Havenon A, Majersik J, Østbye T, Sharma S, Varner M. Association Between Hypertensive Disorders of Pregnancy and Dementia: a Systematic Review and Meta-Analysis. Hypertension 2022, 80: 257-267. PMID: 36345823, PMCID: PMC9851987, DOI: 10.1161/hypertensionaha.122.19399.Peer-Reviewed Original ResearchConceptsTypes of HDPCause dementiaVascular dementiaDementia subtypesHypertensive disordersRisk factorsObservational studyHigh riskVascular underpinningsPreeclampsia/eclampsiaImportant risk factorOnline electronic databasesGestational hypertensionHDP subtypesCohort studyUnspecified dementiaPooled analysisMaternal historyCardiovascular diseaseLater dementiaPrimary analysisElectronic databasesAlzheimer's diseaseMeta-AnalysisSystematic reviewOutcome Prediction in Cerebral Venous Thrombosis: The IN-REvASC Score
Klein P, Shu L, Nguyen TN, Siegler JE, Omran SS, Simpkins AN, Heldner M, de Havenon A, Aparicio HJ, Abdalkader M, Psychogios M, Vedovati MC, Paciaroni M, von Martial R, Liebeskind DS, de Sousa D, Coutinho JM, Yaghi S, Group F. Outcome Prediction in Cerebral Venous Thrombosis: The IN-REvASC Score. Journal Of Stroke 2022, 24: 404-416. PMID: 36221944, PMCID: PMC9561213, DOI: 10.5853/jos.2022.01606.Peer-Reviewed Original ResearchCerebral venous thrombosisPoor neurological outcomePoor outcomeNeurological outcomeVenous thrombosisPrognostic scoreRisk factorsInternational multicenter retrospective studyMulticenter retrospective studyMultivariable logistic regressionFuture clinical trialsActive cancerHigher NIHSSConsecutive patientsMedian ageMultivariable analysisRetrospective studyMRS 3Black raceRadiographic characteristicsClinical trialsPrognostic accuracyHigh riskPatientsClinical decision