2024
Portable, low-field magnetic resonance imaging for evaluation of Alzheimer’s disease
Sorby-Adams A, Guo J, Laso P, Kirsch J, Zabinska J, Garcia Guarniz A, Schaefer P, Payabvash S, de Havenon A, Rosen M, Sheth K, Gomez-Isla T, Iglesias J, Kimberly W. Portable, low-field magnetic resonance imaging for evaluation of Alzheimer’s disease. Nature Communications 2024, 15: 10488. PMID: 39622805, PMCID: PMC11612292, DOI: 10.1038/s41467-024-54972-x.Peer-Reviewed Original ResearchConceptsWhite matter hyperintensitiesMachine learning pipelineMild cognitive impairmentAlzheimer's diseaseWhite matter hyperintensities volumeLearning pipelineAssessment of patientsIncrease accessCognitive impairmentEvaluation of Alzheimer's diseaseDementiaLF-MRIPoint-of-care assessmentMagnetic resonance imagingHippocampal volumeResonance imagingImage qualityDiseaseReduce costsAnisotropic counterpartIncreasing availabilityManual segmentationLife's Essential 8 and Poor Brain Health Outcomes in Middle-Aged Adults
Clocchiatti-Tuozzo S, Rivier C, Renedo D, Huo S, Hawkes M, de Havenon A, Schwamm L, Sheth K, Gill T, Falcone G. Life's Essential 8 and Poor Brain Health Outcomes in Middle-Aged Adults. Neurology 2024, 103: e209990. PMID: 39442069, PMCID: PMC11498939, DOI: 10.1212/wnl.0000000000209990.Peer-Reviewed Original ResearchConceptsLife's Essential 8Poor cardiovascular healthCardiovascular healthBrain healthLife's Essential 8 scoreUnadjusted riskEssential 8Determinants of cardiovascular healthUK Biobank (UKBCardiovascular health profileModifiable cardiovascular risk factorsBrain health outcomesRisk factorsComposite outcomePublic health constructsPopulation studiesMiddle-aged adultsCox modelLate-life depressionCox proportional hazards modelsBrain health benefitsMultivariate Cox modelCardiovascular risk factorsFollow-up timeAoU participantsRecent trends in GLP-1 RA and SGLT2i use among people with type 2 diabetes and atherosclerotic cardiovascular disease in the USA
King A, Tan X, Dhopeshwarkar N, Bohn R, Dea K, Leonard C, de Havenon A. Recent trends in GLP-1 RA and SGLT2i use among people with type 2 diabetes and atherosclerotic cardiovascular disease in the USA. BMJ Open Diabetes Research & Care 2024, 12: e004431. PMID: 39366717, PMCID: PMC11459310, DOI: 10.1136/bmjdrc-2024-004431.Peer-Reviewed Original ResearchConceptsSodium-glucose cotransporter 2 inhibitorsGLP-1 RAsAtherosclerotic cardiovascular diseaseGLP-1Type 2 diabetesIncident useGlucagon-like peptide-1 receptor agonistsPeptide-1 receptor agonistsCardiovascular diseasePrevalence of atherosclerotic cardiovascular diseaseASCVD diagnosisProportion of patientsRetrospective observational studyNested cohort studyReceptor agonistsSGLT2i useAnalysis of cross-sectional dataSodium-glucoseCohort studyPatient numbersObservational studyPatientsPrevalent useCross-sectional dataT2DBrain Health Outcomes in Sexual and Gender Minority Groups: Results From the All of Us Research Program.
Huo S, Rivier C, Clocchiatti-Tuozzo S, Renedo D, Sunmonu N, de Havenon A, Sarpong D, Rosendale N, Sheth K, Falcone G. Brain Health Outcomes in Sexual and Gender Minority Groups: Results From the All of Us Research Program. Neurology 2024, 103: e209863. PMID: 39321407, DOI: 10.1212/wnl.0000000000209863.Peer-Reviewed Original ResearchConceptsBrain health outcomesSexual minoritiesGender minoritiesSGM groupHealth outcomesSGM personsLate-life depressionGender identitySexual orientationHigher odds of dementiaUS population-based studyElectronic health record dataOdds of dementiaHealth record dataGender minority groupsPopulation-based studyOdds of strokeCross-sectional studyMultivariate logistic regressionHealth disparitiesBaseline questionnaireNon-SGMSubgroups of genderTransgender womenUS adultsDisability and Recurrent Stroke Among Participants in Stroke Prevention Trials
de Havenon A, Viscoli C, Kleindorfer D, Sucharew H, Delic A, Becker C, Robinson D, Yaghi S, Li V, Lansberg M, Cramer S, Mistry E, Sarpong D, Kasner S, Kernan W, Sheth K. Disability and Recurrent Stroke Among Participants in Stroke Prevention Trials. JAMA Network Open 2024, 7: e2423677. PMID: 39028666, PMCID: PMC11259901, DOI: 10.1001/jamanetworkopen.2024.23677.Peer-Reviewed Original ResearchConceptsPrevention trialsPoststroke disabilityRecurrent stroke ratesRecurrent strokeCohort studyRate of recurrent strokeStroke Prevention TrialIncreased hazardInsulin Resistance InterventionSecondary prevention trialsBaseline disabilityAssociated with increased ratesStroke rateMain OutcomesFunctional statusResistance InterventionStudy baselineSecondary outcomesPrimary outcomeWorsening heart failureModified Rankin ScaleProfession's participationLong-term followVascular deathDisabilityPrediction of Large Vessel Occlusion Stroke Using Clinical Registries for Research.
de Havenon A, Ayodele I, Alhanti B, Mac Grory B, Xian Y, Fonarow G, Smith E, Worrall B. Prediction of Large Vessel Occlusion Stroke Using Clinical Registries for Research. Neurology 2024, 102: e209424. PMID: 38759133, PMCID: PMC11175650, DOI: 10.1212/wnl.0000000000209424.Peer-Reviewed Original ResearchConceptsLarge vessel occlusionNIH Stroke ScaleConsistent with previous studiesAdult acute ischemic stroke patientsCross-sectional cohort analysisAcute ischemic stroke patientsLarge vessel occlusion strokePosterior circulation strokeDiagnosis of ischemic strokeReceiver operating curveNeuroimagingGWTG-StrokeIschemic stroke patientsVascular neuroimagingAdult patientsAtrial fibrillationCirculation strokeCohort analysisClinical covariatesStroke patientsOcclusion strokeVessel occlusionPrevious studiesCut-pointsStroke ScaleSecondary Prevention in Patients With Stroke Versus Myocardial Infarction: Analysis of 2 National Cohorts
Rivier C, Acosta J, Leasure A, Forman R, Sharma R, de Havenon A, Spatz E, Inzucchi S, Kernan W, Falcone G, Sheth K. Secondary Prevention in Patients With Stroke Versus Myocardial Infarction: Analysis of 2 National Cohorts. Journal Of The American Heart Association 2024, 13: e033322. PMID: 38639369, PMCID: PMC11179946, DOI: 10.1161/jaha.123.033322.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntihypertensive AgentsBlood PressureCross-Sectional StudiesFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMiddle AgedMyocardial InfarctionPlatelet Aggregation InhibitorsPractice Guidelines as TopicRisk AssessmentRisk FactorsSecondary PreventionStrokeUnited KingdomUnited StatesConceptsMyocardial infarctionPrevention scoreSecondary preventionImplementation of preventive therapyNational cohortUK BiobankAntiplatelet therapy useGuideline-directed therapyPrevention profilesBlood pressure controlAdherence to guideline-directed therapyLow-density lipoprotein controlNeighborhood deprivation levelHistory of strokeVascular risk profileStatin useAntiplatelet useTherapy usePreventive therapyComparison to participantsPrevention criteriaCross-sectional analysisBlood pressurePatientsPressure controlExternal validation of the SI2NCAL2C score for outcomes following cerebral venous thrombosis
Klein P, Shu L, Lindgren E, de Winter M, Siegler J, Simpkins A, Omran S, Heldner M, de Havenon A, Abdalkader M, Al Kasab S, Stretz C, Wu T, Wilson D, Asad S, Almallouhi E, Frontera J, Kuohn L, Rothstein A, Bakradze E, Henninger N, Zubair A, Sharma R, Kerrigan D, Aziz Y, Mistry E, van Kammen M, Tatlisumak T, Krzywicka K, Aguiar de Sousa D, Jood K, Field T, Yaghi S, Coutinho J, Nguyen T. External validation of the SI2NCAL2C score for outcomes following cerebral venous thrombosis. Journal Of Stroke And Cerebrovascular Diseases 2024, 33: 107720. PMID: 38614162, DOI: 10.1016/j.jstrokecerebrovasdis.2024.107720.Peer-Reviewed Original ResearchConceptsCerebral venous thrombosisArea under the receiver operating characteristic curvePoor outcomeVenous thrombosisCentral nervous system infectionInternational retrospective studyNervous system infectionExternal validation cohortFocal neurological deficitsReceiver operating characteristic curvePoor outcome dataLevels of hemoglobinLack of follow-upPoorer outcome scoresConsecutive patientsClinical presentationRetrospective studyValidation cohortIntracerebral hemorrhageNeurological deficitsFollow-upOutcome scoresSystemic infectionLevels of glucoseInternational cohortBurden of Neurologic Health Care and Incident Neurologic Diagnoses in the Year After COVID-19 or Influenza Hospitalization.
de Havenon A, Callaghan B, Xu Y, Connor M, Hill C, Ney J, Esper G. Burden of Neurologic Health Care and Incident Neurologic Diagnoses in the Year After COVID-19 or Influenza Hospitalization. Neurology 2024, 102: e209248. PMID: 38507675, PMCID: PMC11383855, DOI: 10.1212/wnl.0000000000209248.Peer-Reviewed Original ResearchConceptsHealth care encountersNeurological diagnosisCare encountersHealth careCollection of electronic health recordsHospital-based careHealth Research NetworkElectronic health recordsEmergency department visitsCohort of adultsYears of follow-upGlobal health research networkPatient-level dataElixhauser comorbidity scorePropensity score matchingHealth recordsMovement disordersDepartment visitsEMR dataPatient's residenceMarital statusAnalysis of patient-level dataNearest neighbor propensity score matchingIncident eventsHazard ratioAPOE ε4 and Intracerebral Hemorrhage in Patients With Brain Arteriovenous Malformation
Renedo D, Rivier C, Koo A, Sujijantarat N, Clocchiatti-Tuozzo S, Wu K, Torres-Lopez V, Huo S, Gunel M, de Havenon A, Sheth K, Matouk C, Falcone G. APOE ε4 and Intracerebral Hemorrhage in Patients With Brain Arteriovenous Malformation. JAMA Network Open 2024, 7: e2355368. PMID: 38363572, PMCID: PMC10873768, DOI: 10.1001/jamanetworkopen.2023.55368.Peer-Reviewed Original ResearchConceptsApolipoprotein E e4Participants of European ancestryRisk of intracerebral hemorrhageHigh risk of intracerebral hemorrhageCross-sectional studyUK BiobankEuropean ancestryHigh riskUs Research ProgramUK Biobank participantsInternational Classification of DiseasesAssociated with higher risk of ICHCross-sectional study of patientsAPOE e4 statusClassification of DiseasesApolipoprotein ENinth Revision and Tenth RevisionAssociated with higher riskIndividual-level dataMultivariate logistic regressionIntracerebral hemorrhage riskBrain arteriovenous malformationsIntracerebral hemorrhageBiobank participantsTenth RevisionGenome-Wide Association Studies of 3 Distinct Recovery Phenotypes in Mild Ischemic Stroke
Aldridge C, Braun R, Lohse K, de Havenon A, Cole J, Cramer S, Lindgren A, Keene K, Hsu F, Worrall B. Genome-Wide Association Studies of 3 Distinct Recovery Phenotypes in Mild Ischemic Stroke. Neurology 2024, 102: e208011. PMID: 38181310, PMCID: PMC11023036, DOI: 10.1212/wnl.0000000000208011.Peer-Reviewed Original Research
2023
Disability Status and Secondary Prevention Among Survivors of Stroke: A Cross‐Sectional Analysis of the 2011 to 2018 National Health and Nutrition Examination Survey
Zhou T, de Havenon A, Sheth K, Ross J. Disability Status and Secondary Prevention Among Survivors of Stroke: A Cross‐Sectional Analysis of the 2011 to 2018 National Health and Nutrition Examination Survey. Journal Of The American Heart Association 2023, 12: e030869. PMID: 38014672, PMCID: PMC10727323, DOI: 10.1161/jaha.123.030869.Peer-Reviewed Original ResearchImprovement 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 indexRecurrence risk in symptomatic intracranial stenosis treated medically in the real world
Yaghi S, Shu L, Goldstein E, Chang A, Kala N, Stretz C, Burton T, Perelstein E, Furie K, Jayaraman M, Torabi R, Moldovan K, de Havenon A, Khatri P, Gebregziabher M, Liebeskind D, Prabhakaran S. Recurrence risk in symptomatic intracranial stenosis treated medically in the real world. Journal Of Stroke And Cerebrovascular Diseases 2023, 32: 107086. PMID: 37030126, DOI: 10.1016/j.jstrokecerebrovasdis.2023.107086.Peer-Reviewed Original ResearchConceptsIntracranial atherosclerotic stenosisSymptomatic intracranial atherosclerotic stenosisClinical trialsRecurrence riskRecurrent strokeInclusion criteriaReal-world settingMaximal medical treatmentRecurrent stroke rateDual antiplatelet therapyAcute ischemic strokeReal-world cohortSymptomatic intracranial stenosisPharmacological treatment strategiesCox regression modelMeeting inclusion criteriaLow event ratesAntiplatelet therapyStroke RegistryIschemic eventsIschemic strokeWorld CohortHospitalized patientsEarly recurrenceIntracranial stenosisAssociation Between Hospital-Documented Atrial Fibrillation and Central Retinal Artery Occlusion
Lusk J, Song A, Unnithan S, Al-Khalidi H, Delic A, de Havenon A, Biousse V, Schrag M, Poli S, Piccini J, Xian Y, O’Brien E, Mac Grory B. Association Between Hospital-Documented Atrial Fibrillation and Central Retinal Artery Occlusion. Stroke 2023, 54: 983-991. PMID: 36729390, PMCID: PMC11173326, DOI: 10.1161/strokeaha.122.042292.Peer-Reviewed Original ResearchConceptsCentral retinal artery occlusionRetinal artery occlusionCardiovascular comorbiditiesArtery occlusionAtrial fibrillationInverse associationNon-Hispanic white race/ethnicityState Emergency Department DatabasesWhite race/ethnicityPrespecified sensitivity analysisPrimary end pointRisk of strokeCause-specific hazards modelEmergency Department DatabasesEmergency department settingPrimary risk factorState Inpatient DatabasesPositive control outcomesRace/ethnicityMedian followCohort studyCumulative incidenceIschemic strokeAF statusInpatient Database
2022
Borderzone infarction and recurrent stroke in intracranial atherosclerosis
Kvernland A, Torres J, Raz E, Nossek E, de Havenon A, Gebregziabher M, Khatri P, Prabhakaran S, Liebeskind D, Yaghi S. Borderzone infarction and recurrent stroke in intracranial atherosclerosis. Journal Of Stroke And Cerebrovascular Diseases 2022, 32: 106897. PMID: 36402094, DOI: 10.1016/j.jstrokecerebrovasdis.2022.106897.Peer-Reviewed Original ResearchConceptsRecurrent cerebrovascular eventsIntracranial stenosisBorderzone infarctsInfarct patternsIschemic strokeBorderzone infarctionRetrospective single-center studyAcute ischemic strokeRecurrent ischemic strokeSingle-center studySymptomatic intracranial stenosisHigh-risk cohortBinary logistic regression analysisDistal blood flowAlternative treatment strategiesLogistic regression analysisLogistic regression modelsCerebrovascular eventsRecurrent strokeIntracranial atherosclerosisPrimary outcomeCenter studyMean ageSurrogate markerTreatment strategiesBaseline Serum Biomarkers of Inflammation and Subsequent Visit-to-Visit Blood Pressure Variability: A Post Hoc Analysis of MESA
Wong KH, Muddasani V, Peterson C, Sheibani N, Arkin C, Cheong I, Majersik JJ, Biffi A, Petersen N, Falcone GJ, Sansing LH, de Havenon AH. Baseline Serum Biomarkers of Inflammation and Subsequent Visit-to-Visit Blood Pressure Variability: A Post Hoc Analysis of MESA. American Journal Of Hypertension 2022, 36: 144-147. PMID: 36315490, PMCID: PMC11484580, DOI: 10.1093/ajh/hpac122.Peer-Reviewed Original ResearchConceptsBlood pressure variabilityHigh blood pressure variabilitySerum inflammatory markersPlasmin-antiplasmin complexC-reactive proteinInterleukin-6Inflammatory markersBlood pressureStudy visitPressure variabilityBaseline serum IL-6Visit blood pressure variabilityLipid-lowering medicationsMean blood pressureSerum IL-6Markers of inflammationSystolic blood pressureBaseline study visitBody mass indexOnly IL-6Major vascular diseasesMulti-Ethnic StudyBaseline serum biomarkersPatient age categoryPost Hoc AnalysisPredictors of Recurrent Venous Thrombosis After Cerebral Venous Thrombosis
Shu L, Bakradze E, Omran SS, Giles J, Amar J, Henninger N, Elnazeir M, Liberman A, Moncrieffe K, Rotblat J, Sharma R, Cheng Y, Zubair AS, Simpkins A, Li G, Kung J, Perez D, Heldner MR, Scutelnic A, von Martial R, Siepen B, Rothstein A, Khazaal O, Do D, Al Kasab S, Rahman LA, Mistry EA, Kerrigan D, Lafever H, Nguyen TN, Klein P, Aparicio HJ, Frontera JA, Kuohn L, Agarwal S, Stretz C, Kala N, ElJamal S, Chang A, Cutting S, Indraswari F, de Havenon A, Muddasani V, Wu T, Wilson D, Nouh A, Asad D, Qureshi A, Moore J, Khatri P, Aziz Y, Casteigne B, Khan M, Cheng Y, Grory BM, Weiss M, Ryan D, Vedovati MC, Paciaroni M, Siegler J, Kamen S, Yu S, Guerrero CL, Atallah E, De Marchis GM, Brehm A, Dittrich T, Psychogios M, Alvarado-Dyer R, Kass-Hout T, Prabhakaran S, Honda T, Liebeskind D, Furie K, Yaghi S. Predictors of Recurrent Venous Thrombosis After Cerebral Venous Thrombosis. Neurology 2022, 99: e2368-e2377. PMID: 36123126, PMCID: PMC9687409, DOI: 10.1212/wnl.0000000000201122.Peer-Reviewed Original ResearchConceptsCerebral venous thrombosisRecurrent venous thrombosisHistory of VTEVenous thrombosisVenous thromboembolismAntiphospholipid antibodiesBlack raceDiagnosis of CVTPositive antiphospholipid antibodiesRecurrent venous thrombosesAntiphospholipid antibody syndromeRecurrent venous thromboembolismCox regression analysisRisk of recurrenceMulticenter international studyAntibody syndromeOral anticoagulationVenous thrombosesConsecutive patientsRare causeMean ageTreatment strategiesThrombosisPatientsSecondary analysis