2024
Blood Pressure and Cognitive Function in Older Adults
Littig L, Sheth K, Brickman A, Mistry E, de Havenon A. Blood Pressure and Cognitive Function in Older Adults. Clinics In Geriatric Medicine 2024, 40: 597-613. DOI: 10.1016/j.cger.2024.04.003.Peer-Reviewed Original ResearchSocioeconomic 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 minoritiesBrain 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 adultsFever Prevention in Patients With Acute Vascular Brain Injury
Greer D, Helbok R, Badjatia N, Ko S, Guanci M, Sheth K. Fever Prevention in Patients With Acute Vascular Brain Injury. JAMA 2024, 332 PMID: 39320879, PMCID: PMC11425189, DOI: 10.1001/jama.2024.14745.Peer-Reviewed Original ResearchVascular brain injuryStandard care groupCare groupMajor adverse eventsPrimary outcomeStandard care patientsBlinded outcome assessmentIntensive care unit dischargeFunctional outcomesAdverse eventsBrain injuryFever preventionFever burdenPrincipal secondary end pointBetween-group differencesOpen-label randomized clinical trialPrevention groupFunctional recoveryPrincipal secondary outcomeCare patientsAssociated with worse outcomesMain OutcomesImpact functional outcomesSecondary end pointsTemperature management deviceNanotechnology approaches to drug delivery for the treatment of ischemic stroke
Peng B, Mohammed F, Tang X, Liu J, Sheth K, Zhou J. Nanotechnology approaches to drug delivery for the treatment of ischemic stroke. Bioactive Materials 2024, 43: 145-161. PMID: 39386225, PMCID: PMC11462157, DOI: 10.1016/j.bioactmat.2024.09.016.Peer-Reviewed Original ResearchBlood-brain barrierClinical translationClinical trialsFDA-approved pharmacotherapiesReview therapeutic agentsIschemic strokeTherapeutic agentsEffective treatment optionDrug deliveryTreatment of ischemic strokePotential clinical translationGlobal public health concernImprove delivery efficiencyTreatment optionsTreatment strategiesIschemic brainPublic health concernStroke pharmacotherapyEngineered nanoparticlesStroke treatment strategiesDelivery efficiencyNanotechnological approachesDrugPharmacotherapyStrokeWhite 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 PMID: 39229896, 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 healthTertileRiskImpairmentImprovement in Cranial Nerve Palsies Following Treatment of Intracranial Aneurysms with Flow Diverters: Institutional Outcomes, Systematic Review and Study-Level Meta-Analysis
Sujijantarat N, Antonios J, Renedo D, Koo A, Haynes J, Fathima B, Jiang J, Hengartner A, Shekhar A, Amllay A, Nowicki K, Hebert R, Gilmore E, Sheth K, King J, Matouk C. Improvement in Cranial Nerve Palsies Following Treatment of Intracranial Aneurysms with Flow Diverters: Institutional Outcomes, Systematic Review and Study-Level Meta-Analysis. Clinical Neurology And Neurosurgery 2024, 108555. DOI: 10.1016/j.clineuro.2024.108555.Peer-Reviewed Original ResearchStudy-level meta-analysisRate of improvementCN deficitsMeta-analysisIntracranial aneurysmsCN palsySystematic reviewFactors associated with recoveryPooled rateRandom-effects meta-analysisCranial nervesManual citation searchingEffects meta-analysisRate of clinical improvementCranial nerve palsyMechanism of injuryIncreased rate of improvementFlow diversionRare presenting symptomSymptomatic intracranial aneurysmsTreatment of intracranial aneurysmsCitation searchingPalsyNerve palsyRetrospective reviewInterdisciplinary Engagement In Neurocardiology: A Key Opportunity.
Lusk J, Mac Grory B, Sheth K, Bhatt D. Interdisciplinary Engagement In Neurocardiology: A Key Opportunity. Journal Of The American Heart Association 2024, 13: e034804. PMID: 39190594, DOI: 10.1161/jaha.124.034804.Peer-Reviewed Original ResearchSex Differences in Case-Fatality Rates of Stroke—Reply
Renedo D, Sheth K. Sex Differences in Case-Fatality Rates of Stroke—Reply. JAMA Neurology 2024, 81 PMID: 39158922, DOI: 10.1001/jamaneurol.2024.2599.Peer-Reviewed Original ResearchDeep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke
Sommer J, Dierksen F, Zeevi T, Tran A, Avery E, Mak A, Malhotra A, Matouk C, Falcone G, Torres-Lopez V, Aneja S, Duncan J, Sansing L, Sheth K, Payabvash S. Deep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke. Frontiers In Artificial Intelligence 2024, 7: 1369702. PMID: 39149161, PMCID: PMC11324606, DOI: 10.3389/frai.2024.1369702.Peer-Reviewed Original ResearchEnd-to-endComputed tomography angiographyLarge vessel occlusionConvolutional neural networkDeep learning pipelineTrain separate modelsLogistic regression modelsResNet-50Deep learningAdmission computed tomography angiographyNeural networkLearning pipelineAdmission CT angiographyPreprocessing stepDiagnosis of large vessel occlusionsLarge vessel occlusion strokeReceiver operating characteristic areaEnsemble modelAutomated modelPre-existing morbidityCT angiographyReperfusion successNeurological examCross-validationOcclusion strokeCorrelations of Socioeconomic and Clinical Determinants with United States County‐Level Stroke Prevalence
Stulberg E, Lisabeth L, Schneider A, Skolarus L, Kershaw K, Zheutlin A, Harris B, Sarpong D, Wong K, Sheth K, de Havenon A. Correlations of Socioeconomic and Clinical Determinants with United States County‐Level Stroke Prevalence. Annals Of Neurology 2024, 96: 739-744. PMID: 39056317, DOI: 10.1002/ana.27039.Peer-Reviewed Original ResearchSocioeconomic statusStroke prevalenceCounty-level socioeconomic statusSocioeconomic status measuresHealth care accessCenters for Disease Control and PreventionRisk factor measurementsDisease Control and PreventionPrevalence of adultsFederal poverty levelControl and PreventionCare accessStroke metricsStroke riskPoverty levelObservational researchPrevalenceClinical determinantsCommunity estimatesEcological studiesStrokeFactor measurementsHealthInterventionAdultsTemperature Control Parameters Are Important: Earlier Preinduction Is Associated With Improved Outcomes Following Out-of-Hospital Cardiac Arrest
Beekman R, Kim N, Nguyen C, McGinniss G, Deng Y, Kitlen E, Garcia G, Wira C, Khosla A, Johnson J, Miller P, Perman S, Sheth K, Greer D, Gilmore E. Temperature Control Parameters Are Important: Earlier Preinduction Is Associated With Improved Outcomes Following Out-of-Hospital Cardiac Arrest. Annals Of Emergency Medicine 2024 PMID: 39033449, DOI: 10.1016/j.annemergmed.2024.06.007.Peer-Reviewed Original ResearchOut-of-hospital cardiac arrestNeurological outcomeDevice cohortCardiac arrestOut-of-hospital cardiac arrest patientsConsecutive out-of-hospital cardiac arrestPreinduction timeInterquartile rangeAssociated with improved outcomesCardiac arrest patientsProportion of patientsMultivariate logistic regression modelInverse probability of treatmentDevice timeInverse probability treatment weightsProbability of treatmentProspective trialsOHCA patientsArrest patientsClinical outcomesLogistic regression modelsCenter studyEarly initiationSecondary outcomesTreatment weightingDisability 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 deathDisabilityAPOE epsilon variants and composite risk of dementia, disability, and death in the health and retirement study
Clocchiatti‐Tuozzo S, Szejko N, Rivier C, Renedo D, Huo S, Sheth K, Gill T, Falcone G. APOE epsilon variants and composite risk of dementia, disability, and death in the health and retirement study. Journal Of The American Geriatrics Society 2024 PMID: 38946154, DOI: 10.1111/jgs.19043.Peer-Reviewed Original ResearchRisk of dementiaOutcome of dementiaAssociated with lower riskOlder adultsRetirement StudySecondary analysisEffects of tested interventionsHealth and Retirement StudyClinical trials of older adultsApo E4Composite outcomePrimary analysisHigh riskLow riskCox proportional hazards modelsProportional hazards modelMultivariate Cox proportional hazards modelDementiaAPOE genotypeClinical trialsHazards modelDisabilityParticipantsFunctional outcomesHeart diseasePreface
Mainali S, Sheth K. Preface. Seminars In Neurology 2024, 44: 234-235. PMID: 38897211, DOI: 10.1055/s-0044-1787143.Peer-Reviewed Original ResearchDeep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan.
Chen Y, Rivier C, Mora S, Torres Lopez V, Payabvash S, Sheth K, Harloff A, Falcone G, Rosand J, Mayerhofer E, Anderson C. Deep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan. European Stroke Journal 2024, 23969873241260154. PMID: 38880882, DOI: 10.1177/23969873241260154.Peer-Reviewed Original ResearchIntracerebral hemorrhage scoreNon-contrast CT scanIntracerebral hemorrhageCT scanFUNC scoreIntracerebral hemorrhage patientsNon-contrast CTFunctional impairmentSevere disabilityDependent living statusLong-term functional impairmentC-indexPrognostic toolFunctional outcomesTreatment decisionsAcute settingClinical implementationRehabilitation strategiesDependent livingPatientsPredicting functional impairmentLong-term care needsPlanning of patient careDeep learning modelsHemorrhageAutomated detection of early signs of irreversible ischemic change on CTA source images in patients with large vessel occlusion
Mak A, Matouk C, Avery E, Behland J, Haider S, Frey D, Madai V, Vajkoczy P, Griessenauer C, Zand R, Hendrix P, Abedi V, Sanelli P, Falcone G, Petersen N, Sansing L, Sheth K, Payabvash S, Malhotra A. Automated detection of early signs of irreversible ischemic change on CTA source images in patients with large vessel occlusion. PLOS ONE 2024, 19: e0304962. PMID: 38870240, PMCID: PMC11175522, DOI: 10.1371/journal.pone.0304962.Peer-Reviewed Original ResearchConceptsDiffusion-weighted imagingLarge vessel occlusionIrreversible ischemic changesPoor functional outcomeFunctional outcomesIschemic changesInfarct volumeAlberta Stroke Program Early CT ScorePredicting poor functional outcomeVessel occlusionFollow-up diffusion-weighted imagingAnterior circulation LVO strokeCTA source imagesReceiver operating characteristic curveExpert human readersPredicting final infarctionASPECTS regionsAdmission CTANon-inferior performanceBaseline CTACT scoreFinal infarctEndovascular therapyHU attenuationValidation cohortQuantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI
Laso P, Cerri S, Sorby-Adams A, Guo J, Mateen F, Goebl P, Wu J, Liu P, Li H, Young S, Billot B, Puonti O, Sze G, Payabavash S, DeHavenon A, Sheth K, Rosen M, Kirsch J, Strisciuglio N, Wolterink J, Eshaghi A, Barkhof F, Kimberly W, Iglesias J. Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI. 2024, 00: 1-5. DOI: 10.1109/isbi56570.2024.10635502.Peer-Reviewed Original ResearchMapping the Ecological Terrain of Stroke Prehospital Delay: A Nationwide Registry Study
Dhand A, Reeves M, Mu Y, Rosner B, Rothfeld-Wehrwein Z, Nieves A, Dhongade V, Jarman M, Bergmark R, Semco R, Ader J, Marshall B, Goedel W, Fonarow G, Smith E, Saver J, Schwamm L, Sheth K. Mapping the Ecological Terrain of Stroke Prehospital Delay: A Nationwide Registry Study. Stroke 2024, 55: 1507-1516. PMID: 38787926, PMCID: PMC11299104, DOI: 10.1161/strokeaha.123.045521.Peer-Reviewed Original ResearchConceptsSocial Vulnerability IndexPrehospital delayHospital arrivalZIP Code Tabulation AreasEmergency medical servicesCommunity-level social vulnerabilityGuidelines-Stroke registryCommunity socioeconomic statusCommunity-level factorsPatient-level factorsNationwide registry studyAmerican Heart AssociationSocial vulnerabilityCox proportional hazards modelsSocially vulnerable areasAssociated with delaySocial determinantsProportional hazards modelAcute stroke treatmentGeospatial mappingSocioeconomic statusMedical servicesIncreased social vulnerabilityPrimary exposureQuartile 3StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records
Lee H, Schwamm L, Sansing L, Kamel H, de Havenon A, Turner A, Sheth K, Krishnaswamy S, Brandt C, Zhao H, Krumholz H, Sharma R. StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records. Npj Digital Medicine 2024, 7: 130. PMID: 38760474, PMCID: PMC11101464, DOI: 10.1038/s41746-024-01120-w.Peer-Reviewed Original ResearchElectronic health recordsWeighted F1MIMIC-IIIClinical decision support systemsMulti-class classificationNatural language processingMIMIC-III datasetHealth recordsMachine learning classifiersDecision support systemArtificial intelligence toolsVascular neurologistsLearning classifiersBinary classificationCross-validation accuracyLanguage processingMeta-modelIntelligence toolsStroke prevention effortsAcute ischemic strokeStroke etiologySupport systemStroke etiology classificationClassification toolClassifier