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 segmentationFever Prevention in Patients With Acute Vascular Brain Injury
Greer D, Helbok R, Badjatia N, Ko S, Guanci M, Sheth K, Diringer M, Mehta Y, Cava L, Hinduja A, Lele A, Sarwal A, Kulik T, Keller E, Smith G, Dennesen P, Dimitriadis K, Schonenberger S, Gunther A, Meisel A, Wolf S, Kollmar R, Barlinn K, Jeon S, Han M, Hong J, Lee R, Falcone G, Dashti S, Busl K, Ermak D, Berkeley J, Amory C, Swor R, DeGeorgia M, Green-LaRoche D, Thompson B, Hatton K, Sung G, Mehta C, Zurasky J, Da Silva I, James M, Aysenne A, Cervantes A, Devlin T, Chang I, Morris N, Venkatasubramanian C, Mushlschlegel S, Zachariah J, Chaudry F, Claassen J, Dangayach N, Choi H, Sadaka F, Miller C. Fever Prevention in Patients With Acute Vascular Brain Injury. JAMA 2024, 332: 1525-1534. 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 devicePolygenic Risk of Epilepsy and Poststroke Epilepsy
Clocchiatti-Tuozzo S, Rivier C, Misra S, Zelano J, Mazumder R, Sansing L, de Havenon A, Hirsch L, Liebeskind D, Gilmore E, Sheth K, Kim J, Worrall B, Falcone G, Mishra N. Polygenic Risk of Epilepsy and Poststroke Epilepsy. Stroke 2024, 55: 2835-2843. PMID: 39502073, DOI: 10.1161/strokeaha.124.047459.Peer-Reviewed Original ResearchParticipants of European ancestryRisk of poststroke epilepsyPolygenic riskPoststroke epilepsyEuropean ancestryGenome-wide association study meta-analysisPRS decileCase-control genetic association studyGenetic risk lociLowest decilePolygenic risk scoresGenetic association studiesMultivariate logistic regression modelStudy meta-analysisMultivariate logistic regression resultsHistory of strokeLogistic regression modelsRisk lociAssociation studiesStroke survivorsUK BiobankGenetic informationGenetic ancestryLogistic regression resultsGenetic variantsSex Modifies the Severity and Outcome of Spontaneous Intracerebral Hemorrhage
Rivier C, Renedo D, Marini S, Magid‐Bernstein J, de Havenon A, Rosand J, Hanley D, Ziai W, Mayer S, Woo D, Sansing L, Sheth K, Anderson C, Falcone G. Sex Modifies the Severity and Outcome of Spontaneous Intracerebral Hemorrhage. Annals Of Neurology 2024 PMID: 39499118, DOI: 10.1002/ana.27123.Peer-Reviewed Original ResearchRisk of hematoma expansionHighest risk of hematoma expansionRisk of poor outcomesIntracerebral hemorrhageHematoma expansionHigh riskMale sexPoor outcomeOutcome of spontaneous intracerebral hemorrhageClinical characteristics of patientsStudies of intracerebral hemorrhageNon-traumatic intracerebral hemorrhageIndividual patient data meta-analysisPatient data meta-analysisSpontaneous intracerebral hemorrhageSingle-center studyIntracerebral hemorrhage patientsHigh risk of expansionCharacteristics of patientsIntracerebral hemorrhage severityPoor functional outcomeRandomized clinical trialsData meta-analysisHemorrhage volumeClinical characteristicsMobile Stroke Unit Management in Patients With Acute Ischemic Stroke Eligible for Intravenous Thrombolysis
Mac Grory B, Sun J, Alhanti B, Lusk J, Li F, Adeoye O, Furie K, Hasan D, Messe S, Sheth K, Schwamm L, Smith E, Bhatt D, Fonarow G, Saver J, Xian Y, Grotta J. Mobile Stroke Unit Management in Patients With Acute Ischemic Stroke Eligible for Intravenous Thrombolysis. JAMA Neurology 2024, 81 PMID: 39466286, PMCID: PMC11581552, DOI: 10.1001/jamaneurol.2024.3659.Peer-Reviewed Original ResearchEmergency medical servicesEmergency medical service managementMobile stroke unitPrehospital managementSymptomatic intracranial hemorrhageHospital dischargeGlobal disabilityIn-hospital mortalityEfficacy end pointUtility-weighted modified Rankin scaleStroke unit managementAcute ischemic strokeIschemic strokePrimary analytic cohortDiagnosis of ischemic strokeIntravenous thrombolysisAmerican Heart AssociationEnd pointsGuidelines-StrokeUW-mRSSecondary efficacy end pointsMain OutcomesMedical servicesStroke unitAmbulation statusLife'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 participantsFever and Therapeutic Hypothermia
Subramaniam T, Parasram M, Barnes E, Picard J, Sheth K. Fever and Therapeutic Hypothermia. 2024, 301-313. DOI: 10.1007/978-3-031-62220-5_19.Peer-Reviewed Original ResearchTargeted temperature managementTherapeutic hypothermiaInduction of hypothermiaPost-cardiac arrestNeurological diseasesCritical care settingManagement of feverNeurocritical care unitNeurologically injured patientsCare settingsSide effectsCare unitInjured brainFeverTemperature managementTherapeutic purposesPatientsHypothermiaDoor-in-Door-Out Times at Referring Hospitals and Outcomes of Hemorrhagic Stroke
Royan R, Ayodele I, Stamm B, Alhanti B, Sheth K, Pruitt P, Mac Grory B, Meurer W, Prabhakaran S. Door-in-Door-Out Times at Referring Hospitals and Outcomes of Hemorrhagic Stroke. Annals Of Emergency Medicine 2024 PMID: 39453306, DOI: 10.1016/j.annemergmed.2024.09.002.Peer-Reviewed Original ResearchDoor-in-door-out timeDoor-in-door-outAssociated with greater oddsEmergency departmentHemorrhagic strokeGreater oddsUnadjusted analysisGuidelines-Stroke participating hospitalsInhospital mortalityCare of patientsObservational cohort studyIntracerebral hemorrhageDIDO timeReceiving hospitalInterhospital transferIndependent ambulationRegistry dataSubarachnoid hemorrhageTime of transferCohort studySecondary outcomesEffect sizePrimary outcomeUS registry dataOddsTwenty Years of Sustained Improvement in Quality of Care and Outcomes for Patients Hospitalized With Stroke or Transient Ischemic Attack: Data From The Get With The Guidelines-Stroke Program
Xian Y, Li S, Jiang T, Beon C, Poudel R, Thomas K, Reeves M, Smith E, Saver J, Sheth K, Messé S, Schwamm L, Fonarow G. Twenty Years of Sustained Improvement in Quality of Care and Outcomes for Patients Hospitalized With Stroke or Transient Ischemic Attack: Data From The Get With The Guidelines-Stroke Program. Stroke 2024, 55: 2599-2610. PMID: 39429153, PMCID: PMC11518659, DOI: 10.1161/strokeaha.124.048174.Peer-Reviewed Original ResearchConceptsGuidelines-Stroke programEvidence-based stroke careDoor-to-needle timeTransient ischemic attackGuidelines-Stroke hospitalsEvidence-based careQuality of careSmoking cessation counselingSustained improvementQuality improvement initiativesSkilled nursing facilityIndependence of patientsAcute ischemic strokeIschemic strokeRelevant to patientsIschemic attackDoor-to-puncture timeCessation counselingGuidelines-StrokeAssociated with sustained improvementStroke careDysphagia screeningNursing facilitiesHospital characteristicsImprovement initiativesThe human claustrum tracks slow waves during sleep
Lamsam L, Gu B, Liang M, Sun G, Khan K, Sheth K, Hirsch L, Pittenger C, Kaye A, Krystal J, Damisah E. The human claustrum tracks slow waves during sleep. Nature Communications 2024, 15: 8964. PMID: 39419999, PMCID: PMC11487173, DOI: 10.1038/s41467-024-53477-x.Peer-Reviewed Original ResearchRocky Mountain Spotted Fever Encephalitis and "Starry Sky" Pattern on MRI: A Case Report.
Mikhaiel J, Parasram M, Park J, Cappucci S, McGuone D, Falcone G, Sheth K, Gilmore E. Rocky Mountain Spotted Fever Encephalitis and "Starry Sky" Pattern on MRI: A Case Report. The Neurologist 2024 PMID: 39382206, DOI: 10.1097/nrl.0000000000000586.Peer-Reviewed Original ResearchMagnetic resonance imagingPetechial rashCase reportDiffusion restrictionMagnetic resonance imaging brainMagnetic resonance imaging brain findingsRepeat MRI brainRocky Mountain spotted feverUrinary tract infectionFoci of diffusion restrictionRight centrum semiovaleProgression to comaPerivascular lymphocytic infiltrateDiffuse petechial rashTract infectionsClinical presentationViral cultureClinical improvementMRI brainLymphocytic infiltrationLumbar punctureSkin biopsiesElevated proteinNeurological manifestationsPunctate fociSex 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: 1103-1103. PMID: 39158922, DOI: 10.1001/jamaneurol.2024.2599.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, 20: 7567-7579. PMID: 39351858, PMCID: PMC11567845, 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 adultsNanotechnology 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 approachesDrugPharmacotherapyStrokeImprovement 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, 246: 108555. PMID: 39357321, 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 reviewWhite 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 healthTertileRiskImpairmentInterdisciplinary 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 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 measurementsHealthInterventionAdults