2024
Life'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 participantsSocioeconomic 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, 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 healthTertileRiskImpairment0488 Exploring Study Recruitment Trends in the Acute Post-Stroke Setting
Schwarz J, Masroor K, Radulescu R, Tsang S, Sheth K, Redeker N, Yaggi H, Geer J. 0488 Exploring Study Recruitment Trends in the Acute Post-Stroke Setting. Sleep 2024, 47: a210-a210. DOI: 10.1093/sleep/zsae067.0488.Peer-Reviewed Original ResearchContinuous positive airway pressureObstructive sleep apneaPositive airway pressureAcute ischemic strokeAirway pressureUpper airway closureSleep-disordered breathingYale-New Haven HospitalCerebral blood flowOSA screeningOSA treatmentSleep apneaImpact cerebral blood flowAcademic medical centerSympathetic activityClinical trialsPatient populationHemodynamic changesRisk factorsPatientsFunctional recoveryExclusion criteriaAirway closureCardiovascular diseaseBlood flow0486 Performing Polysomnography in the Acute Post-stroke Setting
Masroor K, Schwarz J, Radulescu R, Tsang S, Sheth K, Redeker N, Yaggi H, Geer J. 0486 Performing Polysomnography in the Acute Post-stroke Setting. Sleep 2024, 47: a209-a209. DOI: 10.1093/sleep/zsae067.0486.Peer-Reviewed Original ResearchObstructive sleep apneaSleep apneaRates of obstructive sleep apneaSymptoms of obstructive sleep apneaSevere obstructive sleep apneaObstructive sleep apnea diagnosisAcute settingSleep-disordered breathingPercentage of patientsProportion of patientsYale-New Haven HospitalAHI cutoffOSA prevalenceOSA diagnosisPreventing recurrent strokeImprove stroke recoveryPolysomnography testNew Haven HospitalPolysomnographyScreening patientsTherapeutic windowApneaPatientsRisk factorsMedical recordsOral Health as a Risk Factor for Spontaneous Intracerebral Hemorrhage: A Mendelian Randomization Analysis (S34.001)
Rivier C, Clocchiatti-Tuozzo S, Huo S, Renedo D, Hawkes M, Sunmonu N, Sheth K, Falcone G. Oral Health as a Risk Factor for Spontaneous Intracerebral Hemorrhage: A Mendelian Randomization Analysis (S34.001). Neurology 2024, 102 DOI: 10.1212/wnl.0000000000204999.Peer-Reviewed Original ResearchTrends 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 riskPatientsCerebral Amyloid Angiopathy and Risk of Isolated Nontraumatic Subdural Hemorrhage
Rivier C, Kamel H, Sheth K, Iadecola C, Gupta A, de Leon M, Ross E, Falcone G, Murthy S. Cerebral Amyloid Angiopathy and Risk of Isolated Nontraumatic Subdural Hemorrhage. JAMA Neurology 2024, 81: 163-169. PMID: 38147345, PMCID: PMC10751656, DOI: 10.1001/jamaneurol.2023.4918.Peer-Reviewed Original ResearchCerebral amyloid angiopathyMultivariable logistic regression analysisSubdural hemorrhageLogistic regression analysisIntracerebral hemorrhageIntracranial hemorrhageUK Biobank cohortAmyloid angiopathyMean ageUS cohortRisk factorsHigher oddsDiagnosis of CAAPopulation-based cohort studyBiobank cohortClinical Modification diagnosis codesCAA-related intracerebral hemorrhageCox proportional hazards modelRegression analysisAntithrombotic medication useIndependent risk factorCox regression analysisMultivariable logistic regressionNovel risk factorsSpontaneous intracerebral hemorrhageTime-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 factorsHematoma
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 interventionBaseline Cardiovascular Risk Factor Control in Patients With Type 2 Diabetes and Coronary Disease Versus Stroke: Secondary Analysis of Cardiovascular Outcome Trials
Balasubramanian P, Kernan W, Sheth K, Ofstad A, Rosenstock J, Wanner C, Zinman B, Mattheus M, Marx N, Inzucchi S. Baseline Cardiovascular Risk Factor Control in Patients With Type 2 Diabetes and Coronary Disease Versus Stroke: Secondary Analysis of Cardiovascular Outcome Trials. Stroke 2023, 54: 2013-2021. PMID: 37449424, PMCID: PMC10358436, DOI: 10.1161/strokeaha.122.042053.Peer-Reviewed Original ResearchConceptsCardiovascular risk factor controlRisk factor controlCoronary artery diseaseEMPA-REG OUTCOMECardiovascular outcome trialsType 2 diabetesRisk factorsOutcome trialsBlood pressureOdds ratioAntiplatelet/anticoagulant medicationsAntiplatelet/anticoagulant therapyDiabetes cardiovascular outcome trialsSuboptimal risk factor controlCardiovascular risk factorsRecurrent ischemic eventsDiastolic blood pressureSystolic blood pressureRespective odds ratiosFactor controlCross-sectional analysisLogistic regression modelsMacrovascular complicationsStatin useAnticoagulant medicationImprovement 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 testStrokeIdentification 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 indexHemorrhagic Conversion of Acute Ischemic Stroke
Zubair A, Sheth K. Hemorrhagic Conversion of Acute Ischemic Stroke. Neurotherapeutics 2023, 20: 705-711. PMID: 37085684, PMCID: PMC10275827, DOI: 10.1007/s13311-023-01377-1.Peer-Reviewed Original ResearchConceptsAcute ischemic strokeHemorrhagic conversionIschemic strokeTreatment of patientsHemorrhagic transformationEndovascular thrombectomySerious complicationsThrombolytic therapyTreatment optionsRisk factorsLeading causePatient outcomesCurrent treatmentTimely managementStrokePatientsTreatmentThrombectomyMorbidityComplicationsReviewPathophysiologyTherapyMortalityDiagnosis
2022
Neurologic Manifestations of Severe Acute Respiratory Syndrome Coronavirus 2 Infection in Hospitalized Patients During the First Year of the COVID-19 Pandemic
Cervantes-Arslanian A, Venkata C, Anand P, Burns J, Ong C, LeMahieu A, Schulte P, Singh T, Rabinstein A, Deo N, Bansal V, Boman K, Garces J, Armaignac D, Christie A, Melamed R, Tarabichi Y, Cheruku S, Khanna A, Denson J, Banner-Goodspeed V, Anderson H, Gajic O, Kumar V, Walkey A, Kashyap R, Mesland J, Henin P, Petre H, Buelens I, Gerard A, Clevenbergh P, Granado R, Mercado J, Vega-Terrazas E, Iturricha-Caceres M, Garza R, Chu E, Chan V, Gavidia O, Pachon F, Sanchez Y, knežević D, Kassas M, Badr M, Tawheed A, Tawheed A, Yahia H, Kantas D, Koulouras V, Pineda E, Guillen G, Soto H, Lizardo A, Kopitkó C, Bencze Á, Méhész I, Gerendai Z, Vadgaonkar G, Ediga R, Basety S, Dammareddy S, Kasumalla P, Segu S, Chakraborty T, Joyce E, Papani S, Kamuram M, Daga M, Agarwal M, Rohtagi I, Cherian A, Parameswaran S, Parthiban M, Doddaga P, Chandra N, Rijhwani P, Jain A, Gupta A, Jaiswal R, Tyagi A, Mathur N, Prabhu M, Jakati V, Petrolwala M, Ladva B, Mohan S, Jyothisree E, Raju U, Manduva J, Kolakani N, Sripathi S, Chaitanya S, Agrawal K, Baghel V, Patel K, Dalili N, Nafa M, Matsuda W, Suzuki R, Kyo M, Tahara S, Hayakawa M, Maekawa K, Suzuki R, Sanui M, Horikita S, Itagaki Y, Kodate A, Suzuki R, Kodate A, Takahashi Y, Moriki K, Shiga T, Iwasaki Y, Shigemitsu H, Mishima Y, Nosaka N, Nagashima M, Al-Fares A, Rodriguez-Gutierrez R, Gonzalez-Gonzalez J, Salcido-Montenegro A, Camacho-Ortiz A, Ulloa M, Hassan-Hanga F, Galadanci H, Gezawa A, Kabara H, Amole T, Kabir H, Haliru D, Ibrahim A, Asghar M, Syed M, Naqvi S, Zabolotskikh I, Zybin K, Sinkov S, Musaeva T, Alamoudi R, AlSharif H, Almazwaghi S, Elsakran M, Aid M, Darwich M, Hagag O, Ali S, rocacorba A, Supeña K, Juane E, Medina J, Baduria J, Amer M, Abdullah M, Bawazeer T, Kseibi E, Butt A, Khurshid S, Rabee M, Abujazar M, Alghunaim R, Abualkhair M, AlFirm A, Kseibi E, Khurshid S, Rabee M, Abujazar M, Alghunaim R, Arabi Y, Abdukahil S, Almazyad M, Alarifi M, Macarambon J, Bukhari A, Albahrani H, Asfina K, Aldossary K, Zdravkovic M, 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S, Burns S, Raymond A, Gonyaw E, Hodgdon K, Housenger C, Lin B, McQuesten K, Pecott-Grimm H, Sweet J, Ventrone S, Khandelwal N, West T, Caldwell E, Lovelace-Macon L, Garimella N, Dow D, Cheruku S, Chen C, Ahmed F, Deonarine C, Jones A, Preston D, Shaikh M, Chin J, Akhter M, Rahman R, Mulrow M, Wilfong E, Vela K, Khanna A, Harris L, Cusson B, Fowler J, Vaneenenaam D, McKinney G, Udoh I, Johnson K, Lyons P, Michelson A, Haluf S, Lynch L, Nguyen N, Steinberg A, Braus N, Pattan V, Papke J, Jimada I, Mhid N, Chakola S, Sheth K, Ammar A, Ammar M, Lopez V, Dela Cruz C, Khosla A, Gautam S. Neurologic Manifestations of Severe Acute Respiratory Syndrome Coronavirus 2 Infection in Hospitalized Patients During the First Year of the COVID-19 Pandemic. Critical Care Explorations 2022, 4: e0686. PMID: 35492258, PMCID: PMC9042584, DOI: 10.1097/cce.0000000000000686.Peer-Reviewed Original ResearchSerious neurologic manifestationsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionAcute respiratory syndrome coronavirus 2 infectionSyndrome coronavirus 2 infectionSARS-CoV-2 infectionMeningitis/encephalitisCoronavirus 2 infectionNeurologic manifestationsHospitalized patientsRisk factorsWorse outcomesSevere diseaseLaboratory-confirmed SARS-CoV-2 infectionMedian age 72 yearsHospital discharge statusVentilator-free daysCritical care interventionsProspective observational studyVascular risk factorsChronic medical conditionsAge 72 yearsCOVID-19 registryCOVID-19 infectionDisease Severity ScaleCare interventionsWORSE VASCULAR RISK FACTOR CONTROL IN PATIENTS WITH STROKE COMPARED TO PATIENTS WITH MYOCARDIAL INFARCTION
Leasure A, Acosta J, Schwartz A, Forman R, Sharma R, de Havenon A, Falcone G, Inzucchi S, Kernan W, Sheth K. WORSE VASCULAR RISK FACTOR CONTROL IN PATIENTS WITH STROKE COMPARED TO PATIENTS WITH MYOCARDIAL INFARCTION. Journal Of The American College Of Cardiology 2022, 79: 1504. DOI: 10.1016/s0735-1097(22)02495-0.Peer-Reviewed Original Research
2021
Race/Ethnicity Considerations in the Prevention and Treatment of Stroke
Forman R, Sheth K. Race/Ethnicity Considerations in the Prevention and Treatment of Stroke. Current Treatment Options In Neurology 2021, 23: 33. DOI: 10.1007/s11940-021-00684-2.Peer-Reviewed Original ResearchStroke risk factorsGreater Cincinnati/Northern Kentucky Stroke StudyRisk factorsBlack individualsRate of strokeHospital arrival timeWhite individualsTreatment of strokeRecent FindingsMultiple studiesPurpose of ReviewToHigh mortality rateStroke outcomeHemorrhagic strokeStroke treatmentWhite patientsBlack patientsStroke disparitiesStroke patientsStroke StudyTimely treatmentMortality rateGreater incidenceGreater severityEthnic disparitiesStrokeAuthor Response: Cause of Death in Spontaneous Intracerebral Hemorrhage Survivors: Multistate Longitudinal Study
Kuohn L, Sheth K. Author Response: Cause of Death in Spontaneous Intracerebral Hemorrhage Survivors: Multistate Longitudinal Study. Neurology 2021, 97: 149-149. DOI: 10.1212/wnl.0000000000012283.Peer-Reviewed Original ResearchIntracerebral hemorrhage survivorsSpontaneous intracerebral hemorrhage survivorsAdjusted multinomial logistic regression modelIndependent risk factorInfection-related mortalityBurden of disabilityInfection-related deathsInfection-related morbidityUrinary tract infectionOdds of deathLong-term outcomesCause of deathLogistic regression modelsDeath overallICH survivorsAspiration pneumoniaMultinomial logistic regression modelsTract infectionsChronic hospitalizationRisk factorsDiabetesPotential associationClostridium difficileInfectionOlder age