2024
Socioeconomic 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 adultsWhite 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 healthTertileRiskImpairmentDeep 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 strokeCerebral Amyloid Angiopathy and Nontraumatic Subdural Hemorrhage—Reply
Rivier C, Falcone G, Murthy S. Cerebral Amyloid Angiopathy and Nontraumatic Subdural Hemorrhage—Reply. JAMA Neurology 2024, 81: 888-888. PMID: 38856983, DOI: 10.1001/jamaneurol.2024.1598.Peer-Reviewed Original ResearchThe predictive validity of a Brain Care Score for late-life depression and a composite outcome of dementia, stroke, and late-life depression: data from the UK Biobank cohort
Singh S, Rivier C, Papier K, Chemali Z, Gutierrez-Martinez L, Parodi L, Mayerhofer E, Senff J, Clocchiatti-Tuozzo S, Nunley C, Newhouse A, Ouyang A, Westover M, Tanzi R, Lazar R, Pikula A, Ibrahim S, Brouwers H, Howard V, Howard G, Yechoor N, Littlejohns T, Sheth K, Rosand J, Fricchione G, Anderson C, Falcone G. The predictive validity of a Brain Care Score for late-life depression and a composite outcome of dementia, stroke, and late-life depression: data from the UK Biobank cohort. Frontiers In Psychiatry 2024, 15: 1373797. PMID: 39109366, PMCID: PMC11301016, DOI: 10.3389/fpsyt.2024.1373797.Peer-Reviewed Original ResearchIncident late-life depressionLate-life depressionBrain health outcomesCare scoresHealth outcomesHealthy lifestyle choicesOutcome of dementiaUK Biobank cohortRisk factorsComposite outcomeCox proportional hazards modelsCare providersBiobank cohortProportional hazards modelIncident casesMultivariate Cox proportional hazards modelRisk of strokeLifestyle changesClinical careLifestyle choicesDementiaBrain healthFuture depressionBaseline evaluationComplete dataAPOE 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, 72: 2989-2999. PMID: 38946154, PMCID: PMC11461103, 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 diseaseDeep 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 cohortRadiomic Features of Acute Cerebral Hemorrhage on Non-Contrast CT Associated with Patient Survival
Zaman S, Dierksen F, Knapp A, Haider S, Karam G, Qureshi A, Falcone G, Sheth K, Payabvash S. Radiomic Features of Acute Cerebral Hemorrhage on Non-Contrast CT Associated with Patient Survival. Diagnostics 2024, 14: 944. PMID: 38732358, PMCID: PMC11083693, DOI: 10.3390/diagnostics14090944.Peer-Reviewed Original ResearchInternational Normalized RatioArea under the curveNational Institutes of Health Stroke ScaleIntracerebral hemorrhageRadiomic featuresAntihypertensive Treatment of Acute Cerebral Hemorrhage IINon-contrast head CT scanBaseline International Normalized RatioAssociated with worse survival outcomesAcute intracerebral hemorrhageSupratentorial intracerebral hemorrhageWorse survival outcomesKaplan-Meier analysisHead CT scanCox proportional hazards modelsPredictors of mortalityAcute cerebral hemorrhageReceiver Operating Characteristic (ROC) analysisFirst-order energyHigher mortality riskProportional hazards modelHealth Stroke ScaleCT radiomicsHematoma expansionPost-ICHSecondary 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 controlImpact of sleep quality and physical activity on blood pressure variability
de Havenon A, Falcone G, Rivier C, Littig L, Petersen N, de Villele P, Prabhakaran S, Kimberly W, Mistry E, Sheth K. Impact of sleep quality and physical activity on blood pressure variability. PLOS ONE 2024, 19: e0301631. PMID: 38625967, PMCID: PMC11020843, DOI: 10.1371/journal.pone.0301631.Peer-Reviewed Original ResearchConceptsSleep qualityPhysical activityOdds ratioCohort of community-dwelling adultsCommunity-dwelling adultsExcess relative riskBlood pressure variabilityExamined sleep qualityPoor sleep qualitySystolic blood pressure standard deviationSleep interruptionBody mass indexPhysical inactivityPrimary study outcomeStep countsImpact of sleep qualityLowest tertileRelative riskHigh blood pressure variabilityHome measurement devicesActivity levelsExposure statusPoor sleepMass indexStudy outcomesChronic Kidney Disease and Risk of Intracerebral Hemorrhage: The Role of Hypertension as a Mediator (S34.004)
Vanent K, Rivier C, Matouk C, Levitt M, Leslie-Mazwi T, Gill T, Sheth K, Falcone G. Chronic Kidney Disease and Risk of Intracerebral Hemorrhage: The Role of Hypertension as a Mediator (S34.004). Neurology 2024, 102 DOI: 10.1212/wnl.0000000000205783.Peer-Reviewed Original ResearchBrain Health Outcomes in Sexual and Gender Minority Groups (S14.002)
Huo S, Rivier C, Clocchiatti-Tuozzo S, Renedo D, Sunmonu N, De Havenon A, Sheth K, Falcone G. Brain Health Outcomes in Sexual and Gender Minority Groups (S14.002). Neurology 2024, 102 DOI: 10.1212/wnl.0000000000205825.Peer-Reviewed Original ResearchPolygenic Resistance to Blood Pressure Treatment and Stroke Risk (S6.001)
Huo S, Rivier C, Clocchiatti-Tuozzo S, Renedo D, Zhao H, De Havenon A, Sheth K, Falcone G. Polygenic Resistance to Blood Pressure Treatment and Stroke Risk (S6.001). Neurology 2024, 102 DOI: 10.1212/wnl.0000000000206202.Peer-Reviewed Original ResearchEnhanced Benefits of the Life’s Essential 8 in APOE Epsilon 4 Carriers (P3-5.014)
Clocchiatti-Tuozzo S, Rivier C, Renedo D, Huo S, Torres-Lopez V, De Havenon A, Sheth K, Gill T, Falcone G. Enhanced Benefits of the Life’s Essential 8 in APOE Epsilon 4 Carriers (P3-5.014). Neurology 2024, 102 DOI: 10.1212/wnl.0000000000206215.Peer-Reviewed Original ResearchOral 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 ResearchLife’s Essential 8 and Brain Health Clinical Outcomes in Middle-aged Adults (P2-15.003)
Clocchiatti-Tuozzo S, Rivier C, Renedo D, Huo S, Torres-Lopez V, De Havenon A, Sheth K, Gill T, Falcone G. Life’s Essential 8 and Brain Health Clinical Outcomes in Middle-aged Adults (P2-15.003). Neurology 2024, 102 DOI: 10.1212/wnl.0000000000206195.Peer-Reviewed Original ResearchEpigenetic Age and Brain Health Events: Findings from the Health and Retirement Study (P2-9.004)
Rivier C, Szejko N, Renedo D, De Havenon A, Sheth K, Gill T, Falcone G. Epigenetic Age and Brain Health Events: Findings from the Health and Retirement Study (P2-9.004). Neurology 2024, 102 DOI: 10.1212/wnl.0000000000204975.Peer-Reviewed Original ResearchFactors Associated with Delayed Clinical Evaluation for Patients with Intracerebral Hemorrhage in the ERICH Study (S41.010)
Lalwani D, Zabinska J, Peasley E, De Havenon A, Falcone G, Goldstein J, Woo D, Sheth K. Factors Associated with Delayed Clinical Evaluation for Patients with Intracerebral Hemorrhage in the ERICH Study (S41.010). Neurology 2024, 102 DOI: 10.1212/wnl.0000000000204689.Peer-Reviewed Original Research