2024
White 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 healthTertileRiskImpairmentAPOE 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 diseaseUncertainty-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 riskPatientsAPOE 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 Revision
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 interventionHigher Hospital Frailty Risk Score Is Associated With Increased Risk of Stroke: Observational and Genetic Analyses
Renedo D, Acosta J, Koo A, Rivier C, Sujijantarat N, de Havenon A, Sharma R, Gill T, Sheth K, Falcone G, Matouk C. Higher Hospital Frailty Risk Score Is Associated With Increased Risk of Stroke: Observational and Genetic Analyses. Stroke 2023, 54: 1538-1547. PMID: 37216451, PMCID: PMC10212531, DOI: 10.1161/strokeaha.122.041891.Peer-Reviewed Original ResearchConceptsHospital Frailty Risk ScoreRisk of strokeHighest Hospital Frailty Risk ScoresDate of consentFrailty Risk ScoreMendelian randomization analysisStroke riskRisk scoreRandomization analysisTime of enrollmentAvailable electronic health recordsMendelian randomizationElectronic health recordsLook-back periodIncident strokeDose-response wayFrailty statusHemorrhagic strokeMultivariable analysisStroke eventsObservational studyHigh riskFrailtySignificant associationSimilar associationA Genomic Risk Score Identifies Individuals at High Risk for Intracerebral Hemorrhage
Myserlis E, Georgakis M, Demel S, Sekar P, Chung J, Malik R, Hyacinth H, Comeau M, Falcone G, Langefeld C, Rosand J, Woo D, Anderson C. A Genomic Risk Score Identifies Individuals at High Risk for Intracerebral Hemorrhage. Stroke 2023, 54: 973-982. PMID: 36799223, PMCID: PMC10050100, DOI: 10.1161/strokeaha.122.041701.Peer-Reviewed Original ResearchConceptsClinical risk factorsIncident intracerebral hemorrhageIntracerebral hemorrhageHigh-risk populationRisk factorsGenomic risk scoresRisk scoreHigher oddsHigh riskRisk factor-adjusted modelsStandard clinical risk factorsVascular risk factorsLobar intracerebral hemorrhageLow-risk populationNonlobar intracerebral hemorrhageUse of anticoagulantsPopulation-based UK Biobank cohortUK Biobank cohortEuropean ancestryAntithrombotic treatmentClinical predictorsSD incrementMedication usersLifetime riskMetaGRS
2022
Racial/Ethnic Variation in White Matter Hyperintensity Progression in the ACCORDION MIND Study
Herman AL, de Havenon A, Falcone GJ, Prabhakaran S, Sheth KN. Racial/Ethnic Variation in White Matter Hyperintensity Progression in the ACCORDION MIND Study. The Neurologist 2022, 28: 157-159. PMID: 35834785, DOI: 10.1097/nrl.0000000000000454.Peer-Reviewed Original ResearchConceptsWMH progressionWhite matter hyperintensitiesLow-density lipoproteinCardiovascular riskWhite patientsBlack patientsWMH volumeSystolic blood pressure levelsWhite matter hyperintensity progressionBlack diabetic patientsBlood pressure levelsExclusion of patientsMagnetic resonance imagingDiabetes (ACCORD) trialDiabetic patientsMean SBPPrimary outcomePatient raceMultivariate regression modelMatter hyperintensitiesA1c measurementHigh riskPatientsNormal rangeCognitive decline
2021
Prior Stroke and Age Predict Acute Ischemic Stroke Among Hospitalized COVID-19 Patients: A Derivation and Validation Study
Peng TJ, Jasne AS, Simonov M, Abdelhakim S, Kone G, Cheng YK, Rethana M, Tarasaria K, Herman AL, Baker AD, Yaghi S, Frontera JA, Sansing LH, Falcone GJ, Spudich S, Schindler J, Sheth KN, Sharma R. Prior Stroke and Age Predict Acute Ischemic Stroke Among Hospitalized COVID-19 Patients: A Derivation and Validation Study. Frontiers In Neurology 2021, 12: 741044. PMID: 34675873, PMCID: PMC8524436, DOI: 10.3389/fneur.2021.741044.Peer-Reviewed Original ResearchAcute ischemic strokeHospitalized COVID-19 patientsCOVID-19 patientsCOVID-19 cohortNeurologic symptomsPrior strokeIschemic strokeAIS patientsDerivation cohortControl cohortRisk of AISMultivariable logistic regression modelIschemic stroke riskCOVID-19 severityYale New Haven HealthLogistic regression modelsHospital presentationIndependent predictorsStroke riskMajor health systemsHigh riskPatientsYounger ageCohortStrokeGenetic determinants of LDL cholesterol and risk of intracerebral haemorrhage
Szejko N, Kirsch E, Falcone GJ. Genetic determinants of LDL cholesterol and risk of intracerebral haemorrhage. Current Opinion In Lipidology 2021, 32: 244-248. PMID: 34010223, PMCID: PMC10273781, DOI: 10.1097/mol.0000000000000761.Peer-Reviewed Original ResearchConceptsRisk of ICHIntracerebral hemorrhageLDL levelsLDL cholesterolInverse associationClinical trialsLipid levelsObservational studyCerebral small vessel diseaseWhite matter hyperintensity volumeLDL cholesterol levelsLow LDL levelsNontraumatic intracerebral hemorrhageSmall vessel diseaseElevated LDL levelsElevated lipid levelsVessel diseaseCholesterol levelsHigh burdenHyperintensity volumeHigh riskRole of lipidsHemorrhageStatinsRiskChronic Kidney Disease is Associated with Higher Risk and Worse Outcome after Spontaneous Intracerebral Hemorrhage (2729)
Leasure A, Vanent K, Acosta J, Woo D, Murthy S, Kamel H, Cohen J, Townsend R, Petersen N, Sansing L, Gill T, Sheth K, Falcone G. Chronic Kidney Disease is Associated with Higher Risk and Worse Outcome after Spontaneous Intracerebral Hemorrhage (2729). Neurology 2021, 96 DOI: 10.1212/wnl.96.15_supplement.2729.Peer-Reviewed Original Research
2014
Predicting Hematoma Expansion After Primary Intracerebral Hemorrhage
Brouwers HB, Chang Y, Falcone GJ, Cai X, Ayres AM, Battey TW, Vashkevich A, McNamara KA, Valant V, Schwab K, Orzell SC, Bresette LM, Feske SK, Rost NS, Romero JM, Viswanathan A, Chou S, Greenberg SM, Rosand J, Goldstein JN. Predicting Hematoma Expansion After Primary Intracerebral Hemorrhage. JAMA Neurology 2014, 71: 158-164. PMID: 24366060, PMCID: PMC4131760, DOI: 10.1001/jamaneurol.2013.5433.Peer-Reviewed Original ResearchConceptsPrimary intracerebral hemorrhageIndependent validation cohortIntracerebral hemorrhageHematoma expansionValidation cohortHigh riskPrediction scoreUrban academic medical centerBaseline ICH volumeWarfarin sodium useProspective cohort studyAcute intracerebral hemorrhageMultivariable logistic regressionTomography angiography spot signComputed tomography angiography spot signAcademic medical centerPredictors of expansionCohort studyMultivariable analysisDevelopment cohortICH volumeC-statisticClinical trialsIndividualized treatmentMAIN OUTCOME
2013
Apolipoprotein E, Statins, and Risk of Intracerebral Hemorrhage
Woo D, Deka R, Falcone GJ, Flaherty ML, Haverbusch M, Martini SR, Greenberg SM, Ayres AM, Sauerbeck L, Kissela BM, Kleindorfer DO, Moomaw CJ, Anderson CD, Broderick JP, Rosand J, Langefeld CD, Woo JG. Apolipoprotein E, Statins, and Risk of Intracerebral Hemorrhage. Stroke 2013, 44: 3013-3017. PMID: 24008570, PMCID: PMC3873717, DOI: 10.1161/strokeaha.113.001304.Peer-Reviewed Original ResearchConceptsRisk of ICHLobar intracerebral hemorrhageStatin useIntracerebral hemorrhageReplication cohortICH casesAssociation of hypercholesterolemiaHemorrhagic Stroke studyNonlobar intracerebral hemorrhageCase-control studyApolipoprotein E genotypeFisher's exact testEnvironmental risk factorsBreslow-Day testHemorrhagic strokeStroke StudyRisk factorsClinical changesE4 genotypeAPOE polymorphismE genotypeApolipoprotein EDiscovery cohortHigh riskLower riskEarly-Onset Alopecia and Amyotrophic Lateral Sclerosis: A Cohort Study
Fondell E, Fitzgerald KC, Falcone GJ, O'Reilly É, Ascherio A. Early-Onset Alopecia and Amyotrophic Lateral Sclerosis: A Cohort Study. American Journal Of Epidemiology 2013, 178: 1146-1149. PMID: 23942216, PMCID: PMC3783095, DOI: 10.1093/aje/kwt096.Peer-Reviewed Original ResearchConceptsAge 45 yearsEarly-onset alopeciaRisk of ALSExtensive alopeciaTAR DNA-binding protein 43DNA-binding protein 43Health Professionals FollowAmyotrophic lateral sclerosisEarly baldingProfessionals FollowCohort studyModerate alopeciaProtein 43Large cohortHigh riskLateral sclerosisUS menAlopeciaSingle nucleotide polymorphism (SNP) variantsPolymorphism variantsALSMenFurther investigationRiskBalding