2024
Health-Related Behaviors and Risk of Common Age-Related Brain Diseases Across Severities of Genetic Risk
Marini S, Kimball T, Mayerhofer E, Tack R, Senff J, Prapiadou S, Rivier C, Duskin J, Kourkoulis C, Falcone G, Yechoor N, Tanzi R, Rosand J, Singh S, Parodi L, Anderson C. Health-Related Behaviors and Risk of Common Age-Related Brain Diseases Across Severities of Genetic Risk. Neurology 2024, 103: e210014. PMID: 39504504, DOI: 10.1212/wnl.0000000000210014.Peer-Reviewed Original ResearchConceptsLate-life depressionGenetic riskDementia riskUK Biobank (UKBEffects of healthy lifestylesHealth-related behaviorsGenetic predispositionElevated genetic riskProspective cohort studyHazard of strokeCox proportional hazards modelsAge-related brain diseasesLifestyle behaviorsCare scoresUKB participantsProportional hazards modelHealthy lifestyleIncidence of strokeMultivariate Cox proportional hazards modelPolygenic scoresTargeted interventionsLifestyle adjustmentsAggregate risk estimatesRisk estimatesCohort study
2022
Analysis of Clinical Traits Associated With Cardiovascular Health, Genomic Profiles, and Neuroimaging Markers of Brain Health in Adults Without Stroke or Dementia
Acosta JN, Both CP, Rivier C, Szejko N, Leasure AC, Gill TM, Payabvash S, Sheth KN, Falcone GJ. Analysis of Clinical Traits Associated With Cardiovascular Health, Genomic Profiles, and Neuroimaging Markers of Brain Health in Adults Without Stroke or Dementia. JAMA Network Open 2022, 5: e2215328. PMID: 35622359, PMCID: PMC9142873, DOI: 10.1001/jamanetworkopen.2022.15328.Peer-Reviewed Original ResearchMeSH KeywordsAdultBiomarkersBrainCohort StudiesDementiaFemaleGenomicsHumansMaleNeuroimagingRisk FactorsStrokeUnited StatesConceptsBrain healthBrain volumeMagnetic resonance imagingLower mean volumeLifestyle factorsCardiovascular healthLarge population-based cohort studyLife's Simple 7 (LS7) scoresPopulation-based cohort studyBrain magnetic resonance imagingMean volumeWhite matter hyperintensity volumeBrain health benefitsCommunity-dwelling personsImproved brain healthOutcomes of interestUK BiobankFinal analytical sampleAsymptomatic personsCohort studyLS7 scoreNeuroimaging markerHyperintensity volumeMAIN OUTCOMEGenetic predisposition
2021
Diffusion-Weighted Imaging Lesions After Intracerebral Hemorrhage and Risk of Stroke
Murthy SB, Zhang C, Gupta A, Cho SM, Rivera-Lara L, Avadhani R, Gruber J, Iadecola C, Falcone GJ, Sheth KN, Qureshi AI, Goldstein JN, Hanley DF, Kamel H, Ziai WC. Diffusion-Weighted Imaging Lesions After Intracerebral Hemorrhage and Risk of Stroke. Stroke 2021, 52: 595-602. PMID: 33467877, PMCID: PMC8340082, DOI: 10.1161/strokeaha.120.031628.Peer-Reviewed Original ResearchConceptsRecurrent intracerebral hemorrhageRisk of strokeIntracerebral hemorrhageDWI lesionsIschemic strokeDiffusion-weighted imagingDiffusion-weighted imaging lesionsMultivariate Cox regression analysisMISTIE III trialIncident ischemic strokeCox regression analysisPoor functional outcomeCox regression modelIndividual patient dataATACH-2 trialLong-term riskMagnetic resonance imagingICH survivorsIncident strokeIII trialsImaging lesionsSecondary outcomesIschemic lesionsPrimary outcomeFunctional outcome
2020
A Pooled Analysis of Diffusion-Weighted Imaging Lesions in Patients With Acute Intracerebral Hemorrhage
Murthy SB, Cho SM, Gupta A, Shoamanesh A, Navi BB, Avadhani R, Gruber J, Li Y, Greige T, Lioutas VA, Norton C, Zhang C, Mandava P, Iadecola C, Falcone GJ, Sheth KN, Biffi A, Rosand J, Qureshi AI, Goldstein JN, Kidwell C, Awad I, Selim M, Hanley DF, Woo D, Kamel H, Ziai WC. A Pooled Analysis of Diffusion-Weighted Imaging Lesions in Patients With Acute Intracerebral Hemorrhage. JAMA Neurology 2020, 77: 1390-1397. PMID: 32687564, PMCID: PMC7372494, DOI: 10.1001/jamaneurol.2020.2349.Peer-Reviewed Original ResearchConceptsDiffusion-weighted imaging lesionsModified Rankin scoreDWI lesionsImaging lesionsAcute intracerebral hemorrhageIntracerebral hemorrhageFunctional outcomeSubgroup analysisChronic cerebral small vessel diseaseAdmission systolic blood pressureCerebral small vessel diseaseMulticenter prospective studySystolic blood pressurePoor functional outcomeSmall vessel diseaseDeep intracerebral hemorrhageBaseline hematoma volumeIndividual patient dataMixed-effects logistic regressionMixed effects regression modelsAcute sequelaeHypertensive vasculopathyRankin scoreSecondary outcomesBlood pressureEffects of Collateral Status on Infarct Distribution Following Endovascular Therapy in Large Vessel Occlusion Stroke
Al-Dasuqi K, Payabvash S, Torres-Flores GA, Strander SM, Nguyen CK, Peshwe KU, Kodali S, Silverman A, Malhotra A, Johnson MH, Matouk CC, Schindler JL, Sansing LH, Falcone GJ, Sheth KN, Petersen NH. Effects of Collateral Status on Infarct Distribution Following Endovascular Therapy in Large Vessel Occlusion Stroke. Stroke 2020, 51: e193-e202. PMID: 32781941, PMCID: PMC7484023, DOI: 10.1161/strokeaha.120.029892.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overArterial Occlusive DiseasesCerebral InfarctionCohort StudiesCollateral CirculationComputed Tomography AngiographyEndovascular ProceduresFemaleHumansInfarction, Middle Cerebral ArteryLinear ModelsMagnetic Resonance AngiographyMaleMiddle AgedReperfusionRetrospective StudiesStrokeThrombectomyTreatment OutcomeWhite MatterConceptsLarge vessel occlusion strokeFinal infarct volumeCollateral statusPoor collateral statusFavorable outcomeInfarct distributionInfarct volumeReperfusion successIndependent predictorsOcclusion strokeInternal capsuleAnterior circulation large vessel occlusion ischemic strokeLarge vessel occlusion ischemic strokeDeep white matter tractsBaseline collateral statusBorder-zone infarctionEarly favorable outcomeEarly functional outcomesRankin Scale scoreCohort of patientsDegree of reperfusionLarge vessel occlusionComputed tomography angiographyDeep white matterMagnetic resonance imagingStroke Code Presentations, Interventions, and Outcomes Before and During the COVID-19 Pandemic
Jasne AS, Chojecka P, Maran I, Mageid R, Eldokmak M, Zhang Q, Nystrom K, Vlieks K, Askenase M, Petersen N, Falcone GJ, Wira CR, Lleva P, Zeevi N, Narula R, Amin H, Navaratnam D, Loomis C, Hwang DY, Schindler J, Hebert R, Matouk C, Krumholz HM, Spudich S, Sheth KN, Sansing LH, Sharma R. Stroke Code Presentations, Interventions, and Outcomes Before and During the COVID-19 Pandemic. Stroke 2020, 51: 2664-2673. PMID: 32755347, PMCID: PMC7446978, DOI: 10.1161/str.0000000000000347.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overBetacoronavirusBrain IschemiaCohort StudiesComorbidityConnecticutCoronary Artery DiseaseCoronavirus InfectionsCOVID-19DyslipidemiasEmergency Medical ServicesEthnicityFemaleHumansHypertensionIncomeInsurance, HealthIntracranial HemorrhagesMaleMedically UninsuredMiddle AgedOutcome and Process Assessment, Health CarePandemicsPneumonia, ViralRetrospective StudiesSARS-CoV-2Severity of Illness IndexStrokeSubstance-Related DisordersTelemedicineThrombectomyThrombolytic TherapyTime-to-TreatmentConceptsComprehensive stroke centerStroke codePatient characteristicsStroke severityStroke code patientsHistory of hypertensionStroke-like symptomsCoronary artery diseaseCoronavirus disease 2019 (COVID-19) pandemicPatient-level dataLower median household incomePublic health initiativesDisease 2019 pandemicCOVID-19 pandemicRace/ethnicityCode patientsHospital presentationPublic health insuranceRankin ScaleStroke centersArtery diseaseReperfusion timeStroke symptomsEarly outcomesConnecticut hospitals
2019
Deep Learning for Automated Measurement of Hemorrhage and Perihematomal Edema in Supratentorial Intracerebral Hemorrhage
Dhar R, Falcone GJ, Chen Y, Hamzehloo A, Kirsch EP, Noche RB, Roth K, Acosta J, Ruiz A, Phuah CL, Woo D, Gill TM, Sheth KN, Lee JM. Deep Learning for Automated Measurement of Hemorrhage and Perihematomal Edema in Supratentorial Intracerebral Hemorrhage. Stroke 2019, 51: 648-651. PMID: 31805845, PMCID: PMC6993878, DOI: 10.1161/strokeaha.119.027657.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsBrain EdemaCerebral HemorrhageCohort StudiesDeep LearningEdemaFemaleHematomaHumansMaleMiddle AgedConceptsSupratentorial intracerebral hemorrhagePerihematomal edemaIntracerebral hemorrhagePHE volumeResults Two hundred twentyIntracerebral Hemorrhage (ERICH) studyMechanism of injuryIntracerebral hemorrhage patientsSpontaneous intracerebral hemorrhageLarge cohort studyComputed tomography scanSecondary outcomesCohort studyPrimary outcomeHemorrhage patientsSecondary injuryTomography scanHundred twentyMedian volumeLarge cohortHemorrhagePatientsQuantification of hemorrhageFirst cohortDisease biology
2018
Cholesterol levels, statins, and spontaneous intracerebral hemorrhage
Falcone GJ, Gurol ME. Cholesterol levels, statins, and spontaneous intracerebral hemorrhage. Neurology 2018, 91: 197-198. PMID: 29970403, DOI: 10.1212/wnl.0000000000005898.Peer-Reviewed Original Research
2016
Cortical superficial siderosis predicts early recurrent lobar hemorrhage
Roongpiboonsopit D, Charidimou A, William CM, Lauer A, Falcone GJ, Martinez-Ramirez S, Biffi A, Ayres A, Vashkevich A, Awosika OO, Rosand J, Gurol ME, Silverman SB, Greenberg SM, Viswanathan A. Cortical superficial siderosis predicts early recurrent lobar hemorrhage. Neurology 2016, 87: 1863-1870. PMID: 27694268, PMCID: PMC5100711, DOI: 10.1212/wnl.0000000000003281.Peer-Reviewed Original ResearchConceptsCortical superficial siderosisConvexity subarachnoid hemorrhageCerebral amyloid angiopathyRecurrent ICHSuperficial siderosisAcute convexity subarachnoid hemorrhageDisseminated cortical superficial siderosisSingle-center cohort studyBaseline ICH volumeRecurrent lobar hemorrhageProportional hazards modelWhite matter hyperintensitiesIntracerebral hemorrhage recurrenceLobar hemorrhageLobar ICHSymptomatic ICHBoston criteriaConsecutive survivorsCohort studyAmyloid angiopathyHemorrhage recurrenceIndependent predictorsUnivariable analysisCerebral microbleedsIndex eventCT Angiography Spot Sign, Hematoma Expansion, and Outcome in Primary Pontine Intracerebral Hemorrhage
Morotti A, Jessel MJ, Brouwers HB, Falcone GJ, Schwab K, Ayres AM, Vashkevich A, Anderson CD, Viswanathan A, Greenberg SM, Gurol ME, Romero JM, Rosand J, Goldstein JN. CT Angiography Spot Sign, Hematoma Expansion, and Outcome in Primary Pontine Intracerebral Hemorrhage. Neurocritical Care 2016, 25: 79-85. PMID: 26759226, PMCID: PMC4940347, DOI: 10.1007/s12028-016-0241-2.Peer-Reviewed Original ResearchConceptsPrimary pontine hemorrhagePositive predictive valueSupratentorial intracerebral hemorrhageIntracerebral hemorrhageHematoma expansionHospital mortalitySpot signNegative predictive valuePredictive valueNon-contrast CT scanCT angiography spot signAbsolute hematoma growthBrainstem ICHTomography angiography spot signConsecutive ICH patientsComputer-assisted volumetric analysisSpot sign presenceNegative likelihood ratioCTA spot signCollected cohortICH patientsPontine hemorrhagePPH casesHematoma growthHematoma volumeEndovascular Stroke Treatment Outcomes After Patient Selection Based on Magnetic Resonance Imaging and Clinical Criteria
Leslie-Mazwi TM, Hirsch JA, Falcone GJ, Schaefer PW, Lev MH, Rabinov JD, Rost NS, Schwamm L, González RG. Endovascular Stroke Treatment Outcomes After Patient Selection Based on Magnetic Resonance Imaging and Clinical Criteria. JAMA Neurology 2016, 73: 1-7. PMID: 26524074, DOI: 10.1001/jamaneurol.2015.3000.Peer-Reviewed Original ResearchConceptsMagnetic resonance imagingSelection of patientsClinical criteriaFavorable outcomeSuccessful reperfusionMRS scoreLTB patientsIschemic strokeTerminal internal carotid artery occlusionResonance imagingInternal carotid artery occlusionStroke treatment outcomesEndovascular stroke treatmentAcute ischemic strokeCarotid artery occlusionProspective cohort studyMiddle cerebral arterySpecific magnetic resonance imagingInfarct volume determinationArtery occlusionCohort studyStroke treatmentCerebral arteryEndovascular treatmentPatient selection
2015
Rate of Contrast Extravasation on Computed Tomographic Angiography Predicts Hematoma Expansion and Mortality in Primary Intracerebral Hemorrhage
Brouwers HB, Battey TW, Musial HH, Ciura VA, Falcone GJ, Ayres AM, Vashkevich A, Schwab K, Viswanathan A, Anderson CD, Greenberg SM, Pomerantz SR, Ortiz CJ, Goldstein JN, Gonzalez RG, Rosand J, Romero JM. Rate of Contrast Extravasation on Computed Tomographic Angiography Predicts Hematoma Expansion and Mortality in Primary Intracerebral Hemorrhage. Stroke 2015, 46: 2498-2503. PMID: 26243220, PMCID: PMC4550492, DOI: 10.1161/strokeaha.115.009659.Peer-Reviewed Original ResearchConceptsPrimary intracerebral hemorrhageHematoma expansionContrast extravasationIntracerebral hemorrhageSpot signExtravasation rateTomographic angiographyConsecutive intracerebral hemorrhage patientsML/minContrast extravasation rateAcute intracerebral hemorrhageIntracerebral hemorrhage patientsMultivariable logistic regressionRate of bleedingIntracerebral hemorrhage volumeSpot sign presenceHospital mortalityMultivariable analysisHemorrhage patientsPostcontrast CTHemorrhage volumeSemiautomated softwareMortalityLogistic regressionHemorrhageIntakes of caffeine, coffee and tea and risk of amyotrophic lateral sclerosis: Results from five cohort studies
Fondell E, O’Reilly É, Fitzgerald KC, Falcone GJ, Kolonel LN, Park Y, Gapstur SM, Ascherio A. Intakes of caffeine, coffee and tea and risk of amyotrophic lateral sclerosis: Results from five cohort studies. Amyotrophic Lateral Sclerosis And Frontotemporal Degeneration 2015, 16: 366-371. PMID: 25822002, PMCID: PMC4589421, DOI: 10.3109/21678421.2015.1020813.Peer-Reviewed Original ResearchConceptsAmyotrophic lateral sclerosisMultivariable-adjusted risk ratiosALS riskRisk ratioCohort studyLateral sclerosisCases of ALSCox proportional hazards regressionProportional hazards regressionLarge cohort studyIntake of caffeineAdenosine A2A receptorsRandom-effects modelConsumption of caffeineHazards regressionALS incidenceLowest quintileMotor neuronsCaffeine intakeA2A receptorsAssociation of caffeineLarger studyIntakeSclerosisRisk
2014
Genetic Architecture of White Matter Hyperintensities Differs in Hypertensive and Nonhypertensive Ischemic Stroke
Adib-Samii P, Devan W, Traylor M, Lanfranconi S, Zhang CR, Cloonan L, Falcone GJ, Radmanesh F, Fitzpatrick K, Kanakis A, Rothwell PM, Sudlow C, Boncoraglio GB, Meschia JF, Levi C, Dichgans M, Bevan S, Rosand J, Rost NS, Markus HS. Genetic Architecture of White Matter Hyperintensities Differs in Hypertensive and Nonhypertensive Ischemic Stroke. Stroke 2014, 46: 348-353. PMID: 25550368, PMCID: PMC4306538, DOI: 10.1161/strokeaha.114.006849.Peer-Reviewed Original ResearchInterrelationship of superficial siderosis and microbleeds in cerebral amyloid angiopathy
Shoamanesh A, Martinez-Ramirez S, Oliveira-Filho J, Reijmer Y, Falcone GJ, Ayres A, Schwab K, Goldstein JN, Rosand J, Gurol ME, Viswanathan A, Greenberg SM. Interrelationship of superficial siderosis and microbleeds in cerebral amyloid angiopathy. Neurology 2014, 83: 1838-1843. PMID: 25320098, PMCID: PMC4240429, DOI: 10.1212/wnl.0000000000000984.Peer-Reviewed Original ResearchConceptsCortical superficial siderosisCerebral amyloid angiopathyCMB countCerebral microbleedsSuperficial siderosisAmyloid angiopathyΕ4 allele frequencyCross-sectional analysisCSS presenceAPOE genotypeAPOE ε4MRI scansAngiopathyMicrobleedsSiderosisCountSeverityGenetic associationLongitudinal research studyCS relativeDistinct patternsAllele frequenciesSubjectsIndividualsTertileCT angiography spot sign in intracerebral hemorrhage predicts active bleeding during surgery
Brouwers HB, Raffeld MR, van Nieuwenhuizen KM, Falcone GJ, Ayres AM, McNamara KA, Schwab K, Romero JM, Velthuis BK, Viswanathan A, Greenberg SM, Ogilvy CS, van der Zwan A, Rinkel GJ, Goldstein JN, Klijn CJ, Rosand J. CT angiography spot sign in intracerebral hemorrhage predicts active bleeding during surgery. Neurology 2014, 83: 883-889. PMID: 25098540, PMCID: PMC4153853, DOI: 10.1212/wnl.0000000000000747.Peer-Reviewed Original ResearchConceptsPostoperative rebleedingIntracerebral hemorrhageSpontaneous intracerebral hemorrhageSpot signActive bleedingHematoma evacuationIntraoperative bleedingCase fatalityICH volumeCT angiography spot signBrainstem ICHOnly independent markerSurgical hematoma evacuationSpontaneous ICH patientsMultivariable logistic regressionConsecutive spontaneous ICH patientsFuture surgical trialsSpot sign presenceCTA spot signAntiplatelet usePostoperative bleedingResidual hematomaICH patientsFemale sexSurgical trialsMortality of patients with multiple sclerosis: a cohort study in UK primary care
Jick SS, Li L, Falcone GJ, Vassilev ZP, Wallander M. Mortality of patients with multiple sclerosis: a cohort study in UK primary care. Journal Of Neurology 2014, 261: 1508-1517. PMID: 24838537, PMCID: PMC4119255, DOI: 10.1007/s00415-014-7370-3.Peer-Reviewed Original ResearchConceptsCause of deathMS patientsCause mortalityHazard ratioMS casesUK General Practice Research DatabaseGeneral Practice Research DatabaseLarge population-based cohortFirst MS diagnosisMortality of patientsFemale MS patientsCox proportional regressionMultiple sclerosis patientsPopulation-based cohortUK primary careConfidence intervalsDifferent hazard ratiosHR 1.7Index dateCohort studyYounger patientsHigher proportionSclerosis patientsMS diagnosisMultiple sclerosisDietary Fiber and Amyotrophic Lateral Sclerosis: Results From 5 Large Cohort Studies
Fondell E, O'Reilly É, Fitzgerald KC, Falcone GJ, Kolonel LN, Park Y, McCullough ML, Ascherio A. Dietary Fiber and Amyotrophic Lateral Sclerosis: Results From 5 Large Cohort Studies. American Journal Of Epidemiology 2014, 179: 1442-1449. PMID: 24816788, PMCID: PMC4051879, DOI: 10.1093/aje/kwu089.Peer-Reviewed Original ResearchMeSH KeywordsAgedAmyotrophic Lateral SclerosisCohort StudiesDietary FiberFemaleHumansMaleMiddle AgedProportional Hazards ModelsRiskConceptsAmyotrophic lateral sclerosisCohort studyALS riskFiber intakeLateral sclerosisCause of ALSLarge prospective cohort studyRisk of ALSProspective cohort studyHigh fiber intakeMedian survival timeCase-control studyLarge cohort studyProportional hazards modelCohort-specific estimatesRandom-effects modelInflammatory markersProspective studyHighest quintileALS casesDietary intakeCereal fiberSurvival timeLower riskHazards modelPredicting 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
Early-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