2024
Corrigendum: 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
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. Corrigendum: 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: 1502482. PMID: 39600788, PMCID: PMC11589155, DOI: 10.3389/fpsyt.2024.1502482.Peer-Reviewed Original Research
2023
Identification 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 index
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 ageCohortStroke
2014
Meta-analysis of Genome-wide Association Studies Identifies 1q22 as a Susceptibility Locus for Intracerebral Hemorrhage
Woo D, Falcone GJ, Devan WJ, Brown WM, Biffi A, Howard TD, Anderson CD, Brouwers HB, Valant V, Battey TW, Radmanesh F, Raffeld MR, Baedorf-Kassis S, Deka R, Woo JG, Martin LJ, Haverbusch M, Moomaw CJ, Sun G, Broderick JP, Flaherty ML, Martini SR, Kleindorfer DO, Kissela B, Comeau ME, Jagiella JM, Schmidt H, Freudenberger P, Pichler A, Enzinger C, Hansen BM, Norrving B, Jimenez-Conde J, Giralt-Steinhauer E, Elosua R, Cuadrado-Godia E, Soriano C, Roquer J, Kraft P, Ayres AM, Schwab K, McCauley JL, Pera J, Urbanik A, Rost NS, Goldstein JN, Viswanathan A, Stögerer EM, Tirschwell DL, Selim M, Brown DL, Silliman SL, Worrall BB, Meschia JF, Kidwell CS, Montaner J, Fernandez-Cadenas I, Delgado P, Malik R, Dichgans M, Greenberg SM, Rothwell PM, Lindgren A, Slowik A, Schmidt R, Langefeld CD, Rosand J, Consortium T. Meta-analysis of Genome-wide Association Studies Identifies 1q22 as a Susceptibility Locus for Intracerebral Hemorrhage. American Journal Of Human Genetics 2014, 94: 511-521. PMID: 24656865, PMCID: PMC3980413, DOI: 10.1016/j.ajhg.2014.02.012.Peer-Reviewed Original ResearchConceptsIntracerebral hemorrhageControl cohortCase cohortRisk of ICHUnderlying vascular pathologyLobar intracerebral hemorrhageNonlobar intracerebral hemorrhageRandom digit dialingRuptured blood vesselsReplication of signalsStroke subtypesAcute treatmentWorse prognosisControl subjectsAmbulatory clinicsICH casesMeta-analyzed dataVascular pathologyDiscovery cohortCase subjectsSusceptibility lociCohortICH subtypesBlood vesselsNonlobar
2012
Confounding by Indication in Retrospective Studies of Intracerebral Hemorrhage: Antiepileptic Treatment and Mortality
Battey TW, Falcone GJ, Ayres AM, Schwab K, Viswanathan A, McNamara KA, DiPucchio ZY, Greenberg SM, Sheth KN, Goldstein JN, Rosand J. Confounding by Indication in Retrospective Studies of Intracerebral Hemorrhage: Antiepileptic Treatment and Mortality. Neurocritical Care 2012, 17: 361-366. PMID: 22965324, PMCID: PMC3707622, DOI: 10.1007/s12028-012-9776-z.Peer-Reviewed Original ResearchConceptsIntroductionIntracerebral hemorrhageAED treatmentAntiepileptic drugsCohort of patientsAntiepileptic treatmentRankin scoreICH locationIntracerebral hemorrhageRetrospective studyHemorrhage locationClinicians' decisionsResultsMultivariate analysisRetrospective analysisSupratentorial regionFatal diseaseConclusionThese resultsMortalityPatientsConflicting resultsTreatmentTreatment effectsHemorrhageCohortAssociationAdequate power