2024
Polygenic Risk of Epilepsy and Poststroke Epilepsy
Clocchiatti-Tuozzo S, Rivier C, Misra S, Zelano J, Mazumder R, Sansing L, de Havenon A, Hirsch L, Liebeskind D, Gilmore E, Sheth K, Kim J, Worrall B, Falcone G, Mishra N. Polygenic Risk of Epilepsy and Poststroke Epilepsy. Stroke 2024, 55: 2835-2843. PMID: 39502073, DOI: 10.1161/strokeaha.124.047459.Peer-Reviewed Original ResearchParticipants of European ancestryRisk of poststroke epilepsyPolygenic riskPoststroke epilepsyEuropean ancestryGenome-wide association study meta-analysisPRS decileCase-control genetic association studyGenetic risk lociLowest decilePolygenic risk scoresGenetic association studiesMultivariate logistic regression modelStudy meta-analysisMultivariate logistic regression resultsHistory of strokeLogistic regression modelsRisk lociAssociation studiesStroke survivorsUK BiobankGenetic informationGenetic ancestryLogistic regression resultsGenetic variantsDeep 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 stroke
2023
Improvement 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 testStroke
2022
One-Year Outcome Trajectories and Factors Associated with Functional Recovery Among Survivors of Intracerebral and Intraventricular Hemorrhage With Initial Severe Disability
Shah VA, Thompson RE, Yenokyan G, Acosta JN, Avadhani R, Dlugash R, McBee N, Li Y, Hansen BM, Ullman N, Falcone G, Awad IA, Hanley DF, Ziai WC. One-Year Outcome Trajectories and Factors Associated with Functional Recovery Among Survivors of Intracerebral and Intraventricular Hemorrhage With Initial Severe Disability. JAMA Neurology 2022, 79: 856-868. PMID: 35877105, PMCID: PMC9316056, DOI: 10.1001/jamaneurol.2022.1991.Peer-Reviewed Original ResearchConceptsSevere intracerebral hemorrhagePhase 3 trialIntracerebral hemorrhageIntraventricular hemorrhagePoor functional outcomeHospital eventsBetter outcomesDay 30Functional recoveryPoor outcomeFunctional outcomeLong-term functional recoverySevere disabilityMultivariable logistic regression modelHealth Stroke ScaleAcute ischemic strokeCerebral perfusion pressureRankin Scale scoreStandard medical careIndividual patient dataOverall mean ageIntracranial pressure monitoringLogistic regression modelsIntraventricular alteplaseMISTIE III
2021
Cerebral Microbleeds and Acute Hematoma Characteristics in the ATACH-2 and MISTIE III Trials
Magid-Bernstein JR, Li Y, Cho SM, Piran PJ, Roh DJ, Gupta A, Shoamanesh A, Merkler A, Zhang C, Avadhani R, Montano N, Iadecola C, Falcone G, Sheth K, Qureshi AI, Rosand J, Goldstein J, Awad I, Hanley D, Kamel H, Ziai WC, Murthy SB. Cerebral Microbleeds and Acute Hematoma Characteristics in the ATACH-2 and MISTIE III Trials. Neurology 2021, 98: e1013-e1020. PMID: 34937780, PMCID: PMC8967392, DOI: 10.1212/wnl.0000000000013247.Peer-Reviewed Original ResearchConceptsSmaller ICH volumeCerebral microbleedsSmall vessel diseaseIntracerebral hemorrhageHematoma expansionHematoma characteristicsICH volumeVessel diseaseNumber of CMBsSmaller baseline hematoma volumesUnderlying small vessel diseasePresence of CMBsCerebral small vessel diseaseAdmission ICH volumeMISTIE III trialPresence of microbleedsClass II evidencePhase 3 trialSeverity of leukoaraiosisPrimary intracerebral hemorrhageBaseline hematoma volumeIndividual patient dataBrain MRI scansLogistic regression modelsAntihypertensive treatmentPrior 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 ageCohortStrokeObstructive Sleep Apnea as a Risk Factor for Intracerebral Hemorrhage
Geer JH, Falcone GJ, Vanent KN, Leasure AC, Woo D, Molano JR, Sansing LH, Langefeld CD, Pisani MA, Yaggi HK, Sheth KN. Obstructive Sleep Apnea as a Risk Factor for Intracerebral Hemorrhage. Stroke 2021, 52: 1835-1838. PMID: 33827242, PMCID: PMC8085039, DOI: 10.1161/strokeaha.120.033342.Peer-Reviewed Original ResearchConceptsObstructive sleep apneaRisk factorsBerlin questionnaireIntracerebral hemorrhageSleep apneaEthnic/Racial VariationsHigher body mass indexMultivariable logistic regression modelBody mass indexIntracerebral hemorrhage riskCase-control studyExposure of patientsLogistic regression analysisLogistic regression modelsOSA statusHemorrhage riskMass indexHeart diseaseNontraumatic ICHRacial variationApneaHemorrhageRegression analysisICHRegression models
2020
Liver Fibrosis Indices and Outcomes After Primary Intracerebral Hemorrhage
Parikh NS, Kamel H, Navi BB, Iadecola C, Merkler AE, Jesudian A, Dawson J, Falcone GJ, Sheth KN, Roh DJ, Elkind MSV, Hanley DF, Ziai WC, Murthy SB, Hanley D, Butcher K, Davis S, Gregson B, Lees K, Lyden P, Mayer S, Muir K, Steiner T. Liver Fibrosis Indices and Outcomes After Primary Intracerebral Hemorrhage. Stroke 2020, 51: 830-837. PMID: 31906832, PMCID: PMC7048169, DOI: 10.1161/strokeaha.119.028161.Peer-Reviewed Original ResearchConceptsPrimary intracerebral hemorrhageNonalcoholic fatty liver disease fibrosis scoreAspartate aminotransferase-platelet ratio indexAminotransferase-platelet ratio indexLiver fibrosis indexIntracerebral hemorrhageAdmission hematoma volumeHematoma volumeHematoma expansionFibrosis-4Fibrosis indexFibrosis scoreLiver diseaseMajor disabilityRatio indexNormal liver chemistriesAdvanced liver diseaseFibrosis-4 scoreRetrospective cohort studyPlatelet ratio indexPoor stroke outcomesSubclinical liver diseaseLogistic regression modelsLiver chemistriesRadiological outcomes
2012
Burden of Risk Alleles for Hypertension Increases Risk of Intracerebral Hemorrhage
Falcone GJ, Biffi A, Devan WJ, Jagiella JM, Schmidt H, Kissela B, Hansen BM, Jimenez-Conde J, Giralt-Steinhauer E, Elosua R, Cuadrado-Godia E, Soriano C, Ayres AM, Schwab K, Pera J, Urbanik A, Rost NS, Goldstein JN, Viswanathan A, Pichler A, Enzinger C, Norrving B, Tirschwell DL, Selim M, Brown DL, Silliman SL, Worrall BB, Meschia JF, Kidwell CS, Montaner J, Fernandez-Cadenas I, Delgado P, Broderick JP, Greenberg SM, Roquer J, Lindgren A, Slowik A, Schmidt R, Flaherty ML, Kleindorfer DO, Langefeld CD, Woo D, Rosand J. Burden of Risk Alleles for Hypertension Increases Risk of Intracerebral Hemorrhage. Stroke 2012, 43: 2877-2883. PMID: 22933587, PMCID: PMC3479325, DOI: 10.1161/strokeaha.112.659755.Peer-Reviewed Original ResearchConceptsRisk of ICHBlood pressure levelsIntracerebral hemorrhageGenetic risk scoreUnweighted genetic risk scoreRisk scoreProspective multicenter case-control studyMulticenter case-control studyHistory of hypertensionLobar intracerebral hemorrhageDeep intracerebral hemorrhagePotent risk factorCase-control studyLogistic regression modelsControl subjectsRisk factorsICH casesHypertensionIncrease riskCumulative burden