2025
Spatial Correlates of Dementia and Disability After Intracerebral Hemorrhage.
Chen Y, Rivier C, Mora S, Torres Lopez V, Payabvash S, Sheth K, Harloff A, Falcone G, Rosand J, Mayerhofer E, Anderson C. Spatial Correlates of Dementia and Disability After Intracerebral Hemorrhage. Journal Of The American Heart Association 2025, 14: e037930. PMID: 39921496, DOI: 10.1161/jaha.124.037930.Peer-Reviewed Original ResearchConceptsFollow-up telephone interviewsElectronic health recordsAssociated with disabilityAssociated with dementiaDevelopment of dementiaDevelopment of disabilityIncident dementiaAssociated with intracerebral hemorrhageIntracerebral hemorrhageHealth recordsTelephone interviewsDementia conversionCohort studyDementiaDisabilityLobar intracerebral hemorrhageIntracerebral hemorrhage locationIntracerebral hemorrhagic lesionsFunctional outcomesNoncontrast computed tomography scanCohortMedian follow-up timeRight posterior limbOutcomesLeft temporo-occipital regionOptimal Magnitude of Blood Pressure Reduction and Hematoma Growth and Functional Outcomes in Intracerebral Hemorrhage
Li Q, Lv X, Morotti A, Qureshi A, Dowlatshahi D, Falcone G, Sheth K, Shoamanesh A, Murthy S, Viswanathan A, Goldstein J. Optimal Magnitude of Blood Pressure Reduction and Hematoma Growth and Functional Outcomes in Intracerebral Hemorrhage. Neurology 2025, 104: e213412. PMID: 39913881, PMCID: PMC11803522, DOI: 10.1212/wnl.0000000000213412.Peer-Reviewed Original ResearchConceptsSystolic blood pressure reductionSystolic blood pressureMagnitude of blood pressure reductionATACH-2 trialHematoma expansionMagnitude of SBP reductionAcute kidney injuryATACH-2Blood pressure reductionIntracerebral hemorrhageMm HgSBP reductionPost hoc analysisFunctional outcomesHematoma growthAntihypertensive Treatment of Acute Cerebral Hemorrhage 2Poor outcomeHoc analysisMedian hematoma volumeModified Rankin Scale scoreSevere intracerebral hemorrhagePressure reductionMultivariable logistic regression assessed associationsRisk of poor outcomesAdmission systolic blood pressureImproving the Robustness of Deep-Learning Models in Predicting Hematoma Expansion from Admission Head CT.
Tran A, Karam G, Zeevi D, Qureshi A, Malhotra A, Majidi S, Murthy S, Park S, Kontos D, Falcone G, Sheth K, Payabvash S. Improving the Robustness of Deep-Learning Models in Predicting Hematoma Expansion from Admission Head CT. American Journal Of Neuroradiology 2025, ajnr.a8650. PMID: 39794133, DOI: 10.3174/ajnr.a8650.Peer-Reviewed Original ResearchFast Gradient Sign MethodDeep learning modelsRobustness of deep learning modelsAdversarial attacksAdversarial imagesAdversarial trainingSign MethodModel robustnessDeploying deep learning modelsDeep learning model performanceConvolutional neural networkImprove model robustnessAcute intracerebral hemorrhageHematoma expansionMulti-threshold segmentationReceiver operating characteristicIntracerebral hemorrhageGradient descentType attacksData perturbationNeural networkProjected GradientTraining setAntihypertensive Treatment of Acute Cerebral HemorrhageThreshold-based segmentation
2024
Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography
Tran A, Desser D, Zeevi T, Karam G, Zietz J, Dell’Orco A, Chen M, Malhotra A, Qureshi A, Murthy S, Majidi S, Falcone G, Sheth K, Nawabi J, Payabvash S. Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography. Applied Sciences 2024, 15: 111. PMID: 40046237, PMCID: PMC11882137, DOI: 10.3390/app15010111.Peer-Reviewed Original ResearchIntracerebral hemorrhageHematoma expansionFollow-up CT scansFollow-up head computed tomographyPredictors of poor outcomeDeep learning classification modelFollow-up scansHead computed tomographyFalse-negative resultsHematoma segmentationAutomated segmentationMulticentre cohortCT scanValidation cohortPoor outcomeComputed tomographyFollow-upClassification modelOptimizational methodHematomaAnnotationMachine Learning Models for 3-Month Outcome Prediction Using Radiomics of Intracerebral Hemorrhage and Perihematomal Edema from Admission Head Computed Tomography (CT)
Dierksen F, Sommer J, Tran A, Lin H, Haider S, Maier I, Aneja S, Sanelli P, Malhotra A, Qureshi A, Claassen J, Park S, Murthy S, Falcone G, Sheth K, Payabvash S. Machine Learning Models for 3-Month Outcome Prediction Using Radiomics of Intracerebral Hemorrhage and Perihematomal Edema from Admission Head Computed Tomography (CT). Diagnostics 2024, 14: 2827. PMID: 39767188, PMCID: PMC11674633, DOI: 10.3390/diagnostics14242827.Peer-Reviewed Original ResearchIntegrated discrimination indexNet reclassification indexPerihematomal edemaHead computed tomographyIntracerebral hemorrhageComputed tomographyClinical variablesClinical predictors of poor outcomeOutcome predictionAcute supratentorial intracerebral hemorrhageAdmission head computed tomographyRadiomic featuresNon-contrast head computed tomographyPredictors of poor outcomeModified Rankin Scale scoreIntracerebral hemorrhage scoreSupratentorial intracerebral hemorrhageIntracerebral hemorrhage patientsClinical risk factorsRankin Scale scoreReceiver operating characteristic areaOperating characteristics areaSecondary brain injuryHematoma evacuationPatient selectionA Hybrid Transformer-Convolutional Neural Network for Segmentation of Intracerebral Hemorrhage and Perihematomal Edema on Non-Contrast Head Computed Tomography (CT) with Uncertainty Quantification to Improve Confidence
Tran A, Desser D, Zeevi T, Abou Karam G, Dierksen F, Dell'Orco A, Kniep H, Hanning U, Fiehler J, Zietz J, Sanelli P, Malhotra A, Duncan J, Aneja S, Falcone G, Qureshi A, Sheth K, Nawabi J, Payabvash S. A Hybrid Transformer-Convolutional Neural Network for Segmentation of Intracerebral Hemorrhage and Perihematomal Edema on Non-Contrast Head Computed Tomography (CT) with Uncertainty Quantification to Improve Confidence. Bioengineering 2024, 11: 1274. PMID: 39768092, PMCID: PMC11672977, DOI: 10.3390/bioengineering11121274.Peer-Reviewed Original ResearchNon-contrast head computed tomographyPerihematomal edemaHead computed tomographyIntracerebral hemorrhageComputed tomographyVolume similarityUniversity Medical Center Hamburg-EppendorfSecondary brain injuryYale cohortInfratentorial locationMulticentre trialCT scanTreatment planningNon-contrastHamburg-EppendorfImaging markersHemorrhagic strokeHemorrhageEdemaCohortBrain injuryDice coefficientSex Modifies the Severity and Outcome of Spontaneous Intracerebral Hemorrhage
Rivier C, Renedo D, Marini S, Magid‐Bernstein J, de Havenon A, Rosand J, Hanley D, Ziai W, Mayer S, Woo D, Sansing L, Sheth K, Anderson C, Falcone G. Sex Modifies the Severity and Outcome of Spontaneous Intracerebral Hemorrhage. Annals Of Neurology 2024, 97: 232-241. PMID: 39499118, DOI: 10.1002/ana.27123.Peer-Reviewed Original ResearchRisk of hematoma expansionHighest risk of hematoma expansionRisk of poor outcomesIntracerebral hemorrhageHematoma expansionHigh riskMale sexPoor outcomeOutcome of spontaneous intracerebral hemorrhageClinical characteristics of patientsStudies of intracerebral hemorrhageNon-traumatic intracerebral hemorrhageIndividual patient data meta-analysisPatient data meta-analysisSpontaneous intracerebral hemorrhageSingle-center studyIntracerebral hemorrhage patientsHigh risk of expansionCharacteristics of patientsIntracerebral hemorrhage severityPoor functional outcomeRandomized clinical trialsData meta-analysisHemorrhage volumeClinical characteristicsDoor-In-Door-Out Times at Referring Hospitals and Outcomes of Hemorrhagic Stroke
Royan R, Ayodele I, Stamm B, Alhanti B, Sheth K, Pruitt P, Mac Grory B, Meurer W, Prabhakaran S. Door-In-Door-Out Times at Referring Hospitals and Outcomes of Hemorrhagic Stroke. Annals Of Emergency Medicine 2024, 85: 132-143. PMID: 39453306, DOI: 10.1016/j.annemergmed.2024.09.002.Peer-Reviewed Original ResearchDoor-in-door-out timeDoor-in-door-outAssociated with greater oddsEmergency departmentHemorrhagic strokeGreater oddsUnadjusted analysisGuidelines-Stroke participating hospitalsInhospital mortalityCare of patientsObservational cohort studyIntracerebral hemorrhageDIDO timeReceiving hospitalInterhospital transferIndependent ambulationRegistry dataSubarachnoid hemorrhageTime of transferCohort studySecondary outcomesEffect sizePrimary outcomeUS registry dataOddsEndovascular thrombectomy versus medical management for patients with large vessel stroke and infective endocarditis
Chen H, Colasurdo M, Khunte M, Malhotra A, Gandhi D. Endovascular thrombectomy versus medical management for patients with large vessel stroke and infective endocarditis. Journal Of NeuroInterventional Surgery 2024, jnis-2024-022374. PMID: 39317440, DOI: 10.1136/jnis-2024-022374.Peer-Reviewed Original ResearchEfficacy of endovascular thrombectomyLarge vessel occlusionInfective endocarditisPropensity score matchingIntracerebral hemorrhageSubarachnoid hemorrhageMedical managementMultivariable adjustmentOdds of intracerebral hemorrhageEndovascular thrombectomyHome dischargeRate of intracerebral hemorrhageFavorable hospital outcomesRate of in-hospital deathAssociated with significantly higher oddsLarge vessel occlusion strokeIn-hospital mortalityRoutine home dischargeIn-hospital deathRate of subarachnoid hemorrhageRate of home dischargeSignificantly higher oddsRate of routine dischargePrimary outcomeSecondary outcomesTemporal Trends and Racial Disparities in Long-Term Survival After Stroke
Robinson D, Ding L, Howard G, Stanton R, Khoury J, Sucharew H, Haverbusch M, Nobel L, Khatri P, Adeoye O, Broderick J, Ferioli S, Mackey J, Woo D, Rios La Rosa F, Flaherty M, Slavin S, Star M, Martini S, Demel S, Walsh K, Coleman E, Jasne A, Mistry E, Kleindorfer D, Kissela B. Temporal Trends and Racial Disparities in Long-Term Survival After Stroke. Neurology 2024, 103: e209653. PMID: 39008784, PMCID: PMC11249510, DOI: 10.1212/wnl.0000000000209653.Peer-Reviewed Original ResearchConceptsPremorbid functional statusFunctional statusRacial disparitiesAcute ischemic strokeBlack individualsPopulation-based stroke studyBlack raceEffect of black raceNational Death IndexAssociated with 5-year mortalityBaseline functional statusAcute ischemic stroke casesRisk of deathPhysician adjudicationIntracerebral hemorrhageDeath IndexIntracerebral hemorrhage casesUS populationICD codesGeneral populationCalendar yearLogistic regressionModified Rankin ScaleStroke StudyMedical recordsDeep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan
Chen Y, Rivier C, Mora S, 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, 10: 225-235. PMID: 38880882, PMCID: PMC11569453, 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 modelsHemorrhagePrognostic biomarkers of intracerebral hemorrhage identified using targeted proteomics and machine learning algorithms
Misra S, Kawamura Y, Singh P, Sengupta S, Nath M, Rahman Z, Kumar P, Kumar A, Aggarwal P, Srivastava A, Pandit A, Mohania D, Prasad K, Mishra N, Vibha D. Prognostic biomarkers of intracerebral hemorrhage identified using targeted proteomics and machine learning algorithms. PLOS ONE 2024, 19: e0296616. PMID: 38829877, PMCID: PMC11146689, DOI: 10.1371/journal.pone.0296616.Peer-Reviewed Original ResearchConceptsIntracerebral hemorrhagePoor outcomePrognostic biomarker of ICHBiomarker of intracerebral hemorrhageHazard ratioOdds ratioShort-term poor outcomePrognostic of patient outcomeMMP-2Multivariate Cox regression modelICH prognosisInternal validation of prediction modelsModified Rankin Scale scoreIntracerebral hemorrhage patientsRankin Scale scoreUCH-L1Confidence intervalsCox regression modelsMultivariate logistic regressionProtein biomarkersIGFBP-3Regression modelsPrognostic outcomesSerum biomarkersClinical variablesUpdated safety results from phase 3 lecanemab study in early Alzheimer’s disease
Honig L, Sabbagh M, van Dyck C, Sperling R, Hersch S, Matta A, Giorgi L, Gee M, Kanekiyo M, Li D, Purcell D, Dhadda S, Irizarry M, Kramer L. Updated safety results from phase 3 lecanemab study in early Alzheimer’s disease. Alzheimer's Research & Therapy 2024, 16: 105. PMID: 38730496, PMCID: PMC11084061, DOI: 10.1186/s13195-024-01441-8.Peer-Reviewed Original ResearchConceptsOpen-label extensionInfusion-related reactionsIntracerebral hemorrhageAdverse eventsAmyloid-related imaging abnormalitiesARIA-HParallel-group studyClinical laboratory parametersMonths of treatmentMild-to-moderateMagnetic resonance imagingHomozygous participantsAPOE e4 carriersDouble-blindPlacebo-controlledLaboratory parametersStudy treatmentARIA-E.Imaging abnormalitiesOptimal patient carePhysical examinationSafety resultsClinical trialsHemosiderin depositionResonance imaging2024 AHA/ASA Performance and Quality Measures for Spontaneous Intracerebral Hemorrhage: A Report From the American Heart Association/American Stroke Association
Ruff I, de Havenon A, Bergman D, Dugue R, Frontera J, Goldstein J, Hemphill J, Marulanda-Londono E, Prabhakaran S, Richards C, Sunmonu N, Vilar P, Wolfe S. 2024 AHA/ASA Performance and Quality Measures for Spontaneous Intracerebral Hemorrhage: A Report From the American Heart Association/American Stroke Association. Stroke 2024, 55: e199-e230. PMID: 38695183, DOI: 10.1161/str.0000000000000464.Peer-Reviewed Original ResearchAmerican Heart Association/American Stroke AssociationStroke AssociationQuality measuresPosthospital settingPatient careStroke expertsData collectionWorking GroupPerformance measuresSpontaneous intracerebral hemorrhageAmericanGuidelinesIntracerebral hemorrhageAssociationPrehospitalCareAHA/ASAPotential challengesInterventionRadiomic 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-ICHExternal validation of the SI2NCAL2C score for outcomes following cerebral venous thrombosis
Klein P, Shu L, Lindgren E, de Winter M, Siegler J, Simpkins A, Omran S, Heldner M, de Havenon A, Abdalkader M, Al Kasab S, Stretz C, Wu T, Wilson D, Asad S, Almallouhi E, Frontera J, Kuohn L, Rothstein A, Bakradze E, Henninger N, Zubair A, Sharma R, Kerrigan D, Aziz Y, Mistry E, van Kammen M, Tatlisumak T, Krzywicka K, Aguiar de Sousa D, Jood K, Field T, Yaghi S, Coutinho J, Nguyen T. External validation of the SI2NCAL2C score for outcomes following cerebral venous thrombosis. Journal Of Stroke And Cerebrovascular Diseases 2024, 33: 107720. PMID: 38614162, DOI: 10.1016/j.jstrokecerebrovasdis.2024.107720.Peer-Reviewed Original ResearchConceptsCerebral venous thrombosisArea under the receiver operating characteristic curvePoor outcomeVenous thrombosisCentral nervous system infectionInternational retrospective studyNervous system infectionExternal validation cohortFocal neurological deficitsReceiver operating characteristic curvePoor outcome dataLevels of hemoglobinLack of follow-upPoorer outcome scoresConsecutive patientsClinical presentationRetrospective studyValidation cohortIntracerebral hemorrhageNeurological deficitsFollow-upOutcome scoresSystemic infectionLevels of glucoseInternational cohortChronic 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 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 ResearchDisparities in Healthcare Interactions After Intracerebral Hemorrhage: Evidence from the REDUCE Trial (P3-5.020)
Zabinska J, Taylor C, Peasley E, Lalwani D, Schwartz A, Falcone G, Sansing L, Arora R, Mena-Hurtado C, De Havenon A, Okpala M, Bushnell C, Mullen M, Cohen J, Cohen D, Messe S, Forman R, Sheth K. Disparities in Healthcare Interactions After Intracerebral Hemorrhage: Evidence from the REDUCE Trial (P3-5.020). Neurology 2024, 102 DOI: 10.1212/wnl.0000000000206241.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 Research
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply