2024
Deep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan.
Chen Y, Rivier C, Mora S, Torres 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, 23969873241260154. PMID: 38880882, 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 modelsHemorrhageSecondary Prevention in Patients With Stroke Versus Myocardial Infarction: Analysis of 2 National Cohorts
Rivier C, Acosta J, Leasure A, Forman R, Sharma R, de Havenon A, Spatz E, Inzucchi S, Kernan W, Falcone G, Sheth K. Secondary Prevention in Patients With Stroke Versus Myocardial Infarction: Analysis of 2 National Cohorts. Journal Of The American Heart Association 2024, 13: e033322. PMID: 38639369, PMCID: PMC11179946, DOI: 10.1161/jaha.123.033322.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntihypertensive AgentsBlood PressureCross-Sectional StudiesFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMiddle AgedMyocardial InfarctionPlatelet Aggregation InhibitorsPractice Guidelines as TopicRisk AssessmentRisk FactorsSecondary PreventionStrokeUnited KingdomUnited StatesConceptsMyocardial infarctionPrevention scoreSecondary preventionImplementation of preventive therapyNational cohortUK BiobankAntiplatelet therapy useGuideline-directed therapyPrevention profilesBlood pressure controlAdherence to guideline-directed therapyLow-density lipoprotein controlNeighborhood deprivation levelHistory of strokeVascular risk profileStatin useAntiplatelet useTherapy usePreventive therapyComparison to participantsPrevention criteriaCross-sectional analysisBlood pressurePatientsPressure controlFactors 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 ResearchRadiomics-Based Prediction of Collateral Status from CT Angiography of Patients Following a Large Vessel Occlusion Stroke
Avery E, Abou-Karam A, Abi-Fadel S, Behland J, Mak A, Haider S, Zeevi T, Sanelli P, Filippi C, Malhotra A, Matouk C, Falcone G, Petersen N, Sansing L, Sheth K, Payabvash S. Radiomics-Based Prediction of Collateral Status from CT Angiography of Patients Following a Large Vessel Occlusion Stroke. Diagnostics 2024, 14: 485. PMID: 38472957, PMCID: PMC10930945, DOI: 10.3390/diagnostics14050485.Peer-Reviewed Original ResearchCollateral statusCollateral scoreLarge vessel occlusionAcute LVO strokeRadiomics modelTest cohortCT angiography of patientsAdmission computed tomography angiographyAnterior circulation territoryAngiography of patientsLong-term outcomesReceiver operating characteristic areaRadiomics-based predictionCollateral arterial circulationOperating characteristics areaAdmission CTACirculation territoryCT angiographyClinical outcomesRadiomic featuresTreatment triageOcclusion strokeVessel occlusionPatientsArterial circulationUncertainty-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 riskPatientsCOVID‐19 Infection Is Associated With Poor Outcomes in Patients With Intracerebral Hemorrhage
Renedo D, Leasure A, Young R, Rivier C, Alhanti B, Mac Grory B, Messe S, Reeves M, Hassan A, Schwamm L, de Havenon A, Matouk C, Sheth K, Falcone G. COVID‐19 Infection Is Associated With Poor Outcomes in Patients With Intracerebral Hemorrhage. Journal Of The American Heart Association 2024, 13: e030999. PMID: 38293940, PMCID: PMC11056169, DOI: 10.1161/jaha.123.030999.Peer-Reviewed Original ResearchConceptsOdds of poor outcomeIntracerebral hemorrhageCOVID-19 infectionPoor outcomeHealth care deliverySkilled nursing facilityMultivariate analysisOdds of mortalityConcomitant COVID-19 infectionAssociated with poor outcomesCare deliveryNursing facilitiesPoor functional outcomeCOVID-19OddsICH outcomeImpact of COVID-19No significant differenceObservational studyHemorrhagic strokeWorsen outcomesPatient populationFunctional outcomesStroke dataPatients
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 indexImpact of genetic polymorphisms on the risk of epilepsy amongst patients with acute brain injury: A systematic review
Misra S, Quinn T, Falcone G, Sharma V, de Havenon A, Zhao Y, Eldem E, French J, Yasuda C, Dawson J, Liebeskind D, Kwan P, Mishra N. Impact of genetic polymorphisms on the risk of epilepsy amongst patients with acute brain injury: A systematic review. European Journal Of Neurology 2023, 30: 1791-1800. PMID: 36912749, DOI: 10.1111/ene.15777.Peer-Reviewed Original ResearchConceptsPost-traumatic epilepsyPost-stroke epilepsyTraumatic brain injuryRisk of epilepsySystematic reviewSingle nucleotide polymorphismsBrain injuryOdds ratioRisk of PSERisk of PTEAcute brain injuryGenetic polymorphismsConfidence intervalsAssociation of SNPsQ-Genie toolPSE patientsLate seizuresHazard ratioStroke patientsTBI patientsPrespecified protocolStudy qualityCurrent evidenceEpilepsyPatients
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 declinePortable, low-field magnetic resonance imaging enables highly accessible and dynamic bedside evaluation of ischemic stroke
Yuen MM, Prabhat AM, Mazurek MH, Chavva IR, Crawford A, Cahn BA, Beekman R, Kim JA, Gobeske KT, Petersen NH, Falcone GJ, Gilmore EJ, Hwang DY, Jasne AS, Amin H, Sharma R, Matouk C, Ward A, Schindler J, Sansing L, de Havenon A, Aydin A, Wira C, Sze G, Rosen MS, Kimberly WT, Sheth KN. Portable, low-field magnetic resonance imaging enables highly accessible and dynamic bedside evaluation of ischemic stroke. Science Advances 2022, 8: eabm3952. PMID: 35442729, PMCID: PMC9020661, DOI: 10.1126/sciadv.abm3952.Peer-Reviewed Original ResearchIschemic strokeMagnetic resonance imagingResonance imagingFluid-attenuated inversion recoveryDiffusion-weighted imaging sequencesStroke volume measurementsStroke pathwayStroke severityFunctional outcomeLow-field magnetic resonance imagingBedside evaluationClinical managementStroke volumeMRI studiesStrokePatientsBrain imagingCerebellar structuresHigh-field MRI studiesHyperintense regionsInversion recoveryInfarctsUseful imagingVolume measurementsWORSE VASCULAR RISK FACTOR CONTROL IN PATIENTS WITH STROKE COMPARED TO PATIENTS WITH MYOCARDIAL INFARCTION
Leasure A, Acosta J, Schwartz A, Forman R, Sharma R, de Havenon A, Falcone G, Inzucchi S, Kernan W, Sheth K. WORSE VASCULAR RISK FACTOR CONTROL IN PATIENTS WITH STROKE COMPARED TO PATIENTS WITH MYOCARDIAL INFARCTION. Journal Of The American College Of Cardiology 2022, 79: 1504. DOI: 10.1016/s0735-1097(22)02495-0.Peer-Reviewed Original ResearchBedside detection of intracranial midline shift using portable magnetic resonance imaging
Sheth KN, Yuen MM, Mazurek MH, Cahn BA, Prabhat AM, Salehi S, Shah JT, By S, Welch EB, Sofka M, Sacolick LI, Kim JA, Payabvash S, Falcone GJ, Gilmore EJ, Hwang DY, Matouk C, Gordon-Kundu B, RN AW, Petersen N, Schindler J, Gobeske KT, Sansing LH, Sze G, Rosen MS, Kimberly WT, Kundu P. Bedside detection of intracranial midline shift using portable magnetic resonance imaging. Scientific Reports 2022, 12: 67. PMID: 34996970, PMCID: PMC8742125, DOI: 10.1038/s41598-021-03892-7.Peer-Reviewed Original ResearchConceptsMidline shiftNeuroscience intensive care unitCare measurementYale-New Haven HospitalValuable bedside toolIntensive care unitPoor clinical outcomeBrain-injured patientsMass effectNew Haven HospitalMagnetic resonance imagingClinical outcomesIll patientsCare unitStroke patientsFunctional outcomeBedside toolObservational studyBedside detectionImaging examsPatientsResonance imagingPortable MRIImaging suiteSignificant concordance
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 ageCohortStrokePowassan Meningoencephalitis: A Case Report Highlighting Diagnosis and Management
Pach JJ, Zubair AS, Traner C, Falcone GJ, Dewey JJ, Traner C. Powassan Meningoencephalitis: A Case Report Highlighting Diagnosis and Management. Cureus 2021, 13: e16592. PMID: 34430178, PMCID: PMC8378285, DOI: 10.7759/cureus.16592.Peer-Reviewed Original ResearchLow-Field, Portable Magnetic Resonance Imaging at the Bedside to Assess Brain Injury in Patients with Severe COVID-19 (1349)
Mazurek M, Yuen M, Cahn B, Rosen M, Gobeske K, Gilmore E, Hwang D, Kaddouh F, Kim J, Falcone G, Petersen N, Siner J, Spudich S, Sze G, Kimberly W, Sheth K. Low-Field, Portable Magnetic Resonance Imaging at the Bedside to Assess Brain Injury in Patients with Severe COVID-19 (1349). Neurology 2021, 96 DOI: 10.1212/wnl.96.15_supplement.1349.Peer-Reviewed Original ResearchIntracerebral Hemorrhage with Intraventricular Extension Associated with Loss of Consciousness at Symptom Onset
Witsch J, Falcone GJ, Leasure AC, Matouk C, Endres M, Sansing L, Woo D, Sheth KN. Intracerebral Hemorrhage with Intraventricular Extension Associated with Loss of Consciousness at Symptom Onset. Neurocritical Care 2021, 35: 418-427. PMID: 33479920, PMCID: PMC8578176, DOI: 10.1007/s12028-020-01180-2.Peer-Reviewed Original ResearchConceptsLoss of consciousnessIntraventricular hemorrhageIntracerebral hemorrhageSymptom onsetICH onsetUnfavorable outcomeAdmission Glasgow Coma ScoreAdmission systolic blood pressureOnset of ICHGlasgow Coma ScoreSystolic blood pressureSpontaneous intracerebral hemorrhageAdmission serum glucoseThousand seven hundredVolumetric CT measurementsBackgroundIn patientsComa ScoreBlood pressureMedical chartsICH volumeMental statusSerum glucoseICH casesInclusion criteriaPatientsVessel wall MRI in ruptured cranial dural arteriovenous fistulas
Cord BJ, Renedo D, Santarosa C, Sujijantarat N, Antonios J, Kim JA, Falcone GJ, Sheth KN, Malhotra A, Matouk CC. Vessel wall MRI in ruptured cranial dural arteriovenous fistulas. Interventional Neuroradiology 2021, 27: 553-557. PMID: 33430655, PMCID: PMC8580544, DOI: 10.1177/1591019920988205.Peer-Reviewed Original ResearchConceptsCranial dural arteriovenous fistulasDural arteriovenous fistulaVessel wall MRIArteriovenous fistulaVW-MRIWall enhancementHigh-resolution vessel wall MRIBrain vascular malformationsTime three patientsSpontaneous subarachnoid hemorrhageMultiple intracranial aneurysmsVessel wall enhancementThree patientsVenous ectasiaMacrovascular lesionsSubarachnoid hemorrhageCase reportVascular malformationsBlood productsPreliminary experienceIntracranial aneurysmsFistulaPatientsPresumed siteMRI
2020
Cause of death in spontaneous intracerebral hemorrhage survivors: Multistate longitudinal study.
Kuohn LR, Leasure AC, Acosta JN, Vanent K, Murthy SB, Kamel H, Matouk CC, Sansing LH, Falcone GJ, Sheth KN. Cause of death in spontaneous intracerebral hemorrhage survivors: Multistate longitudinal study. Neurology 2020, 95: e2736-e2745. PMID: 32917797, PMCID: PMC7734723, DOI: 10.1212/wnl.0000000000010736.Peer-Reviewed Original ResearchConceptsCause of deathRecurrent intracranial hemorrhageIntracerebral hemorrhage survivorsAtrial fibrillationICH survivorsIschemic strokeIntracranial hemorrhageSpontaneous intracerebral hemorrhage survivorsMultivariable Cox proportional hazardsCox proportional hazardsLong-term survivalMedian followRespiratory failureHospital readmissionPrimary outcomePrimary diagnosisSpontaneous ICHCardiac diseaseClaims dataMultinomial logistic regressionNontraumatic ICHProportional hazardsAdult survivorsLogistic regressionPatientsThe CSF Diversion via Lumbar Drainage to Treat Dialysis Disequilibrium Syndrome in the Critically Ill Neurological Patient
Hong CS, Wang K, Falcone GJ. The CSF Diversion via Lumbar Drainage to Treat Dialysis Disequilibrium Syndrome in the Critically Ill Neurological Patient. Neurocritical Care 2020, 33: 312-316. PMID: 32378129, PMCID: PMC7223300, DOI: 10.1007/s12028-020-00972-w.Peer-Reviewed Original ResearchMeSH KeywordsAngiography, Digital SubtractionBasal Ganglia HemorrhageBrain EdemaCerebral VentriculitisConfusionCritical IllnessDrainageElectroencephalographyHeadacheHumansHydrocephalusHypotensionIntracranial HypertensionKidney Failure, ChronicLumbosacral RegionMagnetic Resonance ImagingMaleMiddle AgedRenal DialysisSpinal PunctureVasoconstrictor AgentsVentriculostomyDeployment of Portable, Bedside, Low-field Magnetic Resonance Imaging for Evaluation of Stroke Patients (272)
Cahn B, Shah J, Dyvorne H, O’Halloran R, Poole M, Yuen M, Mazurek M, Ward A, Payabvash S, Beekman R, Brown S, Falcone G, Gobeske K, Petersen N, Jasne A, Sharma R, Schindler J, Sansing L, Gilmore E, Wira C, Matouk C, Sze G, Rosen M, Kimberly W, Sheth K. Deployment of Portable, Bedside, Low-field Magnetic Resonance Imaging for Evaluation of Stroke Patients (272). Neurology 2020, 94 DOI: 10.1212/wnl.94.15_supplement.272.Peer-Reviewed Original Research