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
Association of Neighborhood-Level Socioeconomic Factors With Delay to Hospital Arrival in Patients With Acute Stroke
Forman R, Okumu R, Mageid R, Baker A, Neu D, Parker R, Peyravi R, Schindler J, Sansing L, Sheth K, de Havenon A, Jasne A, Narula R, Wira C, Warren J, Sharma R. Association of Neighborhood-Level Socioeconomic Factors With Delay to Hospital Arrival in Patients With Acute Stroke. Neurology 2023, 102: e207764. PMID: 38165368, PMCID: PMC10834135, DOI: 10.1212/wnl.0000000000207764.Peer-Reviewed Original ResearchConceptsEmergency department arrival timesEmergency medical servicesLate presentationAcute ischemic stroke therapyYale-New Haven HospitalGuidelines-Stroke registryNeighborhood-level socioeconomic factorsPatient-level factorsRetrospective observational studyIschemic stroke therapyMixed-effects logistic regression modelNon-white patientsNon-white raceUnivariate logistic regressionNew Haven HospitalLogistic regression modelsHospital presentationTreatment ineligibilityStroke RegistryAcute strokeHospital arrivalStroke therapyUnivariate analysisObservational studyPatients
2022
Acute Ischemic Stroke, Depressed Left Ventricular Ejection Fraction, and Sinus Rhythm: Prevalence and Practice Patterns
Baker AD, Schwamm LH, Sanborn DY, Furie K, Stretz C, Mac Grory B, Yaghi S, Kleindorfer D, Sucharew H, Mackey J, Walsh K, Flaherty M, Kissela B, Alwell K, Khoury J, Khatri P, Adeoye O, Ferioli S, Woo D, Martini S, La Rosa F, Demel SL, Madsen T, Star M, Coleman E, Slavin S, Jasne A, Mistry EA, Haverbusch M, Merkler AE, Kamel H, Schindler J, Sansing LH, Faridi KF, Sugeng L, Sheth KN, Sharma R. Acute Ischemic Stroke, Depressed Left Ventricular Ejection Fraction, and Sinus Rhythm: Prevalence and Practice Patterns. Stroke 2022, 53: 1883-1891. PMID: 35086361, PMCID: PMC10214981, DOI: 10.1161/strokeaha.121.036706.Peer-Reviewed Original ResearchConceptsLeft ventricular ejection fractionAcute ischemic strokeDepressed left ventricular ejection fractionVentricular ejection fractionSinus rhythmIschemic strokeEjection fractionPooled prevalenceHealth Stroke Severity ScaleSecondary stroke prevention strategiesMultivariable logistic regression modelAntithrombotic treatment regimensHospital-based cohortRetrospective cohort studySecondary stroke preventionStroke prevention strategiesMulti-center cohortStroke Severity ScaleLogistic regression modelsEchocardiographic characteristicsHospitalization dischargeAntiplatelet therapyStroke preventionCardiac thrombusCohort study
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 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
2019
Efficacy and safety of minimally invasive surgery with thrombolysis in intracerebral haemorrhage evacuation (MISTIE III): a randomised, controlled, open-label, blinded endpoint phase 3 trial
Hanley D, Thompson R, Rosenblum M, Yenokyan G, Lane K, McBee N, Mayo S, Bistran-Hall A, Gandhi D, Mould W, Ullman N, Ali H, Carhuapoma J, Kase C, Lees K, Dawson J, Wilson A, Betz J, Sugar E, Hao Y, Avadhani R, Caron J, Harrigan M, Carlson A, Bulters D, LeDoux D, Huang J, Cobb C, Gupta G, Kitagawa R, Chicoine M, Patel H, Dodd R, Camarata P, Wolfe S, Stadnik A, Money P, Mitchell P, Sarabia R, Harnof S, Barzo P, Unterberg A, Teitelbaum J, Wang W, Anderson C, Mendelow A, Gregson B, Janis S, Vespa P, Ziai W, Zuccarello M, Awad I, Investigators M, Abdul-Rahim A, Abou-Hamden A, Abraham M, Ahmed A, Alba C, Aldrich E, Altschul D, Amin-Hanjani S, Anderson D, Ansari S, Antezana D, Ardelt A, Arikan F, Baguena M, Baker A, Barrer S, Becker K, Bergman T, Boström A, Braun J, Brindley P, Broaddus W, Brown R, Buki A, Cao B, Cao Y, Carrion-Penagos J, Chalela J, Chang T, Chorro I, Chowdhry S, Corral L, Csiba L, Davies J, Díaz A, Derdeyn C, Diringer M, Dlugash R, Ecker R, Economas T, Enriquez P, Ezer E, Fan Y, Feng H, Franz D, Freeman W, Fusco M, Galicich W, Gelea M, Goldstein J, Gonzalez A, Grabarits C, Greenberg S, Gress D, Gu E, Hall C, Hernandez F, Hoesch R, Hoh B, Houser J, Hu R, Huang Y, Hussain M, Insinga S, Jadhav A, Jaffe J, Jahromi B, Jallo J, James M, James R, Jankowitz B, Jeon E, Jichici D, Jonczak K, Jonker B, Karlen N, Keric N, Kerz T, Knopman J, Koenig C, Krishnamurthy S, Kumar A, Kureshi I, Laidlaw J, Lakhanpal A, Latorre J, Leifer D, Leiphart J, Lenington S, Li Y, Lopez G, Lovick D, Lumenta C, Luo J, Maas M, MacDonald J, MacKenzie L, Madan V, Majkowski R, Major O, Malhorta R, Malkoff M, Mangat H, Maswadeh A, Matouk C, McArthur K, McCaul S, Medow J, Mezey G, Mighty J, Miller D, Mohan K, Muir K, Muñoz L, Nakaji P, Nee A, Nekoovaght-Tak S, Nyquist P, O'Kane R, Okasha M, O'Kelly C, Ostapkovich N, Pandey A, Parry-Jones A, Perla K, Pollack A, Polster S, Pouratian N, Quinn T, Rajajee V, Reddy K, Rehman M, Reimer R, Rincon F, Rybinnik I, Sanchez B, Sansing L, Schneck M, Schuerer L, Schul D, Schweitzer J, Seder D, Seyfried D, Sheth K, Spiotta A, Stechison M, Szabo K, Tamayo G, Tanczos K, Taussky P, Terry J, Testai F, Thomas K, Thompson C, Thompson G, Torner J, Tran H, Tucker K, Ungar L, Varelas P, Vargas N, Vatter H, Venkatasubramanian C, Vermillion K, Vollmer D, Wang Y, Wang Y, Wen J, Whitworth L, Willis B, Wrencher M, Wright S, Xu Y, Yanase L, Yi X, Yu Z, Zomorodi A. Efficacy and safety of minimally invasive surgery with thrombolysis in intracerebral haemorrhage evacuation (MISTIE III): a randomised, controlled, open-label, blinded endpoint phase 3 trial. The Lancet 2019, 393: 1021-1032. PMID: 30739747, PMCID: PMC6894906, DOI: 10.1016/s0140-6736(19)30195-3.Peer-Reviewed Original ResearchConceptsStandard medical care groupMedical care groupStandard medical carePhase 3 trialProportion of patientsSerious adverse eventsSupratentorial intracerebral hemorrhageCare groupIntracerebral hemorrhageMedical careAdverse eventsMRS scoreFunctional outcomeComputer-generated number sequenceModified Rankin Scale scoreInvasive catheter evacuationPrespecified baseline covariatesPrimary efficacy outcomeLarge intracerebral hemorrhageGood functional outcomeRankin Scale scoreNumber of patientsIntracerebral hemorrhage evacuationLogistic regression modelsBlinded endpoint