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 ResearchMeSH KeywordsEmergency Medical ServicesHospitalsHumansIschemic StrokeSocioeconomic FactorsStrokeUnited StatesConceptsEmergency 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
2021
Excess Cerebrovascular Mortality in the United States During the COVID-19 Pandemic
Sharma R, Kuohn LR, Weinberger DM, Warren JL, Sansing LH, Jasne A, Falcone G, Dhand A, Sheth KN. Excess Cerebrovascular Mortality in the United States During the COVID-19 Pandemic. Stroke 2021, 52: 563-572. PMID: 33430638, PMCID: PMC7834664, DOI: 10.1161/strokeaha.120.031975.Peer-Reviewed Original ResearchConceptsEmergency medical servicesCerebrovascular deathCOVID-19 deathsCerebrovascular mortalityCOVID-19 pandemicStroke-related deathCoronavirus disease 2019 (COVID-19) pandemicFirst COVID-19 deathDisease 2019 pandemicPublic health measuresHealth Statistics dataPoisson regression modelsCumulative COVID-19 deathsAcute strokeStroke deathsVascular pathologyEMS callsMedical careHealth measuresNew York CityMortalityDeathMedical servicesWeeksRegression analysis
2020
Stroke Code Presentations, Interventions, and Outcomes Before and During the COVID-19 Pandemic
Jasne AS, Chojecka P, Maran I, Mageid R, Eldokmak M, Zhang Q, Nystrom K, Vlieks K, Askenase M, Petersen N, Falcone GJ, Wira CR, Lleva P, Zeevi N, Narula R, Amin H, Navaratnam D, Loomis C, Hwang DY, Schindler J, Hebert R, Matouk C, Krumholz HM, Spudich S, Sheth KN, Sansing LH, Sharma R. Stroke Code Presentations, Interventions, and Outcomes Before and During the COVID-19 Pandemic. Stroke 2020, 51: 2664-2673. PMID: 32755347, PMCID: PMC7446978, DOI: 10.1161/str.0000000000000347.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overBetacoronavirusBrain IschemiaCohort StudiesComorbidityConnecticutCoronary Artery DiseaseCoronavirus InfectionsCOVID-19DyslipidemiasEmergency Medical ServicesEthnicityFemaleHumansHypertensionIncomeInsurance, HealthIntracranial HemorrhagesMaleMedically UninsuredMiddle AgedOutcome and Process Assessment, Health CarePandemicsPneumonia, ViralRetrospective StudiesSARS-CoV-2Severity of Illness IndexStrokeSubstance-Related DisordersTelemedicineThrombectomyThrombolytic TherapyTime-to-TreatmentConceptsComprehensive stroke centerStroke codePatient characteristicsStroke severityStroke code patientsHistory of hypertensionStroke-like symptomsCoronary artery diseaseCoronavirus disease 2019 (COVID-19) pandemicPatient-level dataLower median household incomePublic health initiativesDisease 2019 pandemicCOVID-19 pandemicRace/ethnicityCode patientsHospital presentationPublic health insuranceRankin ScaleStroke centersArtery diseaseReperfusion timeStroke symptomsEarly outcomesConnecticut hospitals