2019
Use of Mechanical Cardiopulmonary Resuscitation Devices for Out-of-Hospital Cardiac Arrest, 2010-2016
Kahn PA, Dhruva SS, Rhee TG, Ross JS. Use of Mechanical Cardiopulmonary Resuscitation Devices for Out-of-Hospital Cardiac Arrest, 2010-2016. JAMA Network Open 2019, 2: e1913298. PMID: 31617923, PMCID: PMC6806423, DOI: 10.1001/jamanetworkopen.2019.13298.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsAgedAged, 80 and overBlack or African AmericanCardiopulmonary ResuscitationCross-Sectional StudiesDatabases, FactualEmergency Medical ServicesFemaleHispanic or LatinoHumansIncomeMaleMiddle AgedNew EnglandOut-of-Hospital Cardiac ArrestRetrospective StudiesSex FactorsSuburban Health ServicesWhite PeopleYoung AdultConceptsHospital cardiac arrestMechanical cardiopulmonary resuscitationMechanical CPR deviceAdjusted odds ratioCardiac arrestCardiopulmonary resuscitationManual cardiopulmonary resuscitationCPR deviceOdds ratioNational Emergency Medical Services Information System dataUse of CPRRetrospective cross-sectional studyMechanical cardiopulmonary resuscitation devicesEMS professionalsRisk-standardized ratesPatient demographic characteristicsPrior clinical trialsCross-sectional studyEvidence of benefitCardiopulmonary resuscitation devicesEmergency medical services (EMS) professionalsNortheast census regionMultivariable analysisClinical trialsPrehospital setting
2018
Emergency Department Volume and Outcomes for Patients After Chest Pain Assessment
Ko DT, Dattani ND, Austin PC, Schull MJ, Ross JS, Wijeysundera HC, Tu JV, Eberg M, Koh M, Krumholz HM. Emergency Department Volume and Outcomes for Patients After Chest Pain Assessment. Circulation Cardiovascular Quality And Outcomes 2018, 11: e004683. PMID: 30354285, DOI: 10.1161/circoutcomes.118.004683.Peer-Reviewed Original ResearchConceptsAcute coronary syndromeChest painHigh-volume EDsCoronary syndromeED volumeVolume thresholdCardiac medication useChest pain assessmentLower adverse outcomesEmergency department visitsAdjusted odds ratioPopulation-based dataProcess of carePotential confounding variablesHigher ED volumesHierarchical logistic regression modelsLogistic regression modelsEmergency department volumeCause deathCardiac testingComposite outcomeDepartment visitsDiabetes mellitusMedication usePrimary outcome