2024
SOFA score performs worse than age for predicting mortality in patients with COVID-19
Sherak R, Sajjadi H, Khimani N, Tolchin B, Jubanyik K, Taylor R, Schulz W, Mortazavi B, Haimovich A. SOFA score performs worse than age for predicting mortality in patients with COVID-19. PLOS ONE 2024, 19: e0301013. PMID: 38758942, PMCID: PMC11101117, DOI: 10.1371/journal.pone.0301013.Peer-Reviewed Original ResearchConceptsCrisis standards of careIn-hospital mortalityIntensive care unitAcademic health systemSequential Organ Failure Assessment scoreCohort of intensive care unitSequential Organ Failure AssessmentStandard of careLogistic regression modelsMortality predictionPredicting in-hospital mortalityHealth systemUnivariate logistic regression modelCrisis standardsDisease morbidityCOVID-19Geriatric End-of-Life Screening Tool Prediction of 6-Month Mortality in Older Patients
Haimovich A, Burke R, Nathanson L, Rubins D, Taylor R, Kross E, Ouchi K, Shapiro N, Schonberg M. Geriatric End-of-Life Screening Tool Prediction of 6-Month Mortality in Older Patients. JAMA Network Open 2024, 7: e2414213. PMID: 38819823, PMCID: PMC11143461, DOI: 10.1001/jamanetworkopen.2024.14213.Peer-Reviewed Original ResearchConceptsElectronic health recordsEmergency departmentObserved mortality rateED encountersEnd-of-Life Screening ToolOlder adultsEnd-of-life preferencesMortality riskIllness criteriaLife-limiting illnessOptimal screening criteriaDays of ED arrivalEHR-based algorithmTertiary care EDLow risk of mortalityHigher mortality riskMortality rateRisk of mortalityHealth recordsReceiver operating characteristic curveIllness diagnosisMain OutcomesED arrivalSerious illnessDemographic subgroupsThe Scope of Multimorbidity in Family Medicine: Identifying Age Patterns Across the Lifespan
Chartash D, Gilson A, Taylor R, Hart L. The Scope of Multimorbidity in Family Medicine: Identifying Age Patterns Across the Lifespan. The Journal Of The American Board Of Family Medicine 2024, 37: 251-260. PMID: 38740476, DOI: 10.3122/jabfm.2023.230221r1.Peer-Reviewed Original ResearchConceptsRates of multimorbidityICD-10 diagnostic codesFamily medicine clinicPresence of multimorbidityHealth care systemCardiometabolic disordersMedical historyStudy periodMultimorbidity rateMultimorbidity indexGroup of diagnosesPatient transitionsFamily medicineGeriatric careRetrospective cohort studyCare systemMental healthMultimorbidityMedicine clinicDiagnostic codesPractical resourcesAlcohol use disorderCohort studyAged 0Age groups
2023
Disparities Associated With Electronic Behavioral Alerts for Safety and Violence Concerns in the Emergency Department
Haimovich A, Taylor R, Chang-Sing E, Brashear T, Cramer L, Lopez K, Wong A. Disparities Associated With Electronic Behavioral Alerts for Safety and Violence Concerns in the Emergency Department. Annals Of Emergency Medicine 2023, 83: 100-107. PMID: 37269262, PMCID: PMC10689576, DOI: 10.1016/j.annemergmed.2023.04.004.Peer-Reviewed Original ResearchConceptsHealth care systemEmergency departmentPatient-level analysisCare systemED visitsLeft-without-being-seenNegative perceptions of patientsElectronic health record dataUnited States health care systemRegional health care systemStates health care systemDiscontinuity of careHealth record dataElectronic health recordsBlack non-Hispanic patientsPerceptions of patientsBlack non-HispanicRetrospective cross-sectional study of adult patientsAdult emergency departmentNon-Hispanic patientsCross-sectional study of adult patientsMixed-effects regression analysisStudy periodRetrospective cross-sectional studyCare delivery
2018
Physical Restraint Use in Adult Patients Presenting to a General Emergency Department
Wong AH, Taylor RA, Ray JM, Bernstein SL. Physical Restraint Use in Adult Patients Presenting to a General Emergency Department. Annals Of Emergency Medicine 2018, 73: 183-192. PMID: 30119940, DOI: 10.1016/j.annemergmed.2018.06.020.Peer-Reviewed Original ResearchConceptsPhysical restraint useEmergency departmentRestraint ordersRestraint usePhysical restraintDrug useRegional health systemManagement of behavioral disordersAdult emergency departmentPrevent self-harmCross-sectional studyPrevalence of agitationCross-sectional study of adult patientsAssociation of alcoholAdult patientsGeneral EDHealth systemED visitsManaging agitationMedical complaintsStudy of adult patientsVulnerable populationsSelf-harmUnique patientsTotal ED visitsPredicting urinary tract infections in the emergency department with machine learning
Taylor RA, Moore CL, Cheung KH, Brandt C. Predicting urinary tract infections in the emergency department with machine learning. PLOS ONE 2018, 13: e0194085. PMID: 29513742, PMCID: PMC5841824, DOI: 10.1371/journal.pone.0194085.Peer-Reviewed Original ResearchConceptsExtreme gradient boostingGradient boostingXGBoost modelLarge diverse setHigh diagnostic error rateMachineAlgorithmXGBoostError rateDiverse setInadequate diagnostic performancePredictive modelSetPrediction toolsDiagnostic error rateBoostingCommon emergency department (ED) diagnosisFull setModel
2017
Agreement Between Serum Assays Performed in ED Point-of-Care and Hospital Central Laboratories
Dashevsky M, Bernstein SL, Barsky CL, Taylor RA. Agreement Between Serum Assays Performed in ED Point-of-Care and Hospital Central Laboratories. Western Journal Of Emergency Medicine 2017, 18: 403-409. PMID: 28435491, PMCID: PMC5391890, DOI: 10.5811/westjem.2017.1.30532.Peer-Reviewed Original ResearchMeSH KeywordsAdultBiological AssayBiomarkersBlood Chemical AnalysisBlood Urea NitrogenCost-Benefit AnalysisCreatinineEmergency Medical ServicesFemaleHumansLaboratories, HospitalMaleMiddle AgedPoint-of-Care SystemsPotassiumQuality Assurance, Health CareReproducibility of ResultsRetrospective StudiesSodiumUnited StatesConceptsHospital central laboratoryBlood urea nitrogenEmergency departmentED patientsCentral laboratoryLevel of agreementBlood samplesClinical information systemsConfidence intervalsLevel I emergency departmentShorter ED lengthPatient/yearHospital's clinical information systemTime-sensitive diagnosisBland-Altman plotsED lengthSerum sodiumClinical criteriaLarge cohortSerum assaysUrea nitrogenClinical judgmentPatientsSerum samplesED point
2016
The Association Between Physician Empathy and Variation in Imaging Use
Melnick ER, O'Brien EG, Kovalerchik O, Fleischman W, Venkatesh AK, Taylor RA. The Association Between Physician Empathy and Variation in Imaging Use. Academic Emergency Medicine 2016, 23: 895-904. PMID: 27343485, PMCID: PMC5884096, DOI: 10.1111/acem.13017.Peer-Reviewed Original ResearchConceptsCT utilizationEmergency physician performanceEmergency physiciansPhysician performanceCT utilization ratesEmergency Department CTPhysician survey respondentsPatient-level variablesCross-sectional studyCohort of physiciansPhysician empathyLarge health systemPsychometric testsMixed effects regression modelsPhysician-based factorsPsychometric scalesSurvey response rateAcademic EDSubset analysisPhysician demographicsHead CTInterphysician variationResponse rateImaging useRTS scoreImpact of point-of-care ultrasonography on ED time to disposition for patients with nontraumatic shock
Hall MK, Taylor RA, Luty S, Allen IE, Moore CL. Impact of point-of-care ultrasonography on ED time to disposition for patients with nontraumatic shock. The American Journal Of Emergency Medicine 2016, 34: 1022-1030. PMID: 26988105, DOI: 10.1016/j.ajem.2016.02.059.Peer-Reviewed Original ResearchConceptsPOC ultrasonographyEmergency departmentNontraumatic shockCare ultrasonographyPropensity scorePropensity score matchElectronic health recordsHospital mortalityShock patientsPrompt diagnosisED arrivalED patientsED physiciansPoint of careRetrospective studyUnique patientsImpact of pointMean reductionPropensity score modelPatientsUltrasonographyED timeDiagnostic ultrasonographyCovariates of timeEvidence of reductionPrediction of In‐hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data–Driven, Machine Learning Approach
Taylor RA, Pare JR, Venkatesh AK, Mowafi H, Melnick ER, Fleischman W, Hall MK. Prediction of In‐hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data–Driven, Machine Learning Approach. Academic Emergency Medicine 2016, 23: 269-278. PMID: 26679719, PMCID: PMC5884101, DOI: 10.1111/acem.12876.Peer-Reviewed Original ResearchConceptsMachine learning approachesElectronic health recordsLearning approachPredictive analyticsMachine learning techniquesRandom forest modelClinical decision support systemBig Data DrivenDecision support systemForest modelLearning techniquesUse casesData-DrivenFacilitate automationTraditional analytic techniquesAnalyticsSupport systemSimple heuristicsNew analyticsHealth recordsSmall setTree modelQuestion of generalizabilityPrediction modelDecision rules
2015
Emergency physician focused cardiac ultrasound improves diagnosis of ascending aortic dissection
Pare JR, Liu R, Moore CL, Sherban T, Kelleher MS, Thomas S, Taylor RA. Emergency physician focused cardiac ultrasound improves diagnosis of ascending aortic dissection. The American Journal Of Emergency Medicine 2015, 34: 486-492. PMID: 26782795, DOI: 10.1016/j.ajem.2015.12.005.Peer-Reviewed Original ResearchMeSH KeywordsAortic Aneurysm, ThoracicAortic DissectionAutopsyDiagnostic ErrorsEchocardiography, TransesophagealEmergency Medical ServicesEmergency MedicineFemaleHumansMaleMedical RecordsMiddle AgedMulticenter Studies as TopicMulti-Institutional SystemsOutcome Assessment, Health CareRetrospective StudiesTime FactorsTomography, X-Ray ComputedConceptsAortic dissectionCardiac ultrasoundEmergency departmentEmergency physiciansAscending aortic dissectionPrimary outcome measureFocus groupsNonspecific presentationED visitsSecondary outcomesAortic dilationMedian timeRetrospective reviewResuscitate statusMedical recordsThoracic aortaDeadly diagnosisOutcome measuresAutopsy reportsPatientsMisdiagnosis rateDissectionUltrasoundMortalityPhysiciansRedefining Overuse to Include Costs: A Decision Analysis for Computed Tomography in Minor Head Injury
Melnick ER, Keegan J, Taylor RA. Redefining Overuse to Include Costs: A Decision Analysis for Computed Tomography in Minor Head Injury. The Joint Commission Journal On Quality And Patient Safety 2015, 41: 313-ap2. PMID: 26108124, DOI: 10.1016/s1553-7250(15)41041-4.Peer-Reviewed Original ResearchConceptsNet monetary benefitCurrent clinical decision rulesMonetary benefitsInclusion of costsCosts outweigh benefitsDecision analysisDecision analytic modelTwo-way sensitivity analysesDecision rulesProbability of lesionCanadian CT Head RuleMain driversOnly effectivenessCostSignificant impactSensitivity analysisCost of CT
2013
Accuracy of emergency physician-performed limited echocardiography for right ventricular strain
Taylor RA, Moore CL. Accuracy of emergency physician-performed limited echocardiography for right ventricular strain. The American Journal Of Emergency Medicine 2013, 32: 371-374. PMID: 24559906, DOI: 10.1016/j.ajem.2013.12.043.Peer-Reviewed Original ResearchConceptsRight ventricular strainRight ventricular dilationRetrospective cohort studyEcho examinationPulmonary embolismCohort studyVentricular strainVentricular dilationLevel of agreementTest characteristicsCommon emergency department (ED) diagnosisConsecutive ED patientsEmergency department diagnosisChest painED patientsLimited echocardiographyED providersMortality rateLimited echoEfficient careModerate agreementEchocardiographyExaminationFocused examinationDilationPoint-of-Care Focused Cardiac Ultrasound for Prediction of Pulmonary Embolism Adverse Outcomes
Taylor RA, Davis J, Liu R, Gupta V, Dziura J, Moore CL. Point-of-Care Focused Cardiac Ultrasound for Prediction of Pulmonary Embolism Adverse Outcomes. Journal Of Emergency Medicine 2013, 45: 392-399. PMID: 23827166, DOI: 10.1016/j.jemermed.2013.04.014.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overEchocardiographyEmergency Service, HospitalFemaleHemorrhageHospital MortalityHumansMaleMiddle AgedPoint-of-Care SystemsPredictive Value of TestsPrognosisPulmonary EmbolismRecurrenceRespiratory InsufficiencyRetrospective StudiesRisk FactorsShockVenous ThromboembolismVentricular Dysfunction, RightConceptsRight ventricular strainHospital adverse outcomesRetrospective chart reviewPulmonary embolismAdverse outcomesEmergency departmentChart reviewCardiac ultrasoundHighest positive likelihood ratioRecurrent venous thromboembolismLow negative likelihood ratioSignificant predictorsEmergency care practitionersFocused cardiac ultrasoundFOCUS examinationPositive likelihood ratioNegative likelihood ratioMajor bleedingLikelihood ratioRespiratory failureVenous thromboembolismTransthoracic echocardiographyHospital admissionIndependent predictorsVentricular strain
2012
Point‐of‐care Focused Cardiac Ultrasound for the Assessment of Thoracic Aortic Dimensions, Dilation, and Aneurysmal Disease
Taylor RA, Oliva I, Van Tonder R, Elefteriades J, Dziura J, Moore CL. Point‐of‐care Focused Cardiac Ultrasound for the Assessment of Thoracic Aortic Dimensions, Dilation, and Aneurysmal Disease. Academic Emergency Medicine 2012, 19: 244-247. PMID: 22288871, DOI: 10.1111/j.1553-2712.2011.01279.x.Peer-Reviewed Original ResearchConceptsThoracic aortic aneurysmAortic dilationThoracic aortic dimensionsCT angiographyTransthoracic echocardiographyAortic dissectionBland-Altman plotsAortic dimensionsEmergency departmentAortic aneurysmEmergency physiciansCardiac ultrasoundPilot studyNinety-two patientsThoracic aorta pathologyFurther prospective studiesThoracic aortic diameterThoracic aortic pathologyRetrospective pilot studySinus of ValsalvaAcademic emergency departmentCTA measurementsFocused cardiac ultrasoundRetrospective pilot analysisReference standard