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-19The 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
Computational phenotypes for patients with opioid-related disorders presenting to the emergency department
Taylor R, Gilson A, Schulz W, Lopez K, Young P, Pandya S, Coppi A, Chartash D, Fiellin D, D’Onofrio G. Computational phenotypes for patients with opioid-related disorders presenting to the emergency department. PLOS ONE 2023, 18: e0291572. PMID: 37713393, PMCID: PMC10503758, DOI: 10.1371/journal.pone.0291572.Peer-Reviewed Original ResearchMeSH KeywordsAnalgesics, OpioidEmergency Service, HospitalHumansOpioid-Related DisordersPhenotypeRetrospective StudiesConceptsSubstance use disordersUse disordersED visitsPatient presentationCarlson comorbidity indexOpioid-related diagnosesOpioid-related disordersOne-year survivalRate of medicationOpioid use disorderElectronic health record dataPatient-oriented outcomesYears of ageHealth record dataChronic substance use disordersED returnComorbidity indexAcute overdoseMedical managementClinical entityRetrospective studyEmergency departmentChronic conditionsInclusion criteriaUnique cohortDisparities 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 ResearchMeSH KeywordsAdultAgedCross-Sectional StudiesEmergency Service, HospitalFemaleHumansMaleMedicareMiddle AgedRetrospective StudiesUnited StatesViolenceConceptsHealth 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 deliveryAutomatable end‐of‐life screening for older adults in the emergency department using electronic health records
Haimovich A, Xu W, Wei A, Schonberg M, Hwang U, Taylor R. Automatable end‐of‐life screening for older adults in the emergency department using electronic health records. Journal Of The American Geriatrics Society 2023, 71: 1829-1839. PMID: 36744550, PMCID: PMC10258151, DOI: 10.1111/jgs.18262.Peer-Reviewed Original ResearchMeSH KeywordsAgedCohort StudiesDeathElectronic Health RecordsEmergency Service, HospitalHumansReproducibility of ResultsRetrospective StudiesConceptsAdvance care planningDecision curve analysisLife screeningComorbidity indexCode statusPrognostic modelHealth systemOlder adultsCurve analysisOlder ED patientsPalliative care interventionsObservational cohort studyEmergency department visitsPalliative care servicesElixhauser Comorbidity IndexReceiver-operating characteristic curveIdentification of patientsMultivariable logistic regressionLarge regional health systemLife-limiting illnessRisk older adultsCode status ordersLife Screening ToolMortality predictive modelsElectronic health records
2018
Predicting 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 setModelApplying advanced analytics to guide emergency department operational decisions: A proof-of-concept study examining the effects of boarding
Taylor R, Venkatesh A, Parwani V, Chekijian S, Shapiro M, Oh A, Harriman D, Tarabar A, Ulrich A. Applying advanced analytics to guide emergency department operational decisions: A proof-of-concept study examining the effects of boarding. The American Journal Of Emergency Medicine 2018, 36: 1534-1539. PMID: 29310983, DOI: 10.1016/j.ajem.2018.01.011.Peer-Reviewed Original Research
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
Impact 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 rateDissectionUltrasoundMortalityPhysicians
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