2024
Emergency Physician-performed Echocardiogram in Non-ST Elevation Acute Coronary Syndrome Patients Requiring Coronary Intervention
Tan T, Wright D, Baloescu C, Lee S, Moore C. Emergency Physician-performed Echocardiogram in Non-ST Elevation Acute Coronary Syndrome Patients Requiring Coronary Intervention. Western Journal Of Emergency Medicine 2024, 0: 9-16. PMID: 38205979, PMCID: PMC10777186, DOI: 10.5811/westjem.60508.Peer-Reviewed Original ResearchConceptsPresence of RWMARegional wall motion abnormalitiesCoronary interventionEmergency departmentEmergency physiciansElevation acute coronary syndrome patientsNew regional wall motion abnormalitiesNon-ST elevation acute coronary syndrome patientsAcute coronary syndrome patientsRetrospective observational cohort studyEarly coronary interventionDiagnostic coronary angiographyCoronary artery bypassCoronary syndrome patientsObservational cohort studyActivation criteriaIdentification of patientsWall motion abnormalitiesCare transthoracic echocardiographyMeeting inclusion criteriaED electrocardiogramArtery bypassSame admissionAdult patientsCohort study
2023
Machine Learning Algorithm Detection of Confluent B-Lines
Baloescu C, Rucki A, Chen A, Zahiri M, Ghoshal G, Wang J, Chew R, Kessler D, Chan D, Hicks B, Schnittke N, Shupp J, Gregory K, Raju B, Moore C. Machine Learning Algorithm Detection of Confluent B-Lines. Ultrasound In Medicine & Biology 2023, 49: 2095-2102. PMID: 37365065, DOI: 10.1016/j.ultrasmedbio.2023.05.016.Peer-Reviewed Original ResearchConceptsConfluent B-linesTwo‐ Versus 8‐Zone Lung Ultrasound in Heart Failure: Analysis of a Large Data Set Using a Deep Learning Algorithm
Baloescu C, Chen A, Varasteh A, Toporek G, McNamara R, Raju B, Moore C. Two‐ Versus 8‐Zone Lung Ultrasound in Heart Failure: Analysis of a Large Data Set Using a Deep Learning Algorithm. Journal Of Ultrasound In Medicine 2023, 42: 2349-2356. PMID: 37255051, DOI: 10.1002/jum.16262.Peer-Reviewed Original ResearchConceptsHeart failureLung ultrasoundBland-Altman plot analysisSubgroup analysisUltrasound protocolMore lung zonesProspective observational studyReal-world clinical useB-linesAdult patientsLung zonesObservational studyClinical useScanning protocolVideo loopsPatientsPlot analysisRate severityUltrasoundAverage severitySeverityScoresTwo- VersusFailureSeverity informationEmergency Department Point‐of‐Care Echocardiography and Lung Ultrasound in Predicting COVID‐19 Severity
Baloescu C, Weingart G, Moore C. Emergency Department Point‐of‐Care Echocardiography and Lung Ultrasound in Predicting COVID‐19 Severity. Journal Of Ultrasound In Medicine 2023, 42: 1841-1850. PMID: 36840721, DOI: 10.1002/jum.16205.Peer-Reviewed Original ResearchConceptsLeft ventricular ejection fractionPleural line abnormalitiesSevere COVID-19Emergency departmentSevere COVIDPOCUS findingsCOVID-19Decreased LVEFEmergency department pointHypoxemic respiratory failureRetrospective cohort studyAdult ED patientsRight ventricular dilationVentricular ejection fractionWeeks of presentationSevere clinical courseCOVID-19 severityLung POCUSRespiratory failureCohort studyCare echocardiographyClinical courseDisease courseEjection fractionHospital admission
2022
Effect of Point-of-Care Ultrasound on Clinical Outcomes in Low-Resource Settings: A Systematic Review
Baloescu C, Parhar A, Liu R, Wanjiku GW. Effect of Point-of-Care Ultrasound on Clinical Outcomes in Low-Resource Settings: A Systematic Review. Ultrasound In Medicine & Biology 2022, 48: 1711-1719. PMID: 35786524, DOI: 10.1016/j.ultrasmedbio.2022.04.221.Peer-Reviewed Original ResearchConceptsResource-limited settingsLow-resource settingsCare ultrasoundPre-specified primary outcomesEffects of POCUSFree-text termsPrimary outcomeClinical outcomesMedical Subject HeadingsPatient outcomesDifferential diagnosisPatient managementObservational studyMethodological qualityClinical utilityHigh riskElectronic databasesSystematic reviewPatient careFinal reviewPatient diagnosisPOCUSDiagnosisValuable interventionText terms
2021
Interobserver Agreement and Correlation of an Automated Algorithm for B‐Line Identification and Quantification With Expert Sonologist Review in a Handheld Ultrasound Device
Moore CL, Wang J, Battisti AJ, Chen A, Fincke J, Wang A, Wagner M, Raju B, Baloescu C. Interobserver Agreement and Correlation of an Automated Algorithm for B‐Line Identification and Quantification With Expert Sonologist Review in a Handheld Ultrasound Device. Journal Of Ultrasound In Medicine 2021, 41: 2487-2495. PMID: 34964489, DOI: 10.1002/jum.15935.Peer-Reviewed Original ResearchConceptsIntraclass correlation coefficientHandheld ultrasound deviceB-linesAdult emergency department patientsPathologic lung conditionsEmergency department patientsUltrasound deviceDepartment patientsLung conditionsClinical studiesInterobserver agreementWeighted KappaUltrasound expertsPatientsCountMultiple settingsKappaUnique subjectsDyspneaParamedic-performed Prehospital Point-of-care Ultrasound for Patients with Undifferentiated Dyspnea: A Pilot Study
Schoeneck JH, Coughlin RF, Baloescu C, Cone DC, Liu RB, Kalam S, Medoro AK, Medoro I, Joseph D, Burns K, Bohrer-Clancy JI, Moore CL. Paramedic-performed Prehospital Point-of-care Ultrasound for Patients with Undifferentiated Dyspnea: A Pilot Study. Western Journal Of Emergency Medicine 2021, 22: 750-755. PMID: 34125056, PMCID: PMC8203026, DOI: 10.5811/westjem.2020.12.49254.Peer-Reviewed Original Research
2020
The cost of waiting: Association of ED boarding with hospitalization costs
Baloescu C, Kinsman J, Ravi S, Parwani V, Sangal RB, Ulrich A, Venkatesh AK. The cost of waiting: Association of ED boarding with hospitalization costs. The American Journal Of Emergency Medicine 2020, 40: 169-172. PMID: 33272871, DOI: 10.1016/j.ajem.2020.10.058.Peer-Reviewed Original ResearchConceptsED boardingHospitalization costsED crowdingHospital spendingHospital care accessMultivariate linear regression analysisED patient volumeCost of careQuality of careEmergency department boardingCross-sectional analysisPublic health crisisED lengthEffective careCare accessHospital levelInpatient bedsED characteristicsLinear regression analysisPatient volumeCareMedicare spendingMultivariate regressionPatientsRegression analysisAutomated Lung Ultrasound B-Line Assessment Using a Deep Learning Algorithm
Baloescu C, Toporek G, Kim S, McNamara K, Liu R, Shaw MM, McNamara RL, Raju BI, Moore CL. Automated Lung Ultrasound B-Line Assessment Using a Deep Learning Algorithm. IEEE Transactions On Ultrasonics Ferroelectrics And Frequency Control 2020, 67: 2312-2320. PMID: 32746183, DOI: 10.1109/tuffc.2020.3002249.Peer-Reviewed Original Research
2018
Diagnostic Imaging in Emergency Medicine: How Much Is Too Much?
Baloescu C. Diagnostic Imaging in Emergency Medicine: How Much Is Too Much? Annals Of Emergency Medicine 2018, 72: 637-643. PMID: 30146444, DOI: 10.1016/j.annemergmed.2018.06.034.Peer-Reviewed Original Research