2022
Protein and miRNA profile of circulating extracellular vesicles in patients with primary sclerosing cholangitis
Povero D, Tameda M, Eguchi A, Ren W, Kim J, Myers R, Goodman Z, Harrison S, Sanyal A, Bosch J, Ohno-Machado L, Feldstein A. Protein and miRNA profile of circulating extracellular vesicles in patients with primary sclerosing cholangitis. Scientific Reports 2022, 12: 3027. PMID: 35194091, PMCID: PMC8863778, DOI: 10.1038/s41598-022-06809-0.Peer-Reviewed Original ResearchConceptsSmall non-coding RNAsExtracellular vesiclesNon-coding RNAsNovel miRNAsControl subjectsFurther molecular characterizationMiRNA sequence analysisLiver-specific markersProtein profilingMiRNA cargoMolecular characterizationHuman diseasesCurrent serum markersNovel surrogate biomarkersPrimary sclerosing cholangitisCholestatic liver diseaseHealthy control subjectsMiRNA profilesProteinCell specificityDifferential centrifugationMiRNAsPSC patientsSclerosing cholangitisLiver disease
2020
No benefit of continuing vs stopping 5‐aminosalicylates in patients with ulcerative colitis escalated to anti‐metabolite therapy
Singh S, Kim J, Zhu W, Dulai P, Sandborn W, Jairath V. No benefit of continuing vs stopping 5‐aminosalicylates in patients with ulcerative colitis escalated to anti‐metabolite therapy. Alimentary Pharmacology & Therapeutics 2020, 52: 481-491. PMID: 32573825, PMCID: PMC8015755, DOI: 10.1111/apt.15876.Peer-Reviewed Original ResearchConceptsAnti-metabolite therapyUlcerative colitisCorticosteroid useRisk of UCCox proportional hazards analysisAdministrative claims databaseEmergency department visitsProportional hazards analysisComorbidity burdenTreatment escalationBiologic therapyAbdominal surgeryDepartment visitsClinical benefitClaims databaseResidual confoundingHigh riskPatientsDisease severityMonotherapyTherapyHospitalisationColitisSurgeryMonths
2019
Patient Perspectives About Decisions to Share Medical Data and Biospecimens for Research
Kim J, Kim H, Bell E, Bath T, Paul P, Pham A, Jiang X, Zheng K, Ohno-Machado L. Patient Perspectives About Decisions to Share Medical Data and Biospecimens for Research. JAMA Network Open 2019, 2: e199550. PMID: 31433479, PMCID: PMC6707015, DOI: 10.1001/jamanetworkopen.2019.9550.Peer-Reviewed Original Research
2017
A Predictive Model for Extended Postanesthesia Care Unit Length of Stay in Outpatient Surgeries
Gabriel R, Waterman R, Kim J, Ohno-Machado L. A Predictive Model for Extended Postanesthesia Care Unit Length of Stay in Outpatient Surgeries. Anesthesia & Analgesia 2017, 124: 1529-1536. PMID: 28079580, DOI: 10.1213/ane.0000000000001827.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsAgedAged, 80 and overAmbulatory Surgical ProceduresAnesthesiaChildChild, PreschoolCritical CareFemaleForecastingHumansHypertensionInfantInfant, NewbornIntensive Care UnitsLength of StayLogistic ModelsMaleMiddle AgedModels, StatisticalObesity, MorbidPostoperative CareRisk FactorsROC CurveYoung AdultConceptsPACU lengthPostanesthesia care unit lengthPrimary anesthesia typePostanesthesia care unitHosmer-Lemeshow testLogistic regression modelsAnesthesia typeMorbid obesityCare unitHL testOutpatient surgeryOutpatient procedureSingle institutionHigher oddsNonsignificant P valuesStayPatientsSurgical specialtiesROC curveGood calibrationCharacteristic curveExcellent discriminationAUC valuesP-valueBackward eliminationExtracellular vesicles released by hepatocytes from gastric infusion model of alcoholic liver disease contain a MicroRNA barcode that can be detected in blood
Eguchi A, Lazaro R, Wang J, Kim J, Povero D, Willliams B, Ho S, Stärkel P, Schnabl B, Ohno‐Machado L, Tsukamoto H, Feldstein A. Extracellular vesicles released by hepatocytes from gastric infusion model of alcoholic liver disease contain a MicroRNA barcode that can be detected in blood. Hepatology 2017, 65: 475-490. PMID: 27639178, PMCID: PMC5407075, DOI: 10.1002/hep.28838.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAnalysis of VarianceAnimalsBiopsy, NeedleCells, CulturedDisease Models, AnimalExtracellular VesiclesFatty Liver, AlcoholicHepatocytesHumansImmunoblottingImmunohistochemistryMiceMicroRNAsMiddle AgedRandom AllocationReal-Time Polymerase Chain ReactionSampling StudiesSeverity of Illness IndexStatistics, NonparametricYoung AdultConceptsBlood extracellular vesiclesLiver injuryExtracellular vesiclesNuclear factor kappa BAlcoholic liver diseaseChronic liver injuryWeeks of infusionBile duct ligationB-cell lymphoma 2Levels of EVsFactor kappa BSteatohepatitis developmentNonalcoholic steatohepatitisLiver diseaseObese miceHepatic macrophagesDuct ligationKappa BMiR-340Cell originLymphoma 2Intragastric infusionMiceMiRNA signatureTime points
2014
Reducing Communication Delays and Improving Quality of Care with a Tuberculosis Laboratory Information System in Resource Poor Environments: A Cluster Randomized Controlled Trial
Blaya J, Shin S, Yagui M, Contreras C, Cegielski P, Yale G, Suarez C, Asencios L, Bayona J, Kim J, Fraser H. Reducing Communication Delays and Improving Quality of Care with a Tuberculosis Laboratory Information System in Resource Poor Environments: A Cluster Randomized Controlled Trial. PLOS ONE 2014, 9: e90110. PMID: 24721980, PMCID: PMC3982951, DOI: 10.1371/journal.pone.0090110.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAntitubercular AgentsClinical Laboratory Information SystemsCommunicationDatabases, FactualDeveloping CountriesFemaleHumansLaboratoriesMaleMedical ErrorsMicrobial Sensitivity TestsMiddle AgedPeruPovertyProportional Hazards ModelsProspective StudiesQuality ImprovementQuality of Health CareResearch DesignTreatment OutcomeTuberculosisTuberculosis, Multidrug-ResistantYoung AdultConceptsIntervention health centersHealth centersDrug susceptibility testLaboratory information systemMDR-TB risk factorsMulti-drug resistant tuberculosisMDR-TB patientsPrimary health centersMain outcome measuresCulture convertCulture conversionResistant tuberculosisRisk factorsPatient outcomesClinical impactOutcome measuresDays less timePatientsPatient treatmentStudy designSusceptibility testsBaseline dataTrialsOnly studyTreatment
2013
Comparison of four prediction models to discriminate benign from malignant vertebral compression fractures according to MRI feature analysis.
Thawait S, Kim J, Klufas R, Morrison W, Flanders A, Carrino J, Ohno-Machado L. Comparison of four prediction models to discriminate benign from malignant vertebral compression fractures according to MRI feature analysis. American Journal Of Roentgenology 2013, 200: 493-502. PMID: 23436836, DOI: 10.2214/ajr.11.7192.Peer-Reviewed Original ResearchAdultAgedAged, 80 and overAlgorithmsCohort StudiesComputer SimulationDiagnosis, DifferentialFemaleFractures, CompressionHumansImage EnhancementImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedModels, BiologicalNeoplasmsPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificitySpinal FracturesYoung Adult