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
2021
Predictive Analytics for Glaucoma Using Data From the All of Us Research Program
Baxter S, Saseendrakumar B, Paul P, Kim J, Bonomi L, Kuo T, Loperena R, Ratsimbazafy F, Boerwinkle E, Cicek M, Clark C, Cohn E, Gebo K, Mayo K, Mockrin S, Schully S, Ramirez A, Ohno-Machado L, Investigators A. Predictive Analytics for Glaucoma Using Data From the All of Us Research Program. American Journal Of Ophthalmology 2021, 227: 74-86. PMID: 33497675, PMCID: PMC8184631, DOI: 10.1016/j.ajo.2021.01.008.Peer-Reviewed Original ResearchConceptsGlaucoma surgeryPrimary open-angle glaucomaOphthalmic researchSingle-center cohortElectronic health record dataMultivariable logistic regressionSingle-center dataOpen-angle glaucomaHealth record dataMean ageClaims dataUs Research ProgramLogistic regressionSurgeryRecord dataOphthalmic imagingCharacteristic curveExternal validationGlaucomaCohortAUCSingle-center model
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 eliminationA risk prediction score for acute kidney injury in the intensive care unit
Malhotra R, Kashani K, Macedo E, Kim J, Bouchard J, Wynn S, Li G, Ohno-Machado L, Mehta R. A risk prediction score for acute kidney injury in the intensive care unit. Nephrology Dialysis Transplantation 2017, 32: 814-822. PMID: 28402551, DOI: 10.1093/ndt/gfx026.Peer-Reviewed Original ResearchConceptsAcute kidney injuryIntensive care unitAcute risk factorsRisk score modelICU admissionKidney injuryCare unitValidation cohortKidney diseaseRisk factorsTest cohortTreatment of AKIAtherosclerotic coronary vascular diseaseMulticenter prospective cohort studyGlobal Outcomes criteriaChronic kidney diseaseHigh-risk patientsProspective cohort studyChronic liver diseaseCongestive heart failureTime of screeningCoronary vascular diseaseRisk prediction scoreEarly therapeutic interventionExternal validation cohortExtracellular 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
2015
Safety and efficacy of pharmacological thromboprophylaxis for hospitalized patients with cirrhosis: a single‐center retrospective cohort study
Shatzel J, Dulai P, Harbin D, Cheung H, Reid T, Kim J, James S, Khine H, Batman S, Whyman J, Dickson R, Ornstein D. Safety and efficacy of pharmacological thromboprophylaxis for hospitalized patients with cirrhosis: a single‐center retrospective cohort study. Journal Of Thrombosis And Haemostasis 2015, 13: 1245-1253. PMID: 25955079, PMCID: PMC6658183, DOI: 10.1111/jth.13000.Peer-Reviewed Original ResearchMeSH KeywordsAcademic Medical CentersAgedAnticoagulantsDrug Administration ScheduleFemaleGastrointestinal HemorrhageHeparin, Low-Molecular-WeightHospitalizationHumansLength of StayLiver CirrhosisMaleMiddle AgedNew HampshireOdds RatioRetrospective StudiesRisk FactorsTertiary Care CentersTime FactorsTreatment OutcomeVenous ThromboembolismConceptsLow molecular weight heparinHospital bleeding eventsRetrospective cohort studyMolecular weight heparinVTE prophylaxisVenous thromboembolismBleeding eventsPharmacological thromboprophylaxisCirrhotic patientsCohort studyUnfractionated heparinWeight heparinSingle-center retrospective cohort studyEnd-stage liver disease (MELD) scoreAcademic tertiary care referral centerRate of VTETertiary care referral centerRisk of VTEGastrointestinal bleeding eventsHospitalized cirrhotic patientsNew VTE eventsPharmacological VTE prophylaxisLiver Disease scoreHospital bleedingVTE events
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
2010
Positive predictive value of CT urography in the evaluation of upper tract urothelial cancer.
Sadow C, Wheeler S, Kim J, Ohno-Machado L, Silverman S. Positive predictive value of CT urography in the evaluation of upper tract urothelial cancer. American Journal Of Roentgenology 2010, 195: w337-43. PMID: 20966298, DOI: 10.2214/ajr.09.4147.Peer-Reviewed Original ResearchConceptsUpper tract urothelial cancerPositive predictive valueUrothelial cancerUrine cytologyCT urographyPredictive valueUrographic examinationUrothelial thickeningExact testUpper tract urothelial malignanciesMultivariate logistic regression analysisPositive urine cytologyRecords of patientsSignificant univariate predictorsLogistic regression analysisFisher's exact testT-testStudent's t-testEffect of ageFollowup imagingRetrospective reviewPathologic examinationUrothelial malignancyUnivariate predictorsMimic cancer