2022
Epidemiology of atrial fibrillation in the All of Us Research Program
Alonso A, Alam A, Kamel H, Subbian V, Qian J, Boerwinkle E, Cicek M, Clark C, Cohn E, Gebo K, Loperena-Cortes R, Mayo K, Mockrin S, Ohno-Machado L, Schully S, Ramirez A, Greenland P. Epidemiology of atrial fibrillation in the All of Us Research Program. PLOS ONE 2022, 17: e0265498. PMID: 35294480, PMCID: PMC8926244, DOI: 10.1371/journal.pone.0265498.Peer-Reviewed Original ResearchConceptsAtrial fibrillationNon-Hispanic whitesUs Research ProgramRisk factorsEpidemiology of AFIncidence of AFPresence of AFHigher body mass indexStudy of AFClinical risk factorsIncident atrial fibrillationCoronary heart diseaseBody mass indexElectronic health record dataMedical history dataMedical history surveyNon-Hispanic blacksHealth record dataAvailable EHR dataNon-Hispanic AsiansHeart failureStudy enrollmentMass indexEligible participantsMean age
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
2020
Engaging heart failure patients from a clinical data research network: A survey on willingness to participate in different types of research.
Choi Y, López J, Meeker D, Ohno-Machado L, Kim K. Engaging heart failure patients from a clinical data research network: A survey on willingness to participate in different types of research. AMIA Annual Symposium Proceedings 2020, 2019: 305-312. PMID: 32308823, PMCID: PMC7153117.Peer-Reviewed Original ResearchConceptsClinical Data Research NetworkHeart failure patientsLarge cohort studyResearch participationResearch NetworkCohort studyFailure patientsOne-time surveyPatient cohortObservational studyPatient motivationWeight controlSignificant associationClinical researchPatientsPrecision medicineHealth dataRecruitment effortsNational effortsActivity interestsSurgeryCohort
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 ResearchMachine Learning-Based Predictive Modeling of Surgical Intervention in Glaucoma Using Systemic Data From Electronic Health Records
Baxter S, Marks C, Kuo T, Ohno-Machado L, Weinreb R. Machine Learning-Based Predictive Modeling of Surgical Intervention in Glaucoma Using Systemic Data From Electronic Health Records. American Journal Of Ophthalmology 2019, 208: 30-40. PMID: 31323204, PMCID: PMC6888922, DOI: 10.1016/j.ajo.2019.07.005.Peer-Reviewed Original ResearchConceptsPrimary open-angle glaucomaElectronic health recordsMultivariable logistic regressionSurgical interventionGlaucoma surgeryPOAG patientsSystemic dataHigher mean systolic blood pressureMean systolic blood pressureNon-opioid analgesic medicationsLogistic regressionCertain medication classesEye-specific dataHealth recordsRisk of progressionSystolic blood pressureOpen-angle glaucomaSingle academic institutionAnti-hyperlipidemic medicationsAnalgesic medicationMedication classesProgressive diseaseBlood pressureCalcium blockersOphthalmic medicationsTime Requirements of Paper-Based Clinical Workflows and After-Hours Documentation in a Multispecialty Academic Ophthalmology Practice
Baxter S, Gali H, Huang A, Millen M, El-Kareh R, Nudleman E, Robbins S, Heichel C, Camp A, Korn B, Lee J, Kikkawa D, Longhurst C, Chiang M, Hribar M, Ohno-Machado L. Time Requirements of Paper-Based Clinical Workflows and After-Hours Documentation in a Multispecialty Academic Ophthalmology Practice. American Journal Of Ophthalmology 2019, 206: 161-167. PMID: 30910517, PMCID: PMC6755078, DOI: 10.1016/j.ajo.2019.03.014.Peer-Reviewed Original ResearchConceptsPatient encountersNew patient evaluationsClinical workflowElectronic health record useOutpatient ophthalmology clinicHigh clinical volumeAcademic ophthalmology departmentsAcademic ophthalmology practicePaper-based documentationAge 43.9Postoperative visitRoutine followClinic hoursOphthalmology clinicOphthalmology departmentPatient evaluationOphthalmology practiceOutcome measurementsPatientsPatient careHours workRecord useOphthalmologistsClinical volumeTotal time
2018
Obesity Is Independently Associated With Higher Annual Burden and Costs of Hospitalization in Patients With Inflammatory Bowel Diseases
Nguyen N, Ohno-Machado L, Sandborn W, Singh S. Obesity Is Independently Associated With Higher Annual Burden and Costs of Hospitalization in Patients With Inflammatory Bowel Diseases. Clinical Gastroenterology And Hepatology 2018, 17: 709-718.e7. PMID: 30012429, DOI: 10.1016/j.cgh.2018.07.004.Peer-Reviewed Original ResearchConceptsNon-obese patientsInflammatory bowel diseaseNationwide Readmissions Database 2013Cost of hospitalizationBowel diseaseObese patientsAnnual burdenPropensity scoreHospitalization-related costsOutcomes of hospitalizationRepresentative cohort studyHigh-cost patientsCardiopulmonary complicationsIBD patientsAdjunctive therapyCohort studyIBD phenotypePreventable admissionsHigh burdenPatientsHospitalizationObesityAbstractTextObeseInconsistent associationsInfections and Cardiovascular Complications are Common Causes for Hospitalization in Older Patients with Inflammatory Bowel Diseases
Nguyen N, Ohno-Machado L, Sandborn W, Singh S. Infections and Cardiovascular Complications are Common Causes for Hospitalization in Older Patients with Inflammatory Bowel Diseases. Inflammatory Bowel Diseases 2018, 24: 916-923. PMID: 29562273, DOI: 10.1093/ibd/izx089.Peer-Reviewed Original ResearchConceptsInflammatory bowel diseaseOlder patientsYounger patientsAnnual burdenNationwide Readmissions Database 2013Treatment-related complicationsDisease-related complicationsCause of hospitalizationRepresentative cohort studyCohort studyBowel diseaseHigh riskPatientsMore daysHospitalizationComplicationsBurdenCauseRehospitalizationHospitalTherapyCohortPrevalenceDiseaseAnnual Burden and Costs of Hospitalization for High-Need, High-Cost Patients With Chronic Gastrointestinal and Liver Diseases
Nguyen NH, Khera R, Ohno-Machado L, Sandborn WJ, Singh S. Annual Burden and Costs of Hospitalization for High-Need, High-Cost Patients With Chronic Gastrointestinal and Liver Diseases. Clinical Gastroenterology And Hepatology 2018, 16: 1284-1292.e30. PMID: 29474966, PMCID: PMC6056327, DOI: 10.1016/j.cgh.2018.02.015.Peer-Reviewed Original ResearchConceptsFunctional gastrointestinal disordersChronic liver diseaseInflammatory bowel diseaseHigh-cost patientsCost of hospitalizationGastrointestinal hemorrhageLiver diseasePancreatic diseaseChronic gastrointestinalHospitalization costsAnnual burdenNationwide Readmissions Database 2013Medicare/Medicaid insuranceHigher comorbidity burdenInfection-related hospitalizationNationwide database analysisMultivariate logistic regressionDays/monthLarge rural hospitalPopulation health managementLow-income statusCardiopulmonary causesComorbidity burdenIndex hospitalizationHigh-value care
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 elimination
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