2022
Effectiveness and Safety of Biologic Therapy in Hispanic Vs Non-Hispanic Patients With Inflammatory Bowel Diseases: A CA-IBD Cohort Study
Nguyen N, Luo J, Paul P, Kim J, Syal G, Ha C, Rudrapatna V, Park S, Parekh N, Zheng K, Sauk J, Limketkai B, Fleshner P, Eisenstein S, Ramamoorthy S, Melmed G, Dulai P, Boland B, Mahadevan U, Sandborn W, Ohno-Machado L, McGovern D, Singh S. Effectiveness and Safety of Biologic Therapy in Hispanic Vs Non-Hispanic Patients With Inflammatory Bowel Diseases: A CA-IBD Cohort Study. Clinical Gastroenterology And Hepatology 2022, 21: 173-181.e5. PMID: 35644340, PMCID: PMC9701245, DOI: 10.1016/j.cgh.2022.05.008.Peer-Reviewed Original ResearchConceptsInflammatory bowel diseaseNon-Hispanic patientsBiologic-treated patientsHispanic patientsSerious infectionsBiologic therapyBowel diseasePropensity score-matched cohortBurden of inflammationRisk of hospitalizationHigh ratePropensity-score matchingCause hospitalizationAdult patientsBiologic initiationCohort studyBiologic agentsMedication useHigh burdenHigh riskHospitalizationPatientsSurvival analysisSurgeryAbstractTextEpidemiology 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 ageProtein 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
Racial, ethnic, and gender differences in obesity and body fat distribution: An All of Us Research Program demonstration project
Karnes J, Arora A, Feng J, Steiner H, Sulieman L, Boerwinkle E, Clark C, Cicek M, Cohn E, Gebo K, Loperena-Cortes R, Ohno-Machado L, Mayo K, Mockrin S, Ramirez A, Schully S, Klimentidis Y. Racial, ethnic, and gender differences in obesity and body fat distribution: An All of Us Research Program demonstration project. PLOS ONE 2021, 16: e0255583. PMID: 34358277, PMCID: PMC8345840, DOI: 10.1371/journal.pone.0255583.Peer-Reviewed Original ResearchConceptsBody mass indexBody fat distributionNon-Hispanic blacksNon-Hispanic whitesAlanine aminotransferaseNHB participantsFat distributionAge-adjusted obesity prevalenceNutrition Examination Survey dataBaseline physical examinationRace/ethnicityElectronic health recordsNHB womenWaist circumferenceMass indexHip ratioNHB menPhysical examinationNational HealthObesity prevalenceObesity ratesGender differencesObesityUs Research ProgramNHW participantsHypertension prevalence in the All of Us Research Program among groups traditionally underrepresented in medical research
Chandler P, Clark C, Zhou G, Noel N, Achilike C, Mendez L, Ramirez A, Loperena-Cortes R, Mayo K, Cohn E, Ohno-Machado L, Boerwinkle E, Cicek M, Qian J, Schully S, Ratsimbazafy F, Mockrin S, Gebo K, Dedier J, Murphy S, Smoller J, Karlson E. Hypertension prevalence in the All of Us Research Program among groups traditionally underrepresented in medical research. Scientific Reports 2021, 11: 12849. PMID: 34158555, PMCID: PMC8219813, DOI: 10.1038/s41598-021-92143-w.Peer-Reviewed Original ResearchConceptsPrevalence of hypertensionHTN prevalenceUs Research ProgramMajor public health concernBlood pressure medicationsPopulation-based studyNutrition Examination SurveyBlood pressure measurementsPopulation-based surveyEHR dataPatient measurementsPublic health concernAntihypertensive medicationsEHR cohortHTN medicationsHypertension prevalenceCrude prevalenceHypertension casesHypertension treatmentExamination SurveyNational HealthHypertensionBilling codesMedicationsCohortPrivacy-protecting, reliable response data discovery using COVID-19 patient observations
Kim J, Neumann L, Paul P, Day M, Aratow M, Bell D, Doctor J, Hinske L, Jiang X, Kim K, Matheny M, Meeker D, Pletcher M, Schilling L, SooHoo S, Xu H, Zheng K, Ohno-Machado L, Anderson D, Anderson N, Balacha C, Bath T, Baxter S, Becker-Pennrich A, Bernstam E, Carter W, Chau N, Choi Y, Covington S, DuVall S, El-Kareh R, Florian R, Follett R, Geisler B, Ghigi A, Gottlieb A, Hu Z, Ir D, Knight T, Koola J, Kuo T, Lee N, Mansmann U, Mou Z, Murphy R, Neumann L, Nguyen N, Niedermayer S, Park E, Perkins A, Post K, Rieder C, Scherer C, Soares A, Soysal E, Tep B, Toy B, Wang B, Wu Z, Zhou Y, Zucker R. Privacy-protecting, reliable response data discovery using COVID-19 patient observations. Journal Of The American Medical Informatics Association 2021, 28: 1765-1776. PMID: 34051088, PMCID: PMC8194878, DOI: 10.1093/jamia/ocab054.Peer-Reviewed Original ResearchPredictive 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
EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning
Kuo T, Gabriel R, Cidambi K, Ohno-Machado L. EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning. Journal Of The American Medical Informatics Association 2020, 27: 747-756. PMID: 32364235, PMCID: PMC7309256, DOI: 10.1093/jamia/ocaa023.Peer-Reviewed Original ResearchConceptsBlockchain technologyCentral serverServer-based methodBenefits of blockchainData protection policiesCentralized serverArtificial intelligenceModel learningDecentralized approachSmall datasetsBlockchainServerComputation strategySingle pointGeneralizable modelCost of efficiencyGenomic datasetsDatasetDistributed modelTechnologyGenomic dataMultiple institutionsDiscrimination powerIntelligencePotential advantages/disadvantagesActive Surveillance of the Implantable Cardioverter-Defibrillator Registry for Defibrillator Lead Failures
Resnic F, Majithia A, Dhruva S, Ssemaganda H, Robbins S, Marinac-Dabic D, Hewitt K, Ohno-Machado L, Reynolds M, Matheny M. Active Surveillance of the Implantable Cardioverter-Defibrillator Registry for Defibrillator Lead Failures. Circulation Cardiovascular Quality And Outcomes 2020, 13: e006105. PMID: 32283971, PMCID: PMC7360169, DOI: 10.1161/circoutcomes.119.006105.Peer-Reviewed Original ResearchConceptsICD RegistryLead failureActive surveillanceNational Cardiovascular Data Registry ICD RegistryImplantable Cardioverter-Defibrillator RegistryPrimary safety end pointPropensity-matched survival analysisRate of freedomSafety end pointLead failure rateLong-term safetySignificant patient harmDefibrillator lead failureEarly lead failureMonitoring of safetyComparator patientsContemporary ICDLead survivalMeaningful differencesOutcome ascertainmentFailure rateNew ICDPatient harmPatientsSurvival analysisEngaging 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 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 cohortWhole genome sequencing of an African American family highlights toll like receptor 6 variants in Kawasaki disease susceptibility
Kim J, Shimizu C, Kingsmore S, Veeraraghavan N, Levy E, dos Santos A, Yang H, Flatley J, Hoang L, Hibberd M, Tremoulet A, Harismendy O, Ohno-Machado L, Burns J. Whole genome sequencing of an African American family highlights toll like receptor 6 variants in Kawasaki disease susceptibility. PLOS ONE 2017, 12: e0170977. PMID: 28151979, PMCID: PMC5289527, DOI: 10.1371/journal.pone.0170977.Peer-Reviewed Original ResearchConceptsWhole genome sequencesGenome-wide association studiesToll-like receptor 6Single nucleotide variantsCommon disease-rare variant hypothesisExpression quantitative trait loci (eQTL) analysisDifferential expressionQuantitative trait locus (QTL) analysisCommon disease–common variantPathogen-associated molecular pattern recognitionIntegrative genomics approachIntronic single nucleotide variantsComplex genetic diseasesSequence quality scoresMolecular pattern recognitionWhole-genome sequencingGenomic approachesTranscriptome dataGenome sequenceSequence variationLocus analysisGenome sequencingAssociation studiesFunction of genotypeNucleotide variants
2016
Biospecimen Sharing Among Hispanic Women in a Safety-Net Clinic: Implications for the Precision Medicine Initiative
Nodora J, Komenaka I, Bouton M, Ohno-Machado L, Schwab R, Kim H, Farcas C, Perez G, Martinez M. Biospecimen Sharing Among Hispanic Women in a Safety-Net Clinic: Implications for the Precision Medicine Initiative. Journal Of The National Cancer Institute 2016, 109: djw201. PMID: 27688295, PMCID: PMC5040829, DOI: 10.1093/jnci/djw201.Peer-Reviewed Original ResearchConceptsSafety-net clinicsPrecision Medicine InitiativeHispanic womenUnderserved populationsMedicine InitiativeSafety-net hospitalUS Hispanic populationPatient's physicianIndividualized careConsent ratesBreast biopsyBiospecimen donationHispanic populationClinicHospitalResearch assistantsPhysiciansWomenPersonalized medicineBiospecimenPopulationBiopsy