2022
Investigation of hypertension and type 2 diabetes as risk factors for dementia in the All of Us cohort
Nagar S, Pemu P, Qian J, Boerwinkle E, Cicek M, Clark C, Cohn E, Gebo K, Loperena R, Mayo K, Mockrin S, Ohno-Machado L, Ramirez A, Schully S, Able A, Green A, Zuchner S, Jordan I, Meller R. Investigation of hypertension and type 2 diabetes as risk factors for dementia in the All of Us cohort. Scientific Reports 2022, 12: 19797. PMID: 36396674, PMCID: PMC9672061, DOI: 10.1038/s41598-022-23353-z.Peer-Reviewed Original ResearchConceptsAssociation of hypertensionPrevalence of dementiaType 2 diabetesRisk factorsUS populationRace/ethnicityHigh prevalenceLarge observational cohort studyMultivariable logistic regression modelRisk factor modificationObservational cohort studyT2D risk factorsInvestigation of hypertensionAssociation of T2DOdds of dementiaRace/ethnicity groupsAssociation of sexCross-sectional analysisLogistic regression modelsWorld Health OrganizationElectronic health recordsConcurrent hypertensionModifiable comorbiditiesCohort studyFinal cohort
2021
Geographic Variation in Obesity at the State Level in the All of Us Research Program
Clark C, Chandler P, Zhou G, Noel N, Achilike C, Mendez L, O’Connor G, Smoller J, Weiss S, Murphy S, Ommerborn M, Karnes J, Klimentidis Y, Jordan C, Hiatt R, Ramirez A, Loperena R, Mayo K, Cohn E, Ohno-Machado L, Boerwinkle E, Cicek M, Schully S, Mockrin S, Gebo K, Karlson E. Geographic Variation in Obesity at the State Level in the All of Us Research Program. Preventing Chronic Disease 2021, 18: e104. PMID: 34941480, PMCID: PMC8718125, DOI: 10.5888/pcd18.210094.Peer-Reviewed Original ResearchConceptsBody mass indexObesity prevalenceElectronic health recordsSevere obesityPrevalence estimatesParticipants' electronic health recordsObesity prevention strategiesNational population-based estimatesEHR dataPopulation-based estimatesOverall obesity prevalenceState-level geographic variationsPopulation health studiesUS participantsEnrollment visitMass indexObesity preventionHigh prevalenceHealth StudyPrecision health approachObesityPrevention strategiesUs Research ProgramLarge geographic variationsCohort data
2015
Creating a Common Data Model for Comparative Effectiveness with the Observational Medical Outcomes Partnership
FitzHenry F, Resnic F, Robbins S, Denton J, Nookala L, Meeker D, Ohno-Machado L, Matheny M. Creating a Common Data Model for Comparative Effectiveness with the Observational Medical Outcomes Partnership. Applied Clinical Informatics 2015, 06: 536-547. PMID: 26448797, PMCID: PMC4586341, DOI: 10.4338/aci-2014-12-cr-0121.Peer-Reviewed Original ResearchConceptsOMOP Common Data ModelPerson monthsHealth systemCount of medicationsMore outpatient visitsHealth system databaseMedication administration recordsComparative effectiveness analysisObservational Medical Outcomes Partnership (OMOP) CDMPharmacy fillsEligible cohortOutpatient visitsHigh prevalenceMedicationsComparative effectivenessAdministration recordsCommon data modelCohortMini-SentinelObservational Medical Outcomes PartnershipMonths