2022
Associations Between Vascular Diseases and Alzheimer’s Disease or Related Dementias in a Large Cohort of Men and Women with Colorectal Cancer
Du X, Song L, Schulz P, Xu H, Chan W. Associations Between Vascular Diseases and Alzheimer’s Disease or Related Dementias in a Large Cohort of Men and Women with Colorectal Cancer. Journal Of Alzheimer's Disease 2022, 90: 211-231. PMID: 36093703, PMCID: PMC9661325, DOI: 10.3233/jad-220548.Peer-Reviewed Original ResearchConceptsColorectal cancerVascular diseaseCardiovascular diseaseAlzheimer's diseaseRisk of ADSignificant dose-response relationshipRetrospective cohort studyCohort of patientsTypes of dementiaLong-term riskDose-response relationshipRisk of ADRDTumor factorsCohort studyCumulative incidenceOlder patientsLarge cohortPatientsRelated dementiaHypertensionCancerDiseaseDiabetesDementiaStrokeFactors Associated With COVID-19 Death in the United States: Cohort Study
Chen U, Xu H, Krause T, Greenberg R, Dong X, Jiang X. Factors Associated With COVID-19 Death in the United States: Cohort Study. JMIR Public Health And Surveillance 2022, 8: e29343. PMID: 35377319, PMCID: PMC9132142, DOI: 10.2196/29343.Peer-Reviewed Original ResearchMeSH KeywordsAdultBlack or African AmericanCohort StudiesCOVID-19HumansMaleMiddle AgedSARS-CoV-2United StatesWhite PeopleConceptsCOVID-19-related deathsCohort studyPatient characteristicsElectronic health record data setsLarge national cohort studyNational cohort studyChronic respiratory diseasesProportional hazards modelCOVID-19COVID-19 deathsImmunosuppressive conditionsKidney functionMale sexLung cancerCOVID-19 casesRecent diagnosisRisk factorsRespiratory diseaseCardiac diseaseOrgan transplantsHigh incidenceHazards modelNeurological diseasesOlder ageDiseaseAnalysis of Dual Combination Therapies Used in Treatment of Hypertension in a Multinational Cohort
Lu Y, Van Zandt M, Liu Y, Li J, Wang X, Chen Y, Chen Z, Cho J, Dorajoo SR, Feng M, Hsu MH, Hsu JC, Iqbal U, Jonnagaddala J, Li YC, Liaw ST, Lim HS, Ngiam KY, Nguyen PA, Park RW, Pratt N, Reich C, Rhee SY, Sathappan SMK, Shin SJ, Tan HX, You SC, Zhang X, Krumholz HM, Suchard MA, Xu H. Analysis of Dual Combination Therapies Used in Treatment of Hypertension in a Multinational Cohort. JAMA Network Open 2022, 5: e223877. PMID: 35323951, PMCID: PMC8948532, DOI: 10.1001/jamanetworkopen.2022.3877.Peer-Reviewed Original ResearchConceptsDual combination therapyUse of ACEIAntihypertensive drug classesProportion of patientsKhoo Teck Puat HospitalCombination therapyUniversity Hospital databaseHospital databaseDrug classesDual combinationSouth Western Sydney Local Health DistrictWestern Sydney Local Health DistrictPatients age 65 yearsSydney Local Health DistrictElectronic health record databasePatients age 18Local Health DistrictAge 65 yearsTreatment of hypertensionHealth record databaseARB monotherapyTreatment escalationAdult patientsCohort studyCombination regimen
2021
Leveraging a health information exchange for analyses of COVID-19 outcomes including an example application using smoking history and mortality
Tortolero G, Brown M, Sharma S, de Oliveira Otto M, Yamal J, Aguilar D, Gunther M, Mofleh D, Harris R, John J, de Vries P, Ramphul R, Serbo D, Kiger J, Banerjee D, Bonvino N, Merchant A, Clifford W, Mikhail J, Xu H, Murphy R, Wei Q, Vahidy F, Morrison A, Boerwinkle E. Leveraging a health information exchange for analyses of COVID-19 outcomes including an example application using smoking history and mortality. PLOS ONE 2021, 16: e0247235. PMID: 34081724, PMCID: PMC8174716, DOI: 10.1371/journal.pone.0247235.Peer-Reviewed Original ResearchConceptsBody mass indexCOVID-19 patientsRisk factorsTobacco useCOVID-19 fatalitiesHealth information exchangeRace/ethnicityCOVID-19Laboratory risk factorsNumber of comorbiditiesCOVID-19 cohortMultivariable logistic regressionImportant risk factorPotential risk factorsCOVID-19 outcomesFormer tobacco usersTobacco use historyLarge health information exchangeMass indexElectronic health record systemsUnfavorable outcomeClinical dataTobacco usersOutcome analysisElectronic health information
2018
Association of Hemoglobin A1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With Metformin
Vashisht R, Jung K, Schuler A, Banda J, Park R, Jin S, Li L, Dudley J, Johnson K, Shervey M, Xu H, Wu Y, Natrajan K, Hripcsak G, Jin P, Van Zandt M, Reckard A, Reich C, Weaver J, Schuemie M, Ryan P, Callahan A, Shah N. Association of Hemoglobin A1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With Metformin. JAMA Network Open 2018, 1: e181755. PMID: 30646124, PMCID: PMC6324274, DOI: 10.1001/jamanetworkopen.2018.1755.Peer-Reviewed Original ResearchConceptsDPP-4 inhibitorsDipeptidyl peptidase-4 inhibitorsFirst-line therapyPeptidase-4 inhibitorsSecond-line drugsType 2 diabetesMyocardial infarctionEye disordersKidney disordersDrug classesSecond-line treatment choiceTotal hemoglobinObservational Health Data SciencesSecond-line treatment optionNew-user cohort studyEffectiveness of sulfonylureasSecond-line treatmentHemoglobin A1c levelsUse of sulfonylureasHealth Data SciencesLarge international studyElectronic medical recordsRoutine medical practiceInsurance claims dataCohort study
2017
Evaluating the role of race and medication in protection of uterine fibroids by type 2 diabetes exposure
Velez Edwards D, Hartmann K, Wellons M, Shah A, Xu H, Edwards T. Evaluating the role of race and medication in protection of uterine fibroids by type 2 diabetes exposure. BMC Women's Health 2017, 17: 28. PMID: 28399866, PMCID: PMC5387248, DOI: 10.1186/s12905-017-0386-y.Peer-Reviewed Original ResearchConceptsT2D medicationsUF riskAnnual healthcare costsElectronic medical record algorithmCase-control studyLarge clinical populationFurther mechanistic researchBackgroundUterine fibroidsT2D diagnosisDiabetes exposureMedication typeDiabetes presenceInsulin usersUterine fibroidsInsulin treatmentProtective associationStratified analysisClinical cohortConclusionsThese dataProtective effectLarge cohortCase-control statusHealthcare costsT2DMedications
2015
Effects of Health Insurance on Tumor Stage, Treatment, and Survival in Large Cohorts of Patients with Breast and Colorectal Cancer
Zhang Y, Franzini L, Chan W, Xu H, Du X. Effects of Health Insurance on Tumor Stage, Treatment, and Survival in Large Cohorts of Patients with Breast and Colorectal Cancer. Journal Of Health Care For The Poor And Underserved 2015, 26: 1336-1358. PMID: 26548682, DOI: 10.1353/hpu.2015.0119.Peer-Reviewed Original ResearchConceptsRisk of mortalityColorectal cancerTumor stagePrivate health insuranceCancer patientsHealth insuranceCancer-directed surgeryColorectal cancer patientsTexas Cancer RegistryInsurance coverageAdditional private health insuranceBreast cancer patientsHealth insurance statusHealth insurance coverageOverall survivalCancer RegistryInsurance statusBreast cancerLarge cohortHigh riskMedicare beneficiariesPatientsCancerChemotherapySurgeryIdentifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2
Stubbs A, Kotfila C, Xu H, Uzuner Ö. Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2. Journal Of Biomedical Informatics 2015, 58: s67-s77. PMID: 26210362, PMCID: PMC4978189, DOI: 10.1016/j.jbi.2015.07.001.Peer-Reviewed Original ResearchMeSH KeywordsAgedBostonCohort StudiesComorbidityComputer SecurityConfidentialityCoronary Artery DiseaseData MiningDiabetes ComplicationsElectronic Health RecordsFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedNarrationNatural Language ProcessingPattern Recognition, AutomatedRisk AssessmentVocabulary, ControlledConceptsCoronary artery diseaseRisk factorsLongitudinal medical recordsMedical recordsMedical risk factorsArtery diseaseDiabetic patientsSmoking statusHeart diseaseFamily historyI2b2/UTHealth natural language processingDiseaseI2b2/UTHealthProgressionUTHealthHypertensionHyperlipidemiaFactorsObesityDiabetesPatients
2013
Characterization of Statin Dose Response in Electronic Medical Records
Wei W, Feng Q, Jiang L, Waitara M, Iwuchukwu O, Roden D, Jiang M, Xu H, Krauss R, Rotter J, Nickerson D, Davis R, Berg R, Peissig P, McCarty C, Wilke R, Denny J. Characterization of Statin Dose Response in Electronic Medical Records. Clinical Pharmacology & Therapeutics 2013, 95: 331-338. PMID: 24096969, PMCID: PMC3944214, DOI: 10.1038/clpt.2013.202.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAllelesAtorvastatinCholesterol, LDLCohort StudiesDatabases, FactualDose-Response Relationship, DrugElectronic Health RecordsGenotypeHeptanoic AcidsHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHyperlipidemiasLipid MetabolismLipidsPhenotypePolymorphism, Single NucleotidePyrrolesRandomized Controlled Trials as TopicSimvastatin