2021
Pharmacoepidemiology, Machine Learning, and COVID-19: An Intent-to-Treat Analysis of Hydroxychloroquine, With or Without Azithromycin, and COVID-19 Outcomes Among Hospitalized US Veterans
Gerlovin H, Posner DC, Ho YL, Rentsch CT, Tate JP, King JT, Kurgansky KE, Danciu I, Costa L, Linares FA, Goethert ID, Jacobson DA, Freiberg MS, Begoli E, Muralidhar S, Ramoni RB, Tourassi G, Gaziano JM, Justice AC, Gagnon DR, Cho K. Pharmacoepidemiology, Machine Learning, and COVID-19: An Intent-to-Treat Analysis of Hydroxychloroquine, With or Without Azithromycin, and COVID-19 Outcomes Among Hospitalized US Veterans. American Journal Of Epidemiology 2021, 190: 2405-2419. PMID: 34165150, PMCID: PMC8384407, DOI: 10.1093/aje/kwab183.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAnti-Bacterial AgentsAzithromycinCOVID-19COVID-19 Drug TreatmentDrug Therapy, CombinationFemaleHospitalizationHumansHydroxychloroquineIntention to Treat AnalysisMachine LearningMaleMiddle AgedPharmacoepidemiologyRetrospective StudiesSARS-CoV-2Treatment OutcomeUnited StatesVeteransConceptsUS veteransCOVID-19Veterans Affairs Health Care SystemRecent randomized clinical trialsAdministration of hydroxychloroquineEffectiveness of hydroxychloroquineRisk of intubationEffect of hydroxychloroquineElectronic health record dataRandomized clinical trialsTreatment of patientsUS veteran populationCOVID-19 outcomesCoronavirus disease 2019Health record dataRigorous study designsHealth care systemSurvival benefitTreat analysisEarly therapyHospitalized populationClinical trialsObservational studyDisease 2019Hydroxychloroquine
2020
Patterns of COVID-19 testing and mortality by race and ethnicity among United States veterans: A nationwide cohort study
Rentsch CT, Kidwai-Khan F, Tate JP, Park LS, King JT, Skanderson M, Hauser RG, Schultze A, Jarvis CI, Holodniy M, Re V, Akgün KM, Crothers K, Taddei TH, Freiberg MS, Justice AC. Patterns of COVID-19 testing and mortality by race and ethnicity among United States veterans: A nationwide cohort study. PLOS Medicine 2020, 17: e1003379. PMID: 32960880, PMCID: PMC7508372, DOI: 10.1371/journal.pmed.1003379.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBetacoronavirusBlack or African AmericanClinical Laboratory TechniquesCohort StudiesCoronavirus InfectionsCOVID-19COVID-19 TestingEthnicityFemaleHispanic or LatinoHumansMaleMiddle AgedPandemicsPneumonia, ViralRetrospective StudiesSARS-CoV-2United StatesVeteransWhite PeopleYoung AdultConceptsCOVID-19 testingRace/ethnicityCohort studyWhite individualsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionAcute respiratory syndrome coronavirus 2 infectionSyndrome coronavirus 2 infectionSARS-CoV-2 infectionCOVID-19Large integrated healthcare systemCoronavirus 2 infectionNationwide cohort studyRetrospective cohort studyCoronavirus disease 2019Site of careIntegrated healthcare systemNon-Hispanic blacksPositive test resultsNon-Hispanic whitesClinical characteristicsMultivariable adjustmentComorbid conditionsMedication historyEthnic minority communitiesDisease 2019Factors associated with COVID-19-related death using OpenSAFELY
Williamson EJ, Walker AJ, Bhaskaran K, Bacon S, Bates C, Morton CE, Curtis HJ, Mehrkar A, Evans D, Inglesby P, Cockburn J, McDonald HI, MacKenna B, Tomlinson L, Douglas IJ, Rentsch CT, Mathur R, Wong AYS, Grieve R, Harrison D, Forbes H, Schultze A, Croker R, Parry J, Hester F, Harper S, Perera R, Evans SJW, Smeeth L, Goldacre B. Factors associated with COVID-19-related death using OpenSAFELY. Nature 2020, 584: 430-436. PMID: 32640463, PMCID: PMC7611074, DOI: 10.1038/s41586-020-2521-4.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge DistributionAge FactorsAgedAged, 80 and overAgingAsian PeopleAsthmaBetacoronavirusBlack PeopleCohort StudiesCoronavirus InfectionsCOVID-19Diabetes MellitusFemaleHumansHypertensionMaleMiddle AgedPandemicsPneumonia, ViralProportional Hazards ModelsRisk AssessmentSARS-CoV-2Sex CharacteristicsSmokingState MedicineYoung AdultConceptsCOVID-19-related deathsPrimary care electronic health recordsPrimary care recordsLarge cohort studyCoronavirus disease 2019Electronic health recordsSevere asthmaCohort studyClinical factorsSouth Asian peopleSevere outcomesDisease 2019Medical conditionsHigh riskOpenSAFELYWhite ethnicityCare recordsNHS EnglandPatient recordsPatient dataHealth recordsDeathGreater ageAsian peopleRisk