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
2013
ICD-9 tobacco use codes are effective identifiers of smoking status
Wiley L, Shah A, Xu H, Bush W. ICD-9 tobacco use codes are effective identifiers of smoking status. Journal Of The American Medical Informatics Association 2013, 20: 652-658. PMID: 23396545, PMCID: PMC3721171, DOI: 10.1136/amiajnl-2012-001557.Peer-Reviewed Original ResearchConceptsSmoking statusClinic populationGeneral clinic populationClinical populationsSmoking cessation attemptCancer-free controlsElectronic health recordsFull-text recordsCancer casesCessation attemptsTobacco useInternational ClassificationSmokersHealth recordsGenetic association studiesGenetic association analysisStatusPopulationLittle evidenceBiorepositoryInitial success