Featured Publications
Characteristics Associated With Racial/Ethnic Disparities in COVID-19 Outcomes in an Academic Health Care System
Gu T, Mack J, Salvatore M, Sankar S, Valley T, Singh K, Nallamothu B, Kheterpal S, Lisabeth L, Fritsche L, Mukherjee B. Characteristics Associated With Racial/Ethnic Disparities in COVID-19 Outcomes in an Academic Health Care System. JAMA Network Open 2020, 3: e2025197. PMID: 33084902, PMCID: PMC7578774, DOI: 10.1001/jamanetworkopen.2020.25197.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBetacoronavirusBlack or African AmericanComorbidityCoronavirus InfectionsCOVID-19Diabetes Mellitus, Type 2FemaleHealth Status DisparitiesHospitalizationHumansIntensive Care UnitsKidney DiseasesMaleMichiganMiddle AgedNeoplasmsObesityOdds RatioPandemicsPneumonia, ViralPopulation DensityRetrospective StudiesRisk FactorsSARS-CoV-2White PeopleConceptsAssociated with higher riskInternational Classification of DiseasesRisk of hospitalizationPreexisting type 2 diabetesHigher risk of hospitalizationClassification of DiseasesType 2 diabetesCOVID-19 outcomesRacial/ethnic disparitiesWhite patientsBlack patientsIntensive care unitInternational ClassificationResidential-level socioeconomic characteristicsOdds ratioStatistically significant racial differencesHigh riskAssociated with higher risk of hospitalizationNon-Hispanic blacksAssociation of risk factorsNon-Hispanic whitesMichigan Department of HealthAssociated with increased risk of hospitalizationComorbidity scoreDepartment of Health
2023
COVID-19 outcomes by cancer status, site, treatment, and vaccination
Salvatore M, Hu M, Beesley L, Mondul A, Pearce C, Friese C, Fritsche L, Mukherjee B. COVID-19 outcomes by cancer status, site, treatment, and vaccination. Cancer Epidemiology Biomarkers & Prevention 2023, 32: 748-759. PMID: 36626383, DOI: 10.1158/1055-9965.epi-22-0607.Peer-Reviewed Original ResearchConceptsCOVID-19 outcomesCancer statusCancer diagnosisAssociated with higher ratesElectronic health record dataHealth record dataColorectal cancerIncreased riskAcademic medical centerKidney cancerCancer-free patientsIntensive care unit admissionCancer sitesAssociated with lower ratesChemotherapy receiptHigher ratesCOVID-19 precautionsRecord dataCOVID-19Logistic regressionMedical CenterUnit admissionRetrospective cohortVaccination statusLung cancer
2022
Estimating COVID-19 Vaccination and Booster Effectiveness Using Electronic Health Records From an Academic Medical Center in Michigan
Roberts E, Gu T, Wagner A, Mukherjee B, Fritsche L. Estimating COVID-19 Vaccination and Booster Effectiveness Using Electronic Health Records From an Academic Medical Center in Michigan. AJPM Focus 2022, 1: 100015. PMID: 36942016, PMCID: PMC9323299, DOI: 10.1016/j.focus.2022.100015.Peer-Reviewed Original ResearchIntensive care unit admissionElectronic health record dataHealth record dataElectronic health recordsMedical CenterUnit admissionAcademic medical centerOdds of vaccinationHealth recordsSevere COVID-19 outcomesAffluent areasHealthcare workersStudy designRecord dataCalendar quarterCOVID-19COVID-19 outcomesDisease overallUniversity of Michigan Medical CenterObservational studySevere COVID-19SARS-CoV-2 infectionVaccine effectivenessBooster statusOngoing surveillanceAssessing the added value of linking electronic health records to improve the prediction of self-reported COVID-19 testing and diagnosis
Clark-Boucher D, Boss J, Salvatore M, Smith J, Fritsche L, Mukherjee B. Assessing the added value of linking electronic health records to improve the prediction of self-reported COVID-19 testing and diagnosis. PLOS ONE 2022, 17: e0269017. PMID: 35877617, PMCID: PMC9312965, DOI: 10.1371/journal.pone.0269017.Peer-Reviewed Original ResearchConceptsElectronic health recordsHealth recordsCOVID-19-related outcomesCOVID-19 testingSurvey respondentsSelf-reported outcomesSelf-reported dataCOVID-19 outcomesElectronic recordsSurvey dataCOVID-19Prediction modelModel contextSurveyCOVID-19 diagnosisOutcomesPredictor variablesDigital surveyData sourcesCoronavirus disease 2019RespondentsPredictorsCOVID-19 casesDiagnosisRecords
2021
A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine
Salvatore M, Gu T, Mack J, Sankar S, Patil S, Valley T, Singh K, Nallamothu B, Kheterpal S, Lisabeth L, Fritsche L, Mukherjee B. A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine. Journal Of Clinical Medicine 2021, 10: 1351. PMID: 33805886, PMCID: PMC8037108, DOI: 10.3390/jcm10071351.Peer-Reviewed Original ResearchPhenome-wide association studyCOVID-19 outcomesIntensive care unitAssociation studiesNon-Hispanic blacksNon-Hispanic whitesAcademic medical centerAssociated with hospitalizationHealthcare deliveryAssociated with mortalityMedicine backgroundPre-existing conditionsMedical phenomeDisease preventionVulnerable populationsPulmonary heart diseaseTargeted screeningMental disordersCOVID-19Associated with intensive care unitMedical CenterRecord DataCare unitGenitourinary conditionsHeart disease