2023
Excess mortality in US Veterans during the COVID-19 pandemic: an individual-level cohort study
Weinberger D, Bhaskaran K, Korves C, Lucas B, Columbo J, Vashi A, Davies L, Justice A, Rentsch C. Excess mortality in US Veterans during the COVID-19 pandemic: an individual-level cohort study. International Journal Of Epidemiology 2023, 52: 1725-1734. PMID: 37802889, PMCID: PMC10749763, DOI: 10.1093/ije/dyad136.Peer-Reviewed Original ResearchConceptsExcess mortality ratesExcess mortalityComorbidity burdenHazard ratioCohort studyMortality rateVeterans Aging Cohort Study (VACS) IndexIndividual-level cohort studyVeterans AffairsCOVID-19 pandemicLarge integrated healthcare systemExcess mortality patternsHigher comorbidity burdenLower comorbidity burdenMost frail patientsCharlson Comorbidity IndexObservational cohort studyClinical risk groupsIntegrated healthcare systemLeast frailComorbidity indexFrail patientsPre-pandemic periodMedian ageUS veterans
2022
Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care
Kidwai-Khan F, Rentsch C, Pulk R, Alcorn C, Brandt C, Justice A. Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care. Frontiers In Big Data 2022, 5: 1059088. PMID: 36458283, PMCID: PMC9705957, DOI: 10.3389/fdata.2022.1059088.Peer-Reviewed Original ResearchK-Nearest NeighborSupport vector machinePreventable adverse eventsDecision support mechanismAdverse eventsCurrent medicationsExtreme gradient boostingPredictive modelingSoftware interfaceMachine learningVeterans AffairsData integrationF1 scoreLarge integrated healthcare systemNearest NeighborPatient's current medicationsVector machineOutpatient clinic visitsRandom forestDecision treeGradient boostingAUC scoreComplex treatment decisionsEHR dataIntegrated healthcare systemSurvival analysis of localized prostate cancer with deep learning
Dai X, Park JH, Yoo S, D’Imperio N, McMahon BH, Rentsch CT, Tate JP, Justice AC. Survival analysis of localized prostate cancer with deep learning. Scientific Reports 2022, 12: 17821. PMID: 36280773, PMCID: PMC9592586, DOI: 10.1038/s41598-022-22118-y.Peer-Reviewed Original ResearchConceptsProstate cancer mortalityComposite outcomeCancer mortalityRisk predictionTime-dependent c-statisticsProstate-specific antigen (PSA) testLarge integrated healthcare systemLocalized prostate cancerElectronic health record dataClinical decision-making processProstate cancer patientsIntegrated healthcare systemProstate Cancer Risk PredictionHealth record dataLarge-scale electronic health record dataRisk prediction modelCancer risk predictionAntigen testC-statisticCancer patientsProstate cancerClinical decision systemSurvival analysisVeterans AffairsDeep learningSpironolactone as a potential new pharmacotherapy for alcohol use disorder: convergent evidence from rodent and human studies
Farokhnia M, Rentsch CT, Chuong V, McGinn MA, Elvig SK, Douglass EA, Gonzalez LA, Sanfilippo JE, Marchette RCN, Tunstall BJ, Fiellin DA, Koob GF, Justice AC, Leggio L, Vendruscolo LF. Spironolactone as a potential new pharmacotherapy for alcohol use disorder: convergent evidence from rodent and human studies. Molecular Psychiatry 2022, 27: 4642-4652. PMID: 36123420, PMCID: PMC10231646, DOI: 10.1038/s41380-022-01736-y.Peer-Reviewed Original ResearchConceptsAlcohol use disorderAlcohol Use Disorders Identification Test-ConsumptionEffect of spironolactoneAlcohol consumptionSpironolactone doseNovel pharmacotherapiesUse disordersHuman studiesLarge integrated healthcare systemHeavy episodic alcohol consumptionAlcohol-induced ataxiaMineralocorticoid receptor antagonistsSelf-reported alcohol consumptionBlood alcohol levelsEpisodic alcohol consumptionIntegrated healthcare systemPharmacoepidemiologic cohort studyPotential new pharmacotherapiesCohort studyAlcohol drinkingReceptor antagonistFemale miceFemale ratsNew pharmacotherapiesRat model
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 2019