2024
Patient Characteristics and Practice Variation Associated With New Community Prescription of Benzodiazepine and z‐Drug Hypnotics After Critical Illness: A Retrospective Cohort Study Using the UK Clinical Practice Research Datalink
Mansi E, Rentsch C, Bourne R, Guthrie B, Lone N. Patient Characteristics and Practice Variation Associated With New Community Prescription of Benzodiazepine and z‐Drug Hypnotics After Critical Illness: A Retrospective Cohort Study Using the UK Clinical Practice Research Datalink. Pharmacoepidemiology And Drug Safety 2024, 33: e70056. PMID: 39603606, PMCID: PMC11602247, DOI: 10.1002/pds.70056.Peer-Reviewed Original ResearchConceptsCommunity prescriptionsZ-drugsIllness survivorsRetrospective cohort studyClinical Practice Research Datalink dataPractice variationUK Clinical Practice Research DatalinkClinical Practice Research DatalinkWorsening mental health conditionsCohort studyMultilevel multivariable logistic regressionSurvivors of critical illnessZ-drug prescribingCritical care survivorsPrimary care practicesCritical illnessMental health conditionsZ-drug prescriptionsCritical illness survivorsMultivariate logistic regressionPrescription opioid useCare practicesRisk of adverse eventsHealth conditionsHistory of insomniaHypertension Control During the Coronavirus Disease 2019 Pandemic
Korves C, Peixoto A, Lucas B, Davies L, Weinberger D, Rentsch C, Vashi A, Young-Xu Y, King J, Asch S, Justice A. Hypertension Control During the Coronavirus Disease 2019 Pandemic. Medical Care 2024, 62: 196-204. PMID: 38284412, PMCID: PMC10922611, DOI: 10.1097/mlr.0000000000001971.Peer-Reviewed Original ResearchConceptsHypertension controlFollow-up intervalPrimary care clinic visitsFollow-up lengthVeterans Health AdministrationControlled hypertensionUncontrolled hypertensionGeneralized estimating equationsCohort of individualsStudy inclusion criteriaHealth careHealth AdministrationLonger follow-up intervalsBlood pressure measurementsAssessed associationsClinic visitsInclusion criteriaDecreased likelihoodEstimating equationsPrepandemic periodLow likelihoodCoronavirus diseaseFollow-upHypertensionIndividuals
2023
Alcohol Use and Sustained Virologic Response to Hepatitis C Virus Direct-Acting Antiviral Therapy
Cartwright E, Pierret C, Minassian C, Esserman D, Tate J, Goetz M, Bhattacharya D, Fiellin D, Justice A, Re V, Rentsch C. Alcohol Use and Sustained Virologic Response to Hepatitis C Virus Direct-Acting Antiviral Therapy. JAMA Network Open 2023, 6: e2335715. PMID: 37751206, PMCID: PMC10523171, DOI: 10.1001/jamanetworkopen.2023.35715.Peer-Reviewed Original ResearchConceptsSustained virologic responseAlcohol use disorderHigh-risk consumptionHistory of AUDLow-risk consumptionDAA therapyAlcohol use categoriesAlcohol useVirologic responseCohort studyAntiviral therapyOdds ratioChronic hepatitis C virus (HCV) infectionAlcohol Use Disorders Identification Test-Consumption (AUDIT-C) questionnaireHepatitis C virus infectionVeterans AffairsActing antiviral (DAA) therapyDAA treatment initiationHCV elimination goalsUndetectable HCV RNAC virus infectionFibrosis-4 scoreRetrospective cohort studyMultivariable logistic regressionTenth Revision diagnosisPerformance of an automated deep learning algorithm to identify hepatic steatosis within noncontrast computed tomography scans among people with and without HIV
Torgersen J, Akers S, Huo Y, Terry J, Carr J, Ruutiainen A, Skanderson M, Levin W, Lim J, Taddei T, So‐Armah K, Bhattacharya D, Rentsch C, Shen L, Carr R, Shinohara R, McClain M, Freiberg M, Justice A, Re V. Performance of an automated deep learning algorithm to identify hepatic steatosis within noncontrast computed tomography scans among people with and without HIV. Pharmacoepidemiology And Drug Safety 2023, 32: 1121-1130. PMID: 37276449, PMCID: PMC10527049, DOI: 10.1002/pds.5648.Peer-Reviewed Original ResearchMeSH KeywordsCross-Sectional StudiesDeep LearningFatty LiverHIV InfectionsHumansRetrospective StudiesTomography, X-Ray ComputedConceptsSevere hepatic steatosisHepatic steatosisHIV statusLiver attenuationHounsfield unitsPredictive valueRadiologist assessmentUS Veterans Health AdministrationNoncontrast abdominal CTVeterans Health AdministrationCross-sectional studySample of patientsNegative predictive valueReal-world studyPositive predictive valueAbdominal CTLiver fatTomography scanSteatosisCT imagesHealth AdministrationPharmacoepidemiologic studiesRadiologist reviewHIVPercent agreement
2022
Recording of ’COVID-19 vaccine declined‘: a cohort study on 57.9 million National Health Service patients’ records in situ using OpenSAFELY, England, 8 December 2020 to 25 May 2021
Curtis HJ, Inglesby P, MacKenna B, Croker R, Hulme WJ, Rentsch CT, Bhaskaran K, Mathur R, Morton CE, Bacon SC, Smith RM, Evans D, Mehrkar A, Tomlinson L, Walker AJ, Bates C, Hickman G, Ward T, Morley J, Cockburn J, Davy S, Williamson EJ, Eggo RM, Parry J, Hester F, Harper S, O’Hanlon S, Eavis A, Jarvis R, Avramov D, Griffiths P, Fowles A, Parkes N, Evans SJ, Douglas IJ, Smeeth L, Goldacre B. Recording of ’COVID-19 vaccine declined‘: a cohort study on 57.9 million National Health Service patients’ records in situ using OpenSAFELY, England, 8 December 2020 to 25 May 2021. Eurosurveillance 2022, 27: 2100885. PMID: 35983770, PMCID: PMC9389857, DOI: 10.2807/1560-7917.es.2022.27.33.2100885.Peer-Reviewed Original ResearchMeSH KeywordsCohort StudiesCOVID-19COVID-19 VaccinesEnglandHumansRetrospective StudiesState MedicineVaccinationConceptsCOVID-19 vaccinationCOVID-19 vaccineCohort studyPriority patientsRetrospective cohort studyPrimary care recordsMore deprived areasUnvaccinated patientsSubsequent vaccinationSouth Asian peopleSouth Asian populationGeneral practicePatientsCare recordsClinical record systemsVaccinationNHS EnglandPatient recordsVaccineDeprived areasAsian populationsOpenSAFELYDemographic subgroupsRecord systemDemographic factorsDescribing the population experiencing COVID-19 vaccine breakthrough following second vaccination in England: a cohort study from OpenSAFELY
Green A, Curtis H, Hulme W, Williamson E, McDonald H, Bhaskaran K, Rentsch C, Schultze A, MacKenna B, Mahalingasivam V, Tomlinson L, Walker A, Fisher L, Massey J, Andrews C, Hopcroft L, Morton C, Croker R, Morley J, Mehrkar A, Bacon S, Evans D, Inglesby P, Hickman G, Ward T, Davy S, Mathur R, Tazare J, Eggo R, Wing K, Wong A, Forbes H, Bates C, Cockburn J, Parry J, Hester F, Harper S, Douglas I, Evans S, Smeeth L, Goldacre B. Describing the population experiencing COVID-19 vaccine breakthrough following second vaccination in England: a cohort study from OpenSAFELY. BMC Medicine 2022, 20: 243. PMID: 35791013, PMCID: PMC9255436, DOI: 10.1186/s12916-022-02422-0.Peer-Reviewed Original ResearchMeSH KeywordsChickenpox VaccineCohort StudiesCOVID-19COVID-19 VaccinesEnglandHumansRetrospective StudiesSARS-CoV-2VaccinationConceptsPositive SARS-CoV-2 testSARS-CoV-2 testBreakthrough COVID-19Vaccine breakthroughBreakthrough casesCohort studyIncidence rateCOVID-19COVID-19-related hospital admissionsCOVID-19-related deathsVaccine breakthrough casesRetrospective cohort studyChronic kidney diseaseCritical care admissionSARS-CoV-2 variantsDeath registry dataCorresponding incidence ratesRoutine clinical dataHigh rateMedian followVaccine waningCare admissionHospital admissionSecond vaccinationSecondary care
2021
OpenSAFELY: impact of national guidance on switching anticoagulant therapy during COVID-19 pandemic
Collaborative T, Curtis HJ, MacKenna B, Walker AJ, Croker R, Mehrkar A, Morton C, Bacon S, Hickman G, Inglesby P, Bates C, Evans D, Ward T, Cockburn J, Davy S, Bhaskaran K, Schultze A, Rentsch CT, Williamson E, Hulme W, Tomlinson L, Mathur R, Drysdale H, Eggo RM, Wong AY, Forbes H, Parry J, Hester F, Harper S, Douglas I, Smeeth L, Goldacre B. OpenSAFELY: impact of national guidance on switching anticoagulant therapy during COVID-19 pandemic. Open Heart 2021, 8: e001784. PMID: 34785588, PMCID: PMC8595296, DOI: 10.1136/openhrt-2021-001784.Peer-Reviewed Original ResearchMeSH KeywordsAgedAnticoagulantsBlood CoagulationBlood Coagulation TestsCOVID-19Drug MonitoringDrug PrescriptionsDrug SubstitutionDrug UtilizationEnglandFactor Xa InhibitorsFemaleHumansMaleMiddle AgedPatient SafetyPractice Guidelines as TopicPractice Patterns, Physicians'Primary Health CareRetrospective StudiesRisk AssessmentRisk FactorsState MedicineWarfarinConceptsWarfarin patientsNational Health ServiceCOVID-19 pandemicNational guidanceCare home residencyINR test resultsRenal function testsFrequent blood testingSafety alertsRoutine clinical dataAtrial fibrillation diagnosisElevated INRMedication changesOral anticoagulantsAnticoagulant therapyCohort studyAppropriate patientsINR testsFunction testsBlood testingPrimary careClinical dataDOACPatientsWarfarinAccuracy of the Veterans Health Administration COVID-19 (VACO) Index for predicting short-term mortality among 1307 US academic medical centre inpatients and 427 224 US Medicare patients
King JT, Yoon JS, Bredl ZM, Habboushe JP, Walker GA, Rentsch CT, Tate JP, Kashyap NM, Hintz RC, Chopra AP, Justice AC. Accuracy of the Veterans Health Administration COVID-19 (VACO) Index for predicting short-term mortality among 1307 US academic medical centre inpatients and 427 224 US Medicare patients. Journal Of Epidemiology & Community Health 2021, 76: 254-260. PMID: 34583962, PMCID: PMC8483922, DOI: 10.1136/jech-2021-216697.Peer-Reviewed Original ResearchMeSH KeywordsAcademic Medical CentersAgedCOVID-19HumansInpatientsMedicareRetrospective StudiesSARS-CoV-2United StatesVeteransVeterans HealthConceptsVACO IndexShort-term mortalityAcademic medical centerCause mortalityMedicare inpatientMedical CenterSingle US academic medical centerCOVID-19 indexTime of diagnosisUS academic medical centersUS Medicare patientsGreater clinical attentionCOVID-19SARS-CoV-2Nationwide cohortComorbidity diagnosesMedicare cohortInpatient populationUS veteransMedicare patientsHospital dataMedicare dataOutpatient dataClinical attentionInpatientsProtease inhibitor-based direct-acting antivirals are associated with increased risk of aminotransferase elevations but not hepatic dysfunction or decompensation
Torgersen J, Newcomb CW, Carbonari DM, Rentsch CT, Park LS, Mezochow A, Mehta RL, Buchwalder L, Tate JP, Bräu N, Bhattacharya D, Lim JK, Taddei TH, Justice AC, Lo Re V. Protease inhibitor-based direct-acting antivirals are associated with increased risk of aminotransferase elevations but not hepatic dysfunction or decompensation. Journal Of Hepatology 2021, 75: 1312-1322. PMID: 34333102, PMCID: PMC8604762, DOI: 10.1016/j.jhep.2021.07.021.Peer-Reviewed Original ResearchConceptsSevere hepatic dysfunctionBaseline FIB-4Acute liver injuryHepatic dysfunctionInhibitor-based treatmentHepatic decompensationFIB-4Liver injuryHigh riskDAA therapyHazard ratioAdvanced liver fibrosis/cirrhosisRisk of ALIProtease inhibitor-based regimensProtease inhibitor-based treatmentLiver fibrosis/cirrhosisInhibitor-based regimensHepatitis C infectionSevere liver dysfunctionFibrosis/cirrhosisInhibitor-based therapyAminotransferase elevationChronic HCVALT elevationC infectionPharmacoepidemiology, 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
HIV infection and COVID-19 death: a population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform
Bhaskaran K, Rentsch CT, MacKenna B, Schultze A, Mehrkar A, Bates CJ, Eggo RM, Morton CE, Bacon SCJ, Inglesby P, Douglas IJ, Walker AJ, McDonald HI, Cockburn J, Williamson EJ, Evans D, Forbes HJ, Curtis HJ, Hulme WJ, Parry J, Hester F, Harper S, Evans SJW, Smeeth L, Goldacre B. HIV infection and COVID-19 death: a population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform. The Lancet HIV 2020, 8: e24-e32. PMID: 33316211, PMCID: PMC7773630, DOI: 10.1016/s2352-3018(20)30305-2.Peer-Reviewed Original ResearchConceptsCOVID-19 deathsNational death registrationsPrimary care dataHazard ratioHIV infectionOpenSAFELY platformBlack ethnicityHealth Research Oxford Biomedical Research CentreElectronic primary care dataPopulation-based cohort analysisDeath registrationUK primary care dataCare dataLarge-scale population-based studyRetrospective cohort studyPrimary care recordsUK Medical Research CouncilPopulation-based studyRisk of deathHealth Data Research UKNon-black individualsNational InstituteCOVID-19 mortalityMedical Research CouncilBiomedical Research CentrePatterns 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
2019
Medical Intensive Care Unit Admission Among Patients With and Without HIV, Hepatitis C Virus, and Alcohol-Related Diagnoses in the United States
Rentsch CT, Tate JP, Steel T, Butt AA, Gibert CL, Huang L, Pisani M, Soo Hoo GW, Crystal S, Rodriguez-Barradas MC, Brown ST, Freiberg MS, Graber CJ, Kim JW, Rimland D, Justice AC, Fiellin DA, Crothers KA, Akgün KM. Medical Intensive Care Unit Admission Among Patients With and Without HIV, Hepatitis C Virus, and Alcohol-Related Diagnoses in the United States. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2019, 80: 145-151. PMID: 30422912, PMCID: PMC6701630, DOI: 10.1097/qai.0000000000001904.Peer-Reviewed Original ResearchConceptsHepatitis C virusAlcohol-related diagnosesAdmission ratesMICU admissionAdmission riskC virusRelative riskIntensive care unit admission rateMedical intensive care unit admissionAge-adjusted admission ratesHCV mono-infected patientsIntensive care unit admissionVeterans Aging Cohort StudyHCV care providersCare unit admissionAging Cohort StudyAdjusted rate ratiosConfidence intervalsVeterans Health AdministrationUnhealthy alcohol useHIV monoHIV-/HCVUnit admissionCause hospitalizationHCV infection
2016
Cohort Profile: The HIV Atlanta Veterans Affairs Cohort Study (HAVACS)
Guest JL, Moanna A, Wirtz S, Caruth EC, Rentsch C, Marconi VC, Rimland D. Cohort Profile: The HIV Atlanta Veterans Affairs Cohort Study (HAVACS). International Journal Of Epidemiology 2016, 46: 790-791g. PMID: 27272185, DOI: 10.1093/ije/dyw071.Peer-Reviewed Original Research