2022
Overall and cause-specific hospitalisation and death after COVID-19 hospitalisation in England: A cohort study using linked primary care, secondary care, and death registration data in the OpenSAFELY platform
Bhaskaran K, Rentsch CT, Hickman G, Hulme WJ, Schultze A, Curtis HJ, Wing K, Warren-Gash C, Tomlinson L, Bates CJ, Mathur R, MacKenna B, Mahalingasivam V, Wong A, Walker AJ, Morton CE, Grint D, Mehrkar A, Eggo RM, Inglesby P, Douglas IJ, McDonald HI, Cockburn J, Williamson EJ, Evans D, Parry J, Hester F, Harper S, Evans SJ, Bacon S, Smeeth L, Goldacre B. Overall and cause-specific hospitalisation and death after COVID-19 hospitalisation in England: A cohort study using linked primary care, secondary care, and death registration data in the OpenSAFELY platform. PLOS Medicine 2022, 19: e1003871. PMID: 35077449, PMCID: PMC8789178, DOI: 10.1371/journal.pmed.1003871.Peer-Reviewed Original ResearchConceptsCOVID-19 patientsCOVID-19 hospitalisationGeneral population controlsCOVID-19 groupCOVID-19 survivorsHospital admissionHigh riskInfluenza hospitalisationsCause mortalityCohort studyInfluenza patientsPrimary careGeneral populationInitial infectionAcute coronavirus disease 2019Lower respiratory tract infectionsSevere COVID-19 outcomesLong-term adverse outcomesCOVID-19 hospital admissionsSpecific causesPopulation controlsCause-specific hospitalisationRespiratory tract infectionsCause-specific outcomesPotential risk factors
2021
Protease 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 infectionAssociation between living with children and outcomes from covid-19: OpenSAFELY cohort study of 12 million adults in England
Forbes H, Morton CE, Bacon S, McDonald HI, Minassian C, Brown JP, Rentsch CT, Mathur R, Schultze A, DeVito NJ, MacKenna B, Hulme WJ, Croker R, Walker AJ, Williamson EJ, Bates C, Mehrkar A, Curtis HJ, Evans D, Wing K, Inglesby P, Drysdale H, Wong AYS, Cockburn J, McManus R, Parry J, Hester F, Harper S, Douglas IJ, Smeeth L, Evans SJW, Bhaskaran K, Eggo RM, Goldacre B, Tomlinson LA. Association between living with children and outcomes from covid-19: OpenSAFELY cohort study of 12 million adults in England. The BMJ 2021, 372: n628. PMID: 33737413, PMCID: PMC7970340, DOI: 10.1136/bmj.n628.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 infectionIntensive care admissionHospital admissionCare admissionCohort studyCOVID-19Covid-19 related hospital admissionSevere acute respiratory syndrome coronavirus 2Acute respiratory syndrome coronavirus 2Respiratory syndrome coronavirus 2Wave 2Primary care dataRelated hospital admissionsSyndrome coronavirus 2Adults 65 yearsCohort of adultsCOVID-19 outcomesCoronavirus disease 2019COVID-19 mortalityRisk of infectionWave 1UK pandemicHazard ratioIntensive careAbsolute riskStatin exposure and risk of cancer in people with and without HIV infection.
Bedimo RJ, Park LS, Shebl FM, Sigel K, Rentsch CT, Crothers K, Rodriguez-Barradas MC, Goetz MB, Butt AA, Brown ST, Gibert C, Justice AC, Tate JP. Statin exposure and risk of cancer in people with and without HIV infection. AIDS 2021, 35: 325-334. PMID: 33181533, PMCID: PMC7775280, DOI: 10.1097/qad.0000000000002748.Peer-Reviewed Original ResearchMeSH KeywordsCohort StudiesFemaleHIV InfectionsHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleNeoplasmsProportional Hazards ModelsConceptsVeterans Aging Cohort StudyStatin useStatin exposureHazard ratioCancer riskLower riskPropensity score-matched cohortCox regression hazard ratiosAging Cohort StudyAnti-inflammatory effectsRegression hazard ratiosNon-Hodgkin lymphomaConfidence intervalsCancer registry linkagePropensity score-matched sampleRisk of cancerDeath overallUninfected patientsCohort studyIncident cancerRegistry linkageHIV infectionHIV statusStatin initiatorsUninfected persons
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 CentreRisk of COVID-19-related death among patients with chronic obstructive pulmonary disease or asthma prescribed inhaled corticosteroids: an observational cohort study using the OpenSAFELY platform
Schultze A, Walker AJ, MacKenna B, Morton CE, Bhaskaran K, Brown JP, Rentsch CT, Williamson E, Drysdale H, Croker R, Bacon S, Hulme W, Bates C, Curtis HJ, Mehrkar A, Evans D, Inglesby P, Cockburn J, McDonald HI, Tomlinson L, Mathur R, Wing K, Wong AYS, Forbes H, Parry J, Hester F, Harper S, Evans SJW, Quint J, Smeeth L, Douglas IJ, Goldacre B, Collaborative O. Risk of COVID-19-related death among patients with chronic obstructive pulmonary disease or asthma prescribed inhaled corticosteroids: an observational cohort study using the OpenSAFELY platform. The Lancet Respiratory Medicine 2020, 8: 1106-1120. PMID: 32979987, PMCID: PMC7515601, DOI: 10.1016/s2213-2600(20)30415-x.Peer-Reviewed Original ResearchMeSH KeywordsAdministration, InhalationAdolescentAdrenal Cortex HormonesAdultAgedAged, 80 and overAsthmaBetacoronavirusCohort StudiesCoronavirus InfectionsCOVID-19Electronic Health RecordsEnglandFemaleHumansMaleMiddle AgedMuscarinic AntagonistsPandemicsPneumonia, ViralProportional Hazards ModelsPulmonary Disease, Chronic ObstructiveRegression AnalysisSARS-CoV-2Young AdultConceptsChronic obstructive pulmonary diseaseCOVID-19-related deathsIndex dateObstructive pulmonary diseaseElectronic health recordsOpenSAFELY platformRespiratory medicationsCOPD cohortHazard ratioPulmonary diseaseAsthma cohortPrimary care electronic health recordsSevere acute respiratory syndrome coronavirus 2Acute respiratory syndrome coronavirus 2Respiratory syndrome coronavirus 2High-dose ICSHigh-dose ICSsRegular ICS useΒ-agonistsObservational cohort studyUK Medical Research CouncilRisk of deathCox regression modelAcute respiratory diseaseSyndrome coronavirus 2Factors 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
2018
Impact of linkage quality on inferences drawn from analyses using data with high rates of linkage errors in rural Tanzania
Rentsch CT, Harron K, Urassa M, Todd J, Reniers G, Zaba B. Impact of linkage quality on inferences drawn from analyses using data with high rates of linkage errors in rural Tanzania. BMC Medical Research Methodology 2018, 18: 165. PMID: 30526518, PMCID: PMC6288858, DOI: 10.1186/s12874-018-0632-5.Peer-Reviewed Original Research
2016
Baseline, Time-Updated, and Cumulative HIV Care Metrics for Predicting Acute Myocardial Infarction and All-Cause Mortality
Salinas JL, Rentsch C, Marconi VC, Tate J, Budoff M, Butt AA, Freiberg MS, Gibert CL, Goetz MB, Leaf D, Rodriguez-Barradas MC, Justice AC, Rimland D. Baseline, Time-Updated, and Cumulative HIV Care Metrics for Predicting Acute Myocardial Infarction and All-Cause Mortality. Clinical Infectious Diseases 2016, 63: 1423-1430. PMID: 27539575, PMCID: PMC5106607, DOI: 10.1093/cid/ciw564.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionIncident acute myocardial infarctionVeterans Aging Cohort StudyCombination antiretroviral therapyCardiovascular risk factorsHIV-1 RNAVACS IndexHazard ratioMyocardial infarctionRisk factorsMultivariable proportional hazards modelsVACS Index scoreLast clinic visitAging Cohort StudyHuman immunodeficiency virusProportional hazards modelCART initiationAntiretroviral therapyCause mortalityCD4 countClinic visitsCohort studyOrgan injuryPrimary outcomeImmunodeficiency virus
2015
Alcohol-Related Diagnoses and All-Cause Hospitalization Among HIV-Infected and Uninfected Patients: A Longitudinal Analysis of United States Veterans from 1997 to 2011
Rentsch C, Tate JP, Akgün KM, Crystal S, Wang KH, Ryan Greysen S, Wang EA, Bryant KJ, Fiellin DA, Justice AC, Rimland D. Alcohol-Related Diagnoses and All-Cause Hospitalization Among HIV-Infected and Uninfected Patients: A Longitudinal Analysis of United States Veterans from 1997 to 2011. AIDS And Behavior 2015, 20: 555-564. PMID: 25711299, PMCID: PMC4550577, DOI: 10.1007/s10461-015-1025-y.Peer-Reviewed Original ResearchConceptsAlcohol-related diagnosesHospitalization ratesUnited States veteransUninfected patientsCause hospitalizationHIV infectionStates veteransUninfected individualsMultivariable Cox proportional hazards modelsCox proportional hazards modelOverall hospitalization rateProportional hazards modelCancer admissionsAntiretroviral therapyMultivariable adjustmentHIV serostatusComorbidity variablesHospitalization trendsRelative riskHigh riskHazards modelHIVHospitalizationDisease categoriesPatients
2014
Combining Epidemiologic and Biostatistical Tools to Enhance Variable Selection in HIV Cohort Analyses
Rentsch C, Bebu I, Guest JL, Rimland D, Agan BK, Marconi V. Combining Epidemiologic and Biostatistical Tools to Enhance Variable Selection in HIV Cohort Analyses. PLOS ONE 2014, 9: e87352. PMID: 24489902, PMCID: PMC3906149, DOI: 10.1371/journal.pone.0087352.Peer-Reviewed Original ResearchConceptsVariable selectionVariable selection approachSignificance testsParsimonious modelInformation theoryBayesian argumentInformation criterionPosterior probabilityBiostatistical proceduresAveraging modelBiostatistical toolsThird methodSelection procedureBest fitSelection approachModelSurvival modelsDifferent methodsTheoryApproachStepwise selection procedureRegression modelsProbabilityStatistical PackageMultivariate regression model
2013
A Comparison of HAART Outcomes between the US Military HIV Natural History Study (NHS) and HIV Atlanta Veterans Affairs Cohort Study (HAVACS)
Guest JL, Weintrob AC, Rimland D, Rentsch C, Bradley WP, Agan BK, Marconi VC, Group I. A Comparison of HAART Outcomes between the US Military HIV Natural History Study (NHS) and HIV Atlanta Veterans Affairs Cohort Study (HAVACS). PLOS ONE 2013, 8: e62273. PMID: 23658717, PMCID: PMC3641058, DOI: 10.1371/journal.pone.0062273.Peer-Reviewed Original ResearchConceptsNatural history studiesUS Military HIV Natural History StudyVeterans AffairsCohort studyClinical outcomesHIV treatmentComprehensive HIV treatmentHealthcare systemHistory studiesClinic retentionHAART initiationHAART outcomesCause mortalityAIDS eventsHIV diagnosisSurvival disparitiesStudy cohortDemographic variablesMedication adherenceCrude analysisSurvival ratePatientsSubstance abuseHIVCare