2024
Impact of COVID-19 on recorded blood pressure screening and hypertension management in England: an analysis of monthly changes in the quality and outcomes framework indicators in OpenSAFELY
Wiedemann M, Speed V, Cunningham C, Higgins R, Curtis H, Andrews C, Fisher L, Hopcroft L, Rentsch C, Mahalingasivam V, Tomlinson L, Morton C, Samuel M, Green A, Wood C, Brown A, Massey J, Walters C, Smith R, Inglesby P, Evans D, Maude S, Dillingham I, Walker A, Morley J, Mehrkar A, Bacon S, Bates C, Cockburn J, Parry J, Hester F, McManus R, Goldacre B, MacKenna B. Impact of COVID-19 on recorded blood pressure screening and hypertension management in England: an analysis of monthly changes in the quality and outcomes framework indicators in OpenSAFELY. Open Heart 2024, 11: e002732. PMID: 39214534, DOI: 10.1136/openhrt-2024-002732.Peer-Reviewed Original ResearchConceptsBlood pressure screeningPressure screeningPercentage of patientsHypertension prevalenceHypertension managementPopulation-based cohort studyRecord of hypertensionCardiovascular disease managementClinical subgroupsQOF indicatorsScreening ratesPrimary careGeneral practiceHome statusNHS patientsOlder peopleBlood pressure measurementsCare schemesCohort studyDisease managementImpact of COVID-19COVID-19Framework indicatorsNational qualityNHS
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 factorsGeographic and temporal variation in racial and ethnic disparities in SARS-CoV-2 positivity between February 2020 and August 2021 in the United States
Ferguson JM, Justice AC, Osborne TF, Magid HSA, Purnell AL, Rentsch CT. Geographic and temporal variation in racial and ethnic disparities in SARS-CoV-2 positivity between February 2020 and August 2021 in the United States. Scientific Reports 2022, 12: 273. PMID: 34997001, PMCID: PMC8741774, DOI: 10.1038/s41598-021-03967-5.Peer-Reviewed Original Research
2021
Association between warfarin and COVID-19-related outcomes compared with direct oral anticoagulants: population-based cohort study
Wong A, Tomlinson L, Brown J, Elson W, Walker A, Schultze A, Morton C, Evans D, Inglesby P, MacKenna B, Bhaskaran K, Rentsch C, Powell E, Williamson E, Croker R, Bacon S, Hulme W, Bates C, Curtis H, Mehrkar A, Cockburn J, McDonald H, Mathur R, Wing K, Forbes H, Eggo R, Evans S, Smeeth L, Goldacre B, Douglas I. Association between warfarin and COVID-19-related outcomes compared with direct oral anticoagulants: population-based cohort study. Journal Of Hematology & Oncology 2021, 14: 172. PMID: 34666811, PMCID: PMC8525065, DOI: 10.1186/s13045-021-01185-0.Peer-Reviewed Original ResearchConceptsDirect oral anticoagulantsPopulation-based cohort studyCOVID-19-related outcomesSevere COVID-19Oral anticoagulantsCohort studyHazard ratioLower riskNegative control outcome analysisSevere COVID-19 diseaseNon-valvular atrial fibrillationPrimary care dataCOVID-19 outcomesCOVID-19COVID-19 diseaseNegative control outcomesDOAC usersOpenSAFELY platformWarfarin usersHospital admissionAtrial fibrillationClinical evidenceCox regressionResultsA totalOutcome analysisRisks of covid-19 hospital admission and death for people with learning disability: population based cohort study using the OpenSAFELY platform
Williamson EJ, McDonald HI, Bhaskaran K, Walker AJ, Bacon S, Davy S, Schultze A, Tomlinson L, Bates C, Ramsay M, Curtis HJ, Forbes H, Wing K, Minassian C, Tazare J, Morton CE, Nightingale E, Mehrkar A, Evans D, Inglesby P, MacKenna B, Cockburn J, Rentsch CT, Mathur R, Wong AYS, Eggo RM, Hulme W, Croker R, Parry J, Hester F, Harper S, Douglas IJ, Evans SJW, Smeeth L, Goldacre B, Kuper H. Risks of covid-19 hospital admission and death for people with learning disability: population based cohort study using the OpenSAFELY platform. The BMJ 2021, 374: n1592. PMID: 34261639, PMCID: PMC8278652, DOI: 10.1136/bmj.n1592.Peer-Reviewed Original ResearchConceptsCovid-19 related hospital admissionRelated hospital admissionsNon-COVID deathsHospital admissionOpenSAFELY platformDown syndromeCohort studyHazard ratioCerebral palsyDisability registersGeneral practiceCOVID-19COVID-19 hospital admissionsMain exposure groupsCOVID-19 vaccinationHospital admission dataPatient-level dataLow event ratesNon-COVID causesCOVID-19 testingTargeted preventive measuresWave 2Wave 1Electronic health recordsProfound learning disabilitiesPharmacoepidemiology, 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 2019HydroxychloroquineEarly initiation of prophylactic anticoagulation for prevention of coronavirus disease 2019 mortality in patients admitted to hospital in the United States: cohort study
Rentsch CT, Beckman JA, Tomlinson L, Gellad WF, Alcorn C, Kidwai-Khan F, Skanderson M, Brittain E, King JT, Ho YL, Eden S, Kundu S, Lann MF, Greevy RA, Ho PM, Heidenreich PA, Jacobson DA, Douglas IJ, Tate JP, Evans SJW, Atkins D, Justice AC, Freiberg MS. Early initiation of prophylactic anticoagulation for prevention of coronavirus disease 2019 mortality in patients admitted to hospital in the United States: cohort study. The BMJ 2021, 372: n311. PMID: 33574135, PMCID: PMC7876672, DOI: 10.1136/bmj.n311.Peer-Reviewed Original ResearchConceptsProphylactic anticoagulationDay mortalityEarly initiationTherapeutic anticoagulationCohort studyInpatient mortalityHospital admissionAcute respiratory syndrome coronavirus 2 infectionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionCoronavirus disease 2019 (COVID-19) mortalitySyndrome coronavirus 2 infectionCOVID-19History of anticoagulationSerious bleeding eventsCoronavirus 2 infectionHours of admissionObservational cohort studyRisk of deathCoronavirus disease 2019Real-world evidenceBleeding eventsSubcutaneous heparinHospital stayNationwide cohortCumulative incidence
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 CentreDevelopment and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index
King JT, Yoon JS, Rentsch CT, Tate JP, Park LS, Kidwai-Khan F, Skanderson M, Hauser RG, Jacobson DA, Erdos J, Cho K, Ramoni R, Gagnon DR, Justice AC. Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index. PLOS ONE 2020, 15: e0241825. PMID: 33175863, PMCID: PMC7657526, DOI: 10.1371/journal.pone.0241825.Peer-Reviewed Original ResearchConceptsCharlson Comorbidity IndexVeterans Health AdministrationVACO IndexValidation cohortMedical administrative dataDevelopment cohortSARS-CoV-2 testing resultsMortality indexICD-10 diagnosis codesUS Veterans Health AdministrationSARS-CoV-2 infectionPre-existing medical conditionsCOVID-19 mortality riskPeripheral vascular diseaseCOVID-19 patientsCOVID-19 infectionCOVID-19 mortalitySARS-CoV-2Administrative dataLogistic regression modelsRace/ethnicityCohort subgroupsComorbidity indexOverall mortalityComorbid conditionsRisk 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 2Patterns 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 2019Factors 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
2015
Association between vitamin D deficiency and methicillin-resistant Staphylococcus aureus infection
Thomason J, Rentsch C, Stenehjem EA, Hidron AI, Rimland D. Association between vitamin D deficiency and methicillin-resistant Staphylococcus aureus infection. Infection 2015, 43: 715-722. PMID: 26141819, DOI: 10.1007/s15010-015-0815-5.Peer-Reviewed Original ResearchConceptsMRSA-infected patientsMethicillin-resistant Staphylococcus aureus (MRSA) infectionsVitamin D levelsStaphylococcus aureus infectionMRSA infectionD levelsInfected patientsAureus infectionLow serum vitamin D levelsMean vitamin D levelSerum vitamin D levelsMultivariate logistic regression modelVitamin D deficiencyMultivariate logistic regressionPotential confounding variablesLogistic regression modelsMethodsAll patientsD deficiencyHIV statusVitamin DResultsA totalInfection databasePatientsConfounding variablesInfection