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
2023
Prognostic Factors of COVID‐19: An Umbrella Review Endorsed by the International Society for Pharmacoepidemiology
Sarri G, Liu W, Zabotka L, Freitag A, Claire R, Wangge G, Elvidge J, Dawoud D, Bennett D, Wen X, Li X, Rentsch C, Uddin J, Ali M, Gokhale M, Déruaz‐Luyet A, Moga D, Guo J, Zullo A, Patorno E, Lin K. Prognostic Factors of COVID‐19: An Umbrella Review Endorsed by the International Society for Pharmacoepidemiology. Clinical Pharmacology & Therapeutics 2023, 114: 604-613. PMID: 37342987, DOI: 10.1002/cpt.2977.Peer-Reviewed Original ResearchConceptsPrognostic factorsUmbrella reviewHigh riskIntensive care unit admissionShort-term adverse outcomesCOVID-19AMSTAR-2 toolSystematic literature reviewCare unit admissionRisk of hospitalizationKey prognostic factorsHigh-risk groupCoronavirus disease 2019 (COVID-19) pandemicCOVID-19 outcomesDisease 2019 pandemicComparative effectiveness researchInternational SocietyCOVID-19 disparitiesUnit admissionLong COVIDMale sexAdverse outcomesOptimal careFemale sexHeart diseaseTrends, variation, and clinical characteristics of recipients of antiviral drugs and neutralising monoclonal antibodies for covid-19 in community settings: retrospective, descriptive cohort study of 23.4 million people in OpenSAFELY
Green A, Curtis H, Higgins R, Nab L, Mahalingasivam V, Smith R, Mehrkar A, Inglesby P, Drysdale H, DeVito N, Croker R, Rentsch C, Bhaskaran K, Tazare J, Zheng B, Andrews C, Bacon S, Davy S, Dillingham I, Evans D, Fisher L, Hickman G, Hopcroft L, Hulme W, Massey J, MacDonald O, Morley J, Morton C, Park R, Walker A, Ward T, Wiedemann M, Bates C, Cockburn J, Parry J, Hester F, Harper S, Douglas I, Evans S, Goldacre B, Tomlinson L, MacKenna B. Trends, variation, and clinical characteristics of recipients of antiviral drugs and neutralising monoclonal antibodies for covid-19 in community settings: retrospective, descriptive cohort study of 23.4 million people in OpenSAFELY. BMJ Medicine 2023, 2: e000276. PMID: 36936265, PMCID: PMC9951378, DOI: 10.1136/bmjmed-2022-000276.Peer-Reviewed Original ResearchDescriptive cohort studyHigh-risk groupSevere outcomesHigh riskCohort studyHome residentsRisk groupsAntiviral drugsCOVID-19Community settingsMonoclonal antibodiesCasirivimab/imdevimabLow treatment coverageNHS regionProportion of patientsCOVID-19 infectionRoutine clinical dataOpenSAFELY platformUnvaccinated patientsClinical characteristicsLiver diseaseClinical dataTreatment coverageEligibility criteriaPatients
2022
Association between household composition and severe COVID-19 outcomes in older people by ethnicity: an observational cohort study using the OpenSAFELY platform
Wing K, Grint DJ, Mathur R, Gibbs HP, Hickman G, Nightingale E, Schultze A, Forbes H, Nafilyan V, Bhaskaran K, Williamson E, House T, Pellis L, Herrett E, Gautam N, Curtis HJ, Rentsch CT, Wong AYS, MacKenna B, Mehrkar A, Bacon S, Douglas IJ, Evans SJW, Tomlinson L, Goldacre B, Eggo RM. Association between household composition and severe COVID-19 outcomes in older people by ethnicity: an observational cohort study using the OpenSAFELY platform. International Journal Of Epidemiology 2022, 51: 1745-1760. PMID: 35962974, PMCID: PMC9384728, DOI: 10.1093/ije/dyac158.Peer-Reviewed Original ResearchComparative effectiveness of ChAdOx1 versus BNT162b2 covid-19 vaccines in health and social care workers in England: cohort study using OpenSAFELY
Hulme WJ, Williamson EJ, Green ACA, Bhaskaran K, McDonald HI, Rentsch CT, Schultze A, Tazare J, Curtis HJ, Walker AJ, Tomlinson LA, Palmer T, Horne EMF, MacKenna B, Morton CE, Mehrkar A, Morley J, Fisher L, Bacon SCJ, Evans D, Inglesby P, Hickman G, Davy S, Ward T, Croker R, Eggo RM, Wong AYS, Mathur R, Wing K, Forbes H, Grint DJ, Douglas IJ, Evans SJW, Smeeth L, Bates C, Cockburn J, Parry J, Hester F, Harper S, Sterne JAC, Hernán MA, Goldacre B. Comparative effectiveness of ChAdOx1 versus BNT162b2 covid-19 vaccines in health and social care workers in England: cohort study using OpenSAFELY. The BMJ 2022, 378: e068946. PMID: 35858680, PMCID: PMC9295078, DOI: 10.1136/bmj-2021-068946.Peer-Reviewed Original ResearchConceptsCovid-19 related hospital admissionCOVID-19 vaccineCOVID-19 diseaseRelated hospital admissionsCumulative incidenceHospital admissionSocial care workersCare workersCohort studyHealthcare workersPositive SARS-CoV-2 testBNT162b2 COVID-19 vaccineChAdOx1 COVID-19 vaccineSARS-CoV-2 positive testSARS-CoV-2 infectionSARS-CoV-2 alpha variantSARS-CoV-2 testCOVID-19First vaccine doseComparative effectiveness trialFirst dose vaccinationBNT162b2 mRNAHospital attendanceVaccine doseVaccine typesDescribing 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 ResearchConceptsPositive 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 careLong COVID burden and risk factors in 10 UK longitudinal studies and electronic health records
Thompson EJ, Williams DM, Walker AJ, Mitchell RE, Niedzwiedz CL, Yang TC, Huggins CF, Kwong ASF, Silverwood RJ, Di Gessa G, Bowyer RCE, Northstone K, Hou B, Green MJ, Dodgeon B, Doores KJ, Duncan EL, Williams FMK, Steptoe A, Porteous D, McEachan R, Tomlinson L, Goldacre B, Patalay P, Ploubidis G, Katikireddi S, Tilling K, Rentsch C, Timpson N, Chaturvedi N, Steves C. Long COVID burden and risk factors in 10 UK longitudinal studies and electronic health records. Nature Communications 2022, 13: 3528. PMID: 35764621, PMCID: PMC9240035, DOI: 10.1038/s41467-022-30836-0.Peer-Reviewed Original ResearchConceptsLong COVIDRisk factorsCardio-metabolic parametersOverweight/obesityElectronic healthcare recordsCOVID-19Community-based individualsSelf-reported COVID-19Electronic health recordsLongitudinal study sampleProlonged symptomsCOVID-19 casesFemale sexDiagnostic codesWhite ethnicityUK longitudinal studyMental healthHealth recordsStudy sampleEHR dataLongitudinal studySymptomsHealthcare recordsSpring 2021BurdenRates of serious clinical outcomes in survivors of hospitalisation with COVID-19 in England: a descriptive cohort study within the OpenSAFELY platform
Collaborative T, Tazare J, Walker A, Tomlinson L, Hickman G, Rentsch C, Williamson E, Bhaskaran K, Evans D, Wing K, Mathur R, Wong A, Schultze A, Bacon S, Bates C, Morton C, Curtis H, Nightingale E, McDonald H, Mehrkar A, Inglesby P, Davy S, MacKenna B, Cockburn J, Hulme W, Warren-Gash C, Bhate K, Nitsch D, Powell E, Mulick A, Forbes H, Minassian C, Croker R, Parry J, Hester F, Harper S, Eggo R, Evans S, Smeeth L, Douglas I, Goldacre B. Rates of serious clinical outcomes in survivors of hospitalisation with COVID-19 in England: a descriptive cohort study within the OpenSAFELY platform. Wellcome Open Research 2022, 7: 142. PMID: 37362009, PMCID: PMC10285340, DOI: 10.12688/wellcomeopenres.17735.1.Peer-Reviewed Original ResearchDeep vein thrombosisCOVID-19 patientsHigh riskGeneral populationOpenSAFELY platformPulmonary embolismMyocardial infarctionCOVID-19Type 2 diabetes mellitus diagnosisSerious clinical outcomesPrimary care recordsDescriptive cohort studyCOVID-19 populationRisk of outcomesDiabetes mellitus diagnosisAge/sexMajority of outcomesPulmonary complicationsComparator cohortCohort studyIschemic strokeVein thrombosisHeart failureClinical outcomesAdverse outcomesISPE‐Endorsed Guidance in Using Electronic Health Records for Comparative Effectiveness Research in COVID‐19: Opportunities and Trade‐Offs
Sarri G, Bennett D, Debray T, Deruaz‐Luyet A, Gabarró M, Largent JA, Li X, Liu W, Lund JL, Moga DC, Gokhale M, Rentsch CT, Wen X, Yanover C, Ye Y, Yun H, Zullo AR, Lin KJ. ISPE‐Endorsed Guidance in Using Electronic Health Records for Comparative Effectiveness Research in COVID‐19: Opportunities and Trade‐Offs. Clinical Pharmacology & Therapeutics 2022, 112: 990-999. PMID: 35170021, PMCID: PMC9087010, DOI: 10.1002/cpt.2560.Peer-Reviewed Original ResearchConceptsComparative effectiveness researchElectronic health recordsRoutine careCOVID-19Health recordsCoronavirus disease 2019 (COVID-19) pandemicLong-term treatment effectsEHR dataEffectiveness researchDisease 2019 pandemicRigorous study designsCOVID-19-related questionsAscertainment of outcomesVaccine effectivenessComplex patientsExposure statusHealthcare databasesTherapeutic interventionsOptimal managementHealthcare professionalsClinical researchStudy designTreatment effectsAppropriate statistical methodsInternational SocietyMortality among Care Home Residents in England during the first and second waves of the COVID-19 pandemic: an observational study of 4.3 million adults over the age of 65
Schultze A, Nightingale E, Evans D, Hulme W, Rosello A, Bates C, Cockburn J, MacKenna B, Curtis HJ, Morton CE, Croker R, Bacon S, McDonald HI, Rentsch CT, Bhaskaran K, Mathur R, Tomlinson LA, Williamson EJ, Forbes H, Tazare J, Grint D, Walker AJ, Inglesby P, DeVito NJ, Mehrkar A, Hickman G, Davy S, Ward T, Fisher L, Green AC, Wing K, Wong AY, McManus R, Parry J, Hester F, Harper S, Evans SJ, Douglas IJ, Smeeth L, Eggo RM, Goldacre B, Leon DA. Mortality among Care Home Residents in England during the first and second waves of the COVID-19 pandemic: an observational study of 4.3 million adults over the age of 65. The Lancet Regional Health - Europe 2022, 14: 100295. PMID: 35036983, PMCID: PMC8743167, DOI: 10.1016/j.lanepe.2021.100295.Peer-Reviewed Original ResearchCare home residentsComparative mortality figureHome residentsMortality riskCOVID-19Care homesCOVID-19 mortality riskCare home populationUnderlying frailtyHome populationObservational studyMortality figuresNHS EnglandSecond waveOlder residentsCOVID-19 pandemicRiskMortalityPrivate homesCareWomenAdultsMenProtective measuresFirst wave
2021
Dexamethasone in hospitalised COVID-19 patients not on intensive respiratory support
Crothers K, DeFaccio R, Tate J, Alba PR, Goetz MB, Jones B, King JT, Marconi V, Ohl ME, Rentsch CT, Rodriguez-Barradas MC, Shahrir S, Justice AC, Akgün KM, Group F. Dexamethasone in hospitalised COVID-19 patients not on intensive respiratory support. European Respiratory Journal 2021, 60: 2102532. PMID: 34824060, PMCID: PMC8841623, DOI: 10.1183/13993003.02532-2021.Peer-Reviewed Original ResearchConceptsIntensive respiratory supportHospitalised COVID-19 patientsCOVID-19 patientsNasal cannulaEarly dexamethasoneRespiratory supportSevere acute respiratory syndrome coronavirus 2Low-flow nasal cannulaAcute respiratory syndrome coronavirus 2Coronavirus disease 2019 (COVID-19) patientsRespiratory syndrome coronavirus 2Cox proportional hazards modelUS Veterans Affairs hospitalsSyndrome coronavirus 2Veterans Affairs hospitalProportional hazards modelCOVID-19Prior corticosteroidsCause mortalityMortality benefitTotal patientsCoronavirus 2Unexposed groupReal-world findingsEarly initiationAssociation 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 analysisAccuracy 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 ResearchConceptsVACO 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 attentionInpatientsOpenSAFELY NHS Service Restoration Observatory 1: primary care clinical activity in England during the first wave of COVID-19
Curtis HJ, MacKenna B, Croker R, Inglesby P, Walker AJ, Morley J, Mehrkar A, Morton CE, Bacon S, Hickman G, Bates C, Evans D, Ward T, Cockburn J, Davy S, Bhaskaran K, Schultze A, Rentsch CT, Williamson EJ, Hulme WJ, McDonald HI, Tomlinson L, Mathur R, Drysdale H, Eggo RM, Wing K, Wong AY, Forbes H, Parry J, Hester F, Harper S, Evans SJ, Douglas IJ, Smeeth L, Goldacre B, . OpenSAFELY NHS Service Restoration Observatory 1: primary care clinical activity in England during the first wave of COVID-19. British Journal Of General Practice 2021, 72: bjgp.2021.0380. PMID: 34750105, PMCID: PMC8589464, DOI: 10.3399/bjgp.2021.0380.Peer-Reviewed Original ResearchConceptsClinical activityGeneral practicePre-pandemic levelsNormal levelsPrimary care dataHealthcare activitiesAsthma reviewCohort studyRespiratory symptomsRespiratory infectionsDisease reviewDiseases codesRespiratory diseaseLaboratory testsNHS EnglandPatient recordsCare dataSustained dropCOVD-19 pandemicCOVID-19COVID-19 pandemicMost laboratory testsBroader recoverySmall reductionPandemicRisks 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 disabilitiesClinical coding of long COVID in English primary care: a federated analysis of 58 million patient records in situ using OpenSAFELY
Walker AJ, MacKenna B, Inglesby P, Tomlinson L, Rentsch CT, Curtis HJ, Morton CE, Morley J, Mehrkar A, Bacon S, Hickman G, Bates C, Croker R, Evans D, Ward T, Cockburn J, Davy S, Bhaskaran K, Schultze A, Williamson EJ, Hulme WJ, McDonald HI, Mathur R, Eggo RM, Wing K, Wong AY, Forbes H, Tazare J, Parry J, Hester F, Harper S, O’Hanlon S, Eavis A, Jarvis R, Avramov D, Griffiths P, Fowles A, Parkes N, Douglas IJ, Evans SJ, Smeeth L, Goldacre B, . Clinical coding of long COVID in English primary care: a federated analysis of 58 million patient records in situ using OpenSAFELY. British Journal Of General Practice 2021, 71: bjgp.2021.0301. PMID: 34340970, PMCID: PMC8340730, DOI: 10.3399/bjgp.2021.0301.Peer-Reviewed Original ResearchConceptsLong COVIDEnglish primary carePrimary careDiagnostic codesPopulation-based cohort studyAcute COVID-19Different diagnostic thresholdsProportion of peoplePlanning of servicesPersistent symptomsCohort studyGeneral practiceClinicians' understandingDiagnostic thresholdNHS EnglandPatient recordsClinical codesClinical codingCareCOVID-19East of EnglandPatientsDemographic factorsCOVIDWeeksPharmacoepidemiology, 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 2019HydroxychloroquineFactors associated with deaths due to COVID-19 versus other causes: population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform
Bhaskaran K, Bacon S, Evans SJ, Bates CJ, Rentsch CT, MacKenna B, Tomlinson L, Walker AJ, Schultze A, Morton CE, Grint D, Mehrkar A, Eggo RM, Inglesby P, Douglas IJ, McDonald HI, Cockburn J, Williamson EJ, Evans D, Curtis HJ, Hulme WJ, Parry J, Hester F, Harper S, Spiegelhalter D, Smeeth L, Goldacre B. Factors associated with deaths due to COVID-19 versus other causes: population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform. The Lancet Regional Health - Europe 2021, 6: 100109. PMID: 33997835, PMCID: PMC8106239, DOI: 10.1016/j.lanepe.2021.100109.Peer-Reviewed Original ResearchNon-COVID deathsCOVID-19 deathsNational death registrationsPrimary care dataOpenSAFELY platformCOVID-19Health Research Oxford Biomedical Research CentrePopulation-based cohort analysisDeath registrationUK primary care dataCare dataPre-existing medical conditionsCOVID-19 mortality riskChronic liver diseaseHistory of cancerUK Medical Research CouncilHealth Data Research UKNational InstituteCOVID-19 mortalityMagnitude of associationMedical Research CouncilNon-white ethnic groupsBiomedical Research CentreCohort studyLiver diseaseAssociation 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 riskUK prevalence of underlying conditions which increase the risk of severe COVID-19 disease: a point prevalence study using electronic health records
Walker JL, Grint DJ, Strongman H, Eggo RM, Peppa M, Minassian C, Mansfield KE, Rentsch CT, Douglas IJ, Mathur R, Wong AYS, Quint JK, Andrews N, Bernal JL, Scott JA, Ramsay M, Smeeth L, McDonald HI. UK prevalence of underlying conditions which increase the risk of severe COVID-19 disease: a point prevalence study using electronic health records. BMC Public Health 2021, 21: 484. PMID: 33706738, PMCID: PMC7948667, DOI: 10.1186/s12889-021-10427-2.Peer-Reviewed Original ResearchConceptsSevere COVID-19Health conditionsElectronic health recordsHigh riskRisk populationsCOVID-19Clinical Practice Research Datalink GOLDSevere COVID-19 diseaseSecondary care recordsChronic kidney diseaseHealth recordsChronic liver diseasePoint prevalence studyBinomial exact confidence intervalsOlder age groupsPublic health interventionsWorking-aged individualsCOVID-19 diseaseWorking-aged adultsUK prevalenceCurrent asthmaLiver diseaseCancer survivorsPoint prevalenceKidney disease