2022
Long 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 2021BurdenComparison of methods for predicting COVID-19-related death in the general population using the OpenSAFELY platform
Williamson E, Tazare J, Bhaskaran K, McDonald H, Walker A, Tomlinson L, Wing K, Bacon S, Bates C, Curtis H, Forbes H, Minassian C, Morton C, Nightingale E, Mehrkar A, Evans D, Nicholson B, Leon D, Inglesby P, MacKenna B, Davies N, DeVito N, Drysdale H, Cockburn J, Hulme W, Morley J, Douglas I, Rentsch C, Mathur R, Wong A, Schultze A, Croker R, Parry J, Hester F, Harper S, Grieve R, Harrison D, Steyerberg E, Eggo R, Diaz-Ordaz K, Keogh R, Evans S, Smeeth L, Goldacre B. Comparison of methods for predicting COVID-19-related death in the general population using the OpenSAFELY platform. Diagnostic And Prognostic Research 2022, 6: 6. PMID: 35197114, PMCID: PMC8865947, DOI: 10.1186/s41512-022-00120-2.Peer-Reviewed Original ResearchCOVID-19-related deathsInfection prevalenceOpenSAFELY platformGeneral populationNational Statistics mortality dataNumber of comorbiditiesRisk prediction toolsAbsolute risk estimationStatistics mortality dataAbsolute risk estimatesCase-cohort sampleRisk prediction modelTarget populationElectronic health record systemsPrimary careCOVID-19 casesGeneral practiceEmergency careHealth record systemsLocal infection prevalenceNHS EnglandBasic demographicsPrevalenceMortality dataRisk estimates
2020
COVID-19 in Great Britain: epidemiological and clinical characteristics of the first few hundred (FF100) cases: a descriptive case series and case control analysis
Boddington N, Charlett A, Elgohari S, Walker J, McDonald H, Byers C, Coughlan L, Vilaplana T, Whillock R, Sinnathamby M, Panagiotopoulos N, Letley L, MacDonald P, Vivancos R, Edeghere O, Shingleton J, Bennett E, Grint D, Strongman H, Mansfield K, Rentsch C, Minassian C, Douglas I, Mathur R, Peppa M, Cottrell S, McMenamin J, Zambon M, Ramsay M, Dabrera G, Saliba V, Bernal J. COVID-19 in Great Britain: epidemiological and clinical characteristics of the first few hundred (FF100) cases: a descriptive case series and case control analysis. Bulletin Of The World Health Organization 2020, 99: 178-189. PMID: 33716340, PMCID: PMC7941108, DOI: 10.2471/blt.20.265603.Peer-Reviewed Original ResearchConceptsProportion of COVID-19 casesPredictive value of symptomsTraining public health professionalsHealth-care seeking behaviorOccurrence of feverCase-control analysisCourse of diseaseSpecificity of symptomsShortness of breathPublic health professionalsProportion of childrenClinical presentationClinical characteristicsExposure to infectionRespiratory infectionsCases of coronavirus disease 2019Household contactsHealth professionalsBurden of COVID-19Predictive valueCase definitionCoronavirus disease 2019COVID-19 casesControl groupFever