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 disease
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 2021Burden
2021
Clinical 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 factorsCOVIDWeeks