2022
Validation of a multi-ancestry polygenic risk score and age-specific risks of prostate cancer: A meta-analysis within diverse populations
Chen F, Darst BF, Madduri RK, Rodriguez AA, Sheng X, Rentsch CT, Andrews C, Tang W, Kibel AS, Plym A, Cho K, Jalloh M, Gueye SM, Niang L, Ogunbiyi OJ, Popoola O, Adebiyi AO, Aisuodionoe-Shadrach OI, Ajibola HO, Jamda MA, Oluwole OP, Nwegbu M, Adusei B, Mante S, Darkwa-Abrahams A, Mensah JE, Adjei AA, Diop H, Lachance J, Rebbeck TR, Ambs S, Gaziano JM, Justice AC, Conti DV, Haiman CA. Validation of a multi-ancestry polygenic risk score and age-specific risks of prostate cancer: A meta-analysis within diverse populations. ELife 2022, 11: e78304. PMID: 35801699, PMCID: PMC9322982, DOI: 10.7554/elife.78304.Peer-Reviewed Original ResearchConceptsProstate cancer riskPolygenic risk scoresProstate cancerCancer riskOdds ratioMillion Veteran ProgramRisk scoreRisk stratification toolAge-specific absolute risksAfrican ancestry menCancer odds ratiosVeterans Health AdministrationCase-control studyNonaggressive prostate cancerProstate Cancer FoundationAge-specific riskAssociation of PRSPRS categoriesRisk-stratified screeningVeteran ProgramNational Cancer InstituteEuropean ancestry menStratification toolAbsolute riskEffect modification
2021
Case fatality risk of the SARS-CoV-2 variant of concern B.1.1.7 in England, 16 November to 5 February
Grint D, Wing K, Williamson E, McDonald H, Bhaskaran K, Evans D, Evans S, Walker A, Hickman G, Nightingale E, Schultze A, Rentsch C, Bates C, Cockburn J, Curtis H, Morton C, Bacon S, Davy S, Wong A, Mehrkar A, Tomlinson L, Douglas I, Mathur R, Blomquist P, MacKenna B, Ingelsby P, Croker R, Parry J, Hester F, Harper S, DeVito N, Hulme W, Tazare J, Goldacre B, Smeeth L, Eggo R. Case fatality risk of the SARS-CoV-2 variant of concern B.1.1.7 in England, 16 November to 5 February. Eurosurveillance 2021, 26: 2100256. PMID: 33739254, PMCID: PMC7976383, DOI: 10.2807/1560-7917.es.2021.26.11.2100256.Peer-Reviewed Original ResearchUK 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
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 conditionsFactors 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