2024
Patient Characteristics and Practice Variation Associated With New Community Prescription of Benzodiazepine and z‐Drug Hypnotics After Critical Illness: A Retrospective Cohort Study Using the UK Clinical Practice Research Datalink
Mansi E, Rentsch C, Bourne R, Guthrie B, Lone N. Patient Characteristics and Practice Variation Associated With New Community Prescription of Benzodiazepine and z‐Drug Hypnotics After Critical Illness: A Retrospective Cohort Study Using the UK Clinical Practice Research Datalink. Pharmacoepidemiology And Drug Safety 2024, 33: e70056. PMID: 39603606, PMCID: PMC11602247, DOI: 10.1002/pds.70056.Peer-Reviewed Original ResearchConceptsCommunity prescriptionsZ-drugsIllness survivorsRetrospective cohort studyClinical Practice Research Datalink dataPractice variationUK Clinical Practice Research DatalinkClinical Practice Research DatalinkWorsening mental health conditionsCohort studyMultilevel multivariable logistic regressionSurvivors of critical illnessZ-drug prescribingCritical care survivorsPrimary care practicesCritical illnessMental health conditionsZ-drug prescriptionsCritical illness survivorsMultivariate logistic regressionPrescription opioid useCare practicesRisk of adverse eventsHealth conditionsHistory of insomniaIncident dementia risk among patients with type 2 diabetes receiving metformin versus alternative oral glucose-lowering therapy: an observational cohort study using UK primary healthcare records
Doran W, Tunnicliffe L, Muzambi R, Rentsch C, Bhaskaran K, Smeeth L, Brayne C, Williams D, Chaturvedi N, Eastwood S, Dunachie S, Mathur R, Warren-Gash C. Incident dementia risk among patients with type 2 diabetes receiving metformin versus alternative oral glucose-lowering therapy: an observational cohort study using UK primary healthcare records. BMJ Open Diabetes Research & Care 2024, 12: e003548. PMID: 38272537, PMCID: PMC10823924, DOI: 10.1136/bmjdrc-2023-003548.Peer-Reviewed Original ResearchConceptsRisk of dementiaMild cognitive impairmentOral glucose-lowering therapyDementia riskObservational cohort studyAs-treated analysisGlucose-lowering therapyRisk of incident all-cause dementiaUK adultsCompare risk of dementiaIncident all-cause dementiaType 2 diabetesClinical Practice Research DatalinkActive comparator new user designCohort studyAll-cause dementiaPrimary healthcare recordsIncident dementia riskAssociated with lower riskPotential exposure misclassificationCox proportional hazards regressionMetformin useRisk of confoundingProportional hazards regressionIncident dementia
2022
Are infections associated with cognitive decline and neuroimaging outcomes? A historical cohort study using data from the UK Biobank study linked to electronic health records
Muzambi R, Bhaskaran K, Rentsch C, Smeeth L, Brayne C, Garfield V, Williams D, Chaturvedi N, Warren-Gash C. Are infections associated with cognitive decline and neuroimaging outcomes? A historical cohort study using data from the UK Biobank study linked to electronic health records. Translational Psychiatry 2022, 12: 385. PMID: 36109502, PMCID: PMC9478085, DOI: 10.1038/s41398-022-02145-z.Peer-Reviewed Original ResearchConceptsCognitive declineWhite matter hyperintensity volumeSecondary care recordsAssociation of infectionHistory of infectionPotential structural correlatesEvidence of associationCommon infectionsDementia riskHyperintensity volumeInfection diagnosisCare recordsCognitive impairmentLinear mixed effects modelsCognitive functionVolunteer cohortInfectionMixed effects modelsStructural correlatesUK BiobankLinear regression modelsAssociationEffects modelRegression modelsVisual memoryLong 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
Relationship Between Glycemia and Cognitive Function, Structural Brain Outcomes, and Dementia: A Mendelian Randomization Study in the UK Biobank.
Garfield V, Farmaki AE, Fatemifar G, Eastwood SV, Mathur R, Rentsch CT, Denaxas S, Bhaskaran K, Smeeth L, Chaturvedi N. Relationship Between Glycemia and Cognitive Function, Structural Brain Outcomes, and Dementia: A Mendelian Randomization Study in the UK Biobank. Diabetes 2021, 70: 2313-2321. PMID: 33632741, DOI: 10.2337/db20-0895.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBiological Specimen BanksBlood GlucoseBrainCognitionDementiaDiabetes Mellitus, Type 2FemaleGenome-Wide Association StudyGlycated HemoglobinHumansMaleMemoryMendelian Randomization AnalysisMiddle AgedOrgan SizePolymorphism, Single NucleotidePrognosisReaction TimeRisk FactorsUnited KingdomWhite MatterConceptsWhite matter hyperintensity volumeType 2 diabetesHippocampal volumeAlzheimer's dementiaRisk of ADCognitive functionMendelian randomizationBrain structuresStructural brain outcomesGenetic instrumentsMR sensitivity analysesUK BiobankVisual memoryMendelian randomization studyIncident dementiaBrain outcomesDiabetes riskHyperintensity volumeMeasures of cognitionPeripheral glycemiaBidirectional Mendelian randomizationDiabetesRandomization studyCausal associationGlycemiaUK 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 CentreCOVID-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 groupFeverRisk of 16 cancers across the full glycemic spectrum: a population-based cohort study using the UK Biobank
Rentsch CT, Farmer RE, Eastwood SV, Mathur R, Garfield V, Farmaki AE, Bhaskaran K, Chaturvedi N, Smeeth L. Risk of 16 cancers across the full glycemic spectrum: a population-based cohort study using the UK Biobank. BMJ Open Diabetes Research & Care 2020, 8: e001600. PMID: 32859587, PMCID: PMC7454242, DOI: 10.1136/bmjdrc-2020-001600.Peer-Reviewed Original ResearchConceptsCancer riskGlycemic spectrumIncident cancerPancreatic cancerBreast cancerPopulation-based cohort studyAge-standardized incidence ratesCox proportional hazards modelPostmenopausal breast cancerPremenopausal breast cancerHistory of cancerIndependent positive associationProportional hazards modelUK cancer registriesUK BiobankEdition diagnostic codesBaseline HbA1cDiabetes medicationsMultivariable adjustmentCohort studyCancer RegistryRisk factorsDiagnostic codesIncidence rateInverse association