2024
Core Concepts in Pharmacoepidemiology: Quantitative Bias Analysis
Brown J, Hunnicutt J, Ali M, Bhaskaran K, Cole A, Langan S, Nitsch D, Rentsch C, Galwey N, Wing K, Douglas I. Core Concepts in Pharmacoepidemiology: Quantitative Bias Analysis. Pharmacoepidemiology And Drug Safety 2024, 33: e70026. PMID: 39375940, DOI: 10.1002/pds.70026.Peer-Reviewed Original ResearchConceptsQuantitative bias analysisBias analysisValidity of study findingsPharmacoepidemiological studiesRobustness of studiesEffects of medicationStudy designEffect estimatesResidual biasStudy findingsSelection biasConfoundingEstimated effectsPotential biasPharmacoepidemiologyBiasMedicationCore conceptsStudyMeasurement errorImpact 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 qualityNHSOpenSAFELY: A platform for analysing electronic health records designed for reproducible research
Nab L, Schaffer A, Hulme W, DeVito N, Dillingham I, Wiedemann M, Andrews C, Curtis H, Fisher L, Green A, Massey J, Walters C, Higgins R, Cunningham C, Morley J, Mehrkar A, Hart L, Davy S, Evans D, Hickman G, Inglesby P, Morton C, Smith R, Ward T, O'Dwyer T, Maude S, Bridges L, Butler‐Cole B, Stables C, Stokes P, Bates C, Cockburn J, Hester F, Parry J, Bhaskaran K, Schultze A, Rentsch C, Mathur R, Tomlinson L, Williamson E, Smeeth L, Walker A, Bacon S, MacKenna B, Goldacre B. OpenSAFELY: A platform for analysing electronic health records designed for reproducible research. Pharmacoepidemiology And Drug Safety 2024, 33: e5815-e5815. PMID: 38783412, PMCID: PMC7616137, DOI: 10.1002/pds.5815.Peer-Reviewed Original ResearchConceptsElectronic health recordsHealth recordsComputing environmentProgram codeSoftware platformAdministrative health dataAnalysis environmentAudit trailReproducibility of researchReproducible researchData preparationPublic sharingPublic health guidanceHealth dataHealth guidanceCodeOpenSAFELYTechnical solutionsPlatformPromote trustCOVID-19 pandemicIncrease transparencyCode-sharingWorkflowDataQuantifying possible bias in clinical and epidemiological studies with quantitative bias analysis: common approaches and limitations
Brown J, Hunnicutt J, Ali M, Bhaskaran K, Cole A, Langan S, Nitsch D, Rentsch C, Galwey N, Wing K, Douglas I. Quantifying possible bias in clinical and epidemiological studies with quantitative bias analysis: common approaches and limitations. The BMJ 2024, 385: e076365. PMID: 38565248, DOI: 10.1136/bmj-2023-076365.Peer-Reviewed Original ResearchIncident 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 dementiaHypertension Control During the Coronavirus Disease 2019 Pandemic
Korves C, Peixoto A, Lucas B, Davies L, Weinberger D, Rentsch C, Vashi A, Young-Xu Y, King J, Asch S, Justice A. Hypertension Control During the Coronavirus Disease 2019 Pandemic. Medical Care 2024, 62: 196-204. PMID: 38284412, PMCID: PMC10922611, DOI: 10.1097/mlr.0000000000001971.Peer-Reviewed Original ResearchConceptsHypertension controlFollow-up intervalPrimary care clinic visitsFollow-up lengthVeterans Health AdministrationControlled hypertensionUncontrolled hypertensionGeneralized estimating equationsCohort of individualsStudy inclusion criteriaHealth careHealth AdministrationLonger follow-up intervalsBlood pressure measurementsAssessed associationsClinic visitsInclusion criteriaDecreased likelihoodEstimating equationsPrepandemic periodLow likelihoodCoronavirus diseaseFollow-upHypertensionIndividualsHerpes Zoster and Risk of Incident Parkinson's Disease in US Veterans: A Matched Cohort Study
Tunnicliffe L, Weil R, Breuer J, Rodriguez‐Barradas M, Smeeth L, Rentsch C, Warren‐Gash C. Herpes Zoster and Risk of Incident Parkinson's Disease in US Veterans: A Matched Cohort Study. Movement Disorders 2024, 39: 438-444. PMID: 38226430, PMCID: PMC10922272, DOI: 10.1002/mds.29701.Peer-Reviewed Original ResearchConceptsUS Department of Veterans AffairsCohort studyRisk of incident PDDepartment of Veterans AffairsCox proportional hazards regressionIncident Parkinson's diseaseAssociated with increased riskHistory of HZMatched cohort studyProportional hazards regressionRisk of PDHerpes zosterIncident PDRisk of incident Parkinson's diseaseVeterans AffairsIncident HZUS veteransPD overallHazards regressionPD riskParkinson's diseaseIncreased riskMatched individualsUS DepartmentAssociated with Parkinson's disease
2023
Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants
Wang A, Shen J, Rodriguez A, Saunders E, Chen F, Janivara R, Darst B, Sheng X, Xu Y, Chou A, Benlloch S, Dadaev T, Brook M, Plym A, Sahimi A, Hoffman T, Takahashi A, Matsuda K, Momozawa Y, Fujita M, Laisk T, Figuerêdo J, Muir K, Ito S, Liu X, Uchio Y, Kubo M, Kamatani Y, Lophatananon A, Wan P, Andrews C, Lori A, Choudhury P, Schleutker J, Tammela T, Sipeky C, Auvinen A, Giles G, Southey M, MacInnis R, Cybulski C, Wokolorczyk D, Lubinski J, Rentsch C, Cho K, Mcmahon B, Neal D, Donovan J, Hamdy F, Martin R, Nordestgaard B, Nielsen S, Weischer M, Bojesen S, Røder A, Stroomberg H, Batra J, Chambers S, Horvath L, Clements J, Tilly W, Risbridger G, Gronberg H, Aly M, Szulkin R, Eklund M, Nordstrom T, Pashayan N, Dunning A, Ghoussaini M, Travis R, Key T, Riboli E, Park J, Sellers T, Lin H, Albanes D, Weinstein S, Cook M, Mucci L, Giovannucci E, Lindstrom S, Kraft P, Hunter D, Penney K, Turman C, Tangen C, Goodman P, Thompson I, Hamilton R, Fleshner N, Finelli A, Parent M, Stanford J, Ostrander E, Koutros S, Beane Freeman L, Stampfer M, Wolk A, Håkansson N, Andriole G, Hoover R, Machiela M, Sørensen K, Borre M, Blot W, Zheng W, Yeboah E, Mensah J, Lu Y, Zhang H, Feng N, Mao X, Wu Y, Zhao S, Sun Z, Thibodeau S, McDonnell S, Schaid D, West C, Barnett G, Maier C, Schnoeller T, Luedeke M, Kibel A, Drake B, Cussenot O, Cancel-Tassin G, Menegaux F, Truong T, Koudou Y, John E, Grindedal E, Maehle L, Khaw K, Ingles S, Stern M, Vega A, Gómez-Caamaño A, Fachal L, Rosenstein B, Kerns S, Ostrer H, Teixeira M, Paulo P, Brandão A, Watya S, Lubwama A, Bensen J, Butler E, Mohler J, Taylor J, Kogevinas M, Dierssen-Sotos T, Castaño-Vinyals G, Cannon-Albright L, Teerlink C, Huff C, Pilie P, Yu Y, Bohlender R, Gu J, Strom S, Multigner L, Blanchet P, Brureau L, Kaneva R, Slavov C, Mitev V, Leach R, Brenner H, Chen X, Holleczek B, Schöttker B, Klein E, Hsing A, Kittles R, Murphy A, Logothetis C, Kim J, Neuhausen S, Steele L, Ding Y, Isaacs W, Nemesure B, Hennis A, Carpten J, Pandha H, Michael A, De Ruyck K, De Meerleer G, Ost P, Xu J, Razack A, Lim J, Teo S, Newcomb L, Lin D, Fowke J, Neslund-Dudas C, Rybicki B, Gamulin M, Lessel D, Kulis T, Usmani N, Abraham A, Singhal S, Parliament M, Claessens F, Joniau S, Van den Broeck T, Gago-Dominguez M, Castelao J, Martinez M, Larkin S, Townsend P, Aukim-Hastie C, Bush W, Aldrich M, Crawford D, Srivastava S, Cullen J, Petrovics G, Casey G, Wang Y, Tettey Y, Lachance J, Tang W, Biritwum R, Adjei A, Tay E, Truelove A, Niwa S, Yamoah K, Govindasami K, Chokkalingam A, Keaton J, Hellwege J, Clark P, Jalloh M, Gueye S, Niang L, Ogunbiyi O, Shittu O, Amodu O, Adebiyi A, Aisuodionoe-Shadrach O, Ajibola H, Jamda M, Oluwole O, Nwegbu M, Adusei B, Mante S, Darkwa-Abrahams A, Diop H, Gundell S, Roobol M, Jenster G, van Schaik R, Hu J, Sanderson M, Kachuri L, Varma R, McKean-Cowdin R, Torres M, Preuss M, Loos R, Zawistowski M, Zöllner S, Lu Z, Van Den Eeden S, Easton D, Ambs S, Edwards T, Mägi R, Rebbeck T, Fritsche L, Chanock S, Berndt S, Wiklund F, Nakagawa H, Witte J, Gaziano J, Justice A, Mancuso N, Terao C, Eeles R, Kote-Jarai Z, Madduri R, Conti D, Haiman C. Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants. Nature Genetics 2023, 55: 2065-2074. PMID: 37945903, PMCID: PMC10841479, DOI: 10.1038/s41588-023-01534-4.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesMulti-ancestry genome-wide association studyNovel risk variantsRisk variantsAssociation studiesProstate cancer genome-wide association studiesCancer genome-wide association studyGenome-wide discoveryProstate cancer susceptibility lociGenetic risk scoreCancer susceptibility lociEuropean ancestry menGenetic studiesSusceptibility lociNon-aggressive diseaseEffective risk stratificationAfrican ancestry menProstate cancer riskAncestry groupsProstate cancer casesRisk stratificationAfrican ancestryProstate cancerCancer casesCancer riskIntegrase strand-transfer inhibitor use and cardiovascular events in adults with HIV: an emulation of target trials in the HIV-CAUSAL Collaboration and the Antiretroviral Therapy Cohort Collaboration
Rein S, Lodi S, Logan R, Touloumi G, Antoniadou A, Wittkop L, Bonnet F, van Sighem A, van der Valk M, Reiss P, Klein M, Young J, Jarrin I, Monforte A, Tavelli A, Meyer L, Tran L, Gill M, Lang R, Surial B, Haas A, Justice A, Rentsch C, Phillips A, Sabin C, Miro J, Trickey A, Ingle S, Sterne J, Hernán M, Collaboration A. Integrase strand-transfer inhibitor use and cardiovascular events in adults with HIV: an emulation of target trials in the HIV-CAUSAL Collaboration and the Antiretroviral Therapy Cohort Collaboration. The Lancet HIV 2023, 10: e723-e732. PMID: 37923486, PMCID: PMC10695103, DOI: 10.1016/s2352-3018(23)00233-3.Peer-Reviewed Original ResearchConceptsART-experienced individualsCardiovascular eventsTarget trialsART regimensRisk ratioTreatment strategiesRisk differenceEligibility criteriaIntegrase strand transfer inhibitor useAntiretroviral Therapy Cohort CollaborationIntegrase strand transfer inhibitorsPooled logistic modelART-naive individualsHIV RNA measurementsHIV-CAUSAL CollaborationNational InstituteStrand transfer inhibitorsLogistic regression modelsART regimenCohort CollaborationAntiretroviral therapyInhibitor useBlood pressureINSTI useClinical dataExcess mortality in US Veterans during the COVID-19 pandemic: an individual-level cohort study
Weinberger D, Bhaskaran K, Korves C, Lucas B, Columbo J, Vashi A, Davies L, Justice A, Rentsch C. Excess mortality in US Veterans during the COVID-19 pandemic: an individual-level cohort study. International Journal Of Epidemiology 2023, 52: 1725-1734. PMID: 37802889, PMCID: PMC10749763, DOI: 10.1093/ije/dyad136.Peer-Reviewed Original ResearchConceptsExcess mortality ratesExcess mortalityComorbidity burdenHazard ratioCohort studyMortality rateVeterans Aging Cohort Study (VACS) IndexIndividual-level cohort studyVeterans AffairsCOVID-19 pandemicLarge integrated healthcare systemExcess mortality patternsHigher comorbidity burdenLower comorbidity burdenMost frail patientsCharlson Comorbidity IndexObservational cohort studyClinical risk groupsIntegrated healthcare systemLeast frailComorbidity indexFrail patientsPre-pandemic periodMedian ageUS veteransAlcohol Use and Sustained Virologic Response to Hepatitis C Virus Direct-Acting Antiviral Therapy
Cartwright E, Pierret C, Minassian C, Esserman D, Tate J, Goetz M, Bhattacharya D, Fiellin D, Justice A, Re V, Rentsch C. Alcohol Use and Sustained Virologic Response to Hepatitis C Virus Direct-Acting Antiviral Therapy. JAMA Network Open 2023, 6: e2335715. PMID: 37751206, PMCID: PMC10523171, DOI: 10.1001/jamanetworkopen.2023.35715.Peer-Reviewed Original ResearchConceptsSustained virologic responseAlcohol use disorderHigh-risk consumptionHistory of AUDLow-risk consumptionDAA therapyAlcohol use categoriesAlcohol useVirologic responseCohort studyAntiviral therapyOdds ratioChronic hepatitis C virus (HCV) infectionAlcohol Use Disorders Identification Test-Consumption (AUDIT-C) questionnaireHepatitis C virus infectionVeterans AffairsActing antiviral (DAA) therapyDAA treatment initiationHCV elimination goalsUndetectable HCV RNAC virus infectionFibrosis-4 scoreRetrospective cohort studyMultivariable logistic regressionTenth Revision diagnosisPrognostic 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 diseaseContribution of alcohol use in HIV/hepatitis C virus co‐infection to all‐cause and cause‐specific mortality: A collaboration of cohort studies
Trickey A, Ingle S, Boyd A, Gill M, Grabar S, Jarrin I, Obel N, Touloumi G, Zangerle R, Rauch A, Rentsch C, Satre D, Silverberg M, Bonnet F, Guest J, Burkholder G, Crane H, Teira R, Berenguer J, Wyen C, Abgrall S, Hessamfar M, Reiss P, Monforte A, McGinnis K, Sterne J, Wittkop L, Collaboration T. Contribution of alcohol use in HIV/hepatitis C virus co‐infection to all‐cause and cause‐specific mortality: A collaboration of cohort studies. Journal Of Viral Hepatitis 2023, 30: 775-786. PMID: 37338017, PMCID: PMC10526649, DOI: 10.1111/jvh.13863.Peer-Reviewed Original ResearchConceptsHepatitis C virusAntiretroviral therapyAlcohol useC virusHIV/hepatitis C virusHeavy drinkersMultivariable Cox modelModerate alcohol drinkersNorth American cohortCause-specific mortalityGrams/dayBaseline alcohol useSelf-reported alcohol useHigher alcohol useART initiationHCV statusCohort studyHazard ratioAdult PWHAlcohol drinkersAlcohol use dataCox modelPWHAmerican cohortMortalityPerformance of an automated deep learning algorithm to identify hepatic steatosis within noncontrast computed tomography scans among people with and without HIV
Torgersen J, Akers S, Huo Y, Terry J, Carr J, Ruutiainen A, Skanderson M, Levin W, Lim J, Taddei T, So‐Armah K, Bhattacharya D, Rentsch C, Shen L, Carr R, Shinohara R, McClain M, Freiberg M, Justice A, Re V. Performance of an automated deep learning algorithm to identify hepatic steatosis within noncontrast computed tomography scans among people with and without HIV. Pharmacoepidemiology And Drug Safety 2023, 32: 1121-1130. PMID: 37276449, PMCID: PMC10527049, DOI: 10.1002/pds.5648.Peer-Reviewed Original ResearchConceptsSevere hepatic steatosisHepatic steatosisHIV statusLiver attenuationHounsfield unitsPredictive valueRadiologist assessmentUS Veterans Health AdministrationNoncontrast abdominal CTVeterans Health AdministrationCross-sectional studySample of patientsNegative predictive valueReal-world studyPositive predictive valueAbdominal CTLiver fatTomography scanSteatosisCT imagesHealth AdministrationPharmacoepidemiologic studiesRadiologist reviewHIVPercent agreementRacial and Ethnic Bias in the Diagnosis of Alcohol Use Disorder in Veterans
Vickers-Smith R, Justice A, Becker W, Rentsch C, Curtis B, Fernander A, Hartwell E, Ighodaro E, Kember R, Tate J, Kranzler H. Racial and Ethnic Bias in the Diagnosis of Alcohol Use Disorder in Veterans. American Journal Of Psychiatry 2023, 180: 426-436. PMID: 37132202, PMCID: PMC10238581, DOI: 10.1176/appi.ajp.21111097.Peer-Reviewed Original ResearchConceptsAlcohol use disorderAlcohol consumptionAUD diagnosisHispanic veteransWhite veteransUse disordersPrevalence of AUDAlcohol Use Disorders Identification TestUnhealthy alcohol useICD-10 codesAUDIT-C scoresSelf-reported alcohol consumptionAlcohol-related disordersDiagnosis of AUDDisorders Identification TestMaximum scoreSelf-reported raceElectronic health recordsPrimary outcomeAlcohol consumption levelsPotential confoundersHigh prevalenceMillion Veteran ProgramGreater oddsICD-9Challenges in Estimating the Effectiveness of COVID-19 Vaccination Using Observational Data
Hulme W, Williamson E, Horne E, Green A, McDonald H, Walker A, Curtis H, Morton C, MacKenna B, Croker R, Mehrkar A, Bacon S, Evans D, Inglesby P, Davy S, Bhaskaran K, Schultze A, Rentsch C, Tomlinson L, Douglas I, Evans S, Smeeth L, Palmer T, Goldacre B, Hernán M, Sterne J. Challenges in Estimating the Effectiveness of COVID-19 Vaccination Using Observational Data. Annals Of Internal Medicine 2023, 176: m21-4269. PMID: 37126810, PMCID: PMC10152408, DOI: 10.7326/m21-4269.Peer-Reviewed Original ResearchConceptsCOVID-19 vaccineRandomized trialsObservational studyCOVID-19 vaccinationDuration of protectionBooster vaccinationFirst doseTrial emulationNew virus variantsVaccinated personsEligible personsVaccine rolloutVaccinationTarget trialsVirus variantsTrialsVaccineTime-varying variablesBaselineRobust evidenceSingle trial approachRapid uptakePersonsConfoundersDoseExcess Mortality Among Patients in the Veterans Affairs Health System Compared With the Overall US Population During the First Year of the COVID-19 Pandemic
Weinberger D, Rose L, Rentsch C, Asch S, Columbo J, King J, Korves C, Lucas B, Taub C, Young-Xu Y, Vashi A, Davies L, Justice A. Excess Mortality Among Patients in the Veterans Affairs Health System Compared With the Overall US Population During the First Year of the COVID-19 Pandemic. JAMA Network Open 2023, 6: e2312140. PMID: 37155169, PMCID: PMC10167568, DOI: 10.1001/jamanetworkopen.2023.12140.Peer-Reviewed Original ResearchConceptsGeneral US populationVA health care systemHealth care systemComprehensive medical careOverall US populationRate of deathVA populationUS populationDeath rateCohort studyExcess mortalityCare systemCOVID-19 pandemicMedical careVeterans Affairs Health Care SystemVeterans Affairs Health SystemHealth systemVA health systemFirst yearVA health careStandardized mortality rateAdult age groupsVA enrolleesMAIN OUTCOMEGeneral populationEvidence of Novel Susceptibility Variants for Prostate Cancer and a Multiancestry Polygenic Risk Score Associated with Aggressive Disease in Men of African Ancestry
Chen F, Madduri R, Rodriguez A, Darst B, Chou A, Sheng X, Wang A, Shen J, Saunders E, Rhie S, Bensen J, Ingles S, Kittles R, Strom S, Rybicki B, Nemesure B, Isaacs W, Stanford J, Zheng W, Sanderson M, John E, Park J, Xu J, Wang Y, Berndt S, Huff C, Yeboah E, Tettey Y, Lachance J, Tang W, Rentsch C, Cho K, Mcmahon B, Biritwum R, Adjei A, Tay E, Truelove A, Niwa S, Sellers T, Yamoah K, Murphy A, Crawford D, Patel A, Bush W, Aldrich M, Cussenot O, Petrovics G, Cullen J, Neslund-Dudas C, Stern M, Kote-Jarai Z, Govindasami K, Cook M, Chokkalingam A, Hsing A, Goodman P, Hoffmann T, Drake B, Hu J, Keaton J, Hellwege J, Clark P, Jalloh M, Gueye S, Niang L, Ogunbiyi O, Idowu M, Popoola O, Adebiyi A, Aisuodionoe-Shadrach O, Ajibola H, Jamda M, Oluwole O, Nwegbu M, Adusei B, Mante S, Darkwa-Abrahams A, Mensah J, Diop H, Van Den Eeden S, Blanchet P, Fowke J, Casey G, Hennis A, Lubwama A, Thompson I, Leach R, Easton D, Preuss M, Loos R, Gundell S, Wan P, Mohler J, Fontham E, Smith G, Taylor J, Srivastava S, Eeles R, Carpten J, Kibel A, Multigner L, Parent M, Menegaux F, Cancel-Tassin G, Klein E, Andrews C, Rebbeck T, Brureau L, Ambs S, Edwards T, Watya S, Chanock S, Witte J, Blot W, Gaziano J, Justice A, Conti D, Haiman C. Evidence of Novel Susceptibility Variants for Prostate Cancer and a Multiancestry Polygenic Risk Score Associated with Aggressive Disease in Men of African Ancestry. European Urology 2023, 84: 13-21. PMID: 36872133, PMCID: PMC10424812, DOI: 10.1016/j.eururo.2023.01.022.Peer-Reviewed Original ResearchEffects of topiramate therapy on serum bicarbonate concentration in a sample of 10,279 veterans
Naps M, Leong S, Hartwell E, Rentsch C, Kranzler H. Effects of topiramate therapy on serum bicarbonate concentration in a sample of 10,279 veterans. Alcohol Clinical And Experimental Research 2023, 47: 438-447. PMID: 36810985, DOI: 10.1111/acer.15011.Peer-Reviewed Original ResearchConceptsSerum bicarbonate concentrationAlcohol use disorderMetabolic acidosisMEq/LAlcohol consumptionTopiramate therapyAlcohol Use Disorders Identification Test-Consumption scoresVeterans Health Administration electronic health record dataBicarbonate concentrationPropensity score-matched control groupPropensity score-matched controlsMean daily dosageSignificant metabolic acidosisElectronic health record dataDiagnosis of AUDHealth record dataBaseline alcohol consumptionDifferences linear regression modelThree-level measureAcid-base balanceTopiramate dosageTopiramate prescriptionsMean followTopiramate treatmentDaily dosageDelirium among people aging with and without HIV: Role of alcohol and Neurocognitively active medications
Akgün K, Krishnan S, Tate J, Bryant K, Pisani M, Re V, Rentsch C, Crothers K, Gordon K, Justice A, team F. Delirium among people aging with and without HIV: Role of alcohol and Neurocognitively active medications. Journal Of The American Geriatrics Society 2023, 71: 1861-1872. PMID: 36786300, PMCID: PMC10258127, DOI: 10.1111/jgs.18265.Peer-Reviewed Original ResearchConceptsAlcohol Use Disorders Identification Test-ConsumptionActive medicationAlcohol useOdds ratioRelative riskDose-response associationDate of admissionSeverity of illnessIndependent dose-response associationsRace/ethnicityInpatient deliriumIndex dateMedication exposureRole of alcoholHIV statusMultivariable analysisMedication countNeurocognitive dysfunctionUnderappreciated causeDeliriumHigh incidencePWHMedicationsPWOHLogistic regression