2025
Using Quantitative Bias Analysis to Adjust for Misclassification of COVID‐19 Outcomes: An Applied Example of Inhaled Corticosteroids and COVID‐19 Outcomes
Bokern M, Rentsch C, Quint J, Hunnicutt J, Douglas I, Schultze A. Using Quantitative Bias Analysis to Adjust for Misclassification of COVID‐19 Outcomes: An Applied Example of Inhaled Corticosteroids and COVID‐19 Outcomes. Pharmacoepidemiology And Drug Safety 2025, 34: e70086. PMID: 39776023, PMCID: PMC11706700, DOI: 10.1002/pds.70086.Peer-Reviewed Original ResearchConceptsProbabilistic bias analysisRisk of COVID-19 hospitalisationCOVID-19 hospitalisationChronic obstructive pulmonary diseaseOutcome misclassificationInhaled corticosteroid usersCOVID-19 outcomesIncreased risk of COVID-19 hospitalisationClinical Practice Research Datalink AurumInhaled corticosteroidsLogistic regressionQuantitative bias analysisBias analysisTriple therapySummary-levelObstructive pulmonary diseaseImpact treatment effect estimatesBenzodiazepine and z-drug prescribing in critical care survivors and the risk of rehospitalisation or death due to falls/trauma and due to any cause: a retrospective matched cohort study using the UK Clinical Practice Research Datalink
Mansi E, Rentsch C, Bourne R, Jeffery A, Guthrie B, Lone N. Benzodiazepine and z-drug prescribing in critical care survivors and the risk of rehospitalisation or death due to falls/trauma and due to any cause: a retrospective matched cohort study using the UK Clinical Practice Research Datalink. Intensive Care Medicine 2025, 51: 125-136. PMID: 39774867, DOI: 10.1007/s00134-024-07762-4.Peer-Reviewed Original ResearchMeSH KeywordsAccidental FallsAcetamidesAdultAgedAged, 80 and overAzabicyclo CompoundsBenzodiazepinesCohort StudiesCritical CareFemaleHumansHypnotics and SedativesMaleMiddle AgedPatient ReadmissionPiperazinesProportional Hazards ModelsPyrimidinesRetrospective StudiesSurvivorsUnited KingdomWounds and InjuriesConceptsCritical care survivorsUK Clinical Practice Research DatalinkClinical Practice Research DatalinkZ-drug prescribingAssociated with increased riskPalliative careZ-drugsAssociated with increased risk of all-causeRisk of all-causeCohort studyConfidence intervalsBenzodiazepines/Z-drugsMental health problemsRisk of rehospitalisationMatched cohort studyVulnerable patient groupRetrospective matched cohort studyTreatment naive individualsAll-causeMethodsRetrospective cohort studyHazard ratioHealth problemsPrescribed benzodiazepinesPrescribingHighest prevalenceUtility of Candidate Genes From an Algorithm Designed to Predict Genetic Risk for Opioid Use Disorder
Davis C, Jinwala Z, Hatoum A, Toikumo S, Agrawal A, Rentsch C, Edenberg H, Baurley J, Hartwell E, Crist R, Gray J, Justice A, Gelernter J, Kember R, Kranzler H, Muralidhar S, Moser J, Deen J, Tsao P, Gaziano J, Hauser E, Kilbourne A, Matheny M, Oslin D, Churby L, Whitbourne S, Brewer J, Shayan S, Selva L, Pyarajan S, Cho K, DuVall S, Brophy M, Stephens B, Connor T, Argyres D, Assimes T, Hung A, Kranzler H, Aguayo S, Ahuja S, Alexander K, Androulakis X, Balasubramanian P, Ballas Z, Beckham J, Bhushan S, Boyko E, Cohen D, Dellitalia L, Faulk L, Fayad J, Fujii D, Gappy S, Gesek F, Greco J, Godschalk M, Gress T, Gupta S, Gutierrez S, Harley J, Hamner M, Hurley R, Iruvanti P, Jacono F, Jhala D, Kinlay S, Landry M, Liang P, Liangpunsakul S, Lichy J, Mahan C, Marrache R, Mastorides S, Mattocks K, Meyer P, Moorman J, Morgan T, Murdoch M, Norton J, Okusaga O, Oursler K, Poon S, Rauchman M, Servatius R, Sharma S, Smith R, Sriram P, Strollo P, Tandon N, Villareal G, Walsh J, Wells J, Whittle J, Whooley M, Wilson P, Xu J, Yeh S, Bast E, Dryden G, Hogan D, Joshi S, Lo T, Morales P, Naik E, Ong M, Petrakis I, Rai A, Yen A. Utility of Candidate Genes From an Algorithm Designed to Predict Genetic Risk for Opioid Use Disorder. JAMA Network Open 2025, 8: e2453913. PMID: 39786773, PMCID: PMC11718552, DOI: 10.1001/jamanetworkopen.2024.53913.Peer-Reviewed Original ResearchConceptsOpioid use disorder riskElectronic health record dataHealth record dataInternational Classification of DiseasesOpioid use disorderClassification of DiseasesGenetic variantsInternational ClassificationGenetic riskRecord dataRisk of opioid use disorderMillion Veteran ProgramOpioid use disorder diagnosisUse disorderCase-control studyVeteran ProgramMain OutcomesDiagnostic codesClinical careOpioid exposurePharmacy recordsLogistic regressionRisk allelesNagelkerke R2Clinically useful modelHow Should Meaningful Evidence Be Generated From Datasets?
Morton C, Rentsch C. How Should Meaningful Evidence Be Generated From Datasets? The AMA Journal Of Ethic 2025, 27: e27-33. PMID: 39745911, DOI: 10.1001/amajethics.2025.27.Peer-Reviewed Original ResearchWhat Are High-Quality Race and Ethnicity Data and How Are They Used in Health Equity Research?
Rentsch C, Siddiqui M, Mathur R. What Are High-Quality Race and Ethnicity Data and How Are They Used in Health Equity Research? The AMA Journal Of Ethic 2025, 27: e34-43. PMID: 39745912, DOI: 10.1001/amajethics.2025.34.Peer-Reviewed Original Research
2024
Four targets: an enhanced framework for guiding causal inference from observational data
Lu H, Li F, Lesko C, Fink D, Rudolph K, Harhay M, Rentsch C, Fiellin D, Gonsalves G. Four targets: an enhanced framework for guiding causal inference from observational data. International Journal Of Epidemiology 2024, 54: dyaf003. PMID: 39868475, PMCID: PMC11769716, DOI: 10.1093/ije/dyaf003.Peer-Reviewed Original ResearchHepatotoxicity Score: A New Method to Adjust for Use of Potentially Hepatotoxic Medications by Chronic Liver Disease Status
Re V, Newcomb C, Carbonari D, Mezochow A, Hennessy S, Rentsch C, Park L, Tate J, Bräu N, Bhattacharya D, Lim J, Mezzacappa C, Njei B, Roy J, Taddei T, Justice A, Torgersen J. Hepatotoxicity Score: A New Method to Adjust for Use of Potentially Hepatotoxic Medications by Chronic Liver Disease Status. Pharmacoepidemiology And Drug Safety 2024, 33: e70069. PMID: 39662972, PMCID: PMC11634562, DOI: 10.1002/pds.70069.Peer-Reviewed Original ResearchConceptsProton pump inhibitor initiationHazard ratioVeterans Health AdministrationSevere acute liver injuryProton pump inhibitorsChronic liver diseaseAcute liver injuryRates of hospitalizationSafety of medicationsPPI initiativesHealth AdministrationLiver disease statusMedication exposurePharmacoepidemiological studiesMedicationConfoundingScoresReports of hepatotoxicityDisease statusHepatotoxic medicationsDrug exposurePump inhibitorsHepatotoxic drugsOutpatient initiationHepatic safetyPatient 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 insomniaCore 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, PMCID: PMC11664366, 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 disease
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