2024
Geriatric Emergency Medication Safety Recommendations (GEMS-Rx): Modified Delphi Development of a High-Risk Prescription List for Older Emergency Department Patients
Skains R, Koehl J, Aldeen A, Carpenter C, Gettel C, Goldberg E, Hwang U, Kocher K, Southerland L, Goyal P, Berdahl C, Venkatesh A, Lin M. Geriatric Emergency Medication Safety Recommendations (GEMS-Rx): Modified Delphi Development of a High-Risk Prescription List for Older Emergency Department Patients. Annals Of Emergency Medicine 2024, 84: 274-284. PMID: 38483427, PMCID: PMC11343681, DOI: 10.1016/j.annemergmed.2024.01.033.Peer-Reviewed Original ResearchOlder ED patientsHigh-risk prescriptionsED patientsHigh-risk medication usePrescribed high-risk medicationsEmergency departmentHigh-risk medicationsEnd of lifeShort-term adverse eventsAdverse drug eventsQuestionnaire response rateEmergency department patientsDrug eventsRound 2Prescription refillsPhysician expertsMedication useSkeletal muscle relaxantsDepartment patientsMedication categoriesAdverse eventsRisk of short-term adverse eventsMedication classesMedical indicationsPrescription list
2023
Using machine learning to develop a clinical prediction model for SSRI-associated bleeding: a feasibility study
Goyal J, Ng D, Zhang K, Chan A, Lee J, Zheng K, Hurley-Kim K, Nguyen L, He L, Nguyen M, McBane S, Li W, Cadiz C. Using machine learning to develop a clinical prediction model for SSRI-associated bleeding: a feasibility study. BMC Medical Informatics And Decision Making 2023, 23: 105. PMID: 37301967, PMCID: PMC10257821, DOI: 10.1186/s12911-023-02206-3.Peer-Reviewed Original ResearchConceptsElectronic health recordsElectronic health record algorithmArea under the receiver operating characteristic curve statisticIntroductionAdverse drug eventsSSRI exposureMedication use informationMachine learningReceiver operating characteristic curve statisticClinically significant featuresNational Institutes of HealthHealth literacyHealth recordsInstitutes of HealthDrug eventsSocioeconomic statusBleeding eventsML modelsDeep learning modelsLogistic regressionSignificant featuresSSRIsClinical prediction modelAssociated with poor outcomesNational InstituteParticipantsTrends in the Use of Gabapentinoids and Opioids in the Postoperative Period Among Older Adults
Bongiovanni T, Gan S, Finlayson E, Ross J, Harrison J, Boscardin W, Steinman M. Trends in the Use of Gabapentinoids and Opioids in the Postoperative Period Among Older Adults. JAMA Network Open 2023, 6: e2318626. PMID: 37326989, PMCID: PMC10276300, DOI: 10.1001/jamanetworkopen.2023.18626.Peer-Reviewed Original ResearchConceptsPostoperative periodCross-sectional studyGabapentinoid prescribingSurgical proceduresConcomitant prescribingGabapentinoid prescriptionOlder adultsPostoperative prescribingProcedure typeSerial cross-sectional studyPatients 66 yearsUse of gabapentinoidsProportion of patientsTotal study cohortAdverse drug eventsCommon surgical procedureConcurrent prescribingMultimodal painPostoperative opioidsOpioid prescribingOpioid usePain SocietyStudy cohortMean ageDrug eventsAntibiotic therapy is associated with adverse drug events among older adults with advanced cancer: A cohort study
Datta R, Han L, Doyle M, Allore H, Sanft T, Quagliarello V, Juthani-Mehta M. Antibiotic therapy is associated with adverse drug events among older adults with advanced cancer: A cohort study. Palliative Medicine 2023, 37: 793-798. PMID: 36999898, DOI: 10.1177/02692163231162889.Peer-Reviewed Original ResearchConceptsAdverse drug eventsAntibiotic therapyDrug eventsAdvanced cancerOlder adultsIndex admissionPalliative chemotherapyCohort studyTertiary care centerHospitalized older adultsPalliative care providersMultidrug-resistant organismsMean ageCommon tumorsCare centerCare providersRatio of daysSolid tumorsMultivariable testingPatientsTherapyStandardized criteriaCancerMean timeAdults
2022
Trends in Adverse Event Rates in Hospitalized Patients, 2010-2019
Eldridge N, Wang Y, Metersky M, Eckenrode S, Mathew J, Sonnenfeld N, Perdue-Puli J, Hunt D, Brady PJ, McGann P, Grace E, Rodrick D, Drye E, Krumholz HM. Trends in Adverse Event Rates in Hospitalized Patients, 2010-2019. JAMA 2022, 328: 173-183. PMID: 35819424, PMCID: PMC9277501, DOI: 10.1001/jama.2022.9600.Peer-Reviewed Original ResearchMeSH KeywordsAccidental FallsAdultAgedAged, 80 and overCross InfectionCross-Sectional StudiesDrug-Related Side Effects and Adverse ReactionsFemaleHeart FailureHospitalizationHumansMaleMedicareMiddle AgedMyocardial InfarctionPatient SafetyPneumoniaPostoperative ComplicationsPressure UlcerRisk AssessmentSurgical Procedures, OperativeUnited StatesConceptsMajor surgical proceduresAcute myocardial infarctionAdverse event ratesGeneral adverse eventsAdverse eventsHeart failureAdverse drug eventsAcute care hospitalsMyocardial infarctionHospital-acquired infectionsSurgical proceduresEvent ratesHospital dischargeCare hospitalDrug eventsMedicare Patient Safety Monitoring SystemSerial cross-sectional studyPatient safetyUS acute care hospitalsHospital adverse eventsSignificant decreaseSurgical procedure groupsCross-sectional studyRisk-adjusted ratesAdult patients
2021
Current and recommended practices for evaluating adverse drug events using electronic health records: A systematic review
Ng D, Dang E, Chen L, Nguyen M, Nguyen M, Samman S, Nguyen T, Cadiz C, Nguyen L, Chan A. Current and recommended practices for evaluating adverse drug events using electronic health records: A systematic review. JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2021, 4: 1457-1468. DOI: 10.1002/jac5.1524.Peer-Reviewed Original ResearchElectronic health recordsAdverse drug eventsNewcastle-Ottawa ScaleHealth recordsDrug eventsSystematic reviewAbstract Electronic health recordsModified Newcastle-Ottawa ScaleEvaluate adverse drug eventsStructured EHR dataPeer-reviewed journalsMedian NOS scorePrescribing recordsRecommended practicesEHR dataMethodological qualityIntention-to-treatThematic analysisEffect modifiersDiagnosis codesData synthesisPharmacoepidemiologic researchCohort studyEnd-to-endNOS scoreSurveillance of adverse drug events associated with tocilizumab in hospitalized veterans with coronavirus disease 2019 (COVID-19) to inform patient safety and pandemic preparedness
Datta R, Barrett A, Burk M, Salone C, Au A, Cunningham F, Fisher A, Dembry LM, Akgün KM. Surveillance of adverse drug events associated with tocilizumab in hospitalized veterans with coronavirus disease 2019 (COVID-19) to inform patient safety and pandemic preparedness. Infection Control And Hospital Epidemiology 2021, 43: 1488-1491. PMID: 33985598, PMCID: PMC8160489, DOI: 10.1017/ice.2021.227.Peer-Reviewed Original Research
2020
Patterns of anticonvulsant use and adverse drug events in older adults
Moura L, Smith J, Yan Z, Blacker D, Schwamm L, Newhouse J, Hernandez‐Diaz S, Hsu J. Patterns of anticonvulsant use and adverse drug events in older adults. Pharmacoepidemiology And Drug Safety 2020, 30: 28-36. PMID: 33009718, PMCID: PMC7849867, DOI: 10.1002/pds.5139.Peer-Reviewed Original ResearchConceptsAdverse drug eventsElectronic health recordsIncident usersAnticonvulsant useDrug eventsMedicare beneficiariesRate of ADEsSeverity of ADEsSignificant adverse drug eventsEligible beneficiariesOlder adultsCohort of communityDuration of useRange of indicationsTraditional Medicare beneficiariesInverse probability weightsADE ratesMonotherapy usersSingle anticonvulsantAnticonvulsant therapyPain reliefCommon indicationOriginal cohortNervous systemOlder adult community
2018
Development and validation of an algorithm to identify drug-induced anaphylaxis in the Beijing Pharmacovigilance Database
Zhao Y, Lu H, Thai S, Li X, Hui J, Tang H, Zhai S, Sun L, Wang T. Development and validation of an algorithm to identify drug-induced anaphylaxis in the Beijing Pharmacovigilance Database. International Journal Of Clinical Pharmacy 2018, 40: 862-869. PMID: 29464448, DOI: 10.1007/s11096-018-0594-z.Peer-Reviewed Original ResearchConceptsDrug-induced anaphylaxisBeijing Pharmacovigilance DatabasePositive predictive valueAdverse drug eventsPharmacovigilance databaseAnaphylactic shockSpecific diagnosisSerious adverse drug eventsPhysician adjudicatorsChart abstractionAnaphylactic reactionsClinical criteriaDrug eventsAnaphylactoid reactionsMAIN OUTCOMEPredictive valueAnaphylaxisDiagnosisGold standardConfidence intervalsPatientsCriteria componentsHospitalDatabaseGreater number
2017
Potentially Inappropriate Antidepressant Prescriptions Among Older Adults in Office-Based Outpatient Settings: National Trends from 2002 to 2012
Rhee TG, Schommer JC, Capistrant B, Hadsall RL, Uden DL. Potentially Inappropriate Antidepressant Prescriptions Among Older Adults in Office-Based Outpatient Settings: National Trends from 2002 to 2012. Administration And Policy In Mental Health And Mental Health Services Research 2017, 45: 224-235. PMID: 28730279, DOI: 10.1007/s10488-017-0817-y.Peer-Reviewed Original ResearchConceptsAntidepressant prescriptionsOlder adultsNational Ambulatory Medical Care SurveyAvoidable adverse drug eventsOffice-based outpatient visitsAmbulatory Medical Care SurveyAdverse drug eventsOutpatient visitsOutpatient settingCare SurveyDrug eventsHigher oddsMedicaid beneficiariesVisitsNational trendsPrescriptionAdultsAntidepressantsEthnic minoritiesPrevalenceDoxepin
2016
National Action Plan for Adverse Drug Event Prevention: Recommendations for Safer Outpatient Opioid Use
Ducoffe AR, York A, Hu DJ, Perfetto D, Kerns RD. National Action Plan for Adverse Drug Event Prevention: Recommendations for Safer Outpatient Opioid Use. Pain Medicine 2016, 17: 2291-2304. PMID: 28025363, PMCID: PMC6280931, DOI: 10.1093/pm/pnw106.Peer-Reviewed Original ResearchConceptsAdverse drug eventsAdverse drug event preventionOpioid useEvent preventionOutpatient opioid prescriptionsOutpatient opioid useSafe opioid usePublic health challengeEvidence-based preventionADE preventionOpioid prescriptionsHealthcare delivery settingsDiabetes agentsDrug eventsDrug classesHealth promotionHealthcare providersDisease preventionHealth challengesPatient safetyDelivery settingsPreventionNational Action PlanAction planAdditional research
2014
Advancing pharmacovigilance through academic–legal collaboration: the case of gadolinium-based contrast agents and nephrogenic systemic fibrosis—a research on adverse drug events and reports (RADAR) report
Edwards BJ, Laumann AE, Nardone B, Miller FH, Restaino J, Raisch DW, McKoy JM, Hammel JA, Bhatt K, Bauer K, Samaras AT, Fisher MJ, Bull C, Saddleton E, Belknap SM, Thomsen HS, Kanal E, Cowper SE, Abu Alfa AK, West DP. Advancing pharmacovigilance through academic–legal collaboration: the case of gadolinium-based contrast agents and nephrogenic systemic fibrosis—a research on adverse drug events and reports (RADAR) report. British Journal Of Radiology 2014, 87: 20140307. PMID: 25230161, PMCID: PMC4170864, DOI: 10.1259/bjr.20140307.Peer-Reviewed Original ResearchConceptsGadolinium-based contrast agentsAdverse drug eventsDrug eventsMedicines AgencyGadopentetate dimeglumineDrug Administration Adverse Event Reporting SystemAdverse Event Reporting SystemDanish Medicines AgencyNephrogenic systemic fibrosisEvent Reporting SystemEuropean Medicines AgencyNSF casesHistopathological dataContrast agentsSystemic fibrosisDrug AdministrationLegal data setsUnconfounded casesGadobenate dimeglumineMean numberDimeglumineReporting systemPharmacovigilance researchSafety informationPharmacovigilance
2013
The impact of medication use on symptom burden in older patients with multiple medical morbidities
Han M, Tinetti M, Agostini J, Han L, Lee H, Walke L. The impact of medication use on symptom burden in older patients with multiple medical morbidities. Journal Of Clinical Gerontology And Geriatrics 2013, 4: 84-88. DOI: 10.1016/j.jcgg.2013.03.002.Peer-Reviewed Original ResearchSymptom burdenMedical morbidityMedication useVeterans Affairs primary care clinicsGreater medication useMultiple medical morbiditiesNumber of medicationsMedical record reviewPrimary care clinicsSurvey of patientsAdverse drug eventsCross-sectional studySeverity of symptomsAdditional medicationOlder patientsCare clinicsRecord reviewRoutine appointmentsDrug eventsChi-square analysisMorbiditySevere symptomsMedicationsLinear regression analysisSymptom categoriesPollen Count and Presentation of Angiotensin-Converting Enzyme Inhibitor–Associated Angioedema
Straka B, Nian H, Sloan C, Byrd JB, Woodard-Grice A, Yu C, Stone E, Steven G, Hartert T, Teo KK, Pare G, McCarty CA, Brown NJ. Pollen Count and Presentation of Angiotensin-Converting Enzyme Inhibitor–Associated Angioedema. The Journal Of Allergy And Clinical Immunology In Practice 2013, 1: 468-473.e4. PMID: 24565618, PMCID: PMC4042396, DOI: 10.1016/j.jaip.2013.05.003.Peer-Reviewed Original ResearchConceptsACE inhibitor-associated angioedemaRate of angioedemaSeasonal allergiesRamipril Global Endpoint TrialAngiotensin converting enzyme (ACE) inhibitorsEnzyme (ACE) inhibitor-associated angioedemaIncidence of angiotensinMonths of presentationAdverse drug eventsDate of presentationVanderbilt University Medical CenterUniversity Medical CenterMarshfield Clinic Personalized Medicine Research ProjectOngoing TelmisartanEndpoint trialsACE inhibitorsPollen countsDrug eventsAssociated angioedemaObservational studyCohort analysisMedical CenterHospital settingAngioedemaPersonalized Medicine Research ProjectThe Next Therapeutic Challenge in HIV: Polypharmacy
Edelman EJ, Gordon KS, Glover J, McNicholl IR, Fiellin DA, Justice AC. The Next Therapeutic Challenge in HIV: Polypharmacy. Drugs & Aging 2013, 30: 613-628. PMID: 23740523, PMCID: PMC3715685, DOI: 10.1007/s40266-013-0093-9.BooksConceptsAntiretroviral therapyHIV infectionSerious adverse drug eventsChronic antiretroviral therapyHarms of polypharmacyLifelong antiretroviral therapyRisk of polypharmacyCombination antiretroviral therapyNumber of medicationsAdverse drug eventsOrgan system injuryDecades of lifePhysiologic frailtyHIV patientsMore medicationsComorbid diseasesGeriatric syndromesImmune dysfunctionMedication adherenceMost HIVTherapeutic challengeChronic inflammationSystem injuryDrug eventsPolypharmacyMeasures of polypharmacy and chemotherapy toxicity in older adults with cancer.
Maggiore R, Feng T, Dale W, Gross C, Tew W, Mohile S, Owusu C, Klepin H, Lichtman S, Gajra A, McKoy J, Katheria V, Ramani R, Jayani R, Brown J, Hurria A. Measures of polypharmacy and chemotherapy toxicity in older adults with cancer. Journal Of Clinical Oncology 2013, 31: 9545-9545. DOI: 10.1200/jco.2013.31.15_suppl.9545.Peer-Reviewed Original ResearchPrevalence of polypharmacyPIM useChemotherapy toxicityOlder adultsGeriatric oncology populationAdverse clinical outcomesUnconditional logistic regressionAdverse drug eventsChi-square testInappropriate medicationsMedication useOncology populationPatient ageClinical outcomesDaily medicationInvasive cancerDrug eventsOutpatient populationGrade 3PolypharmacyReferent groupOlder personsSquare testLogistic regressionCancerAcute Kidney Injury and Bisphosphonate Use in Cancer: A Report From the Research on Adverse Drug Events and Reports (RADAR) Project
Edwards BJ, Usmani S, Raisch DW, McKoy JM, Samaras AT, Belknap SM, Trifilio SM, Hahr A, Bunta AD, Abu-Alfa A, Langman CB, Rosen ST, West DP. Acute Kidney Injury and Bisphosphonate Use in Cancer: A Report From the Research on Adverse Drug Events and Reports (RADAR) Project. JCO Oncology Practice 2013, 9: 101-106. PMID: 23814519, PMCID: PMC3595436, DOI: 10.1200/jop.2011.000486.Peer-Reviewed Original ResearchConceptsAcute kidney injuryZoledronic acidKidney injuryAdverse eventsProportional reporting ratioFDA AERSBisphosphonate useSafety signalsReporting ratioAdverse drug eventsDrug Administration adverse eventsAdverse drug reactionsCancer clinical trialsPremorbid diseaseRenal injuryRenal problemsMean ageMultiple myelomaDrug eventsDrug reactionsClinical trialsProstate cancerBreast cancerCancer settingUS Food
2012
Data mining methodologies for pharmacovigilance
Liu M, Matheny M, Hu Y, Xu H. Data mining methodologies for pharmacovigilance. ACM SIGKDD Explorations Newsletter 2012, 14: 35-42. DOI: 10.1145/2408736.2408742.Peer-Reviewed Original ResearchAdverse drug reactionsElectronic medical recordsLong-term adverse drug reactionsTerm adverse drug reactionPrevention of ADRsAdverse drug eventsPatient-reported dataPotential adverse drug reactionsNational surveillance systemEmergency departmentDrug eventsDrug reactionsPreclinical dataMedical recordsADR monitoringClinical trialsMedication safetyPreclinical characteristicsSpontaneous reportsPostmarketing phaseOnline health forumsPostmarketing stageDrug developmentHealth forumsPre-marketing stages
2010
Electronic health records and adverse drug events after patient transfer
Boockvar K, Livote E, Goldstein N, Nebeker J, Siu A, Fried T. Electronic health records and adverse drug events after patient transfer. BMJ Quality & Safety 2010, 19: e16. PMID: 20724395, PMCID: PMC2965207, DOI: 10.1136/qshc.2009.033050.Peer-Reviewed Original ResearchConceptsAdverse drug eventsHigh-risk medication discrepanciesElectronic health recordsMedication discrepanciesSite of careDrug eventsPatient transferStructured medical record reviewNon-VA groupsNon-VA patientsVeterans Affairs patientsHealth recordsMedical record reviewGroup of patientsPairs of physiciansHospitalisation episodesMedication reviewHospital transferOverall incidenceRecord reviewClinical covariatesMedication errorsNursing homesPatientsTime of transfer
2009
Prescribing discrepancies likely to cause adverse drug events after patient transfer
Boockvar K, Liu S, Goldstein N, Nebeker J, Siu A, Fried T. Prescribing discrepancies likely to cause adverse drug events after patient transfer. BMJ Quality & Safety 2009, 18: 32. PMID: 19204129, PMCID: PMC2728360, DOI: 10.1136/qshc.2007.025957.Peer-Reviewed Original ResearchConceptsAdverse drug eventsPositive predictive valueDrug classesMedication discrepanciesDrug eventsPatient transferObserved positive predictive valueHigh positive predictive valueHigh-risk patientsHigh-risk medicationsNon-opioid analgesicsNursing home patientsSite of careCertain drug classesDrug discrepanciesOpioid analgesicsDrug prescribingMedical recordsNursing homesPatientsPredictive valueCare qualityClinician ratersAnalgesicsTypes of discrepancies
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