2022
Comparison of Pharmacy Refill Data With Chemical Adherence Testing in Assessing Medication Nonadherence in a Safety Net Hospital Setting
Osula D, Wu B, Schesing K, Das SR, Moss E, Alvarez K, Clark C, Halm EA, Brown NJ, Vongpatanasin W. Comparison of Pharmacy Refill Data With Chemical Adherence Testing in Assessing Medication Nonadherence in a Safety Net Hospital Setting. Journal Of The American Heart Association 2022, 11: e027099. PMID: 36193931, PMCID: PMC9673714, DOI: 10.1161/jaha.122.027099.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AntagonistsAngiotensin Receptor AntagonistsAngiotensin-Converting Enzyme InhibitorsAntihypertensive AgentsCalcium Channel BlockersCross-Sectional StudiesHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHypertensionMedication AdherencePharmacySafety-net ProvidersSodium Chloride Symporter InhibitorsConceptsEnzyme inhibitors/angiotensin receptor blockersAngiotensin receptor blockersCalcium channel blockersReceptor blockersPositive predictive valueUncontrolled hypertensionBeta blockersMedication nonadherenceAntihypertensive drugsDrug classesChannel blockersAngiotensin-converting enzyme inhibitors/angiotensin receptor blockersPredictive valueAdherence testingSafety-net hospital settingSafety-net health systemLow positive predictive valuePharmacy refill dataProportion of daysCross-sectional studyPlasma drug levelsDiagnostic test characteristicsPharmacy fill dataCommon cardiovascular drugsRefill data
2017
Systolic Blood Pressure and Biochemical Assessment of Adherence
McNaughton CD, Brown NJ, Rothman RL, Liu D, Kabagambe EK, Levy PD, Self WH, Storrow AB, Collins SP, Roumie CL. Systolic Blood Pressure and Biochemical Assessment of Adherence. Hypertension 2017, 70: 307-314. PMID: 28652467, PMCID: PMC5531074, DOI: 10.1161/hypertensionaha.117.09659.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntihypertensive AgentsBiomarkersBlood PressureBlood Pressure DeterminationCross-Sectional StudiesEmergency Medical ServicesEmergency Service, HospitalFemaleHealth LiteracyHumansHypertensionMaleMass SpectrometryMedication AdherenceMedication Therapy ManagementMiddle AgedUnited StatesConceptsElevated blood pressureSystolic blood pressureBlood pressureSystolic BPEmergency departmentBiochemical assessmentAntihypertensive adherenceAdherent patientsLower systolic blood pressureAntihypertensive medication adherenceHigher systolic BPPrimary care providersBody mass indexCross-sectional studyAntihypertensive nonadherenceNonadherent patientsPrimary outcomeED careMedication nonadherenceMass indexMedication adherenceAcademic hospitalCare providersAntihypertensivesBlood assays
2016
Cardiovascular Disease Risk Factors in Ghana during the Rural-to-Urban Transition: A Cross-Sectional Study
Kodaman N, Aldrich MC, Sobota R, Asselbergs FW, Poku KA, Brown NJ, Moore JH, Williams SM. Cardiovascular Disease Risk Factors in Ghana during the Rural-to-Urban Transition: A Cross-Sectional Study. PLOS ONE 2016, 11: e0162753. PMID: 27732601, PMCID: PMC5061429, DOI: 10.1371/journal.pone.0162753.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overBlood GlucoseBlood PressureBody Mass IndexCardiovascular DiseasesCholesterolCholesterol, HDLCholesterol, LDLCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleGhanaHumansHypertensionMaleMiddle AgedObesityPlasminogen Activator Inhibitor 1PrevalenceRisk FactorsSmokingSurveys and QuestionnairesTissue Plasminogen ActivatorTriglyceridesUrbanizationYoung AdultConceptsCardiovascular disease risk factorsDisease risk factorsRisk factorsUrban residenceWorse cardiovascular risk profileCardiovascular risk profileRelated clinical outcomesPopulation-based surveyCross-sectional studyFibrinolytic markersTotal cholesterolCholesterol profileClinical outcomesLDL cholesterolCardiovascular diseaseBMI adjustmentHigh riskRural participantsRisk profileLarger studyT-PAUrban womenUrban menObesityCholesterolPlasminogen Activator Inhibitor‐1 and Diagnosis of the Metabolic Syndrome in a West African Population
Kodaman N, Aldrich MC, Sobota R, Asselbergs FW, Brown NJ, Moore JH, Williams SM. Plasminogen Activator Inhibitor‐1 and Diagnosis of the Metabolic Syndrome in a West African Population. Journal Of The American Heart Association 2016, 5: e003867. PMID: 27697752, PMCID: PMC5121488, DOI: 10.1161/jaha.116.003867.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAntihypertensive AgentsBlood GlucoseBlood PressureBody Mass IndexCholesterol, HDLCross-Sectional StudiesDiabetes MellitusFastingFemaleGhanaHumansHypertensionHypoglycemic AgentsMaleMetabolic SyndromeMiddle AgedPlasminogen Activator Inhibitor 1PrevalenceRural PopulationTriglyceridesUrban PopulationYoung AdultConceptsPlasminogen activator inhibitor-1Activator inhibitor-1Metabolic syndromeRisk factorsDiagnostic criteriaLow high-density lipoproteinInhibitor-1Relevance of MetSAge-standardized prevalenceConventional risk factorsCardiovascular disease riskBody mass indexMetS diagnostic criteriaPAI-1 levelsHigh-density lipoproteinCross-sectional analysisMetS prevalenceIschemic eventsMetS componentsMetS criteriaWest African populationsMass indexPlasma levelsGhanaian menAntifibrinolytic factors
2011
The Fok1 vitamin D receptor gene polymorphism is associated with plasma renin activity in Caucasians
Vaidya A, Sun B, Forman JP, Hopkins PN, Brown NJ, Kolatkar NS, Williams GH, Williams JS. The Fok1 vitamin D receptor gene polymorphism is associated with plasma renin activity in Caucasians. Clinical Endocrinology 2011, 74: 783-790. PMID: 21521263, PMCID: PMC3089671, DOI: 10.1111/j.1365-2265.2011.03991.x.Peer-Reviewed Original ResearchConceptsPlasma renin activityVitamin D receptorLow plasma renin activityDietary sodium balanceRenin-angiotensin systemRenin activityFok1 polymorphismSodium balanceVitamin D receptor gene polymorphismsD receptor gene polymorphismsPopulation of hypertensivesReceptor gene polymorphismsFok1 genotypeHyperPATH cohortD deficiencyMultivariable analysisNormotensive individualsVitamin DRenin expressionVDR geneCardiovascular diseaseD receptorHuman studiesGene polymorphismsT allele
2001
Possible Medication Errors in Home Healthcare Patients
Meredith S, Feldman P, Frey D, Hall K, Arnold K, Brown N, Ray W. Possible Medication Errors in Home Healthcare Patients. Journal Of The American Geriatrics Society 2001, 49: 719-724. PMID: 11454109, DOI: 10.1046/j.1532-5415.2001.49147.x.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCross-Sectional StudiesDrug Therapy, CombinationFemaleGuideline AdherenceHealth Services ResearchHome Care ServicesHumansLinear ModelsLogistic ModelsLos AngelesMaleMedication ErrorsNew York CityPractice Guidelines as TopicRetrospective StudiesRisk AssessmentRisk FactorsRisk ManagementTotal Quality ManagementUnnecessary ProceduresConceptsPossible medication errorsHome healthcare patientsBeers criteriaMedication errorsHealthcare patientsMedication useHealth criteriaPotential medication problemsMedication-related problemsNumber of medicationsPatients age 65Cross-sectional surveyHome healthcare agenciesMore medicationsOlder patientsMedication problemsPanel criteriaPatientsStudy subjectsMore drugsMedicationsAge 65Older peopleVulnerable populationsHealthcare agencies