2006
The Association of Psychological Factors, Physical Activity, Neuropathy, and Quality of Life in Type 2 Diabetes
Chyun DA, Melkus GD, Katten DM, Price WJ, Davey JA, Grey N, Heller G, Wackers FJ. The Association of Psychological Factors, Physical Activity, Neuropathy, and Quality of Life in Type 2 Diabetes. Biological Research For Nursing 2006, 7: 279-288. PMID: 16581898, DOI: 10.1177/1099800405285748.Peer-Reviewed Original ResearchMeSH KeywordsAgedAnxietyAttitude to HealthConnecticutCoronary DiseaseCross-Sectional StudiesDepressionDiabetes Mellitus, Type 2Diabetic NeuropathiesFemaleHostilityHumansLinear ModelsMaleMiddle AgedMotor ActivityMultivariate AnalysisQuality of LifeRisk FactorsSocioeconomic FactorsSurveys and QuestionnairesVirginiaConceptsQuality of lifeBody mass indexDepressive symptomsMass indexPhysical inactivityMedical Outcomes Study Short Form-36Diabetes-related microvascular complicationsHigher body mass indexPoor QOLAsymptomatic Diabetics (DIAD) studyCardiac risk factorsDiabetes-related factorsShort Form-36Type 2 diabetesPsychological factorsDetection of ischemiaMicrovascular complicationsForm-36Diabetes QualityFemale sexRisk factorsAncillary studiesDiabetic studyPhysical activityType 2The Impact of Screening for Asymptomatic Myocardial Ischemia in Individuals With Type 2 Diabetes
Chyun DA, Katten DM, Melkus GD, Talley S, Davey JA, Wackers FJ. The Impact of Screening for Asymptomatic Myocardial Ischemia in Individuals With Type 2 Diabetes. The Journal Of Cardiovascular Nursing 2006, 21: e1-e7. PMID: 16601520, DOI: 10.1097/00005082-200603000-00015.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAntihypertensive AgentsAnxietyAspirinDepressionDiabetes Mellitus, Type 2EmotionsFemaleFibrinolytic AgentsFollow-Up StudiesHealth BehaviorHumansHypolipidemic AgentsMaleMass ScreeningMiddle AgedMotor ActivityMultivariate AnalysisMyocardial IschemiaPersonal AutonomyProspective StudiesQuality of LifeRisk AssessmentSocioeconomic FactorsConceptsCoronary artery diseaseType 2 diabetesAsymptomatic coronary artery diseasePoor emotional outcomesAsymptomatic myocardial ischemiaRisk factor behaviorsImpact of screeningSelf-administered questionnaireAggressive screeningArtery diseaseProspective studyStudy baselineMyocardial ischemiaScreening TrialMyocardial perfusionEmotional outcomesOutcomesDiabetesBehavior outcomesLaboratory testsLow levelsScreeningHigh levelsIschemiaPerfusion
2004
Brachial artery reactivity in asymptomatic patients with type 2 diabetes mellitus and microalbuminuria (from the Detection of Ischemia in Asymptomatic Diabetics–Brachial Artery Reactivity study)
Papaioannou GI, Seip RL, Grey NJ, Katten D, Taylor A, Inzucchi SE, Young LH, Chyun DA, Davey JA, Wackers FJ, Iskandrian AE, Ratner RE, Robinson EC, Carolan S, Engel S, Heller GV. Brachial artery reactivity in asymptomatic patients with type 2 diabetes mellitus and microalbuminuria (from the Detection of Ischemia in Asymptomatic Diabetics–Brachial Artery Reactivity study). The American Journal Of Cardiology 2004, 94: 294-299. PMID: 15276091, DOI: 10.1016/j.amjcard.2004.04.022.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAlbuminuriaBrachial ArteryC-Reactive ProteinCoronary Artery DiseaseDiabetes Mellitus, Type 2Diabetic AngiopathiesEndothelium, VascularFemaleHumansLinear ModelsMaleMiddle AgedMultivariate AnalysisProspective StudiesReference ValuesRisk AssessmentSensitivity and SpecificitySeverity of Illness IndexSex FactorsUltrasonography, DopplerVasoconstrictionVasodilationConceptsEndothelium-independent vasodilationEndothelium-dependent vasodilationBrachial artery reactivityType 2 diabetes mellitusHormone replacement therapyDiabetes mellitusC-reactive proteinSystemic inflammationAsymptomatic patientsEndothelial dysfunctionIndependent predictorsReplacement therapyNovel atherosclerotic risk factorAsymptomatic Diabetics (DIAD) studyAtherosclerotic risk factorsPresence of microalbuminuriaFuture cardiovascular eventsSimilar baseline characteristicsDetection of ischemiaCardiovascular eventsBaseline characteristicsBrachial arteryVascular dysfunctionEntire cohortRisk factors
2000
Association of patients’ perception of health status and exercise electrocardiogram, myocardial perfusion imaging, and ventricular function measures
Mattera J, de Leon C, Wackers F, Williams C, Wang Y, Krumholz H. Association of patients’ perception of health status and exercise electrocardiogram, myocardial perfusion imaging, and ventricular function measures. American Heart Journal 2000, 140: 409-418. PMID: 10966538, DOI: 10.1067/mhj.2000.108518.Peer-Reviewed Original ResearchConceptsGeneral health perceptionHealth-related qualityPhysical functioningHealth perceptionMyocardial perfusion imagingHealth statusExercise testingPerfusion imagingMedical Outcomes Study Short Form SurveyPatients' health-related qualityShort Form SurveyAssociation of patientGeneral health statusImportant outcome measureSuccess of treatmentConsecutive patientsSF-36Metabolic equivalentsNoninvasive testingExercise testPatient outcomesIndividual patientsOutcome measuresForm SurveyPatient's viewpoint
1997
Relationship of scar and ischemia to the results of programmed electrophysiological stimulation in patients with coronary artery disease
Gradel C, Jain D, Batsford W, Wackers F, Zaret B. Relationship of scar and ischemia to the results of programmed electrophysiological stimulation in patients with coronary artery disease. Journal Of Nuclear Cardiology 1997, 4: 379-386. PMID: 9362014, DOI: 10.1016/s1071-3581(97)90029-5.Peer-Reviewed Original ResearchConceptsCoronary artery diseaseMyocardial perfusion imagingSustained ventricular tachycardiaPerfusion defect sizeVentricular tachycardiaElectrophysiological studiesArtery diseaseIndependent predictorsMultivariate analysisChronic coronary artery diseaseLeft ventricular ejection fractionSustained monomorphic ventricular tachycardiaGlobal left ventricular functionVentricular ejection fractionLeft ventricular functionPrevious myocardial infarctionMonomorphic ventricular tachycardiaBest independent predictorSize of ischemiaAdditional ischemiaArrhythmia historyInducible patientsNoninducible patientsSize of scarClinical predictors