2020
Serious Falls in Middle‐Aged Veterans: Development and Validation of a Predictive Risk Model
Womack JA, Murphy TE, Bathulapalli H, Smith A, Bates J, Jarad S, Redeker NS, Luther SL, Gill TM, Brandt CA, Justice AC. Serious Falls in Middle‐Aged Veterans: Development and Validation of a Predictive Risk Model. Journal Of The American Geriatrics Society 2020, 68: 2847-2854. PMID: 32860222, PMCID: PMC7744431, DOI: 10.1111/jgs.16773.Peer-Reviewed Original ResearchConceptsMiddle-aged veteransVeterans Health AdministrationOpioid useSerious fallsAlcohol Use Disorders Identification Test-Consumption scoresCategory-free net reclassification improvementIllicit substance use disordersMental health comorbiditiesPrescription opioid useMultivariable logistic regressionNet reclassification improvementSubstance use disordersQuality of lifeHazardous alcohol usePredictive risk modelChronic medicationsCohort studyHealth comorbiditiesNinth RevisionReclassification improvementGeriatric healthInjury codesHazardous alcoholInternational ClassificationUse disordersThe role of insomnia in the association between posttraumatic stress disorder and hypertension.
Gaffey AE, Redeker NS, Rosman L, Mullington JM, Brandt CA, Haskell SG, Burg MM. The role of insomnia in the association between posttraumatic stress disorder and hypertension. Journal Of Hypertension 2020, 38: 641-648. PMID: 31725076, PMCID: PMC8176546, DOI: 10.1097/hjh.0000000000002311.Peer-Reviewed Original ResearchConceptsPosttraumatic stress disorderPTSD symptom severityInsomnia symptomsSymptom severityStress disorderMiddle-aged veteransHigh blood pressureElectronic health record dataSelf-reported treatmentWomen Veterans Cohort StudyCross-sectional associationsHealth record dataRole of insomniaIncident hypertensionCohort studyBlood pressureRecent symptomsCardiovascular healthHypertensionSleep problemsInsomniaSymptomsRecord dataSeveritySelf-report survey
2017
Trajectories of Sleep Disturbance Severity in HIV-Infected and Uninfected Veterans
Womack JA, Murphy TE, Bathulapalli H, Akgün KM, Gibert C, Kunisaki KM, Rodriguez-Barradas M, Yaggi HK, Justice AC, Redeker NS. Trajectories of Sleep Disturbance Severity in HIV-Infected and Uninfected Veterans. Journal Of The Association Of Nurses In AIDS Care 2017, 28: 431-437. PMID: 28389058, PMCID: PMC5442598, DOI: 10.1016/j.jana.2017.02.006.Peer-Reviewed Original Research
2016
The Association between Nocturnal Cardiac Arrhythmias and Sleep-Disordered Breathing: The DREAM Study.
Selim BJ, Koo BB, Qin L, Jeon S, Won C, Redeker NS, Lampert RJ, Concato JP, Bravata DM, Ferguson J, Strohl K, Bennett A, Zinchuk A, Yaggi HK. The Association between Nocturnal Cardiac Arrhythmias and Sleep-Disordered Breathing: The DREAM Study. Journal Of Clinical Sleep Medicine 2016, 12: 829-37. PMID: 26951420, PMCID: PMC4877315, DOI: 10.5664/jcsm.5880.Peer-Reviewed Original ResearchConceptsSleep-disordered breathingNocturnal cardiac arrhythmiasIntraventricular conduction delayApnea-hypopnea indexCardiac arrhythmiasTwo-fold oddsModerate-severe sleep-disordered breathingSeverity of SDBSevere sleep-disordered breathingComplex ventricular ectopyMultiple cardiovascular comorbiditiesObstructive respiratory eventsClinic-based populationCross-sectional analysisCardiovascular comorbiditiesSDB patientsVentricular ectopySDB severityRespiratory eventsUnadjusted oddsSupraventricular tachycardiaCardiovascular diseaseArrhythmia subtypesArrhythmia riskConduction delay
2015
The Determining Risk of Vascular Events by Apnea Monitoring (DREAM) study: design, rationale, and methods
Koo BB, Won C, Selim BJ, Qin L, Jeon S, Redeker NS, Bravata DM, Strohl KP, Concato J, Zinchuk AV, Yaggi HK. The Determining Risk of Vascular Events by Apnea Monitoring (DREAM) study: design, rationale, and methods. Sleep And Breathing 2015, 20: 893-900. PMID: 26642771, DOI: 10.1007/s11325-015-1254-3.Peer-Reviewed Original ResearchConceptsCardiovascular outcomesVascular eventsSleep architecturePrognostic modelRetrospective observational cohort studyMain primary outcomeMiddle-aged veteransTransient ischemic attackAcute coronary syndromeObservational cohort studyResultsThe study populationCongestive heart failureSleep-disordered breathingVA Patient Treatment FileVital Status filesPatient Treatment FileComputerized patient record systemVeterans Affairs centersPost-traumatic stress disorderIschemic attackCoronary syndromeCohort studySecondary outcomesComposite endpointGlycemic controlContributions of Comorbid Diabetes to Sleep Characteristics, Daytime Symptoms, and Physical Function Among Patients With Stable Heart Failure
Fritschi C, Redeker NS. Contributions of Comorbid Diabetes to Sleep Characteristics, Daytime Symptoms, and Physical Function Among Patients With Stable Heart Failure. The Journal Of Cardiovascular Nursing 2015, 30: 411-419. PMID: 25078876, PMCID: PMC4312262, DOI: 10.1097/jcn.0000000000000183.Peer-Reviewed Original ResearchConceptsStable heart failureDiabetes mellitusHeart failurePoor physical functioningHF patientsDaytime symptomsPhysical functionSleep disturbancesPhysical functioningSleep characteristicsSleep qualityNew York Heart Association classNew York Heart Association classificationSelf-reported physical functionPhysical component summary scoreSelf-reported sleep qualityComorbid diabetes mellitusRespiratory disturbance indexComponent summary scoresMedical Outcomes StudySleep-disordered breathingBody mass indexPhysical function measuresAdditive effectLower general health
2010
Insomnia Symptoms and Daytime Function in Stable Heart Failure
Redeker NS, Jeon S, Muench U, Campbell D, Walsleben J, Rapoport DM. Insomnia Symptoms and Daytime Function in Stable Heart Failure. Sleep 2010, 33: 1210-1216. PMID: 20857868, PMCID: PMC2938862, DOI: 10.1093/sleep/33.9.1210.Peer-Reviewed Original ResearchConceptsStable heart failureHeart failureInsomnia symptomsDaytime symptomsHF patientsHF disease management programStable chronic HF patientsMedical Outcomes Study SF-36Six-minute walk testPittsburgh Sleep Quality IndexChronic HF patientsDemographic patient characteristicsEpworth Sleepiness ScaleSleep Quality IndexFunctional performanceDisease management programsPatient characteristicsWalk testExcessive daytimeSF-36Daytime functionFull polysomnographyFatigue ScaleDepression ScaleSleepiness Scale