Featured Publications
Rest-activity rhythms, daytime symptoms, and functional performance among people with heart failure
Jeon S, Conley S, Redeker NS. Rest-activity rhythms, daytime symptoms, and functional performance among people with heart failure. Chronobiology International 2020, 37: 1223-1234. PMID: 32588662, PMCID: PMC7529895, DOI: 10.1080/07420528.2020.1779280.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedCircadian RhythmHeart FailureHumansMalePhysical Functional PerformancePolysomnographySleepSleep Wake DisordersConceptsRest-activity rhythmStable heart failureHeart failureDaytime symptomsCircadian quotientPoorer New York Heart Association classNew York Heart Association classHF disease management programFunctional performanceBetter NYHA classChronic heart failureMinute walk testDisease management programsLess sleep fragmentationHF independentUnattended polysomnographyNYHA classGreater comorbidityAssociation classWalk testIntra-daily variabilityFunctional outcomePhysical functionPoor functionSleep fragmentationDiscrepancy between wrist‐actigraph and polysomnographic measures of sleep in patients with stable heart failure and a novel approach to evaluating discrepancy
Jeon S, Conley S, Redeker NS. Discrepancy between wrist‐actigraph and polysomnographic measures of sleep in patients with stable heart failure and a novel approach to evaluating discrepancy. Journal Of Sleep Research 2018, 28: e12717. PMID: 29943403, PMCID: PMC6309769, DOI: 10.1111/jsr.12717.Peer-Reviewed Original ResearchConceptsPoor sleep qualityTotal sleep timeHeart failurePolysomnographic measuresSleep qualitySleep measuresSleep timeHeart failure disease management programsMotor activityDaytime motor activityStable heart failureShorter total sleep timeCross-sectional studyPoor sleep efficiencyImportance of agingDisease management programsOlder patientsBland-Altman plotsSevere insomniaRisk factorsClinical dataIntra-class correlationSleep characteristicsSleep efficiencyWrist actigraphyPolysomnographic phenotypes and their cardiovascular implications in obstructive sleep apnoea
Zinchuk AV, Jeon S, Koo BB, Yan X, Bravata DM, Qin L, Selim BJ, Strohl KP, Redeker NS, Concato J, Yaggi HK. Polysomnographic phenotypes and their cardiovascular implications in obstructive sleep apnoea. Thorax 2017, 73: 472. PMID: 28935698, PMCID: PMC6693344, DOI: 10.1136/thoraxjnl-2017-210431.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAgedCardiovascular DiseasesCluster AnalysisCross-Sectional StudiesFemaleHumansIschemic Attack, TransientLongitudinal StudiesMaleMiddle AgedMortalityPhenotypePolysomnographyProportional Hazards ModelsRisk AssessmentSeverity of Illness IndexSleep Apnea, ObstructiveStrokeConceptsObstructive sleep apnoeaCardiovascular outcomesPolysomnographic featuresSleep apnoeaPolysomnographic dataIncident transient ischemic attackUS Veteran cohortTransient ischemic attackAcute coronary syndromeAdverse cardiovascular outcomesPeriodic limb movementsOSA severity classificationPolysomnographic phenotypeCoronary syndromeIschemic attackCardiovascular implicationsOSA phenotypesOSA evaluationPathophysiological domainsPoor sleepMild/Patient clustersVeteran cohortSurvival analysisCombined outcome
2024
Association of Periodic Limb Movements and Obstructive Sleep Apnea With Risk of Cardiovascular Disease and Mortality
Zinchuk A, Srivali N, Qin L, Jeon S, Ibrahim A, Sands S, Koo B, Yaggi H. Association of Periodic Limb Movements and Obstructive Sleep Apnea With Risk of Cardiovascular Disease and Mortality. Journal Of The American Heart Association 2024, 13: e031630. PMID: 38240208, PMCID: PMC11056155, DOI: 10.1161/jaha.123.031630.Peer-Reviewed Original ResearchMeSH KeywordsCardiovascular DiseasesHumansNocturnal Myoclonus SyndromePolysomnographySleepSleep Apnea, ObstructiveConceptsPeriodic limb movement indexApnea-hypopnea indexObstructive sleep apneaPeriodic limb movementsSleep apneaIncident cardiovascular diseasePrimary outcomeCardiovascular diseaseAssociation of apnea-hypopnea indexIncreased risk of primary outcomeIncreased riskRisk factorsRisk of primary outcomeAssociated with primary outcomeMedian follow-upBaseline risk of mortalityCox proportional hazards regressionRisk of cardiovascular diseaseLimb movement indexCharlson Comorbidity IndexFramingham risk scoreProportional hazards regressionRisk of mortalityCardiovascular disease eventsFollow-up
2019
Daytime and Nighttime Sleep Characteristics and Pain Among Adults With Stable Heart Failure.
Conley S, Feder SL, Jeon S, Redeker NS. Daytime and Nighttime Sleep Characteristics and Pain Among Adults With Stable Heart Failure. The Journal Of Cardiovascular Nursing 2019, 34: 390-398. PMID: 31365442, PMCID: PMC6690780, DOI: 10.1097/jcn.0000000000000593.Peer-Reviewed Original ResearchConceptsPoor sleep qualityHeart failureSleep medicationSleep characteristicsDaytime sleepinessSleep qualitySleep durationSelf-reported poor sleep qualityPittsburgh Sleep Quality IndexMore sleep medicationsStable heart failureBodily pain scaleSleep Quality IndexCross-sectional studyPresence of insomniaLong sleep durationNighttime sleep characteristicsSpecific sleep characteristicsSleep Habits QuestionnaireNocturnal sleep characteristicsPain scaleSymptom burdenMore painSleep disturbancesInsomnia symptomsAgreement between actigraphic and polysomnographic measures of sleep in adults with and without chronic conditions: A systematic review and meta-analysis
Conley S, Knies A, Batten J, Ash G, Miner B, Hwang Y, Jeon S, Redeker NS. Agreement between actigraphic and polysomnographic measures of sleep in adults with and without chronic conditions: A systematic review and meta-analysis. Sleep Medicine Reviews 2019, 46: 151-160. PMID: 31154154, PMCID: PMC6594867, DOI: 10.1016/j.smrv.2019.05.001.Peer-Reviewed Original ResearchConceptsChronic conditionsSystematic reviewPolysomnographic measuresHealthy adultsInternational Clinical Trials RegistryClinical Trials RegistryTrials RegistrySleep complaintsPoor sleepPRISMA guidelinesSleep measuresLow activity levelsPSG sleep measuresSleepActivity levelsAdultsPSGReviewOvidEmbaseRegistryCINAHLPubMedOvidMedlineComplaintsWASO
2018
Prevalence, Associated Clinical Features, and Impact on Continuous Positive Airway Pressure Use of a Low Respiratory Arousal Threshold Among Male United States Veterans With Obstructive Sleep Apnea.
Zinchuk A, Edwards BA, Jeon S, Koo BB, Concato J, Sands S, Wellman A, Yaggi HK. Prevalence, Associated Clinical Features, and Impact on Continuous Positive Airway Pressure Use of a Low Respiratory Arousal Threshold Among Male United States Veterans With Obstructive Sleep Apnea. Journal Of Clinical Sleep Medicine 2018, 14: 809-817. PMID: 29734986, PMCID: PMC5940432, DOI: 10.5664/jcsm.7112.Peer-Reviewed Original ResearchConceptsLong-term CPAP useObstructive sleep apneaLow respiratory arousal thresholdLow ArTHRespiratory arousal thresholdCPAP useNonobese patientsClinical featuresSleep apneaOdds ratioArousal thresholdContinuous positive airway pressure usePositive airway pressure usePhysiologic phenotypeRegular CPAP useAntihypertensive medication useBody mass indexAssociated clinical featuresUnited States veteransAntihypertensive medicationsPolysomnography characteristicsClinical characteristicsCPAP adherenceAntidepressant useMedication use
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 control