2017
Polysomnographic 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
Novel physiologic predictors of positive airway pressure effectiveness (NICEPAP) study: rationale, design and methods
Anwar A, Byrne S, Sharma A, Sands S, Wellman A, Redeker N, Yaggi H, Zinchuk A. Novel physiologic predictors of positive airway pressure effectiveness (NICEPAP) study: rationale, design and methods. Sleep And Breathing 2024, 28: 2005-2015. PMID: 38995327, DOI: 10.1007/s11325-024-03099-w.Peer-Reviewed Original ResearchObstructive sleep apneaPositive airway pressure effectObstructive sleep apnea traitsCPAP effectsCPAP adherencePrimary outcomePurposeContinuous positive airway pressureFunctional Outcomes of Sleep QuestionnaireEffects of CPAPPositive airway pressureAcademic sleep centerObservational cohort studyPrecision medicine approachCPAP dataCPAP efficacyBaseline polysomnographySleep apneaPrimary therapyAirway pressureSleep centerArousal thresholdPatient-centered outcomesPharyngeal collapseSleep qualityCPAP0495 Association of Cannabis Use and Symptoms Among Patients with Obstructive Sleep Apnea
Inaya A, Baldassarri S, Sands S, Yaggi H, Wellman A, Redeker N, Zinchuk A. 0495 Association of Cannabis Use and Symptoms Among Patients with Obstructive Sleep Apnea. Sleep 2024, 47: a213-a213. DOI: 10.1093/sleep/zsae067.0495.Peer-Reviewed Original ResearchAssociation of cannabis useCannabis useSleep latencyCannabis usersParticipants self-reported cannabis useLong-term cannabis useLong-term effects of cannabisSelf-reported cannabis useHigh prevalence of painObstructive sleep apneaEffects of cannabisPrevalence of painHigher consumption of alcoholProportion of painNo differenceUsers of cannabisSymptoms of painMann-Whitney U testIncreased sleep latencySleep durationRegular alcohol useSlow wave sleepCPAP effectsOSA severityOSA symptoms
2020
Correlates of sleep quality and excessive daytime sleepiness in people with opioid use disorder receiving methadone treatment
Baldassarri SR, Beitel M, Zinchuk A, Redeker NS, Oberleitner DE, Oberleitner LMS, Carrasco D, Madden LM, Lipkind N, Fiellin DA, Bastian LA, Chen K, Yaggi HK, Barry DT. Correlates of sleep quality and excessive daytime sleepiness in people with opioid use disorder receiving methadone treatment. Sleep And Breathing 2020, 24: 1729-1737. PMID: 32556918, PMCID: PMC7680294, DOI: 10.1007/s11325-020-02123-z.Peer-Reviewed Original ResearchConceptsOpioid use disorderExcessive daytime sleepinessDaytime sleepinessSleep qualityChronic painExcessive daytimeUse disordersConclusionsPoor sleep qualityCurrent chronic painModifiable risk factorsImpaired sleep qualityMultivariable linear regression modelsBody mass indexPoor sleep qualityNon-significant associationMass indexMultivariable analysisPain interferenceRelated comorbiditiesMethadone treatmentClinical correlatesMean PSQIRisk factorsSleep disordersResultsNinety percentPhysiological Traits and Adherence to Obstructive Sleep Apnea Treatment in Patients with Stroke
Zinchuk AV, Redeker NS, Chu JH, Liang J, Stepnowsky C, Brandt CA, Bravata DM, Wellman A, Sands SA, Yaggi HK. Physiological Traits and Adherence to Obstructive Sleep Apnea Treatment in Patients with Stroke. American Journal Of Respiratory And Critical Care Medicine 2020, 0: 1568-1572. PMID: 32083949, PMCID: PMC7301748, DOI: 10.1164/rccm.201911-2203le.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 delayErratum to: 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. Erratum to: The Determining Risk of Vascular Events by Apnea Monitoring (DREAM) study: design, rationale, and methods. Sleep And Breathing 2016, 20: 901-901. PMID: 26971325, DOI: 10.1007/s11325-016-1329-9.Peer-Reviewed Original Research
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