2023
Development and validation of a model predicting mild stroke severity on admission using electronic health record data
Waddell K, Myers L, Perkins A, Sico J, Sexson A, Burrone L, Taylor S, Koo B, Daggy J, Bravata D. Development and validation of a model predicting mild stroke severity on admission using electronic health record data. Journal Of Stroke And Cerebrovascular Diseases 2023, 32: 107255. PMID: 37473533, DOI: 10.1016/j.jstrokecerebrovasdis.2023.107255.Peer-Reviewed Original ResearchConceptsInitial stroke severityStroke severityElectronic health record dataHealth record dataSevere strokeIschemic strokeStroke careSample patientsMortality risk stratificationRecord dataVeterans Affairs hospitalMild stroke severityMultiple logistic regressionObservational cohortStroke outcomeIndependent predictorsRisk stratificationEHR data elementsPrimary analysisLogistic regressionStrokeValidation sampleSeverityPotent modifierEHR data
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
2016
Observational Study of Obstructive Sleep Apnea in Wake-Up Stroke: The SLEEP TIGHT Study
Koo BB, Bravata DM, Tobias LA, Mackey JS, Miech EJ, Matthias MS, Stahl SM, Sico JJ, Fragoso C, Williams LS, Lampert R, Qin L, Yaggi HK. Observational Study of Obstructive Sleep Apnea in Wake-Up Stroke: The SLEEP TIGHT Study. Cerebrovascular Diseases 2016, 41: 233-241. PMID: 26811929, DOI: 10.1159/000440736.Peer-Reviewed Original ResearchMeSH KeywordsAgedBiomarkersBlood PressureBlood Pressure Monitoring, AmbulatoryBrain IschemiaChi-Square DistributionCholesterol, LDLConnecticutCross-Sectional StudiesFemaleHumansIndianaIschemic Attack, TransientLogistic ModelsMaleMiddle AgedOdds RatioOxygenPolysomnographyPrevalenceRandomized Controlled Trials as TopicRisk FactorsSeverity of Illness IndexSex FactorsSleepSleep Apnea, ObstructiveStrokeSympathetic Nervous SystemWakefulnessConceptsObstructive sleep apneaDiastolic blood pressureSevere obstructive sleep apneaLow-density lipoproteinBlood pressureSleep apneaSerum catecholaminesAmbulatory blood pressure monitoringBaseline diastolic blood pressureMean body mass indexB-type natriuretic peptideHigher diastolic blood pressureMore oxygen desaturationTransient ischemic attackIschemic stroke patientsAmbulatory blood pressureHistory of strokeBody mass indexC-reactive proteinBlood pressure monitoringOxygen desaturation eventsGender-stratified analysesCross-sectional analysisIschemic attackOSA frequency
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
2013
Characteristics of Wake-up Stroke
Tanimoto A, Mehndiratta P, Koo BB. Characteristics of Wake-up Stroke. Journal Of Stroke And Cerebrovascular Diseases 2013, 23: 1296-1299. PMID: 24361192, DOI: 10.1016/j.jstrokecerebrovasdis.2013.10.021.Peer-Reviewed Original ResearchConceptsIschemic strokeCholesterol profileRisk factorsNon-WUS patientsStroke risk factorsDisease mechanismsWUS patientsBerlin questionnaireFrequent snoringSleep apneaMedical historyLipid profileSleep characteristicsStrokeStroke characteristicsDemographic informationPatientsAfrican AmericansQuestionnaireApneaSnoringSeverity
2010
Ventilatory patterning in a mouse model of stroke
Koo BB, Strohl KP, Gillombardo CB, Jacono FJ. Ventilatory patterning in a mouse model of stroke. Respiratory Physiology & Neurobiology 2010, 172: 129-135. PMID: 20472101, PMCID: PMC3698953, DOI: 10.1016/j.resp.2010.05.008.Peer-Reviewed Original ResearchConceptsCheyne-Stokes respirationRespiratory rateCerebral infarctionMale A/J miceWhole-body plethysmographyAbsence of strokeLower respiratory rateBody plethysmographySham procedureSham animalsJ miceMinute ventilationVentilatory patternTidal volumeMouse modelBreathing patternAnimal modelsVentilatory dataStrokeBreathing instabilityInfarctionVentilationCausal pathwaysBreath volumeBreathing