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dc.creatorStavrou V., Boutou A.K., Vavougios G.D., Pastaka C., Gourgoulianis K.I., Koutedakis Y., Daniil Z., Karetsi E.en
dc.date.accessioned2023-01-31T10:02:54Z
dc.date.available2023-01-31T10:02:54Z
dc.date.issued2019
dc.identifier10.1016/j.resp.2019.01.010
dc.identifier.issn15699048
dc.identifier.urihttp://hdl.handle.net/11615/79422
dc.description.abstractThe aim of this study was to investigate the relationship between cardiopulmonary exercise testing (CPET) and the presence of obstructive sleep apnea syndrome (OSAS) in order to provide an innovative tool to identify patients with OSAS. A prospective nested case control design was adopted. A consecutive population of male volunteers referred to a Sleep Unit was subjected to nocturnal polysomnography, full lung function testing and maximal CPET. A stepwise linear discriminant function analysis (DFA) was applied to construct a model which could identify individuals with moderate-to-severe OSAS from healthy controls. The total of 30 volunteers formed the OSAS and 24 the non-OSAS groups. Demographic and somatometric parameters were similar between groups. Patients presented with lower Expiratory Reserve Volume (ERV: 106.7 ± 28.3 vs. 123.9 ± 22.1, p < 0.001), Leg Fatigue Borg scale (3.9 ± 1.1 vs. 6.1 ± 1.4, p < 0.001), VO 2peak (25.0 ± 5.9 vs. 32.9 ± 7.2 ml/kg −1 /min −1 , p < 0.001), peak breathing frequency (31.0 ± 5.8 vs. 35.5 ± 7.3 1/min −1 , p < 0.001) and peak heart rate (151.1 ± 17.7 vs. 171.2 ± 12.6 beats/min −1 , p < 0.001) compared to controls, but higher peak end-tidal CO 2 (P ET CO 2peak :38.6 ± 4.2 vs. 35.0 ± 4.9 mmHg, p = 0.043) and peak systolic (SBP:188.3 ± 21.9 vs. 173.1 ± 17.9 mmHg, p = 0.009) and diastolic (DBP: 91.3 ± 8.2 vs. 85.4 ± 8.2 mmHg, p = 0.011) blood pressure. Stepwise DFA indicated that ERV % of predicted (0.372), P ET CO 2peak (−0.376), SpO 2resting (0.0667), Leg Fatigue Borg scale (0.564), HR peak (0.530) and DBP peak (−0.543) could separate the two groups, with an overall predictive accuracy of 96.3%. Selected CPET parameters (ERV % of predicted , P ET CO 2peak , SpO 2resting , HR peak , DBP peak and Leg Fatigue Borg Scale ) are independently associated with OSAS presence and could discriminate patients with and without this disorder. © 2019en
dc.language.isoenen
dc.sourceRespiratory Physiology and Neurobiologyen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85060540988&doi=10.1016%2fj.resp.2019.01.010&partnerID=40&md5=50c90a84ce46f8e297f94a0ab64d0605
dc.subjectadulten
dc.subjectapnea hypopnea indexen
dc.subjectArticleen
dc.subjectbreathing rateen
dc.subjectcardiopulmonary exercise testen
dc.subjectclinical articleen
dc.subjectcontrolled studyen
dc.subjectdemographyen
dc.subjectdiastolic blood pressureen
dc.subjectdiscriminant analysisen
dc.subjectdisease severityen
dc.subjectDoppler echocardiographyen
dc.subjectend tidal carbon dioxide tensionen
dc.subjectexpiratory reserve volumeen
dc.subjectforced expiratory volumeen
dc.subjectheart rateen
dc.subjecthumanen
dc.subjectlung function testen
dc.subjectmaleen
dc.subjectmiddle ageden
dc.subjectpolysomnographyen
dc.subjectpriority journalen
dc.subjectprospective studyen
dc.subjectsleep disordered breathingen
dc.subjectsleep timeen
dc.subjectsymptomatologyen
dc.subjectcase control studyen
dc.subjectdifferential diagnosisen
dc.subjectexercise testen
dc.subjectpathophysiologyen
dc.subjectseverity of illness indexen
dc.subjectsleep disordered breathingen
dc.subjectAdulten
dc.subjectCase-Control Studiesen
dc.subjectDiagnosis, Differentialen
dc.subjectDiscriminant Analysisen
dc.subjectExercise Testen
dc.subjectHumansen
dc.subjectMaleen
dc.subjectMiddle Ageden
dc.subjectPolysomnographyen
dc.subjectProspective Studiesen
dc.subjectRespiratory Function Testsen
dc.subjectSeverity of Illness Indexen
dc.subjectSleep Apnea, Obstructiveen
dc.subjectElsevier B.V.en
dc.titleThe use of cardiopulmonary exercise testing in identifying the presence of obstructive sleep apnea syndrome in patients with compatible symptomatologyen
dc.typejournalArticleen


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