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The 6-minute walk test and anthropometric characteristics as assessment tools in patients with obstructive sleep apnea syndrome. A preliminary report during the pandemic

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Autor
Stavrou V.T., Vavougios G.D., Astara K., Siachpazidou D.I., Papayianni E., Gourgoulianis K.I.
Datum
2021
Language
en
DOI
10.3390/jpm11060563
Schlagwort
antioxidant
biological marker
reactive oxygen metabolite
adult
aerobic exercise
anthropometry
apnea hypopnea index
Article
blood sampling
body composition
body mass
body surface
brain blood flow
caloric intake
cardiopulmonary bypass
cardiovascular risk
exercise
female
forced expiratory volume
glucose tolerance
heart rate
human
lung function
major clinical study
male
mean arterial pressure
neck circumference
oxidative stress
pandemic
pathophysiology
physical activity
Pittsburgh Sleep Quality Index
polysomnography
prevalence
questionnaire
six minute walk test
sleep disordered breathing
sleep time
spirometry
waist circumference
MDPI AG
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Zusammenfassung
Patients with obstructive sleep apnea syndrome (OSAS) exhibit low cardio-fitness impact, attributed to fragmented sleep architecture and associated pathophysiological sequelae. The purpose of our study was to investigate fitness indicators during 6-min walk test (6MWT) and oxidative stress markers in apnea-hypopnea index (AHI) in OSAS patients stratified by severity. A total of 37 newly diagnosed patients, comorbidity-free, were divided into two groups: (Moderate OSAS (n = 12), defined as ≥ 15 AHI > 30 events per hour; Age: 50.7 ± 7.2 years, BMI: 32.5 ± 4.0 kg/m2 vs. Severe OSAS (n = 25), defined as AHI ≥ 30 events per hour; Age: 46.3 ± 10.4 years, BMI: 33.3 ± 7.9 kg/m2). Measurements included demographics, anthropometric characteristics, body composition, blood sampling for reactive oxygen metabolites’ levels (d-ROM) and plasma antioxidant capacity (PAT), and followed by a 6MWT. AHI was significantly associated with d-ROMs levels, chest circumference in maximal inhalation and exhalation (∆chest), neck circumference, as well as 6MWT-derived indices. In conclusion, our study determines bidirectional interrelationships between OSAS severity and anthropometrics, body composition, and fitness metrics. These findings indicate that the impact of OSAS should be evaluated well beyond polysomnography-derived parameters. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
URI
http://hdl.handle.net/11615/79435
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