Differences in Anthropometric, Sleep and Respiratory Characteristics between Hypercapnic and Normocapnic Patients with COPD-OSA Overlap Syndrome.

Autor: Voulgaris A; MSc Program in Sleep Medicine, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece.; Department of Pneumonology, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece., Archontogeorgis K; MSc Program in Sleep Medicine, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece.; Department of Pneumonology, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece., Chadia K; Department of Pneumonology, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece., Siopi D; MSc Program in Sleep Medicine, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece., Nena E; Laboratory of Hygiene and Environmental Protection, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece., Steiropoulos P; MSc Program in Sleep Medicine, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece.; Department of Pneumonology, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece.
Jazyk: angličtina
Zdroj: Journal of personalized medicine [J Pers Med] 2024 Jun 04; Vol. 14 (6). Date of Electronic Publication: 2024 Jun 04.
DOI: 10.3390/jpm14060600
Abstrakt: Background: Overlap syndrome (OS), the coexistence of chronic obstructive pulmonary disease and obstructive sleep apnea, is frequently characterized by the presence of daytime hypercapnia (pCO 2 ≥ 45 mmHg). The aim of this study was to investigate potential differences in anthropometric, sleep and respiratory characteristics between hypercapnic and normocapnic patients with OS.
Methods: Consecutive patients who underwent polysomnography, pulmonary function testing and arterial blood gases and had been diagnosed with OS were enrolled in the study.
Results: According to pCO 2 levels in wakefulness, the patients were divided into group A, consisting of OS patients without hypercapnia ( n = 108) or group B, consisting of OS patients with hypercapnia ( n = 55). The majority of included patients in both groups were males ( n = 92 in group A vs. n = 50 in group B). Group B had increased BMI ( p = 0.001), neck ( p = 0.017) and waist circumference ( p = 0.013), higher scores in Epworth sleepiness scale (ESS) ( p = 0.008), increased sleep efficiency ( p = 0.033), oxygen desaturation index ( p = 0.004) and time with oxyhemoglobin saturation <90% ( p = 0.006) than group A. Also, Group B had decreased average and minimum oxyhemoglobin saturation during sleep ( p < 0.001). Hypercapnic patients had lower FEV 1 % ( p = 0.003), FVC% ( p = 0.004), pO 2 and pCO 2 ( p < 0.001 for both) values compared with normocapnic patients. In binary regression analysis, which assessed various predictors on the likelihood of having hypercapnia, it was found that BMI (OR: 1.313, 95% CI: 1.048-1.646, p = 0.018) and FVC (OR: 0.913, 95% CI: 0.845-0.986, p = 0.020) were the major determinants of hypercapnia in OS patients.
Conclusions: Hypercapnic OS patients were more obese and sleepy and presented worse respiratory function in wakefulness and sleep hypoxia characteristics compared with normocapnic OS patients.
Databáze: MEDLINE
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