PT  - JOURNAL ARTICLE
AU  - Abdelbaki Azouzi
AU  - Rahma Ben Jazia
AU  - Jihene Ayachi
AU  - Halima Ben Salem
AU  - Sana Aissa
AU  - Mouna Ben Khlifa
AU  - Imen Gargouri
AU  - Mohamed Benzarti
AU  - Ahmed Abdelghani
AU  - Mohamed Boussarsar
TI  - Prevalence and predictive factors of sleep breathing disorders (SBD) in severe COPD patients
DP  - 2014 Sep 01
TA  - European Respiratory Journal
PG  - P2222
VI  - 44
IP  - Suppl 58
4099  - http://erj.ersjournals.com/content/44/Suppl_58/P2222.short
4100  - http://erj.ersjournals.com/content/44/Suppl_58/P2222.full
SO  - Eur Respir J2014 Sep 01; 44
AB  - Background : Severe COPD opposes challenges to the clinician for appropriate and rational prescription of ventilatory support at home. Ventilatory and blood gases (ABGs) abnormalities may worsen during sleep while remaining "esoteric" to the clinician.Aims and objectives : Evaluate the prevalence and typology of SBD in severe COPD patients.Identify predictive factors of SBD in severe COPD patients in order to design a predictive score.Methods : Prospective study. Consecutive patients admitted to ICU or the pulmonology department within a period of 9 months. Clinical and functional data were collected. Epworth and Pittsburgh scales were measured. Respiratory polygraphy was performed at steady state. Univariate then multivariate analyses were performed to identify factors independently associated with SBD in severe COPD patients.Results : 51 patients were included. They were 62.3±9.6yr aged ; BMI, 33.8±9.9Kg/m2; mMRCII, 52.9% and pCO2, 43.6±6.5mmHg. The prevalence of SBD was 49% (64% overlap syndrome, 36% nocturnal hypoventilation-related desaturation). 18(72) patients demonstrated SBD while their diurnal pCO2 remained below 55mmHg. Multivariate analysis identified snoring, nocturia, mood disorders and excessive daytime sleepiness as only factors independently associated with SBD. The combination of these four symptoms in a so called SBD-C score demonstrated very interesting discriminative properties (AUC=0.92).Conclusion : This study identified a high prevalence of SBD while ABGs abnormalities remains below thresholds of prescription of home ventilatory support. A predictive novel score, the SBD-C may be a useful tool in an integrative diagnostic strategy of SBD in severe COPD patients.