Prevalence and predictive factors of sleep apnoea syndrome in type 2 diabetic patients.

Details

Serval ID
serval:BIB_DBDF9FC3DC46
Type
Article: article from journal or magazin.
Collection
Publications
Title
Prevalence and predictive factors of sleep apnoea syndrome in type 2 diabetic patients.
Journal
Diabetes & metabolism
Author(s)
Laaban J.P., Daenen S., Léger D., Pascal S., Bayon V., Slama G., Elgrably F.
ISSN
1878-1780 (Electronic)
ISSN-L
1262-3636
Publication state
Published
Issued date
11/2009
Peer-reviewed
Oui
Volume
35
Number
5
Pages
372-377
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
This study aimed to assess the prevalence and characteristics of sleep apnoea syndrome (SAS) in patients hospitalized for poorly controlled type 2 diabetes.
An overnight ventilatory polygraphic study was systematically performed in 303 consecutive patients.
Overall, 34% of these patients had mild SAS, as defined by a respiratory disturbance index (RDI) of 5-15; 19% had moderate SAS (RDI: 16-29) and 10% had severe SAS (RDI>or=30). The SAS was obstructive in 99% of the apnoeic patients. The percentage of patients with excessive daytime sleepiness (Epworth sleepiness scale>10), fatigue or nocturia did not significantly differ among patients with severe, moderate or mild SAS versus non-apnoeic patients. The percentage of patients who snored was significantly higher in patients with severe or moderate SAS versus non-apnoeic patients. HbA(1c), duration of diabetes and the prevalences of microalbuminuria, retinopathy and peripheral neuropathy did not significantly differ among patients with severe, moderate or mild SAS versus non-apnoeic patients. However, patients with severe or moderate SAS had significantly higher values for body mass index, waist circumference and neck circumference than non-apnoeic patients.
In type 2 diabetic patients with poor diabetic control, obstructive SAS is highly prevalent and related to abdominal obesity, and should be systematically screened for, as it cannot be predicted by the clinical data.
Keywords
Aged, Body Mass Index, Body Size, Diabetes Mellitus, Type 2/complications, Female, France/epidemiology, Glycated Hemoglobin A/analysis, Humans, Male, Middle Aged, Obesity, Abdominal/complications, Prevalence, Risk Factors, Severity of Illness Index, Sleep Apnea Syndromes/classification, Sleep Apnea Syndromes/complications, Sleep Apnea Syndromes/diagnosis, Sleep Apnea Syndromes/epidemiology, Sleep Apnea, Obstructive/complications, Sleep Apnea, Obstructive/diagnosis, Sleep Apnea, Obstructive/epidemiology, Snoring/complications
Pubmed
Web of science
Create date
04/10/2022 12:16
Last modification date
05/10/2022 5:42
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