Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK.
Diabet Med. 2019 Oct;36(10):1304-1311. doi: 10.1111/dme.13968. Epub 2019 May 6.
To determine obstructive sleep apnoea prevalence in people with Type 2 or Type 1 diabetes in a national primary care setting, stratified by BMI category, and to explore the relationship between patient characteristics and obstructive sleep apnoea.
Using the Royal College of General Practitioners Research and Surveillance Centre database, a cross-sectional analysis was conducted. Diabetes type was identified using a seven-step algorithm and was grouped by Type 2 diabetes, Type 1 diabetes and no diabetes. The clinical characteristics of these groups were analysed, BMI-stratified obstructive sleep apnoea prevalence rates were calculated, and a multilevel logistic regression analysis was completed on the Type 2 diabetes group.
Analysis of 1 275 461 adult records in the Royal College of General Practitioners Research and Surveillance Centre network showed that obstructive sleep apnoea was prevalent in 0.7%. In people with Type 2 diabetes, obstructive sleep apnoea prevalence increased with each increasing BMI category, from 0.5% in those of normal weight to 9.6% in those in the highest obesity class. By comparison, obstructive sleep apnoea prevalence rates for these BMI categories in Type 1 diabetes were 0.3% and 4.3%, and in those without diabetes 1.2% and 3.9%, respectively. Obstructive sleep apnoea was more prevalent in men than women in both diabetes types. When known risk factors were adjusted for, there were increased odds ratios for obstructive sleep apnoea in people with Type 2 diabetes in the overweight and higher BMI categories.
Obstructive sleep apnoea was reported in people with both types of diabetes across the range of overweight categories and not simply in the highest obesity class.
在全国初级保健环境中,按 BMI 类别确定 2 型或 1 型糖尿病患者的阻塞性睡眠呼吸暂停患病率,并探讨患者特征与阻塞性睡眠呼吸暂停之间的关系。
使用皇家全科医师学院研究和监测中心数据库进行横断面分析。使用七步算法确定糖尿病类型,并将其分为 2 型糖尿病、1 型糖尿病和无糖尿病。分析这些组的临床特征,计算 BMI 分层的阻塞性睡眠呼吸暂停患病率,并对 2 型糖尿病组进行多水平逻辑回归分析。
对皇家全科医师学院研究和监测中心网络中 1275461 名成年患者记录的分析显示,阻塞性睡眠呼吸暂停的患病率为 0.7%。在 2 型糖尿病患者中,随着 BMI 类别逐渐增加,阻塞性睡眠呼吸暂停的患病率逐渐增加,从体重正常患者的 0.5%增加到最高肥胖组的 9.6%。相比之下,1 型糖尿病患者中这些 BMI 类别的阻塞性睡眠呼吸暂停患病率分别为 0.3%和 4.3%,无糖尿病患者分别为 1.2%和 3.9%。在两种类型的糖尿病中,阻塞性睡眠呼吸暂停在男性中比女性更为常见。在调整已知的危险因素后,超重和更高 BMI 类别的 2 型糖尿病患者发生阻塞性睡眠呼吸暂停的比值比增加。
在超重类别的范围内,而不仅仅是在最高肥胖组中,报告了两种类型的糖尿病患者均有阻塞性睡眠呼吸暂停。