首页> 外文期刊>Pan African Medical Journal >The STOPBANG score is effective for obstructive sleep apnea syndrome screening and correlates with its features, in a sub-Saharan African population
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The STOPBANG score is effective for obstructive sleep apnea syndrome screening and correlates with its features, in a sub-Saharan African population

机译:STOPBANG评分对于阻塞性睡眠呼吸暂停综合征筛查和与其特征的相关性是有效的,在撒哈拉以南非洲人口中

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Introduction:the STOPBANG score is an easy-to-use screening tool for obstructive sleep apnea (OSA), which has not been validated in sub-Saharan Africa (SSA). We sought to evaluate its diagnostic performance in Cameroun.Methods:this community-based study took place in a sub-urban area, from November 2015 to April 2016. Adults aged ≥19 years underwent a clinical assessment, including the STOPBANG and the Epworth sleepiness scale (ESS) questionnaires. A respiratory polygraph (RP) was performed on a randomly selected sample. Diagnosis performance included sensitivity (Se), specificity (Sp), and positive and negative predictive values (PPV and NPV). An association was sought between STOPBANG and OSA features.Results:a total of 3033 were interviewed, of whom 102 had a RP. Their mean age was 49.1±17.9 years, the sex ratio was 1 and the mean body mass index 29.1±6.1 kg/m 2 . For OSA screening (apnea-hypopnea index (AHI) ≥5), the STOPBANG score at threshold 3 obtained: Se=82.9%, Sp=34.4%, PPV=45.9% and NPV=75.0%. For moderate-to-severe OSA (IAH ≥15), these values were 93.3%, 31.1%, 18.9% and 96.4% respectively. Furthermore, STOPBANG-based high risk of OSA correlated with AHI (9.1±10.7/hr vs 3.8±3.5/hr, p=0.0003) and oxygen desaturation index (6.4±7.9/hr vs 2.6±2.1/hr, p=0.0004). There was a non-significant association with ESS (6.3±5.3 vs 4.5±3.5, p=0.06).Conclusion:in this Cameroonian population, the STOPBANG diagnostic performance did not differ from the original Caucasian one. It could therefore be proposed on a larger scale, since obesity and other OSA risk factors are increasing in SSA.? Massongo Massongo et al.
机译:介绍:Stopbang得分是易于使用的休眠睡眠呼吸暂停(OSA)的易于使用筛选工具,尚未在撒哈拉以南非洲(SSA)中验证。我们试图评估其在Cameroun.Methods的诊断表现:这项基于社区的研究在2015年11月至2016年4月的子城区发生。≥19岁的成年人在内的临床评估,包括Stopbang和Epworth Sleepiness规模(ESS)问卷。在随机选择的样品上进行呼吸量目(RP)。诊断性能包括敏感性(SE),特异性(SP)和正和负预测值(PPV和NPV)。在stopbang和OSA特征之间寻求一个关联。结果:共有3033人进行了采访,其中102人有一个RP。他们的平均年龄为49.1±17.9岁,性别比率为1,平均体重指数29.1±6.1 kg / m 2。对于OSA筛选(呼吸暂停症索引(AHI)≥5),获得阈值3的STOPBANG得分:SE = 82.9%,SP = 34.4%,PPV = 45.9%,NPV = 75.0%。对于中度至严重的OSA(IAH≥15),这些值分别为93.3%,31.1%,18.9%和96.4%。此外,停止基于OSA的高风险与AHI相关(9.1±10.7 / hr,3.8±3.5 / hr,p = 0.0003)和氧去饱和指数(6.4±7.9 / hr 2.6±2.1 / hr,p = 0.0004) 。与ESS有一个非重要关联(6.3±5.3 VS 4.5±3.5,P = 0.06)。结论:在这个喀麦隆人口中,Stopbang诊断性能与原始高加索人没有不同。因此,由于肥胖和其他OSA风险因素在SSA中增加,因此可以提出更大的规模。 massongo massongo等。

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