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首页> 外文期刊>Journal of sleep research >Mortality‐risk‐based apnea–hypopnea index thresholds for diagnostics of obstructive sleep apnea
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Mortality‐risk‐based apnea–hypopnea index thresholds for diagnostics of obstructive sleep apnea

机译:基于死亡风险的呼吸暂停性呼吸暂停指数阈值,用于阻塞性睡眠呼吸暂停的诊断

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Summary The severity of obstructive sleep apnea is clinically assessed mainly using the apnea–hypopnea index. Based on the apnea–hypopnea index, patients are classified into four severity groups: non‐obstructive sleep apnea (apnea–hypopnea index??5); mild (5?≤?apnea–hypopnea index??15); moderate (15?≤?apnea–hypopnea index??30); and severe obstructive sleep apnea (apnea–hypopnea index?≥?30). However, these thresholds lack solid clinical and scientific evidence. We hypothesize that the current apnea–hypopnea index thresholds are not optimal despite their global use, and aim to assess this clinical shortcoming by optimizing the thresholds with respect to the risk of all‐cause mortality. We analysed ambulatory polygraphic recordings of 1,783 patients with suspected obstructive sleep apnea (mean follow‐up 18.3?years). We simulated 79,079 different threshold combinations in 100 randomized subgroups of the population and studied the relative risk of all‐cause mortality corresponding to each combination and randomization. The optimal thresholds were chosen according to three criteria: (a) the hazard ratios increase linearly between severity groups towards more severe obstructive sleep apnea; (b) each group includes at least 15% of the study population; (c) group sizes decrease with increasing obstructive sleep apnea severity. The risk of all‐cause mortality varied greatly across simulations; the threshold defining non‐obstructive sleep apnea group having the largest effect on the hazard ratios. The apnea–hypopnea index threshold combination of 3‐9‐24 was optimal in most of the subgroups. In conclusion, the assessment of obstructive sleep apnea severity based on the current apnea–hypopnea index thresholds is not optimal. Our novel approach provides methods for optimizing apnea–hypopnea index‐based severity classification, and the revised thresholds better differentiate patients into severity groups, ensuring that an increase in the severity corresponds to an increase in the risk of all‐cause mortality.
机译:发明内容临床评估阻塞性睡眠呼吸暂停的严重程度主要使用呼吸暂停缺氧指数进行临床评估。基于呼吸暂停缺氧指数,患者分为四个严重性组:非阻塞睡眠呼吸暂停(呼吸暂停 - 低钠症βΔδ);温和(5?≤α呼吸冻干α-缺氧αα&?15);中等(15?≤α呼吸暂停症染题?<30);和严重的阻塞性睡眠呼吸暂停(呼吸暂停 - 缺氧症状?≥≤30)。然而,这些门槛缺乏固体临床和科学证据。我们假设目前的呼吸暂停症率阈值仍然是最佳的,尽管它们全球使用,并且旨在通过优化关于所有导致死亡率的风险的阈值来评估这种临床缺点。我们分析了1,783名疑似阻塞性睡眠呼吸暂停(平均随访18.3岁)的患者的动态复图记录。我们在100个随机分组组中模拟了79,079个不同的阈值组合,并研究了对应于每个组合和随机化的全导致死亡率的相对风险。根据三个标准选择最佳阈值:(a)危险比在严重群体之间朝向更严重的阻塞性睡眠呼吸暂停之间线性增加; (b)每组占研究人口的至少15%; (c)组大小随着阻塞性睡眠呼吸暂停严重程度的增加而降低。所有原因死亡的风险在模拟中大大变化;定义非阻塞性睡眠呼吸暂停组的阈值对危险比具有最大的影响。在大多数亚组中,呼吸暂停症率阈值组合3-9-24是最佳的。总之,基于当前呼吸暂停症率阈值的阻塞性睡眠呼吸暂停性严重性的评估不是最佳的。我们的新方法提供了优化基于呼吸暂停指数的严重性分类的方法,并且修正的阈值更好地将患者分化为严重性群体,确保严重程度的增加对应于所有导致死亡率的风险的增加。

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