The Association between All-Cause Mortality and Obstructive Sleep Apnea in Adults: A U-Shaped Curve.

Mehrnaz Azarian, Amin Ramezani, Amir Sharafkhaneh, Arash Maghsoudi, Meir Kryger, Robert J Thomas, M Brandon Westover, Javad Razjouyan
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Abstract

Rationale: The relationship between sleep apnea (SA) and mortality remains a topic of debate. Objectives: We explored the relationship between the severity of SA and mortality and the effect of age on this association. Methods: Using a veterans' database, we extracted an apnea-hypopnea index (AHI) from physician interpretations of sleep studies by developing a natural language processing pipeline (with 944 manually annotated notes), which achieved more than 85% accuracy. We categorized the participants into no SA (n-SA; AHI, <5), mild to moderate SA (m-SA; 5 ⩽ AHI < 30), and severe SA (s-SA; AHI, ⩾30). We propensity-matched the m-SA and s-SA categories with n-SA on the basis of age, sex, race, ethnicity, body mass index, and 38 components of the Elixhauser Comorbidity Index. Using logistic regression, we estimated the odds ratio (OR) for all-cause mortality using m-SA as a reference. Also, we stratified the findings on the basis of age: young, ⩽40; middle aged, >40 and <65; and older, ⩾65 adults. Results: We extracted the AHI on 179,121 propensity-matched participants (mean age = 45.85 [SD = 14.1]; BMI = 30.15 ± 5.37 kg/m2; male, 79.09%; White, 64.5%). All-cause mortality rates among three AHI categories showed a U-shaped curve (11.55%, 7.07%, and 8.15% for n-SA, m-SA, and s-SA, respectively), regardless of age group. Compared with m-SA, the odds of all-cause mortality in n-SA (OR, 1.72; 95% confidence interval = 1.65-1.79) and s-SA (OR, 1.17; 95% confidence interval = 1.12-1.22) were higher. Stratifying by age yielded consistent findings. Conclusions: All-cause mortality showed a U-shaped association with the AHI. Further investigations to understand the underlying mechanisms of this phenomenon are warranted.

成人全因死亡率与阻塞性睡眠呼吸暂停之间的关系:u型曲线。
基本原理和目的:睡眠呼吸暂停(SA)与死亡率之间的关系仍然是一个有争议的话题。我们探讨了SA的严重程度和死亡率之间的关系以及年龄对这种关联的影响。方法:使用退伍军人数据库,通过开发自然语言处理(NLP)管道(包含944条手动注释),从医生对睡眠研究的解释中提取呼吸暂停-低通气指数(AHI),准确率超过85%。我们将参与者分为无SA (n-SA, AHI< 5)、轻至中度SA (m-SA, 5≤AHI40)和测量及主要结果:我们提取了179,121名倾向匹配参与者的AHI(年龄,45.85±14.1;BMI 30.15±5.37 kg/m2;男性79.09%;64.5%的白人)。3种AHI类别的全因死亡率不分年龄组均呈u型曲线(n-SA、m-SA和s-SA分别为11.55%、7.07%和8.15%)。与m-SA相比,n-SA的全因死亡率(OR, 1.72;95%CI:1.65,1.79)和s-SA (OR, 1.17;95%CI:1.12,1.22)较高。按年龄分层得到一致的结果。结论:全因死亡率与AHI呈u型相关。有必要进行进一步的调查,以了解这一现象的潜在机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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