Age modulates the predictive value of self-reported sleepiness for all-cause mortality risk: insights from a comprehensive national database of veterans.

IF 3.5 3区 医学 Q1 CLINICAL NEUROLOGY
Arash Maghsoudi, Mehrnaz Azarian, Amir Sharafkhaneh, Melissa B Jones, Hoormehr Nozari, Meir Kryger, Amin Ramezani, Javad Razjouyan
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Abstract

Study objectives: Excessive daytime sleepiness is prevalent and overwhelmingly stems from disturbed sleep. We hypothesized that age modulates the association between excessive daytime sleepiness and increased all-cause mortality.

Methods: We utilized the Veterans' Health Administration data from 1999-2022. We enrolled participants with sleep related International Classification of Diseases 9/10 codes or sleep services. A natural language processing pipeline was developed and validated to extract the Epworth Sleepiness Scale (ESS) as a self-reported tool to measure excessive daytime sleepiness from physician progress notes. The natural language processing's accuracy was assessed through manual annotation of 470 notes. Participants were categorized into normal-ESS (ESS 0-10) and high-ESS (ESS 11-24). We created 3 age groups: < 50 years, 50 to < 65 years, and ≥ 65 years. The adjusted odds ratio of mortality was calculated for age, body mass index, sex, race, ethnicity, and the Charlson Comorbidity Index, using normal-ESS as the reference. Subsequently, we conducted age stratified analysis.

Results: The first ESS records were extracted from 423,087 veterans with a mean age of 54.8 (± 14.6), mean body mass index of 32.6 (± 6.2), and 90.5% male. The adjusted odds ratio across all ages was 17% higher (1.15, 1.19) in the high-ESS category. The adjusted odds ratio s only became statistically significant for individuals aged ≥ 50 years in the high-ESS compared to the normal-ESS category (< 50 years: 1.02 [0.96, 1.08], 50 to < 65 years 1.13[1.10, 1.16]; ≥ 65 years: 1.25 [1.21, 1.28]).

Conclusions: High-ESS predicted increased mortality only in participants aged 50 and older. Further research is required to identify this differential behavior in relation to age.

Citation: Maghsoudi A, Azarian M, Sharafkhaneh A, et al. Age modulates the predictive value of self-reported sleepiness for all-cause mortality risk: insights from a comprehensive national database of veterans. J Clin Sleep Med. 2024;20(11):1785-1792.

年龄可调节自我报告的嗜睡对全因死亡风险的预测价值:来自退伍军人国家综合数据库的启示。
研究目的:白天过度嗜睡(EDS)是一种普遍现象,绝大多数源于睡眠紊乱。我们假设年龄会调节 EDS 与全因死亡率增加之间的关系:我们利用了退伍军人健康管理局 1999-2022 年的数据。我们登记了与睡眠相关的 ICD9/10 代码或睡眠服务的参与者。我们开发并验证了一种自然语言处理(NLP)管道,以提取埃普沃思嗜睡量表(ESS)作为自我报告工具,从医生的进展记录中测量 EDS。通过对 470 份笔记进行人工标注,对 NLP 的准确性进行了评估。参与者被分为正常ESS(ESS 0-10)和高ESS(ESS 11-24)两类。我们设立了三个年龄组:< 小于 50 岁;50 至小于 65 岁;≥ 65 岁。我们以 n-ESS 为参照,计算了年龄、体重指数、性别、种族、民族和夏尔森合并症指数 (CCI) 的调整后死亡率几率比 (aOR)。随后,我们进行了年龄分层分析:我们从 423,087 名退伍军人中提取了首批 ESS 记录,他们的平均年龄为 54.8 (±14.6)岁,平均体重指数为 32.6 (±6.2),90.5% 为男性。在所有年龄段中,h-ESS 类别的 aOR 高出 17% (1.15,1.19)。与 n-ESS 类别相比,只有年龄≥ 50 岁的 h-ESS 患者的 aORs 才具有统计学意义(< 50 岁:1.02[0.96,1.08],50 至 < 65 岁 1.13[1.10,1.16];≥ 65 岁:结论:高ESS仅预示着50岁及以上参与者的死亡率增加。需要进一步研究以确定这种与年龄相关的差异行为。
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来源期刊
CiteScore
6.20
自引率
7.00%
发文量
321
审稿时长
1 months
期刊介绍: Journal of Clinical Sleep Medicine focuses on clinical sleep medicine. Its emphasis is publication of papers with direct applicability and/or relevance to the clinical practice of sleep medicine. This includes clinical trials, clinical reviews, clinical commentary and debate, medical economic/practice perspectives, case series and novel/interesting case reports. In addition, the journal will publish proceedings from conferences, workshops and symposia sponsored by the American Academy of Sleep Medicine or other organizations related to improving the practice of sleep medicine.
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