Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA; Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Department of Medicine, Baylor College of Medicine, Houston, TX, USA; Pulmonary, Critical Care and Sleep Medicine Section, Medical Care Line, Michael E. DeBakey VA Medical Center, Houston, TX, USA.
Sleep Med. 2024 Sep;121:18-24. doi: 10.1016/j.sleep.2024.06.012. Epub 2024 Jun 13.
While sleep apnea (SA) gets more prevalent with advancing age, the impact of age on the association between SA and health outcomes is not well known. We assessed the association between the severity of SA and all-cause mortality in different age groups using large longitudinal data.
We applied a Natural Language Processing pipeline to extract the apnea-hypopnea index (AHI) from the physicians' interpretation of sleep studies performed at the Veteran Health Administration (FY 1999-2022). We categorized the participants as no SA (n-SA, AHI< 5) and severe SA (s-SA, AHI≥30). We grouped the cohort based on age: Young≤40; Middle-aged:40-65; and Older adults≥65; and calculated the odds ratio (aOR) of mortality adjusted for age, sex, race, ethnicity, BMI, and Charlson-Comorbidity Index (CCI) using n-SA as the reference.
We identified 146,148 participants (age 52.23 ± 15.02; BMI 32.11 ± 6.05; male 86.7 %; White 66 %). Prevalence of s-SA increased with age. All-cause mortality was lower in s-SA compared to n-SA in the entire cohort (aOR,0.56; 95%CI: 0.54,0.58). Comparing s-SA to n-SA, the all-cause mortality rates (Young 1.86 % vs 1.49 %; Middle-aged 12.07 % vs 13.34 %; and Older adults 26.35 % vs 40.18 %) and the aOR diminished as the age increased (Young: 1.11, 95%CI: 0.93-1.32; Middle-aged: 0.64, 95%CI: 0.61-0.67; and Older adults: 0.44, 95%CI: 0.41-0.46).
The prevalence of severe SA increased while the odds of all-cause mortality compared to n-SA diminished with age. SA may exert less harmful effects on the aged population. A causality analysis is warranted to assess the relationship between SA, aging, and all-cause mortality.
随着年龄的增长,睡眠呼吸暂停(SA)的发病率越来越高,但年龄对 SA 与健康结果之间关联的影响尚不清楚。我们使用大量纵向数据评估了不同年龄组中 SA 严重程度与全因死亡率之间的关系。
我们应用自然语言处理(NLP)管道从退伍军人事务部(Veteran Health Administration,VHA)进行的睡眠研究的医生解释中提取呼吸暂停低通气指数(apnea-hypopnea index,AHI)(1999 年至 2022 年)。我们将参与者分为无 SA(n-SA,AHI<5)和严重 SA(s-SA,AHI≥30)。我们根据年龄将队列分组:年轻组(≤40 岁)、中年组(40-65 岁)和老年组(≥65 岁),并使用 n-SA 作为参考,根据年龄、性别、种族、族裔、BMI 和 Charlson 合并症指数(Charlson-Comorbidity Index,CCI)调整死亡率的优势比(odds ratio,aOR)。
我们确定了 146148 名参与者(年龄 52.23±15.02 岁;BMI 32.11±6.05;男性占 86.7%;白人占 66%)。s-SA 的患病率随着年龄的增长而增加。与 n-SA 相比,整个队列的全因死亡率在 s-SA 中较低(aOR,0.56;95%CI:0.54,0.58)。与 n-SA 相比,s-SA 的全因死亡率(年轻组为 1.86%比 1.49%;中年组为 12.07%比 13.34%;老年组为 26.35%比 40.18%)和 aOR 随着年龄的增长而降低(年轻组为 1.11,95%CI:0.93-1.32;中年组为 0.64,95%CI:0.61-0.67;老年组为 0.44,95%CI:0.41-0.46)。
与 n-SA 相比,严重 SA 的患病率增加,而全因死亡率的几率降低。SA 对老年人群的危害可能较小。需要进行因果分析来评估 SA、衰老和全因死亡率之间的关系。