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连续性脑损伤康复入院患者睡眠呼吸暂停的发病率、特征及预测因素

Incidence, Characterization, and Predictors of Sleep Apnea in Consecutive Brain Injury Rehabilitation Admissions.

作者信息

Holcomb Erin M, Schwartz Daniel J, McCarthy Marissa, Thomas Bryan, Barnett Scott D, Nakase-Richardson Risa

机构信息

Departments of MHBS (Drs Holcomb and Nakase-Richardson), Medicine (Dr Schwartz), and Rehabilitation Medicine (Drs McCarthy, Thomas), James A. Haley Veterans' Hospital, Tampa, Florida; Departments of Medicine (Drs Schwartz and Nakase-Richardson) and Neurology (Drs McCarthy and Thomas), University of South Florida, Tampa; and Department of Research (Dr Barnett), Center of Innovation in Disability Rehabilitation and Research (CINDRR) (Dr Nakase-Richardson), and Defense and Veterans Brain Injury Center (DVBIC) (Dr Nakase-Richardson), James A. Haley Veterans' Hospital, Tampa, Florida.

出版信息

J Head Trauma Rehabil. 2016 Mar-Apr;31(2):82-100. doi: 10.1097/HTR.0000000000000230.

Abstract

OBJECTIVE

To prospectively examine the incidence and risk factors for sleep apnea in consecutive brain injury rehabilitation admissions.

SETTING

Inpatient neurorehabilitation hospital.

PARTICIPANTS

Participants (n = 86) were consecutive neurorehabilitation admissions.

DESIGN

Retrospective analysis of prospectively collected data.

MAIN MEASURES

Polysomnography.

RESULTS

Half (49%) of the sample was diagnosed with sleep apnea. For the full sample, univariate logistic regression revealed age (odds ratio: 1.08; 95% confidence interval: 1.04-1.11) and hypertension (odds ratio: 7.77; 95% confidence interval: 2.81-21.47) as significant predictors of sleep apnea diagnosis. Results of logistic regression conducted within the traumatic brain injury group revealed age (odds ratio: 1.07; 95% confidence interval: 1.02-1.13) as the only significant predictor of apnea diagnosis after adjustment for other variables. Hierarchical generalized linear regression models for the prediction of apnea severity (ie, apnea-hypopnea index found that Functional Independence Measure Cognition Score (P = .01) and age (P < .01) were significant predictors. Following adjustment for all other terms, only age (P < .01) remained significant.

CONCLUSION

Sleep apnea is prevalent in acute neurorehabilitation admissions and traditional risk profiles for sleep apnea may not effectively screen for the disorder. Given the progressive nature of obstructive sleep apnea and morbidity associated with even mild obstructive sleep apnea, early identification and intervention may address comorbidities influencing acute and long-term outcome.

摘要

目的

前瞻性研究连续性脑损伤康复住院患者睡眠呼吸暂停的发病率及危险因素。

设置

住院神经康复医院。

参与者

参与者(n = 86)为连续性神经康复住院患者。

设计

对前瞻性收集的数据进行回顾性分析。

主要测量指标

多导睡眠图。

结果

样本中有一半(49%)被诊断为睡眠呼吸暂停。对于整个样本,单因素逻辑回归显示年龄(比值比:1.08;95%置信区间:1.04 - 1.11)和高血压(比值比:7.77;95%置信区间:2.81 - 21.47)是睡眠呼吸暂停诊断的显著预测因素。在创伤性脑损伤组中进行的逻辑回归结果显示,在对其他变量进行调整后,年龄(比值比:1.07;95%置信区间:1.02 - 1.13)是呼吸暂停诊断的唯一显著预测因素。用于预测呼吸暂停严重程度(即呼吸暂停低通气指数)的分层广义线性回归模型发现,功能独立性测量认知评分(P = .01)和年龄(P < .01)是显著预测因素。在对所有其他因素进行调整后,只有年龄(P < .01)仍然显著。

结论

睡眠呼吸暂停在急性神经康复住院患者中很普遍,睡眠呼吸暂停的传统风险特征可能无法有效筛查该疾病。鉴于阻塞性睡眠呼吸暂停的渐进性以及即使是轻度阻塞性睡眠呼吸暂停也会导致发病,早期识别和干预可能有助于解决影响急性和长期预后的合并症。

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