Determinants of apnea-hypopnea index variability during home sleep testing

被引:3
|
作者
Martinot, Jean-Benoit [1 ,2 ,6 ]
Le-Dong, Nhat-Nam [3 ]
Tamisier, Renaud [4 ,5 ]
Bailly, Sebastien [4 ,5 ]
Pepin, Jean-Louis [4 ,5 ]
机构
[1] CHU Univ Catholique Louvain UCL, Sleep Lab, Namur Site St Elisabeth, Namur, Belgium
[2] UCL Bruxelles Woluwe, Inst Expt & Clin Res, Brussels, Belgium
[3] Sunrise, Namur, Belgium
[4] Univ Grenoble Alpes, HP2 Lab, Inserm U1300, Grenoble, France
[5] Grenoble Alpes Univ Hosp, EFRC Lab, Grenoble, France
[6] CHU Univ Catholique Louvain, Ctr Sommeil & Vigilance, Namur Site St Elisabeth ,15,Pl Louise Godin, B-5000 Namur, Belgium
关键词
Apnea-hypopnea index; Obstructive sleep apnea; Home sleep apnea testing; Mandibular jaw movements; NIGHT; GUIDELINE; DIAGNOSIS; POSITION; HEAD;
D O I
10.1016/j.sleep.2023.09.002
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: A single-night attended in-laboratory polysomnography or home sleep testing are common approaches for obstructive sleep apnea (OSA) diagnosis. However, internight variability in apnea-hypopnea index value is common, and may result in misclassification of OSA severity and inapropriate treatment decisions.Objective: To investigate factors determining short-term apnea-hypopnea index variability using multi-night automated home sleep testing, and to determine how this variability impacts clinical decisions.Patients/methods: Adults with suspected OSA who successfully performed three home sleep tests using measurements of mandibular jaw movements (Sunrise, Namur, Belgium) combined with automated machine learning analysis were enrolled. Data analysis included principal component analysis, generalized estimating equation regression and qualitative agreement analysis.Results: 160 individuals who performed three sleep tests over a mean of 8.78 +/- 8.48 days were included. The apnea-hypopnea index varied by-0.88 events/h (5th-95th percentile range:-14.33 to 9.72 events/h). Based on a single-night recording, rates of overtreatment and undertreatment would have been of 13.5% and 6.0%, respectively. Regression analysis adjusted for age, sex, body mass index, total sleep time, and time between home sleep tests showed that time spent in deep non-rapid eye movement sleep and with head in supine position were independent significant predictors of the apnea-hypopnea index variability.Conclusions: At the individual level, short-term internight variability in the apnea-hypopnea index was significantly associated with time spent in deep non-rapid eye movement sleep and head in supine position. Clinical decisions based on a single-night testing may lead to errors in OSA severity classification and incorrect thera-peutic decisions.
引用
收藏
页码:86 / 93
页数:8
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