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
相关论文
共 50 条
  • [21] Rhythm disturbances in childhood obstructive sleep apnea during apnea-hypopnea episodes
    Khositseth, Anant
    Chokechuleekorn, Jittamas
    Kuptanon, Teeradej
    Leejakpai, Anchalee
    ANNALS OF PEDIATRIC CARDIOLOGY, 2013, 6 (01) : 39 - 42
  • [22] Association of sleep time in supine position with apnea-hypopnea index as evidenced by successive polysomnography
    Yalciner, Gokhan
    Babademez, Mehmet Ali
    Gul, Fatih
    SLEEP AND BREATHING, 2017, 21 (02) : 289 - 294
  • [23] Demographic, clinical, and biomarker predictors of apnea-hypopnea index from polysomnography in Midwestern sleep clinic patients
    Miller, Jennifer N.
    Berger, Ann M.
    Kupzyk, Kevin A.
    SLEEP AND BREATHING, 2021, 25 (01) : 57 - 64
  • [24] Estimation of Apnea-Hypopnea Index in Sleep Breathing Disorders with the Use of Artificial Neural Networks
    Walczak, Tomasz
    Ferdula, Renata
    Michalowska, Martyna
    Grabski, Jakub Krzysztof
    Cofta, Szczepan
    INNOVATIONS IN BIOMEDICAL ENGINEERING, 2019, 925 : 96 - 106
  • [25] Impact of the timing of drug-induced sleep endoscopy on the apnea-hypopnea index during polysomnography
    Maurer, Joachim T.
    Gasparic, Merle
    Huseynov, Jamal
    SOMNOLOGIE, 2024, 28 (04): : 261 - 267
  • [26] Automated Prediction of the Apnea-Hypopnea Index from Nocturnal Oximetry Recordings
    Victor Marcos, J.
    Hornero, Roberto
    Alvarez, Daniel
    Aboy, Mateo
    Del Campo, Felix
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2012, 59 (01) : 141 - 149
  • [27] On the rise and fall of the apnea-hypopnea index: A historical review and critical appraisal
    Pevernagie, Dirk A.
    Gnidovec-Strazisar, Barbara
    Grote, Ludger
    Heinzer, Raphael
    McNicholas, Walter T.
    Penzel, Thomas
    Randerath, Winfried
    Schiza, Sophia
    Verbraecken, Johan
    Arnardottir, Erna S.
    JOURNAL OF SLEEP RESEARCH, 2020, 29 (04)
  • [28] Baseline apnea-hypopnea index threshold and adenotonsillectomy consideration in children with OSA
    Gourishetti, Saikrishna C.
    Hamburger, Emily
    Pereira, Kevin D.
    Mitchell, Ron B.
    Isaiah, Amal
    INTERNATIONAL JOURNAL OF PEDIATRIC OTORHINOLARYNGOLOGY, 2021, 151
  • [29] A comparison between auto-scored apnea-hypopnea index and oxygen desaturation index in the characterization of positional obstructive sleep apnea
    Levendowski, Daniel J.
    Hamilton, Garun S.
    St Louis, Erik K.
    Penzel, Thomas
    Dawson, David
    Westbrook, Philip R.
    NATURE AND SCIENCE OF SLEEP, 2019, 11 : 69 - 78
  • [30] Incidence of Obstructive Sleep Apnea in Elderly Edentulous Patients and the Possible Correlation of Serum Serotonin and Apnea-Hypopnea Index
    Tripathi, Arvind
    Bagchi, Soumyojeet
    Singh, Juhi
    Tripathi, Suryakant
    Gupta, Narendra Kumar
    Arora, Varun
    JOURNAL OF PROSTHODONTICS-IMPLANT ESTHETIC AND RECONSTRUCTIVE DENTISTRY, 2019, 28 (02): : E843 - E848