Literature DB >> 34554375

A novel, simple, and accurate pulse oximetry indicator for screening adult obstructive sleep apnea.

Carlos Alberto Nigro1,2, Gonzalo Castaño3,4, Ignacio Bledel3,5, Alfredo Colombi6, María Cecilia Zicari6.   

Abstract

OBJECTIVE: The objective of the study was to develop a multiparametric oximetry indicator (IMp-SpO2) to diagnose obstructive sleep apnea in adults. MATERIAL AND
METHOD: This was an observational, retrospective study of diagnostic accuracy. We included adults who had had a diagnostic polysomnography with few artifacts and a total sleep time of at least 180 min in the sleep laboratory. Obstructive sleep apnea (OSA) was defined as an apnea-hypopnea index (AHI) ≥ 5. The database was randomly divided into an experimental (Exp-G) and validation (Val-G) group. The program calculated several parameters of oxygen saturation variability (Par-VarSpO2): (a) oxygen desaturation index (ODI ≥ 3, 4%) and (b) 90, 95, and 97.5 percentiles of both the number of oxygen desaturations ≥ 3 and 4% (P90-97.5 OD3/4 W5-60) and SpO2 standard deviations in moving windows from 5 to 60 min (P90-P97.5 SDSpO2 W5-10). Area under the ROC curve (AUC-ROC), sensitivity, specificity, positive/negative likelihood ratios, and accuracy were calculated.
RESULTS: Of 1141 adults included in the study, experimental (571) and validation group (570) were similar (women 47% vs 45%, BMI 27.5 kg/m2 vs 27.2 kg/m2, and AHI 11.7 vs 12, p NS). The IMp-SpO2 developed in the experimental group consisted of a combination of 10 parameters of oxygen saturation variability. The presence of at least one IMp-SpO2 variable had a high diagnostic performance for OSA (sensitivity/specificity/accuracy: Exp-G: 92.8/94/93.2%; Val-G: 93/95.2/93.7%). The IMp-SpO2 AUC-ROC was higher (Exp-G 0.934, Val-G 0.941) than most of the Par-VarSpO2 (0.898-0.929, p < 0.05).
CONCLUSION: The IMp-SpO2 showed a > 90% accuracy for OSA diagnosis in adults.
© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  Machine learning; Obstructive sleep apnea syndrome; Oximetry; Pattern recognition; Screening; Signal processing

Mesh:

Substances:

Year:  2021        PMID: 34554375     DOI: 10.1007/s11325-021-02439-4

Source DB:  PubMed          Journal:  Sleep Breath        ISSN: 1520-9512            Impact factor:   2.655


  24 in total

Review 1.  A review of approaches for analysing obstructive sleep apnoea-related patterns in pulse oximetry data.

Authors:  Philip I Terrill
Journal:  Respirology       Date:  2019-06-27       Impact factor: 6.424

2.  Multivariate analysis of blood oxygen saturation recordings in obstructive sleep apnea diagnosis.

Authors:  Daniel Alvarez; Roberto Hornero; J Víctor Marcos; Félix del Campo
Journal:  IEEE Trans Biomed Eng       Date:  2010-07-08       Impact factor: 4.538

3.  Probabilistic neural network approach for the detection of SAHS from overnight pulse oximetry.

Authors:  Daniel Sánchez Morillo; Nicole Gross
Journal:  Med Biol Eng Comput       Date:  2012-11-18       Impact factor: 2.602

4.  Accuracy of oximetry for detection of respiratory disturbances in sleep apnea syndrome.

Authors:  P Lévy; J L Pépin; C Deschaux-Blanc; B Paramelle; C Brambilla
Journal:  Chest       Date:  1996-02       Impact factor: 9.410

Review 5.  Pediatric OSAS: Oximetry can provide answers when polysomnography is not available.

Authors:  Athanasios Kaditis; Leila Kheirandish-Gozal; David Gozal
Journal:  Sleep Med Rev       Date:  2015-06-04       Impact factor: 11.609

Review 6.  Pediatric sleep-disordered breathing: an update on diagnostic testing.

Authors:  Brian McGrath; Jerrold Lerman
Journal:  Curr Opin Anaesthesiol       Date:  2017-06       Impact factor: 2.706

7.  Utility of home oximetry as a screening test for patients with moderate to severe symptoms of obstructive sleep apnea.

Authors:  R Golpe; A Jiménez; R Carpizo; J M Cifrian
Journal:  Sleep       Date:  1999-11-01       Impact factor: 5.849

Review 8.  Overnight pulse oximetry for sleep-disordered breathing in adults: a review.

Authors:  N Netzer; A H Eliasson; C Netzer; D A Kristo
Journal:  Chest       Date:  2001-08       Impact factor: 9.410

9.  Validation of the WristOx 3100 oximeter for the diagnosis of sleep apnea/hypopnea syndrome.

Authors:  Carlos Alberto Nigro; Silvia Aimaretti; Sergio Gonzalez; Edgardo Rhodius
Journal:  Sleep Breath       Date:  2008-10-02       Impact factor: 2.816

10.  Can standard deviation of overnight pulse oximetry be used to screen childhood obstructive sleep apnea.

Authors:  Siriporn Warapongmanupong; Aroonwan Preutthipan
Journal:  Int J Pediatr Otorhinolaryngol       Date:  2019-01-07       Impact factor: 1.675

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  1 in total

1.  Quantitative Data Integration Analysis Method for Cross-Studies: Obstructive Sleep Apnea as an Example.

Authors:  Rong Zhou; Shengrong Zhou; Qiguang Xia; Tiejun Zhang; Guoqing Zhang
Journal:  Comput Math Methods Med       Date:  2022-06-07       Impact factor: 2.809

  1 in total

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