Validation of overnight oximetry to diagnose patients with moderate to severe obstructive sleep apnea

被引:89
作者
Hang, Liang-Wen [1 ,2 ]
Wang, Hsiang-Ling [3 ]
Chen, Jen-Ho [4 ]
Hsu, Jiin-Chyr [5 ]
Lin, Hsuan-Hung [6 ]
Chung, Wei-Sheng [4 ,7 ,8 ]
Chen, Yung-Fu [4 ,8 ,9 ]
机构
[1] China Med Univ Hosp, Dept Internal Med, Sleep Med Ctr, Taichung, Taiwan
[2] China Med Univ, Coll Hlth Care, Dept Resp Therapy, Taichung, Taiwan
[3] Natl Taichung Univ Sci & Technol, Dept Beauty Sci, Taichung, Taiwan
[4] China Med Univ, Dept Hlth Serv Adm, Taichung, Taiwan
[5] Taipei Hosp, Minist Hlth & Welf, Dept Internal Med, New Taipei City, Taiwan
[6] Cent Taiwan Univ Sci & Technol, Dept Management Informat Syst, Taichung, Taiwan
[7] Taichung Hosp, Minist Hlth & Welf, Dept Internal Med, Taichung, Taiwan
[8] Cent Taiwan Univ Sci & Technol, Dept Healthcare Adm, Taichung, Taiwan
[9] Cent Taiwan Univ Sci & Technol, Dept Dent Technol & Mat Sci, Taichung, Taiwan
来源
BMC PULMONARY MEDICINE | 2015年 / 15卷
关键词
Obstructive sleep apnea (OSA); Oximetry; Support vector machine (SVM); Polysomnography (PSG); POSITIVE AIRWAY PRESSURE; DECISION-SUPPORT-SYSTEM; PULSE OXIMETRY; CARDIOVASCULAR-DISEASE; HOME OXIMETRY; POLYSOMNOGRAPHY; QUALITY; ASSOCIATION; VARIABILITY; POPULATION;
D O I
10.1186/s12890-015-0017-z
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Background: Polysomnography (PSG) is treated as the gold standard for diagnosing obstructive sleep apnea (OSA). However, it is labor-intensive, time-consuming, and expensive. This study evaluates validity of overnight pulse oximetry as a diagnostic tool for moderate to severe OSA patients. Methods: A total of 699 patients with possible OSA were recruited for overnight oximetry and PSG examination at the Sleep Center of a University Hospital from Jan. 2004 to Dec. 2005. By excluding 23 patients with poor oximetry recording, poor EEG signals, or respiratory artifacts resulting in a total recording time less than 3 hours; 12 patients with total sleeping time (TST) less than 1 hour, possibly because of insomnia; and 48 patients whose ages less than 20 or more than 85 years old, data of 616 patients were used for further study. By further considering 76 patients with TST < 4 h, a group of 540 patients with TST >= 4 h was used to study the effect of insufficient sleeping time. Alice 4 PSG recorder (Respironics Inc., USA) was used to monitor patients with suspected OSA and to record their PSG data. After statistical analysis and feature selection, models built based on support vector machine (SVM) were then used to diagnose moderate and moderate to severe OSA patients with a threshold of AHI = 30 and AHI = 15, respectively. Results: The SVM models designed based on the oxyhemoglobin desaturation index (ODI) derived from oximetry measurements provided an accuracy of 90.42-90.55%, a sensitivity of 89.36-89.87%, a specificity of 91.08-93.05%, and an area under ROC curve (AUC) of 0.953-0.957 for the diagnosis of severe OSA patients; as well as achieved an accuracy of 87.33-87.77%, a sensitivity of 87.71-88.53%, a specificity of 86.38-86.56%, and an AUC of 0.921-0.924 for the diagnosis of moderate to severe OSA patients. The predictive outcome of ODI to diagnose severe OSA patients is better than to diagnose moderate to severe OSA patients. Conclusions: Overnight pulse oximetry provides satisfactory diagnostic performance in detecting severe OSA patients. Home-styled oximetry may be a tool for severe OSA diagnosis.
引用
收藏
页数:13
相关论文
共 47 条
[1]   Signal Quality Measures on Pulse Oximetry and Blood Pressure Signals Acquired from Self-Measurement in a Home Environment [J].
Abd Sukor, Jumadi ;
Mohktar, Mas S. ;
Redmond, Stephen J. ;
Lovell, Nigel H. .
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2015, 19 (01) :102-108
[2]   Clinical diagnosis of sleep apnea based on single night of polysomnography vs. two nights of polysomnography [J].
Ahmadi, Negar ;
Shapiro, Gilla K. ;
Chung, Sharon A. ;
Shapiro, Colin M. .
SLEEP AND BREATHING, 2009, 13 (03) :221-226
[3]   Automated Recognition of Obstructive Sleep Apnea Syndrome Using Support Vector Machine Classifier [J].
Al-Angari, Haitham M. ;
Sahakian, Alan V. .
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 2012, 16 (03) :463-468
[4]   Rules for Scoring Respiratory Events in Sleep: Update of the 2007 AASM Manual for the Scoring of Sleep and Associated Events [J].
Berry, Richard B. ;
Budhiraja, Rohit ;
Gottlieb, Daniel J. ;
Gozal, David ;
Iber, Conrad ;
Kapur, Vishesh K. ;
Marcus, Carole L. ;
Mehra, Reena ;
Parthasarathy, Sairam ;
Quan, Stuart F. ;
Redline, Susan ;
Strohl, Kingman P. ;
Ward, Sally L. Davidson ;
Tangredi, Michelle M. .
JOURNAL OF CLINICAL SLEEP MEDICINE, 2012, 8 (05) :597-619
[5]   Nocturnal pulse oximetry as an abbreviated testing modality for pediatric obstructive sleep apnea [J].
Brouillette, RT ;
Morielli, A ;
Leimanis, A ;
Waters, KA ;
Luciano, R ;
Ducharme, FM .
PEDIATRICS, 2000, 105 (02) :405-412
[6]   Knowledge-based analysis of microarray gene expression data by using support vector machines [J].
Brown, MPS ;
Grundy, WN ;
Lin, D ;
Cristianini, N ;
Sugnet, CW ;
Furey, TS ;
Ares, M ;
Haussler, D .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2000, 97 (01) :262-267
[7]   Polysomnographic predictors of persistent continuous positive airway pressure adherence in patients with moderate and severe obstructive sleep apnea [J].
Chen, Yung-Fu ;
Hang, Liang-Wen ;
Huang, Chun-Sen ;
Liang, Shinn-Jye ;
Chung, Wei-Sheng .
KAOHSIUNG JOURNAL OF MEDICAL SCIENCES, 2015, 31 (02) :83-89
[8]   Which derivative from overnight oximetry best predicts symptomatic response to nasal continuous positive airway pressure in patients with obstructive sleep apnoea? [J].
Choi, S ;
Bennett, LS ;
Mullins, R ;
Davies, RJO ;
Stradling, JR .
RESPIRATORY MEDICINE, 2000, 94 (09) :895-899
[9]   Training invariant support vector machines [J].
Decoste, D ;
Schölkopf, B .
MACHINE LEARNING, 2002, 46 (1-3) :161-190
[10]   Predicting sleep apnea and excessive day sleepiness in the severely obese - Indicators for polysomnography [J].
Dixon, JB ;
Schachter, LM ;
O'Brien, PE .
CHEST, 2003, 123 (04) :1134-1141