|
|
||||||||
Guest Access | Sign In via User Name/Password |
|||||||||
* From the Division of Pulmonary, Critical Care, and Sleep Medicine (Drs. Magalang, Draw, and El-Solh), Department of Medicine (Dr. Veeramachaneni); Department of Social and Preventive Medicine (Dr. Dmochowski), University at Buffalo; and Veterans Affairs Medical Center (Drs. Mador and Grant), Buffalo, NY.
Correspondence to: Brydon J. B. Grant, MD, FCCP, Veterans Affairs Medical Center (111-S), 3495 Bailey Ave, Buffalo, NY 14215; e-mail: grant{at}buffalo.edu
Study objectives: To compare the relative usefulness of the different indexes derived from pulse oximetry in the diagnosis of obstructive sleep apnea (OSA), and to determine if a combination of these indexes improves the prediction of the apnea-hypopnea index (AHI) measured by polysomnography.
Design: Prediction model developed from 224 patients, validated prospectively in 101 patients from the same center (group 1) and in 191 patients from a different sleep center (group 2).
Setting: Two independent sleep clinics run by university sleep specialists.
Participants: Patients who underwent polysomnography for suspicion of OSA.
Interventions: The following indexes were calculated from pulse oximetry recordings performed simultaneously during polysomnography: (1)
index, the average of the absolute differences of oxygen saturation between successive 12-s intervals; (2) desaturation events per hour to 2%, 3%, and 4% levels; and (3) cumulative time spent below 90%, 88%, 86%, 84%, 82%, and 80% saturation.
Measurements and results: The best predictor was the
index, although desaturation events provided similar levels of diagnostic accuracy. An aggregation of multivariate models using combination of indexes reduced the prediction error (r2 = 0.70) significantly (p < 0.05) compared to using the
index alone (r2 = 0.60). The proportion of subjects from the validation groups within 95% confidence interval (CI) of the derivation group was 90% (95% CI, 83 to 95%) and 91% (95% CI, 86 to 95%) for groups 1 and 2, respectively. The overall likelihood ratios for the aggregated model in all patient groups were 4.2 (95% CI, 3.3 to 15.3), 3.4 (95% CI, 2.7 to 4.3), 3.0 (95% CI, 2.2 to 4.1), and 6.7 (95% CI, 4.9 to 9.2) for normal (AHI < 5/h), mild (AHI 5 to < 15/h), moderate (AHI 15 to < 30/h), and severe (AHI
30/h) disease, respectively.
Conclusions: The
index and oxygen desaturation indexes provided similar levels of diagnostic accuracy. The combination of indexes improved the precision of the predicted AHI and may offer a potentially simpler alternative to polysomnography.
Key Words: bootstrap aggregation clinical prediction rules multivariate adaptive regression splines overnight polysomnography pulse oximetry sleep apnea syndrome
This article has been cited by other articles:
![]() |
D. Hwang, N. Shakir, B. Limann, C. Sison, S. Kalra, L. Shulman, A. d. C. Souza, and H. Greenberg Association of Sleep-Disordered Breathing With Postoperative Complications Chest, May 1, 2008; 133(5): 1128 - 1134. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. Ramsey, R. Mehra, and K. P. Strohl Variations in Physician Interpretation of Overnight Pulse Oximetry Monitoring Chest, September 1, 2007; 132(3): 852 - 859. [Abstract] [Full Text] [PDF] |
||||
![]() |
C.-C. Hua and C.-C. Yu Smoothed Periodogram of Oxyhemoglobin Saturation by Pulse Oximetry in Sleep Apnea Syndrome: An Automated Analysis Chest, March 1, 2007; 131(3): 750 - 757. [Abstract] [Full Text] [PDF] |
||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |