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International Journal of Otolaryngology
Volume 2014, Article ID 438376, 5 pages
http://dx.doi.org/10.1155/2014/438376
Research Article

A Clinical Prediction Formula for Apnea-Hypopnea Index

1Department of Otorhinolaryngology, Diskapi Yildirim Beyazit Research and Training Hospital, Irfan Bastug Street, Dıskapi, 06110 Ankara, Turkey
2Department of Otorhinolaryngology, Ege University School of Medicine, İzmir, Turkey
3Department of Chest Diseases, Ege University School of Medicine, İzmir, Turkey

Received 9 August 2014; Revised 16 September 2014; Accepted 16 September 2014; Published 1 October 2014

Academic Editor: David W. Eisele

Copyright © 2014 Mustafa Sahin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Objectives. There are many studies regarding unnecessary polysomnography (PSG) when obstructive sleep apnea syndrome (OSAS) is suspected. In order to reduce unnecessary PSG, this study aims to predict the apnea-hypopnea index (AHI) via simple clinical data for patients who complain of OSAS symptoms. Method. Demographic, anthropometric, physical examination and laboratory data of a total of 390 patients (290 men, average age 50 ± 11) who were subject to diagnostic PSG were obtained and evaluated retrospectively. The relationship between these data and the PSG results was analyzed. A multivariate linear regression analysis was performed step by step to identify independent AHI predictors. Results. Useful parameters were found in this analysis in terms of body mass index (BMI), waist circumference (WC), neck circumference (NC), oxygen saturation measured by pulse oximetry (SpO2), and tonsil size (TS) to predict the AHI. The formula derived from these parameters was the predicted AHI = (0.797 × BMI) + (2.286 × NC) − (1.272 × SpO2) + (5.114 × TS) + (0.314 × WC). Conclusion. This study showed a strong correlation between AHI score and indicators of obesity. This formula, in terms of predicting the AHI for patients who complain about snoring, witnessed apneas, and excessive daytime sleepiness, may be used to predict OSAS prior to PSG and prevent unnecessary PSG.