Study on Correlations among Polysomnogram Indices for Obstructive Sleep Apnea-Hypopnea Patients.
- Author:
Hyun Joon SHIM
1
;
Bon Jo KOO
;
Kyung Hoon PARK
;
Soon Uk KWON
;
Sang Won YOON
;
Eui Joong KIM
Author Information
1. Department of Otolaryngology, School of Medicine, EulJi University, Seoul, Korea. 0simpson@hanmail.net
- Publication Type:Original Article
- Keywords:
Obstructive sleep apnea;
Polysomnography
- MeSH:
Apnea;
Arousal;
Diagnosis;
Humans;
Linear Models;
Polysomnography*;
Sleep Apnea, Obstructive
- From:Korean Journal of Otolaryngology - Head and Neck Surgery
2004;47(9):849-853
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
BACKGROUND AND OBJECTIVES: The polysomnography is essential for diagnosis of obstructive sleep apnea-hypopnea (OSAH) and provides important objective information. But, in fact, there are some difficulties for comprehensive interpretation of multiple indices from the polysomnogram. This study was designed to find out which polysomnogram indices were significant to respiratory distress indices (RDI) and apnea index (AI) on statistical correlation and which other indices should be considered together for proper management plan apart from RDI and AI (respiratory index). SUBJECTS AND METHOD: We evaluated 40 patients whose RDI were over 5 as the result of overnight polysomnography before any management from February 2003 to September 2003 at Eulji medical center. By multiple linear regression analysis, we studied the relationship of RDI and AI as dependent variables to ST, O2 desaturation events (O2DE), lowest O2 saturation (LoO2), slow wave sleep portion (S3&S4), arousal index (ArI), body-mass index (BMI) and age. We also studied the relationship of ST as an dependent variable to O2DE, LoO2, S3&S4, ArI, BMI, and age. RESULTS: 1) There were significant correlations between RDI and O2DE, ArI as was true between AI and O2DE, ArI (p<0.05). And there was no significant difference in the degree of the correlation between RDI and AI. 2) Other variables such as ST, LoO2, S3&S4, BMI and age were not significant. 3) ST had no significant correlation with respiratory index and any other variables (p<0.05). CONCLUSION: Because the respiratory index may not the entire physical status during sleep for OSAH patients, multiple indices (such as LoO2, BMI, ST, S3&S4, age) should be considered together apart from the respiratory index for proper management plan.
