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Electrocardiographic Associations Seen with Obstructive Sleep Apnea
Shyam Shankar1, Sushilkumar Satish Gupta1, Geurys Rojas-Marte2
1Fellow, Department of Pulmonary and Critical Care Medicine, Maimonides Medical Center, Brooklyn, New York, USA.
Sleep Disorders
|April 3, 2019
Summary
Electrocardiogram features like deep S waves were associated with obstructive sleep apnea (OSA) in univariate analysis. However, these associations were not significant in multivariate analysis, suggesting ECG may not be a reliable tool for OSA assessment.
Area of Science:
- Cardiology
- Sleep Medicine
- Respiratory Medicine
Background:
- Obstructive sleep apnea (OSA) is a common, underdiagnosed respiratory disorder with significant comorbidities.
- The relationship between electrocardiogram (ECG) findings and OSA severity is not well-established.
- This study investigates potential ECG markers for OSA.
Purpose of the Study:
- To explore the association between specific ECG features and the presence and severity of OSA.
- To determine if ECG can serve as a non-invasive tool for OSA risk stratification.
Main Methods:
- Retrospective review of 265 patient records (215 with OSA, 41 controls).
- Analysis of ECG features and their correlation with OSA severity.
- Statistical analysis included t-tests, chi-square tests, and logistic regression.
Main Results:
- Males and older individuals were more likely to have OSA.
- Deep S waves in V5-6 and RS pattern with deep S waves in leads I and AVF showed univariate association with OSA.
- These associations lost statistical significance in multivariate analysis controlling for confounders.
Conclusions:
- While ECG is a safe and cost-effective tool, specific analyzed features did not prove to be significant independent predictors of OSA.
- Further research is needed to identify reliable ECG markers for OSA risk stratification.
- ECG's role in early OSA assessment requires more investigation.
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