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Published on: December 6, 2016
The Causal Relationship Between Opioid Use and Obstructive Sleep Apnea: A Bidirectional Mendelian Randomization Study
Guoliang Shan1, Yufeng Ma1, Yanwu Jin2
1Department of Anesthesiology, The Second Hospital, Cheeloo College of Medicine, Shandong Province, People's Republic of China.
Opioid use significantly increases the risk of developing obstructive sleep apnea (OSA), but OSA does not appear to increase the likelihood of opioid use. This highlights the need for vigilance regarding respiratory complications in patients on opioid therapy.
Area of Science:
- Genetics
- Epidemiology
- Pharmacology
Background:
- Opioid medications are frequently prescribed for pain relief, yet their association with obstructive sleep apnea (OSA) is debated.
- Understanding this relationship is crucial due to the high prevalence of OSA and rising opioid consumption.
Purpose of the Study:
- To investigate the potential causal link between opioid use and OSA using a bidirectional Mendelian randomization (MR) analysis.
- To determine if opioid exposure elevates OSA risk and if OSA influences opioid initiation or continuation.
Main Methods:
- A 2-sample bidirectional Mendelian randomization (MR) approach was employed.
- Genetic variants from large-scale genome-wide association studies (GWAS) in European populations were utilized as instrumental variables.
- Inverse variance-weighting (IVW) was the primary analysis method, supported by sensitivity analyses including MR-Egger and MR-PRESSO.
Main Results:
- Opioid use was found to significantly increase the risk of developing OSA (OR = 1.32, P = 0.004).
- This association was consistent across primary and supporting analytical methods.
- No significant causal effect of OSA on opioid use was detected in either direction.
Conclusions:
- The study provides robust evidence for a unidirectional causal relationship: opioid use elevates the risk of OSA.
- Findings emphasize the importance of monitoring opioid users for OSA and potential respiratory issues.
- Limitations include binary phenotypes and predominantly European ancestry data, affecting generalizability.
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