Risk of Infertility in Males with Obstructive Sleep Apnea: A Nationwide, Population-Based, Nested Case-Control Study.
Pin-Yao LinHua TingYen-Ting LuJing-Yang HuangTsung-Hsien LeeMaw-Sheng LeeJames Cheng-Chung WeiPublished in: Journal of personalized medicine (2022)
Obstructive sleep apnea (OSA) yields intermittent hypoxia, hypercapnia, and sleep fragmentation. OSA is associated with chronic medical conditions such as cardiovascular diseases, metabolic syndrome, and neurocognitive dysfunction. However, the risk of infertility in OSA remains unclear due to limited data and lack of long-term population-based studies. The study aims to assess the risk of infertility in obstructive sleep apnea (OSA) by means of a population-based cohort study. The data was utilized from the Taiwan National Health Insurance Research Database (NHIRD) to conduct a population-based cohort study (1997-2013). Compared with the Non-OSA group, the male with OSA and surgery group has the OR (odds ratio) of infertility of 2.70 (95% CI, 1.46-4.98, p = 0.0015), but no significance exists in females with OSA. When the data was stratified according to age and gender, some associations in the specific subgroups were significant. Respectively, males aged 20-35 years old and aged 35-50 years old with a history of OSA and surgery both had a positive association with infertility. (aOR: 3.19; 95% CI, 1.18-8.66, p = 0.0227; aOR: 2.57; 95% CI, 1.18-5.62 p = 0.0176). Male patients with OSA suffer from reduced fertility, but no significant difference was noted in females with OSA. The identification of OSA as a risk factor for male infertility will aid clinicians to optimize long-term medical care. Furthermore, more studies will be encouraged to clarify the effect of OSA on female fertility.
Keyphrases
- obstructive sleep apnea
- positive airway pressure
- sleep apnea
- metabolic syndrome
- electronic health record
- healthcare
- big data
- coronary artery disease
- coronary artery bypass
- adipose tissue
- palliative care
- skeletal muscle
- depressive symptoms
- case control
- quality improvement
- cardiovascular risk factors
- bipolar disorder
- machine learning
- percutaneous coronary intervention
- drug induced