Glaucoma Is Associated with the Risk of Obstructive Sleep Apnea: A Population-Based Nationwide Cohort Study

Lee, So Yeon; Yu, Hyunjae; Kim, Chang Woo

doi:10.3390/diagnostics12122992

Cited by 5 publications

(6 citation statements)

References 41 publications

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“… 12 In contrast, a population-based nationwide cohort study showed no significant increase in the risk of OSA in patients with POAG. 10 A meta-analysis of OSA in patients with glaucoma confirmed that OSA is associated with a significantly increased risk of glaucoma. 48 A recently published meta-analysis suggested that OSA is associated with a higher risk of glaucoma and its subtype.…”

Section: Discussionmentioning

confidence: 98%

“…[6][7][8] In contrast, patients with glaucoma are more susceptible than healthy people to sleep dysfunction such as obstructive sleep apnea (OSA), snoring, or insomnia. [9][10][11][12][13] Despite increasing evidence from observational studies suggesting a correlation between sleep behaviors and POAG, there have also been several clinical studies reporting no association between them, [14][15][16] with the existing literature on the subject being inconclusive and debatable. Additionally, whether demographics, socioeconomic status, and comorbidities are potential confounding factors in this relationship remains to be elucidated.…”

Section: Introductionmentioning

confidence: 99%

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Investigating the Causal Relationship Between Sleep Behaviors and Primary Open-Angle Glaucoma: A Bidirectional Two-Sample Mendelian Randomization Study

Zhang,

Chen,

Zhu

et al. 2024

NSS

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Background Although previous studies of sleep-related behaviors in relation to primary open-angle glaucoma (POAG) have been noted, the causal relationship remains unclear. The purpose of our present study was to investigate the relationships of genetically predicted sleep traits with POAG using a two-sample bidirectional Mendelian randomization (MR) method. Methods Summary-level data collected from publicly available genome-wide association studies (GWAS) of European decent were applied for the bidirectional MR analysis. After quality control steps, independent single-nucleotide polymorphisms for eight sleep behaviors and POAG were selected as the genetic instruments. The inverse-variance weighted (IVW) approach was adopted as the primary method, which was complemented by a series of sensitivity analyses to assess the robustness of the results by estimating heterogeneity and pleiotropy. Multivariable MR (MVMR) was used to assess the direct effect of sleep traits on POAG, after adjusting for several confounding factors. Results Our investigation revealed a positive correlation between genetically predicted ease of getting up in the morning and sleep duration and POAG using the IVW method (odds ratio (OR)=1.78, 95% confidence interval (CI):1.29–2.46, P = 4.33× 10 −4 ; OR = 1.66, 95% CI:1.18–2.34, P = 3.38×10 −3 , respectively). Other supplementary MR methods also confirmed similar results. Moreover, the MVMR results also revealed that the adverse effects of these two sleep traits on POAG persisted after adjusting for body mass index, smoking, drinking, and education (all P < 0.05). Conversely, the relationships between genetic liability of POAG and different sleep behaviors were not statistically significant in the reverse-direction MR estimate (all P > 0.05). Conclusion Our study demonstrated that genetic prediction of getting up easily in the morning or sleep duration were associated with a higher risk of POAG, but not vice versa, in a European population. Further validation and clinical interventions are required to offer potential strategies to prevent and manage POAG.

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Section: Discussionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Investigating the Causal Relationship Between Sleep Behaviors and Primary Open-Angle Glaucoma: A Bidirectional Two-Sample Mendelian Randomization Study

Zhang,

Chen,

Zhu

et al. 2024

NSS

View full text Add to dashboard Cite

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“…According to previous studies, cancer patients have a higher risk of stroke compared to the general population, and cancer-related stroke is a major factor in lowering the survival rate of cancer patients [ 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 ]. Some systematic reviews have also described that the relative risk of stroke is higher in cancer survivors than in the cancer-free population over an unspecified follow-up period [ 29 , 30 ].…”

Section: Discussionmentioning

confidence: 99%

“…Additionally, previous studies performed a validation analysis on the cohort profile and showed a similar prevalence of major diseases every year [ 17 , 18 ]. Moreover, this cohort dataset has been widely used to elucidate the association between two certain diseases [ 19 , 20 , 21 , 22 ]. This indicates that the cohort dataset is highly reliable.…”

Section: Methodsmentioning

confidence: 99%

The Risk of Ischemic and Hemorrhagic Stroke in Head and Neck Cancer: A Longitudinal Cohort Study

Kim

2023

Cancers

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Several studies have shown that head and neck cancer is associated with an increased risk of stroke incidence. However, investigations of the association between the two diseases based on a matching cohort dataset are still limited. Therefore, we identified the incidence and risk of stroke in patients with head and neck cancer using a nationwide population-based cohort dataset. A total of 5248 individuals without cancer and 1312 with cancer were enrolled from the dataset after a 4:1 propensity score matching. We found that the incidence of overall stroke (per 1000 person years) was 19.29 for those with head and neck cancer, consisting of 17.32 as ischemic type and 2.74 as hemorrhagic type. Additionally, patients with head and neck cancer had a significantly increased risk of overall and ischemic stroke development but not hemorrhagic stroke. Moreover, the risk of stroke development over time was relatively high within the first year after the diagnosis of head and neck cancer. However, in the subgroup analysis, oral cavity cancer survivors showed an increased risk of both ischemic and hemorrhagic strokes. Therefore, our nationwide population-based cohort study suggests that clinicians should closely monitor patients with head and neck cancers for the early detection of stroke.

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“…8) Recently, the applicability of the STOP-Bang score has expanded, not only to assess OSA risk but also to gauge the severity of OSA; however, further research is required. Although some previous studies have explored the association between glaucoma and OSA, 9,10) only a few have examined the risk of OSA in glaucoma patients using the STOP-Bang score. 11,12) In particular, only a few studies have investigated the association between OSA risk and severity using the STOP-Bang score and the risk of glaucoma or increased IOP using Korean national data.…”

Section: Introductionmentioning

confidence: 99%

Association between Obstructive Sleep Apnea and Glaucoma

Zoh,

Yun

2024

Korean J Fam Med

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Background: Obstructive sleep apnea (OSA) and glaucoma are major global health challenges. However, the probable association between them is yet to be fully elucidated. This study aimed to investigate the association between OSA and glaucoma. Methods: Data for this cross-sectional study were obtained from the eighth Korea National Health and Nutrition Examination Survey (2019)(2020)(2021). From among 9,495 individuals who completed the STOP-Bang questionnaire on OSA (for those aged ≥40 years) and provided their glaucoma prevalence/intraocular pressure (IOP) data, 8,741 were selected for glaucoma prevalence analysis. A total of 754 individuals aged 80 years or older or those with missing confounding variable data were excluded. A separate subgroup of 8,627 individuals was selected for IOP analysis after excluding 114 individuals who use glaucoma eye drops. The study employed linear and logistic regression analyses with Stata/MP ver. 17.0 (Stata Corp., USA) to understand the relationship between the risk of OSA assessed using the STOP-Bang score and key glaucoma indicators, adjusted for confounders. Statistical significance was set at a P-value <0.05. Results: The average±standard deviation [SD] age of the glaucoma prevalence study group was 56.59±10.48, and 42.98% were male. Notably, every unit increase in the STOP-Bang score was associated with a greater risk of glaucoma (odds ratio, 1.097; P=0.044). In the IOP subgroup, the average±SD age was 56.49±10.45 years, with 42.88% being males. The linear regression showed a statistically significant relationship between the STOP-Bang score and IOP after adjusting for confounding variables (β=0.171, P<0.001). Conclusion: Our findings revealed a significant positive association between OSA risk, as measured using the STOP-Bang score, and both the likelihood of glaucoma and high IOP.

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Glaucoma Is Associated with the Risk of Obstructive Sleep Apnea: A Population-Based Nationwide Cohort Study

Cited by 5 publications

References 41 publications

Investigating the Causal Relationship Between Sleep Behaviors and Primary Open-Angle Glaucoma: A Bidirectional Two-Sample Mendelian Randomization Study

Investigating the Causal Relationship Between Sleep Behaviors and Primary Open-Angle Glaucoma: A Bidirectional Two-Sample Mendelian Randomization Study

The Risk of Ischemic and Hemorrhagic Stroke in Head and Neck Cancer: A Longitudinal Cohort Study

Association between Obstructive Sleep Apnea and Glaucoma

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