Association between plasma homocysteine levels and obstructive sleep apnoea in patients with ischaemic stroke

Chen, Maogang; Wu, Bo-Na; Ye, Xinchun; Zhou, Zhiming; Yue, Xuanye; Wang, Qizhang; Wang, Wanxiang; Jiang, Yanrui; Lian, Xuegan; Chen, Zhaoyao; Xu, Gelin; Liu, Xinfeng

doi:10.1016/j.jocn.2011.01.037

Cited by 21 publications

(13 citation statements)

References 22 publications

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“…Similarly, although no significant difference was found in mean age between the patients and controls, our analysis suggested that plasma HCY levels in the younger OSA patients may increase more significantly than their controls. In addition, our analysis suggested that plasma HCY levels in the severe OSA patients might increase more significantly and the finding was consistent with the studies [24], [27].…”

Section: Discussionsupporting

confidence: 91%

The Differences in Homocysteine Level between Obstructive Sleep Apnea Patients and Controls: A Meta-Analysis

et al. 2014

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BackgroundStudies have reported inconsistent findings regarding the relationship between obstructive sleep apnea (OSA) and homocysteine (HCY) level. This study aimed to assess the difference in plasma HCY level between OSA patients and controls by conducting a meta-analysis of published studies.MethodsDatabase of PubMed, SCI, and China National Knowledge Internet (CNKI) were comprehensively searched. Eligible studies regarding plasma HCY level in OSA patients were identified by two independent reviewers. RevMan (version 5.2) and STATA (version 12.0) were employed for data synthesis.ResultsA total of 10 studies involving 432 subjects were included. Meta-analysis showed that plasma HCY levels in OSA group were 3.11 µmol/l higher than that in control group (95% confidence interval: 2.08 to 4.15, P<0.01). Subgroup analysis revealed a more significant differences between OSA patients and controls when average body mass index ≥30 (the total weighted mean difference (WMD) was 3.64), average age<50 (the total WMD was 3.96) and average apnea hypopnea index ≥35 (the total WMD was 4.54).ConclusionsIn this meta-analysis, plasma HCY levels were found to be higher in OSA patients compared to control subjects.

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Section: Discussionsupporting

confidence: 91%

The Differences in Homocysteine Level between Obstructive Sleep Apnea Patients and Controls: A Meta-Analysis

et al. 2014

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“…Moreover, low serum folate has been associated with restless leg syndrome among pregnant women [23]. Higher tHcy was linked to an increased risk of obstructive sleep apnea in some studies [24], [25] but not others [79], [80]. Despite evidence of a protective effect of vitamins C and E on sleep quality [26], [44], [81], our study did not find an independent association between these two antioxidants and the sleep measures under study.…”

Section: Discussioncontrasting

confidence: 69%

“…[1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14]). Despite this trend, and the known association between sleep and cognitive as well as affective disorders [15], [16], [17], limited epidemiological research has explored how sleep quantity and quality may be related to serum nutritional biomarkers [18], [19], [20], [21], [22], [23], [24], [25], [26].…”

Section: Introductionmentioning

confidence: 99%

Serum Nutritional Biomarkers and Their Associations with Sleep among US Adults in Recent National Surveys

et al. 2014

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BackgroundThe associations between nutritional biomarkers and measures of sleep quantity and quality remain unclear.MethodsCross-sectional data from the National Health and Nutrition Examination Surveys (NHANES) 2005–2006 were used. We selected 2,459 adults aged 20–85, with complete data on key variables. Five sleep measures were constructed as primary outcomes: (A) Sleep duration; (B) Sleep disorder; (C) Three factors obtained from factor analysis of 15 items and labeled as “Poor sleep-related daytime dysfunction” (Factor 1), “Sleepiness” (Factor 2) and “Sleep disturbance” (Factor 3). Main exposures were serum concentrations of key nutrients, namely retinol, retinyl esters, carotenoids (α-carotene, β-carotene, β-cryptoxanthin, lutein+zeaxanthin, lycopene), folate, vitamin B-12, total homocysteine (tHcy), vitamin C, 25-hydroxyvitamin D (25(OH)D) and vitamin E. Main analyses consisted of multiple linear, logistic and multinomial logit models.ResultsAmong key findings, independent inverse associations were found between serum vitamin B-12 and sleep duration, 25(OH)D and sleepiness (as well as insomnia), and between folate and sleep disturbance. Serum total carotenoids concentration was linked to higher odds of short sleep duration (i.e. 5–6 h per night) compared to normal sleep duration (7–8 h per night).ConclusionsA few of the selected serum nutritional biomarkers were associated with sleep quantity and quality. Longitudinal studies are needed to ascertain temporality and assess putative causal relationships.

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“…OSA can reduce oxygen saturation indices and induce platelet aggregation, sympathetic activation and hemodynamic change, which can induce CVD and stroke [35]. However, results of studies on the relationship between OSA and Hhcy are not consistent [16][17][18][19]36]. In our study, after adjustment for all known confounders, we found that snoring, apnea and sleep disruption were not significantly associated with Hhcy.…”

Section: Discussioncontrasting

confidence: 66%

Daytime sleepiness is associated with hyperhomocysteinemia in rural area of China: A cross-sectional study

Zhang

Chen

et al. 2016

European Journal of Internal Medicine

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Association between plasma homocysteine levels and obstructive sleep apnoea in patients with ischaemic stroke

Cited by 21 publications

References 22 publications

The Differences in Homocysteine Level between Obstructive Sleep Apnea Patients and Controls: A Meta-Analysis

The Differences in Homocysteine Level between Obstructive Sleep Apnea Patients and Controls: A Meta-Analysis

Serum Nutritional Biomarkers and Their Associations with Sleep among US Adults in Recent National Surveys

Daytime sleepiness is associated with hyperhomocysteinemia in rural area of China: A cross-sectional study

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