The effect of uric acid on sleep quality after acute ischemic stroke

The Association Between Essential Metal Element Mixture and Sleep Quality in Chinese Community-Dwelling Older Adults

Previous studies have related single essential metal elements (EMEs) to sleep quality among older adults, however, the association of the EME mixture with sleep quality remained poorly understood. This study aimed to investigate the relationships between single EMEs and the EME mixture and sleep quality in older adults living in Chinese communities. This study consisted of 3957 older adults aged 60 years or over. Urinary concentrations of cobalt (Co), vanadium (V), selenium (Se), molybdenum (Mo), strontium (Sr), calcium (Ca), and magnesium (Mg) were detected using inductively coupled plasma mass spectrometry. Sleep quality was evaluated using Pittsburgh Sleep Quality Index (PSQI). The associations of single EMEs and EME mixture with sleep quality were assessed using logistic regression and Bayesian kernel machine regression (BKMR) models, respectively. Adjusted single-element logistic regression models showed that Mo (OR = 0.927, 95%CI:0.867-0.990), Sr (OR = 0.927, 95%CI:0.864-0.994), and Mg (OR = 0.934, 95%CI:0.873-0.997) were negatively related to poor sleep quality. BKMR models exhibited similar results. Also, higher levels of the EME mixture in urine were inversely related to the odds of poor sleep quality after adjustment for covariates, and Mo had the largest conditional posterior inclusion probability (condPIP) value in the mixture. Mo, Sr, and Mg were negatively related to poor sleep quality, separately and as the mixture. The EME mixture in urine was associated with decreased odds of poor sleep quality in older adults, and Mo was the greatest contributor within the mixture. Additional cohort research is warranted to clarify the relationship of multiple EMEs with sleep quality.

High total bilirubin-to-uric acid ratio predicts poor sleep quality after acute ischemic stroke: a prospective nested case-control study

BACKGROUND

Sleep disorders are prevalent after stroke, resulting in high recurrence rates and mortality. But the biomarkers of sleep disorders in stroke patients remain to be elucidated. This study aimed to explore the relationship between total bilirubin-to-uric acid ratio (TUR) and sleep quality after acute ischemic stroke (AIS).

METHODS

Three hundred twenty-six AIS patients were recruited and followed up 1 month after stroke in our study. Serum total bilirubin and uric acid levels were obtained within 24 h after admission. The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate sleep quality 1 month after stroke. We conducted receiver operating characteristic (ROC) curve analysis and screened the optimal biomarker to differentiate sleep disorders after stroke. Then the TUR was stratified according to the best cut-off value (0.036) of the ROC and further analysed by binary logistic regression analysis. Additionally, the interaction was used to explore the difference in its effect on post-stroke sleep quality in different subgroups.

RESULTS

Three hundred thirty-one patients (40.2%) were considered as having poor sleep quality during the one-month follow-up. Compared to patients with good sleep, patients with poor sleep were more likely to have higher TUR (IQR), 0.05 (0.03-0.06) versus 0.03 (0.02-0.04), P < 0.001. After adjusting for confounding factors, binary regression analysis demonstrated that a high TUR (≥0.036) was independently related to post-stroke poor sleep quality (OR = 3.75, 95% CI = 2.02-6.96, P < 0.001).

CONCLUSIONS

High TUR is associated with an increased risk of poor sleep quality in AIS patients, especially in females, diabetics, and patients with hyperlipidaemia.

Sleep quality after stroke: A systematic review and meta-analysis

BACKGROUND

Sleep-related problems are debilitating and long-lasting conditions in individuals with stroke. We aimed to estimate the prevalence of poor sleep quality after stroke by conducting a systematic review and meta-analysis.

METHODS

Five databases (PubMed, Embase, Web of Science, Scopus, and CINHAL) were searched for literature published before November 2022. Studies recruiting participants with stroke, using a validated scale to measure sleep quality and in English were included. We used the Agency for Healthcare Research and Quality Scale and Newcastle-Ottawa Scale to assess the quality of eligible studies. Pooled prevalence and subgroup analyses were performed to understand the variation in sleep quality among studies. We followed the PRISMA checklist to report the study.

RESULTS

Thirteen studies were included for analysis (n = 3886). The pooled prevalence of poor sleep quality was 53% (95% CI 41-65%). Studies using PSQI with a cutoff point of 7 had a prevalence of 49% (95% CI 26-71%), whereas those with a cutoff point of 5 had a higher prevalence of 66% (95% CI 63-69%) (P = .13). Geographical location could explain the prevalence variation between studies. The majority of included studies had a medium level quality of evidence (10/13).

CONCLUSION

Poor sleep quality appears to be common in patients with stroke. Considering its negative impact on health, effective measures should be taken to improve their quality of sleep. Longitudinal studies should be conducted to examine the contributing factors and investigate the mechanisms that lead to poor sleep quality.

Association of sleep quality and sleep duration with serum uric acid levels in adults

OBJECTIVE

To date, the association between sleep duration or sleep quality and hyperuricemia has remained unclear. In addition, sleep duration and quality were not considered concomitantly in previous studies. Thus, this study was aimed toward an examination of the association of sleep duration and quality with uric acid level in a Taiwanese population.

METHODS

A total of 4,555 patients aged ≥18 years were enrolled in this study. The sleep duration was classified into three groups: short (<7 h), normal (7-9 h), and long (≥9 h). The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate sleep quality, and poor sleep quality was defined as a global PSQI score of >5.

RESULTS

Poor sleepers were younger and had lower body mass index, blood pressure, uric acid, blood sugar, cholesterol, creatinine level, shorter sleep duration, and engaged in less exercise but had a higher white blood cell count and prevalence of smoking as compared to good sleepers. There were also differences in body mass index, blood pressure, uric acid, blood sugar, lipid profiles, and sleep quality among subjects with different sleep durations. After adjusting for other variables, poor sleep quality was associated with lower uric acid levels. In addition, short sleep duration was positively associated with higher uric acid levels.

CONCLUSIONS

Poor sleep quality was related to lower uric acid levels, whereas short sleep duration was associated with higher uric acid levels.