scholarly journals Association between Serum Uric Acid Levels and Sleep Variables: Results from the National Health and Nutrition Survey 2005–2008

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
R. Constance Wiener ◽  
Anoop Shankar

Sleep disordered breathing as well as high serum uric acid levels are independent risk factors for cardiovascular disease. However, studies evaluating the relationship between sleep-disordered breathing and hyperuricemia are limited. We examined the 2005–2008 National Health and Nutrition Examination survey's sleep variables and high serum uric acid among 6491 participants aged≥20years. The sleep variables included sleep duration, snoring, snorting, and daytime sleepiness. The main outcome was high serum uric acid level, defined as levels of serum uric acid>6.8 mg/dL in males and>6.0 mg/dL in females. We found that snoring more than 5 nights per week, daytime sleepiness, and an additive composite score of sleep variables were associated with high serum uric acid in the age- , sex-adjusted model and in a multivariable model adjusting for demographic and lifestyle/behavioral risk factors. The association was attenuated with the addition of variables related to clinical outcomes such as depression, diabetes, hypertension, and high-cholesterol levels. Our results indicate a positive relationship between sleep variables, including the presence of snoring, snorting, and daytime sleepiness, and high serum uric acid levels.

2021 ◽  
Vol 34 (1) ◽  
pp. 26-32
Author(s):  
Md Amzad Hossain Sardar ◽  
Md Khalilur Rahman ◽  
Md Mahidul Alam ◽  
Md Aminul Hasan ◽  
Ashoke Sarker ◽  
...  

Background: Among non-communicable diseases, acute myocardial infarction (AMI) is a common killer of people in the world. The management of AMI patients is one of the major challenges in the field of cardiology. Uric acid has several effects of potential interest in cardiovascular disease. There are some markers indicating an unfavorable prognosis in AMI patients. Uric acid is one of the markers that have been evaluated in research. Objective: The aim of this study was to assess the association between serum uric acid level and in-hospital outcomes of AMI patients. Patients and methods: This longitudinal descriptive study was conducted over 115 AMI patients in the Cardiology Unit of Rajshahi Medical College Hospital during the period of January 2015 to December 2016. Baseline characteristics such as age, sex, BMI, BP, RBS, risk factors (hypertension, DM, smoking, family history of IHD, dyslipidemia), and outcomes of AMI patients (acute LVF, arrhythmia, conduction block, cardiogenic shock, death) were recorded. We measured the serum uric acid of this patient at admission.  Results: The mean age of patients was 52.83±10.71 years. Out of 115 patients, 83.5% were male, and 16.5% were female. Among the risk factors, 65.2% of patients had HTN, 20.9% DM, 64.3% smoking, 16.5% family history of IHD, and 47.8% dyslipidemia. Out of 115, 35.7% of patients demonstrated high serum uric acid. In outcomes of AMI patients, acute LVF 24.4% (p=0.031) and death 12.2% (p=0.041) were significantly higher in patients with high serum uric acid levels. Conclusion: Significant association was found between high serum uric acid level and in-hospital outcomes of AMI patients. So, estimation of serum uric acid may offer an inexpensive, quick, and non-invasive method for identifying such high-risk patients. TAJ 2021; 34: No-1: 26-32


2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Charumathi Sabanayagam ◽  
Ruoxin Zhang ◽  
Anoop Shankar

Previous studies have documented an association between markers of sleep-disordered breathing (SDB) and metabolic syndrome. However, it is not clear if there are gender or ethnic differences in this association. We examined 6,122 participants aged ≥20 years from the National Health and Nutrition Examination Survey 2005–08. Metabolic syndrome was defined as the presence of ≥3 of the following components: (1) abdominal obesity, (2) elevated blood triglycerides, (3) low HDL cholesterol, (4) high BP, and (5) hyperglycemia. SDB severity was defined based on an additive summary score including sleep duration, snoring, snorting, and daytime sleepiness. We found that short sleep duration, snoring, snorting, daytime sleepiness and the summary SDB score were significantly associated with metabolic syndrome independent of potential confounders. Compared to those without any sleep disturbance, the multivariable odds ratio (OR) (95% confidence interval [CI]) of metabolic syndrome among those with three or more sleep disturbances was 3.92 (2.98–5.16). In subgroup analyses, this association was consistently present among men and women and all race-ethnic groups. In summary, SDB was independently associated with metabolic syndrome in a nationally representative sample of US adults.


Author(s):  
V. Balendu Krishnan ◽  
Prashanth A. S.

Gouty Arthritis has now become a common disease condition which we deal in Ayurveda, but a proper treatment protocol is not followed in many cases. The case reported here was as a result of improper diet and lack of exercise which resulted in an increase serum uric acid level and joint inflammation. The treatment was given at IPD level diagnosing it as Gambhira Vatarakta with valid Chikitsa Siddhanta. This case report provides us a guidelines that even a chronic gouty arthritis with a very high serum uric acid can be treated as per Vataraktha Chikitsa Siddhanta in Ayurveda.


2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Charumathi Sabanayagam ◽  
Srinivas Teppala ◽  
Anoop Shankar

We examined gender and ethnic differences in the association between sleep disordered breathing (SDB) and diabetes among 6,522 participants aged ≥20 years from the National Health and Nutrition Examination Survey 2005–08. SDB severity was defined based on an additive summary score including sleep duration, snoring, snorting, and daytime sleepiness. We found that the summary SDB score was significantly associated with diabetes after adjusting for potential confounders in the whole population. Compared to those without any sleep disturbance, the multivariable odds ratio (OR) (95% confidence interval (CI)) of diabetes among those with ≥3 sleep disturbances was 2.04 (1.46–2.87). In sex-specific analyses, this association was significant only in women (OR (95% CI) = 3.68 (2.01–6.72)) but not in men (1.10 (0.59–2.04)),P-interaction=0.01. However, there were no ethnic differences in this association,P-interaction=0.7. In a nationally representative sample of US adults, SDB was independently associated with diabetes only in women, but not in men.


2020 ◽  
Author(s):  
Guanqun Chao ◽  
Yue Zhu ◽  
Lizheng Fang

Abstract Background: To clarify the risk factors associated with NAFLD and further clarify the correlation between uric acid level and NAFLD by analyzing the correlation between NAFLD and different metabolic factors.Methods: Datas were obtained from subjects who underwent health examination in the Health promotion centre of Sir Run Run Shaw hospital of Zhejiang University from January 2016 to December 2017.The diagnosis of NAFLD was according to the clinical diagnosis of the Guidelines.Statistical analyses were performed using R software.Results: 79492 subjects were analyzed. 56680(71.3%) participants did not have NAFLD, 22812(28.7%) participants had NAFLD. Male, age, BMI, high blood pressure, central obesity, high glycosylated hemoglobin, high serum uric acid, high triglyceride, high total cholesterol, high low density lipoprotein cholesterol (LDL-C), abnormal liver function were risk factors of NAFLD, however, low high-density lipoprotein cholesterol (HDL-C) level was another risk factor of NAFLD.OR value suggested serum uric acid was a robust risk factor for NAFLD in all subgroups.In male group, AUC was 0.656 (95%CI: 0.651-0.661), the optimal diagnostic threshold was 395.5 mol/L, the sensitivity was 61.9%, the specificity was 61.1%, and the yoden index was 0.23. In female group, AUC was 0.716 (95%CI: 0.708-0.724), the optimal diagnostic threshold was 294.5 mol/L, sensitivity was 67.7%, specificity was 64.5%, and the Jordan index was 0.32.Conclusions: Our study suggested that there was a close correlation between serum uric acid level and NAFLD.Uric acid levels was a key risk factor for NAFLD.The diagnosis of fatty liver in patients can be preliminarily determined by detecting uric acid level.Contributions to the literature:1. The purpose of this study was to clarify the risk factors associated with NAFLD and further clarify the correlation between uric acid level and NAFLD by analyzing the correlation between NAFLD and different metabolic factors in the physical examination population.2. There was a close correlation between serum uric acid level and NAFLD.Uric acid levels was a key risk factor for NAFLD.3. The diagnosis of fatty liver in patients can be preliminarily determined by detecting uric acid level.


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