scholarly journals Serum Uric Acid Is Associated with Metabolic Syndrome and Insulin Resistance among Health Personnel from Peru

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Brenda M. Galindo-Yllu ◽  
Ricardo Rojas-Humpire ◽  
Carlos J. Toro-Huamanchumo ◽  
Rosmery Gutierrez-Ajalcriña ◽  
Anderson N. Soriano

We explored the association between serum uric acid (SUA) and metabolic syndrome (MetS) and insulin resistance (IR) among health personnel from a public hospital in Peru in a cross-sectional study with data from the Plan for the Prevention and Surveillance of Communicable and Noncommunicable Diseases of Huaycán Hospital. MetS was defined according to Latin American Diabetes Association (ALAD) criteria and IR with surrogate IR markers, triglyceride-to-HDL-C ratio (TG/HDL-C), and triglyceride-to-glucose index (TyG). The association between SUA and MetS and IR was determined using Poisson regression models in a sample of 292 participants with an average age of 46.2 ± 10.6 years. The total prevalence of MetS was 38%, and the individuals with MetS presented mainly alterations in anthropometric parameters (obesity and body fat). Finally, the adjusted regression models showed that women with SUA in the highest tertile increased the prevalence of MetS (PR: 1.71, 95% CI: 1.07–2.74) compared to the lowest tertile of SUA in women, while SUA increased hypertriglyceridemia and IR (TG/HDL-C and TyG) in both sexes. We concluded that SUA is strongly associated with MetS in women, and SUA increases hypertriglyceridemia and IR in both sexes. On the contrary, more research is required regarding the female population.

Metabolism ◽  
2021 ◽  
Vol 116 ◽  
pp. 154669
Author(s):  
Brenda Galindo Yllu ◽  
Ricardo Rojas Humpire ◽  
Carlos Toro Huamanchumo ◽  
Rosmery Gutierrez Ajañlcriña ◽  
Anderson Soriano Moreno

2017 ◽  
Vol 249 ◽  
pp. 366-371 ◽  
Author(s):  
Giulia Genoni ◽  
Veronica Menegon ◽  
Gioel Gabrio Secco ◽  
Michela Sonzini ◽  
Massimiliano Martelli ◽  
...  

2019 ◽  
Vol 26 (11) ◽  
pp. 1911-1915
Author(s):  
Shameela Majeed ◽  
Brig. Rizwan Hashim

Objectives: To determine the possible correlation between raised serum uric acid and various components of metabolic syndrome (Waist circumference, serum triglyceride, plasma HDL-C). Study Design: Descriptive case control. Setting: Army Medical College laboratory, Military Hospital, Rawalpindi. Period: One year (November 2014 to October 2015). Material and Methods: Total of 100 subjects were enrolled in this study. WHO criteria were applied for identifying the patients of metabolic syndrome. Fasting plasma glucose, lipid profile and serum uric acid levels were measured by using colorimetric enzymatic method. The formula of Homeostasis Model Assessment-Insulin Resistance (HOMA-IR) was applied to calculate Insulin resistance. Collected data was analyzed by using SPSS- Window version-17 for statistical analysis. Results: Serum uric acid levels were turned out to be high in metabolic syndrome patients (cases= 6.1±1.3mg/dL) when compared with controls (having no symptoms of MetS=3.6±1.2; p<0.001). Uric acid showed a statistically significant positive association with waist circumference (WC=r-value:0.250; p-value:0.000) and serum triglyceride (TG=r-value:0.341; p-value:0.000). Negative correlation had been found between plasma high-density lipoprotein-cholesterol (HDL-C=r-value: -0.173; p-value:<0.01) with uric acid levels. Conclusion: Serum uric acid levels show a significant association with components of metabolic syndrome making it a powerful biomarker of metabolic syndrome and its various cardiometabolic complications.


2004 ◽  
Vol 34 (9) ◽  
pp. 874 ◽  
Author(s):  
Tae Woo Yoo ◽  
Ki Chul Sung ◽  
Young Choon Kim ◽  
Sang Tai Hwang ◽  
Se Yong Oh ◽  
...  

2005 ◽  
Vol 69 (8) ◽  
pp. 928-933 ◽  
Author(s):  
Tae Woo Yoo ◽  
Ki Chul Sung ◽  
Hun Sub Shin ◽  
Byung Jin Kim ◽  
Bum Soo Kim ◽  
...  

2020 ◽  
Vol 32 (1) ◽  
Author(s):  
Yasser Gaber Metwally ◽  
Heba Kamal Sedrak ◽  
Inas Fahiem Shaltout

Abstract Background The relation between metabolic syndrome (MS) and coronary artery disease (CAD) is multifactorial, and the well-known risk factors can explain only about 25% of the disease as the relation between insulin resistance (IR) on top of MS and severity of CAD still a subject of debate with conflicting data. Also, IR and glucose intolerance are included in the definition of metabolic syndrome only by some associations. So, the aim of this research was to analyze the the relation between CAD severity (measured by the modified Gensini score) and the different components of the metabolic syndrome including insulin resistance and glucose intolerance. Results Out of 70 patients enrolled, 71.4% represented impaired glucose tolerance group (IGT group; n = 50) and 28.6% represented normal glucose tolerance group (NGT group; n = 20). The following variables were significantly greater among the IGT group including BMI (30.19 ± 2.27 vs 23.62 ± 2.92; P < 0.001), waist circumference (105.09 ± 8.02 vs 92.89 ± 19.92; P < 0.001), frequency of hypertension (80% vs 50%; P = 0.012), 2 h post prandial glucose (164 ± 30 vs 110 ± 20; P < 0. 04), fasting insulin (9.2 ± 1.2 vs 5.1 ± 4.3; P = 0.003), HOMA-IR (3.03 ± 0.12% vs 1.9 ± 0.12, P < 0.001), serum uric acid (4.8 ± 1.3 vs 5.8 ± 2.6; P = 0.03), mean modified Gensini score (22.3 ± 9.2 vs 15.4 ± 6.8; P < 0.001), while the mean serum HDL was significantly higher among the NGT group (40.8 ± 10.1 vs 50.6 ± 10.2; P < 0.001). There was a positive correlation between HOMA–IR; hs-CRP; MS-related variables (including waist circumflex; BMI; serum uric acid; HDL; TG);and the modified Gensini score (for HOMA, r = 0.63; P < 0.001). Several predictors for high scores of modified Gensini were noted in multiple regression analysis; however, out of those several predictors, HOMA-IR was the strongest one (OR = 4.0, 95% CI = (2.04-7.08). Conclusion IR is an independent risk factor for CAD severity in patients with IGT and MS. In patients with IR; those with aggressive CAD (or with a positive family history of premature CAD), IGT should be managed aggressively even before any evidence of frank diabetes. IR workup should be recommended among the other standard workup for those patients, if documented, interventions targeted against IR should be considered among the other standard management.


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