Statistical Study of the Relationship Between Hyperuricemia, Dyslipidemia and Type 2 Diabetes in Rural Population of Tizi-Ouzou, Algeria

Aim : The main objective of our work was to assess the relationship between type 2 diabetes, hyperuricemia and dyslipidemia in the population of Tizi-Ouzou. By evaluating the relationship between hyperuricemia and some blood lipid parameters, we thus establish, in type 2 diabetes, the correlation between uremia and these lipid parameters. 

Subjects and methods:  The survey was carried out by means of an individual questionnaire. We excluded from our study pregnant women, patients with cancer, patients with end-stage renal disease and subjects who did not respond to the questionnaire. 

Results:  Serum uric acid level increased with age (p = 0.025). Hyperuricemia was associated with heart disease (p = 0.0007). All patients with gout presented an elevated serum uric acid (p = 0.000001). Dyslipidemia was more common in patients with elevated serum uric acid levels (p = 0.0008). Triglyceridemia was significantly associated with hyperuricemia (p = 0.025). The relationship between type 2 diabetes and glomerular filtration rate  was not significant, while the latter was decreased in patients with elevated serum uric acid levels (p = 0.0001). In, stratified analysis, age was effect modifier, the age-dependent results make us understand that resistance to insulin constitutes a significant factor of hyperuricemia. 

Conclusion: The association between hyperuricemia and dyslipidemia in type 2 diabetes emphasizes that insulin resistance acts on both lipid parameters and uricemia. A diet correcting dyslipidemia may also correct the uricemia.

Keywords

Hyperuricemia Diabetes Type 2 Dyslipidemia Lipoproteins

How to Cite

Lefsih, K. ., Dahmani, D. ., Cherrad, R. ., Lalaoui, S. ., & Amrar, S. . (2020). Statistical Study of the Relationship Between Hyperuricemia, Dyslipidemia and Type 2 Diabetes in Rural Population of Tizi-Ouzou, Algeria. The North African Journal of Food and Nutrition Research, 4(7), 268-279. https://doi.org/10.51745/najfnr.4.7.268-279

1. Nolan, J., O'Halloran, D., McKenna, T., Firth, R., & Redmond, S. (2006), The cost of treating type 2 diabetes (CODEIRE). Irish Medical Journal, 99 (10), 307-310

2. Hu, F. B., Liu, Y., & Willett, W. C. (2011). Preventing chronic diseases by promoting healthy diet and lifestyle: Public policy implications for China. Obesity Reviews, 12 (7), 552-559. https://doi.org/10.1111/j.1467-789x.2011.00863.x

3. Lamri, L., Gripiotis, E., & Ferrario, A. (2014). Diabetes in Algeria and challenges for health policy: A literature review of prevalence, cost, management and outcomes of diabetes and its complications. Globalization and Health, 10 (1), 11. https://doi.org/10.1186/1744-8603-10-11

4. Bennesser, A.H., Tazi, M.Z., Harmouche, H., Aouni, M., & Maaouni, A. (2010), La goutte: Nouvelles recommandations. Espérance Médicale, 17 (166), 119-133

5. De Oliveira, E. P., & Burini, R. C. (2012). High plasma uric acid concentration: Causes and consequences. Diabetology & Metabolic Syndrome, 4 (1). https://doi.org/10.1186/1758-5996-4-12

6. Bo, S., Cavallo-Perin, P., Gentile, L., Repetti, E., & Pagano, G. (2001). Hypouricemia and hyperuricemia in type 2 diabetes: Two different phenotypes. European Journal of Clinical Investigation, 31 (4), 318-321. https://doi.org/10.1046/j.1365-2362.2001.00812.x

7. McEwen, L. N., Karter, A. J., Waitzfelder, B. E., Crosson, J. C., Marrero, D. G., Mangione, C. M., & Herman, W. H. (2012). Predictors of mortality over 8 years in type 2 diabetic patients: Translating research into action for diabetes (TRIAD). Diabetes Care, 35 (6), 1301-1309. https://doi.org/10.2337/dc11-2281

8. Levey, A. S. (1999). A more accurate method to estimate glomerular filtration rate from serum creatinine: A new prediction equation. Annals of Internal Medicine, 130 (6), 461. https://doi.org/10.7326/0003-4819-130-6-199903160-00002

9. Schils, R.; & Krzesinski, J. M. (2016), Hyperuricémie et risque potentiel de pathologie cardiovasculiare et rénale. Revue Médicale de Liège. 71 (5), 262-268.

10. Roddy, E., & Choi, H. K. (2014). Epidemiology of gout. Rheumatic Disease Clinics of North America, 40 (2), 155-175. https://doi.org/10.1016/j.rdc.2014.01.001

Similar Articles

11-20 of 170

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)

Downloads 582

-

Views 1459

-

Country (Top 10)