Level of urikemia in patients with diabetes mellitus and anthropometric indices: clinical and biochemical correlations
Keywords:urinary acid, diabetes mellitus, anthropometric indexes.
Aim — to study correlations between the level of urinary acid (UA) in blood and anthropometric indexes for patients wih diabetes mellitus (DM) taking into account the type of disease and sex. 79 is studed patients of DM 1 (53 women and 26 men) (group 1) and 159 patients of DM 2 (89 women and 70 men) (group 2). Age of patients in a group 1 was 75 from 19 to, mean — (42.3 ± 12.1) years; in a group 2 — 81 from 34 to, mean — (60.6 ± 9.2) years. Determined anthropometric indexes: body mass index (BMI), waist circumference (WC), index waist circumference/thighs circumference (IWC/TC), index of distribution of fat (IDF), ABSI and index waist/height circumference (IWC/height). The level of UA at blood was investigated by a colorimetery method. A hyperuricemia is diagnosed at 23.5 % of patients in a general group. A hyperuricemia more often DM 2 of sex of (2 : 1) women exposed for the patients of DM. For the patients of DM regardless of type of disease and sex the level of UA in blood was associated with all investigated anthropometric indexes. The level of UA in blood for the patients of DM regardless of type of disease and sex was associated with BMI < 30 kg/м2 (r = – 0,38; Р = 0,003). For the patients of DM 1 and 2 regardless of BMI and with BMI > 30 kg/м2 variableness of level of UA was determined by not BMI, and anthropometric indexes (WC, IWC/Height, IDF, ABSI) that give information about the features of distribution of fat, i.e. expressed of abdominal type of obesity. For the patients of DM 1 of sex of men the variableness of level of UA determines BMI, sex of women — BMI and expressed of abdominal type of obesity (OT, ABSI). For the patients of DM 2 of sex of men the level of UA is associated with BMI and IWC/TC and IDF; for women — with WC, IDF and ABSI.
Zimmet P, Alberti K, Shaw J. Nature 2001; 414: 782-787. https://doi.org/10.1038/414782a.
Narayan KM, Boyle JP, Thompson TJ, et al. JAMA 2003; 290(14): 1884-1890. https://doi.org/10.1001/jama.290.14.1884.
Stein CJ, Colditz GA J Clin Endocrinol Metab 2004; 89(6): 2522-2525. https://doi.org/10.1210/jc.2004-0288.
Ogden CL, Carroll MD, Curtin LR, et al. JAMA 2006; 295(13): 1549-1555. https://doi.org/10.1001/jama.295.13.1549.
Flegal KM, Carroll MD, Kit BK, Ogden CL. JAMA 2012; 307(5): 491-497. https://doi.org/10.1001/jama.2012.39.
Finkelstein EA, Khavjou OA, Thompson H, et al. Am J Prev Med. 2012; 42(6): 563-570. https://doi.org/10.1016/j.amepre.2011.10.026.
Zhu Y, Pandya BJ, Choi HK. Arthritis Rheum 2011; 63(10): 3136-3141.
Flegal KM, Carroll MD, Ogden CL, Curtin LR. JAMA 2010; 303(3): 235-241. https://doi.org/10.1001/jama.2009.2014.
Aune D, Norat T, Vatten LJ. Eur J Nutr 2014; 53(8): 1591-1601. https://doi.org/10.1007/s00394-014-0766-0.
Juraschek SP, Miller ER, Gelber AC. Arthritis Care Res (Hoboken) 2013; 65(1): 127-132. https://doi.org/10.1002/acr.21791.
Chernjajeva AO, Karachencev JuI, Kravchun NO, Tyhonova TM. Probl Endokryn Patologii’ 2018:4: 75-84.
Global database on body mass index: BMI classification 2013, available at: http://apps.who.int/bmi/index.jsp?introPage=intro_3.html.
Krakauer NY, Krakauer JC. PLoS One 2012; 7(7): e39504.
Armitage P, Berry G. Cambridge : University Press, 1994: 620 p.
Woyesa SB, Hirigo AT, Wube TB. BMC Endocr Disord 2017; 17(1): 76. https://doi.org/10.1186/s12902-017-0226-y.