Research Article

Diabetes and red blood parameters

Md. Sadikuj Jaman*, Md. Sohanur Rahman, Rubaiya Rafique Swarna, Joyanto Mahato, Md. Milon Miah and Mosa. Ayshasiddeka

Published: 01/08/2018 | Volume 2 - Issue 1 | Pages: 001-009

Abstract

Type 2 diabetes is a common disease in these days and day by day it is arising. The main focus of the study was to investigate association of packed cell volume (PCV), Mean Corpuscular Volume (MPV), Mean Corpuscular Hemoglobin Concentration (MCHC), Red Cell Distribution Width (RDW) with glycemic marker HbA1c. So that PCV, MPV, MCHC, RDW could be used as a predictor of glucoregulation in type 2 diabetes instead of HbA1c value. This study included 87 DMT2 patients, which divided into two groups, A (n=41, presence in diabetics≤6.5-6.9%) and B (n=46, target in diabetes≥7.0%), according to HbA1c values. Spearsman correlation co-efficients were calculated to evaluate the relationship between RBC count, MCHC, RDW with random blood sugar (RBS) and PCV, MCV, MCHC with HbA1c value. Binominal logistic regression analysis was performed to estimate the relationship between glycemic control, as dichotomous outcome of MCHC, RDW, PCV, and MCV as the main prognosticator. MCHC and RDW were significantly higher in the group B compared to the group A. RDW and MCHC may be applied as the auxiliary indicators of deterioration of glucoregulation.

Read Full Article HTMLDOI: 10.29328/journal.acem.1001004Cite this Article

References

  1. Schmitz A. Microalbuminuria blood pressure, metabolic control, and renal involvement: longitudinal studies in white non-insulindependent diabetic patients. Am J Hypertens. 1997; 10; 189-197. Ref.: https://goo.gl/GqneQj
  2. Ravid M, Brosh D, Ravid-Safran D, Levy Z, Rachmani R. Main risk factors for nephropathy in type 2 diabetes mellitus are plasma cholesterol levels, mean blood pressure, and hyperglycemia. Arch Intern Med. 1998; 158: 998-1004. Ref.: https://goo.gl/k26UT8
  3. Chang YH, Lei CC, Lin KC, Chang DM, Hsieh CH, et al. Serum uric acid level as an indicator for CKD regression and progression in patients with type 2 diabetes mellitus-a 4.6-year cohort study. Diabetes Metab Res Rev. 2016; 32: 557-564. Ref.: https://goo.gl/GtuDBE
  4. Roy MS, Klein R, Janal MN. Retinal venular diameter as an early indicator of progression to proliferative diabetic retinopathy with and without high-risk characteristics in African Americans with type 1 diabetes mellitus. Arch Ophthalmol. 2011; 129: 8-15. Ref.: https://goo.gl/24dvub
  5. Anderson JL, Ronnow BS, horne BD, Carlquist JF, May HT, et al. Usefulness of a complete blood count-derived risk score to predict incident mortality in patients with suspected cardiovascular disease. Am J Cardiol. 2007; 99: 169-174. Ref.: https://goo.gl/DKomPT
  6. Ani C, Ovbiagele B. elevated red blood cell distribution width predicts mortality in persons with known stroke. J Neurol Sci. 2009; 277: 103-108. Ref.: https://goo.gl/2qQD38
  7. Cavusoglu e, Chopra V, Gupta A, Battala V R, Poludasu S, et al. Relation between red blood cell distribution width (RDW) and all-cause mortality at two years in an unselected population referred for coronary angiography. Int J Cardiol. 2009; 28: 141-146. Ref.: https://goo.gl/vXBgJM
  8. Felker GM, Allen LA, Pocock SJ, Shaw LK, McMurray JJ, et al. Red cell distribution width as a novel prognostic marker in heart failure: data from the ChARM Program and the Duke Databank. J Am Coll Cardiol. 2007; 50: 40-47. Ref.: https://goo.gl/J1Prsp
  9. Patel KV, Ferrucci L, Ershler WB, Longo DL, Guralnik JM. Red blood cell distribution width and the risk of death in middle-aged and older adults. Arch Intern Med. 2009; 169: 515-523. Ref.: https://goo.gl/LTcSmn
  10. Perlstein TS, Weuve J, Pfeffer MA, Beckman JA. Red blood cell distribution width and mortality risk in a community-based prospective cohort. Arch Intern Med. 2009; 169: 588-594. Ref.: https://goo.gl/p62Hg4
  11. Tonelli M, Sacks F, Arnold M, Moye L, Davis B, et al. Relation between red blood cell distribution width and cardiovascular event rate in people with coronary disease. Circulation. 2008; 117: 1630-168. Ref.: https://goo.gl/KkSK7i
  12. Hampole CV, Mehrotra AK, Thenappan T, Gomberg-Maitland M, Shah SJ. Usefulness of red cell distribution width as a prognostic marker in pulmonary hypertension. Am J Cardiol. 2009; 104: 868-872. Ref.: https://goo.gl/YzeXAh
  13. Rhodes CJ, Wharton J, Howard LS, Gibbs JS, Wilkins MR. Red cell distribution width outperforms other potential circulating biomarkers in predicting survival in idiopathic pulmonary arterial hypertension. Heart. 2011; 97: 1054-1060. Ref.: https://goo.gl/pR7AAn
  14. Kim HM, Kim BS, Cho YK, Kim BI, Sohn CI, et al. Elevated red cell distribution width is associated with advanced fibrosis in NAFLD. Clin Mol Hepatol. 2013; 19: 258-265. Ref.: https://goo.gl/bN8YoA
  15. Vaya A, Rivera L, de la Espriella R, Sanchez F, Suescun M, et al. Red blood cell distribution width and erythrocyte deformability in patients with acute myocardial infarction. Clin Hemorheol Microcirc. 2015; 59: 107-114. Ref.: https://goo.gl/kX9KB4
  16. Veeranna V, Zalawadiya SK, Panaich S, Patel KV, Afonso L. Comparative analysis of red cell distribution width and high sensitivity C-reactive protein for coronary heart disease mortality prediction in multi-ethnic population: findings from the 1999-2004 NHANES. Int J Cardiol. 2013; 168: 5156-5161. Ref.: https://goo.gl/Da4Eni
  17. Tonelli M, Sacks F, Arnold M, Moye L, Davis B, et al. Relation Between Red Blood Cell Distribution Width and Cardiovascular Event Rate in People With Coronary Disease. Circulation. 2008; 117: 163-168. Ref.: https://goo.gl/yFX8Po
  18. Afsar B, Saglam M, Yuceturk C, Agca E. The relationship between red cell distribution width with erythropoietin resistance in iron replete hemodialysis patients. Eur J Intern Med. 2013; 24: 25-29. Ref.: https://goo.gl/4PEdNC
  19. Soderholm M, Borne Y, Hedblad B, Persson M, Engstrom G. Red cell distribution width in relation to incidence of stroke and carotid atherosclerosis: a population-based cohort study. PLoS One. 2015; 10. Ref.: https://goo.gl/VQXsud
  20. Wonnerth A, Krychtiuk KA, Mayer FJ, Minar E, Wojta J, et al. Red cell distribution width and mortality in carotid atherosclerosis. Eur J Clin Invest. 2016; 46: 198-204. Ref.: https://goo.gl/hVqR9r
  21. Weuve J, M de Leon CF, Bennett DA, Dong X, Evans DA. The red cell distribution width and anemia in association with prevalent dementia. Alzheimer Dis Assoc Disord. 2014; 28: 99-105. Ref.: https://goo.gl/uG9tF6
  22. Yesil A, Senateş E, Bayoğlu IV, Erdem ED, Demirtunç R, et al. Red cell distribution width: a novel marker of activity in inflammatory bowel disease. Gut Liver. 2011; 5: 460-467. Ref.: https://goo.gl/D48gvD
  23. Yoon HE. Kim SJ, Hwang H , Chung S, Yang CW, et al. Progressive rise in red blood cell distribution width predicts mortality and cardiovascular events in end-stage renal disease patients. PLoS One. 2015; 10. Ref.: https://goo.gl/djpUFJ
  24. Felker GM, Allen LA, Pocock SJ, Shaw LK, McMurray JJ, et al. Red cell distribution width as a novel prognostic marker in heart failure: data from the CHARM Program and the Duke Databank. J Am Coll Cardiol. 2007; 50: 40-47.Ref.: https://goo.gl/hf3oFN
  25. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2012; 35: 64-71.
  26. Khaw KT, Wareham N. Glycated hemoglobin as a marker of cardiovascular risk. Curr Opin Lipidol. 2006; 17: 637-643. Ref.: https://goo.gl/bGQTSf
  27. Selvin E, Steffes MW, Zhu H, Matsushita K, Wagenknecht L, et al. Glycated hemoglobin, diabetes, and cardiovascular risk in nondiabetic adults. N Engl J Med. 2010; 362: 800-811. Ref.: https://goo.gl/KkLU4j
  28. Debard A, Charmion S, Ben Ameur S, Gaultier JB, Cathebras P. Inappropriate low glycated hemoglobin and hemolysis (in French). Rev Med Interne. 2009; 30: 525-527. Ref.: https://goo.gl/KYzr41
  29. Oda E. Bilirubin is negatively associated with A1C independently of fasting plasma glucose, age, obesity, inflammation, hemoglobin, and iron in apparently healthy Japanese men and women. Diabetes Care. 2010; 33: 131. Ref.: https://goo.gl/Z43kWD
  30. Montagnana M, Cervellin G, Meschi T, Lippi G. The role of red blood cell distribution width in cardiovascular and thrombotic disorders. Clin Chem Lab Med. 2011; 50: 635-641. Ref.: https://goo.gl/u1YAYN
  31. Imani F, Horii Y, Suthanthiran M, Skolnik EY, Makita Z, et al. Advanced glycosylation end product-specific receptors on human and rat T-lymphocytes mediate synthesis of interferon γ: role in tissue remodelling. J Exp Med. 1993; 178: 2165-2172. Ref.: https://goo.gl/PtH7sw
  32. Hekimsoy Z, Payzinb B, Ornek T, Kandogan G. Mean platelet volume in type 2 diabetic patients. J Diabetes Complications. 2004; 18: 173-176. Ref.: https://goo.gl/VEhqKn
  33. Bae SH, Lee J, Roh KH, Kim J. Platelet activation in patients with diabetic retinopathy. Korean J Ophthalmol. 2003; 17: 140-144. Ref.: https://goo.gl/Evwq6d
  34. Antithrombotic Trialists’ Collaboration. Collaborative meta-analysis of randomised trials of antiplatelet therapy for prevention of death, myocardial infarction, and stroke in high risk patients. BMJ. 2002; 324: 71-86. Ref.: https://goo.gl/jBbMP4
  35. Tong PC, Lee KF, So WY, Chan WB, Lo MK, et al. White blood cell count is associated with macro and microvascular complications in Chinese patients with type 2 diabetes. Diabetes Care. 2004; 27: 216-222. Ref.: https://goo.gl/GCrNjW
  36. Jaman S, Sawgat R, et al. Association of Mean Platelet Volume and Platelet Distribution Width with Hba1c. J Endocrinol Diab. 2017; 4: 1-6.
  37. Evans TC, Jehle D. The red blood cell distribution width. J Emerg Med. 1991; 9: 71-74. Ref.: https://goo.gl/tPUvbQ
  38. Dabbah S, Hammerman H, Markiewicz W, Aronson D. Relation between red cell distribution width and clinical outcomes after acute myocardial infarction. Am J Cardiol. 2010; 105: 312-317. Ref.: https://goo.gl/81cfec
  39.  Rhodes CJ, Wharton J, Howard LS, Gibbs JS, Wilkins MR. Red cell distribution width outperforms other potentials circulating biomarkers in predicting survival in idiopathic pulmonary arterial hypertension. Heart. 2011; 97: 1054-1060. Ref.: https://goo.gl/38XVV6
  40.  Ye Z, Smith C, Kullo IJ. Usefulness of red cell distribution width to predict mortality in patients with peripheral arterial disease. Am J Cardiol. 2011; 107: 1241-1245. Ref.: https://goo.gl/QZk4jW