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A STUDY ON RBC MORPHOLOGY AMONG SUBJECTS WITH VARIOUS GRADES OF DIABETIC FOOT ULCERS

    https://doi.org/10.4015/S101623722250003XCited by:0 (Source: Crossref)

    Diabetes causes higher levels of blood glucose and often leads to complications like foot ulcers. Hemoglobin present within the red blood cells (RBCs) combines with blood glucose to form glycated hemoglobin (HbA1c) and its higher levels lead to serious life-threatening conditions. The aim of this study was to investigate the shape and texture features of RBCs among various grades of diabetic foot ulcers (DFUs). The study population (n=41, age: 52.61±8.33 years) was grouped based on Wagner classification. Blood samples (5mL) were collected to determine the blood glucose and lipid profiles. A gray-level co-occurrence matrix (GLCM) was applied to obtain the textural information from the microscopic blood smear images. The Pearson test exhibited a negative correlation for HDL (r=0.69, p<0.01) against HbA1c. A statistically significant correlation (p<0.01) was observed for area, perimeter, equiv-diameter, convex area, major AL and minor AL against HbA1c. The HDL and RBC morphological features (area, perimeter, equiv-diameter, convex area, major AL and minor AL) exhibited statistically significant differences (p<0.01) between the control and grade-2 groups. The texture features namely contrast (F=3.4, p<0.05) and homogeneity (F=3.7, p<0.05) exhibited statistically significant differences between the grade-2 and grade-0 subjects, depicting larger texture variations among the DFU subjects. The results affirmed that the features extracted from RBCs differ among various grades of DFUs.

    References

    • 1. American Diabetes Association, Diagnosis and classification of diabetes mellitus, Diabetes Care 37:S81–S90, 2014. Google Scholar
    • 2. Roglic G et al., The burden of mortality attributable to diabetes, Diabetes Care 28 :2130–2135, 2005. Crossref, Web of ScienceGoogle Scholar
    • 3. Reiber GE , Epidemiology of Foot Ulcers and Amputations in the Diabetic Foot, in Bowker JHPfeifer MA (eds.), Levin and O’Neal’s The Diabetic Foot, 6th edn., Mosby/Elsevier, St. Louis, MO, pp. 13–32, 2001. Google Scholar
    • 4. Reiber GE, Boyko EJ, Smith DG , Lower extremity foot ulcers and amputation in diabetes, in Harris MIet al. (eds.), Diabetes in America, 2nd edn., National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, pp. 409–428, 1995. Google Scholar
    • 5. Ngugi MP, Njagi JM, Kibiti CM, Ngeranwa JJN, Njagi ENM , Diagnosis of diabetes mellitus, Int J Diabetes Res 1 :24–27, 2012. CrossrefGoogle Scholar
    • 6. Borch-Johnsen K, Lauritzen T, Glümer C, Sandbæk A , Screening for type 2 diabetes — should it be now?, Diabet Med 20 :175–181, 2003. Crossref, Web of ScienceGoogle Scholar
    • 7. Green JB et al., Effect of sitagliptin on cardiovascular outcomes in type 2 diabetes, N Engl J Med 373 :232–242, 2015. Crossref, Web of ScienceGoogle Scholar
    • 8. Mohan V, Vijayachandrika V, Gokulakrishnan K, Anjana RM, Ganesan A, Weber MB, Narayan KMV , A1C cut points to define various glucose intolerance groups in Asian Indians, Diabetes Care 33 :515–519, 2010. Crossref, Web of ScienceGoogle Scholar
    • 9. Kashiwagi A et al., International clinical harmonization of glycated hemoglobin in Japan: From Japan Diabetes Society to National Glycohemoglobin Standardization Program values, J Diabetes Investig 3 :39–40, 2012. Crossref, Web of ScienceGoogle Scholar
    • 10. Pozzilli P, David Leslie R, Chan J, De Fronzo R, Monnier L, Raz I, Del Prato S , The A1C and ABCD of glycaemia management in type 2 diabetes: A physician’s personalized approach, Diabetes Metab Res Rev 26 :239–244, 2010. Crossref, Web of ScienceGoogle Scholar
    • 11. Tahara Y, Shima K , Kinetics of HbA1c, glycated albumin, and fructosamine and analysis of their weight functions against preceding plasma glucose level, Diabetes Care 18 :440–447, 1996. Crossref, Web of ScienceGoogle Scholar
    • 12. Levin ME , Preventing amputation in the patient with diabetes, Diabetes Care 18 :1383–1394, 1995. Crossref, Web of ScienceGoogle Scholar
    • 13. Li X et al., Incidence, risk factors for amputation among patients with diabetic foot ulcer in a Chinese tertiary hospital, Diabetes Res Clin Pract 93 :26–30, 2011. Crossref, Web of ScienceGoogle Scholar
    • 14. Bloomgarden ZT , American Diabetes Association 60th Scientific Sessions, 2000: The diabetic foot, Diabetes Care 24 :946–951, 2001. Crossref, Web of ScienceGoogle Scholar
    • 15. Hasan CMM, Parial R, Islam MM, Ahmad MNU, Kasru A , Association of HbA1c, creatinine and lipid profile in patients with diabetic foot ulcer, Middle-East J Sci Res 16 :1508–1511, 2013. Google Scholar
    • 16. Saladin K , in Anatomy and Physiology: The Unity of Form and Function, 5th edn., McGraw-Hill Education, New York, pp. 94–95, 2010. Google Scholar
    • 17. Babu N, Singh M , Influence of hyperglycemia on aggregation, deformability and shape parameters of erythrocytes, Clin Hemorheol Microcirc 31 :273–280, 2004. Web of ScienceGoogle Scholar
    • 18. Manjunatha M, Singh M , Digital analysis of induced erythrocyte shape changes in hypercholesterolemia under in vitro conditions, Curr Sci 79 :1588–1591, 2000. Web of ScienceGoogle Scholar
    • 19. Kanakaraj P, Singh M , Influence of hypercholesterolemia on morphological and rheological characteristics of erythrocytes, Atherosclerosis 76 :209–218, 1989. Crossref, Web of ScienceGoogle Scholar
    • 20. Gordon SA, Lominadze D, Saari JT, Lentsch AB, Schuschke DA , Impaired deformability of copper-deficient neutrophils, Exp Biol Med 230 :543–548, 2005. Crossref, Web of ScienceGoogle Scholar
    • 21. Narayanan B , Influence of cholesterol on shape parameters of erythrocytes in hyperglycemic subjects, Turk J Hematol 26 :77–81, 2009. Web of ScienceGoogle Scholar
    • 22. Zubair M, Malik A, Ahmad J , Plasma adiponectin, IL-6, hsCRP, and TNF-α levels in subject with diabetic foot and their correlation with clinical variables in a North Indian tertiary care hospital, Indian J Endocrinol Metab 16 :769–776, 2012. CrossrefGoogle Scholar
    • 23. Puscas CB, Talu S, Silaghi-Dumitrescu R, Talu M, Giovanzana S, Lupascu CA , Computerised morphometric assessment of the human red blood cells treated with cisplatin, Ann Rom Soc Cell Biol 17 :105–110, 2012. Google Scholar
    • 24. Tomari R, Zakaria WNW, Jamil MMA, Nor FM, Fuad NFN , Computer aided system for red blood cell classification in blood smear image, Procedia Comput Sci 42 :206–213, 2014. CrossrefGoogle Scholar
    • 25. Basheer NM, Mohammed MH , Segmentation of breast masses in digital mammograms using adaptive median filtering and texture analysis, Int J Recent Technol Eng 2 :39–43, 2013. Google Scholar
    • 26. Feng B, Peng L , Erythrocyte morphological characteristics based on microscope images system, Int J Biomed Sci Eng 4 :22–27, 2016. CrossrefGoogle Scholar
    • 27. Abood ZM, Karam GS, Hluot RE , Classification of red blood cells disease using fuzzy logic theory, Proc 2017 Int Conf Current Research in Computer Science and Information Technology (ICCIT), pp. 31–36, 2017. CrossrefGoogle Scholar
    • 28. Palanisamy V, Mariamichael A , Diagnosis of diabetes mellitus by extraction of morphological features of red blood cells using an artificial neural network, Exp Clin Endocrinol Diabetes 124 :548–556, 2016. Crossref, Web of ScienceGoogle Scholar
    • 29. Wagner, Jr FW , The diabetic foot, Orthopedics 10 :163–172, 1987. Crossref, Web of ScienceGoogle Scholar
    • 30. Edison M, Jeeva JB, Singh M , Digital analysis of changes by Plasmodium vivax malaria in erythrocytes, Indian J Exp Biol 49 :11–15, 2011. Web of ScienceGoogle Scholar
    • 31. Stockl K, Vanderplas A, Tafesse E, Chang E , Costs of lower-extremity ulcers among patients with diabetes, Diabetes Care 27 :2129–2134, 2004. Crossref, Web of ScienceGoogle Scholar
    • 32. Whiting DR, Guariguata L, Weil C, Shaw J , IDF diabetes atlas: Global estimates of the prevalence of diabetes for 2011 and 2030, Diabetes Res Clin Pract 94 :311–321, 2011. Crossref, Web of ScienceGoogle Scholar
    • 33. Goldin A, Beckman JA, Schmidt AM, Creager MA , Advanced glycation end products: Sparking the development of diabetic vascular injury, Circulation 114 :597–605, 2006. Crossref, Web of ScienceGoogle Scholar
    • 34. Shashanka R, Palachandra A , Hemoglobin A1c in diabetic foot patients: A predictor of healing rate, IJSS J Surg 2 :34–37, 2016. Google Scholar
    • 35. Singh R, Barden A, Mori T, Beilin L , Advanced glycation end-products: A review, Diabetologia 44 :129–146, 2001. Crossref, Web of ScienceGoogle Scholar
    • 36. Obayashi K, Akamatsu H, Okano Y, Matsunaga K, Masaki H , Exogenous nitric oxide enhances the synthesis of type I collagen and heat shock protein 47 by normal human dermal fibroblasts, J Dermatol Sci 41 :121–126, 2006. Crossref, Web of ScienceGoogle Scholar
    • 37. Brownlee M , Advanced protein glycosylation in diabetes and aging, Annu Rev Med 46 :223–234, 1995. Crossref, Web of ScienceGoogle Scholar
    • 38. Shibu TS, Smitha KS, Gilsa ES, Ajith VL , Biochemical profile in diabetic foot ulcer patients: A descriptive study from Kerala, IOSR J Dent Med Sci 16 :57–59, 2017. Google Scholar
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