Red blood cell distribution width and diabetes-associated complications

Diabetes and Metabolic Syndrome: Clinical Research and Reviews

Volumn 8, Issue 1, 2014, Pages 13-17

  Magri, Caroline J ^a,b   Fava, Stephen ^a,b  

^a MATER DEI HOSPITAL   (Malta)

^b UNIVERSITY OF MALTA MEDICAL SCHOOL   (Malta)

Author keywords

Diabetes mellitus; Nephropathy; Neuropathy; Peripheral arterial disease; Red blood cell distribution width

Indexed keywords

ADULT; AGED; ARTICLE; BLOOD PRESSURE MONITORING; DIABETIC NEPHROPATHY; DIABETIC NEUROPATHY; DIABETIC RETINOPATHY; DIASTOLIC BLOOD PRESSURE; DISEASE ASSOCIATION; ERYTHROCYTE; ERYTHROCYTE SEDIMENTATION RATE; FEMALE; HUMAN; INFLAMMATION; INSULIN RESISTANCE; MAJOR CLINICAL STUDY; MALE; METABOLIC SYNDROME X; MIDDLE AGED; NON INSULIN DEPENDENT DIABETES MELLITUS; PERIPHERAL OCCLUSIVE ARTERY DISEASE; PRIORITY JOURNAL;

DIABETES MELLITUS; NEPHROPATHY; NEUROPATHY; PERIPHERAL ARTERIAL DISEASE; RED BLOOD CELL DISTRIBUTION WIDTH;

BIOLOGICAL MARKERS; BLOOD PRESSURE MONITORS; DIABETES COMPLICATIONS; DIABETIC RETINOPATHY; ERYTHROCYTE COUNT; HUMANS; INSULIN RESISTANCE; LOGISTIC MODELS; ODDS RATIO; PERIPHERAL ARTERIAL DISEASE;

EID: 84897043889     PISSN: 18714021     EISSN: 18780334     Source Type: Journal    
DOI: 10.1016/j.dsx.2013.10.012     Document Type: Article

References (32)

1. Evans TC, Jehle D. The red blood cell distribution width. J Emerg Med 1991;9(Suppl. 1):71-4.
2. 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(March 9 (5)):515-23.
3. 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(March 23 (6)):588-94.
4. Felker GM, Allen LA, Pocock SJ, Shaw LK, McMurray JJ, Pfeffer MA, 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;50:40-7. (Pubitemid 46963527)
5. Tonelli M, Sacks F, Arnold M, Moye L, Davis B, Pfeffer M, et al. Relation between red blood cell distribution width and cardiovascular event rate in people with coronary disease. Circulation 2008;117:163-8.
6. Uyarel H, Ergelen M, Cicek G, Kaya MG, Ayhan E, Turkkan C, et al. Red cell distribution width as a novel prognostic marker in patients undergoing primary angioplasty for acute myocardial infarction. Coron Artery Dis 2011;22(May (3)):138-44.
7. Azab B, Torbey E, Hatoum H, Singh J, Khoueiry G, Bachir R, et al. Usefulness of red cell distribution width in predicting all-cause long-term mortality after non-ST-elevation myocardial infarction. Cardiology 2011;119(2):72-80.
8. Fatemi O, Paranilam J, Rainow A, Kennedy K, Choi J, Cutlip D, et al. Red cell distribution width is a predictor of mortality in patients undergoing percutaneous coronary intervention. J Thromb Thrombolysis 2013;35(1):57-64.
9. Tsuboi S, Miyauchi K, Kasai T, Ogita M, Dohi T, Miyazaki T, et al. Impact of red blood cell distribution width on long-term mortality in diabetic patients after percutaneous coronary intervention. Circ J)2012;(October 17) [Epub ahead of print].
10. Malandrino N, Wu WC, Taveira TH, Whitlatch HB, Smith RJ. Association between red blood cell distribution width and macrovascular and microvascular complications in diabetes. Diabetologia 2012;55:226-35.
11. Kärvestedt L, Martensson E, Grill V, Elofsson S, von Wendt G, Hamsten A, et al. Peripheral sensory neuropathy associates with micro- or macroangiopathy: results from a population-based study of type 2 diabetic patients in Sweden. Diabetes Care 2009;32:317e22.
12. Alberti KG, Zimmet P, Shaw J, IDF Epidemiology Task Force Concensus Group. The metabolic syndrome - a new worldwide definition. Lancet 2005;366:1059e62.
13. Nasseri K, Strijers RL, Dekhuijzen LS, Buster M, Bertelsmann FW. Reproducibility of different methods for diagnosing and monitoring diabetic neuropathy. Electromyogr Clin Neurophysiol 1998;38:295e9.
14. Mythili A, Kumar KD, Subrahmanyam KA, Venkateswarlu K, Butchi RG. A Comparative study of examination scores and quantitative sensory testing in diagnosis of diabetic polyneuropathy. Int J Diabetes Dev Ctries 2010;30:43e8.
15. Young MJ, Breddy L, Veves A, Boulton AJ. The prediction of diabetic neuropathic foot ulceration using vibratory perception thresholds. Diabetes Care 1994;17:557e60.
16. Elliott J, Tesfaye S, Chaturvedi N, Gandhi RA, Stevens LK, Emery C, et al. Largefibre dysfunction in diabetic peripheral neuropathy is predicted by cardiovascular risk factors. Diabetes Care 2009;32:1896e900.
17. Apelqvist J, Bakker K, van Houtum WH, Nabuurs-Franssen MH, Schaper NC. International consensus and practical guidelines on the management and the prevention of the diabetic foot: International Working Group on the Diabetic Foot. Diabetes Metab Res Rev 2000;16(Suppl. 1):S84-92.
18. Brooks P, Dean R, Patel S, Wu B, Molyneaux L, Yue DK. TBI or not TBI: that is the question. Is it better to measure toe pressure than ankle pressure in diabetic patients? Diabet Med 2001;18:528-32. (Pubitemid 32823074)
19. Klein S, Hage JJ. Measurement, calculation, and normal range of the ankle-arm index: a bibliometric analysis and recommendation for standardization. Ann Vasc Surg 2006;20:282e92.
20. Papanas N, Symeonidis G, Mavridis G, Georgiadis GS, Papas TT, Lazarides MK, et al. Ankle-brachial index: a surrogate marker of microvascular complications in type 2 diabetes mellitus? Int Angiol 2007;26:253e7.
21. National Kidney Foundation. Calculator for Healthcare Professionals. http://www.kidney.org/professionals/kdoqi/gfr-calculator.cfm.
22. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and b cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985;28:412e19.
23. Afonso L, Zalawadiya SK, Veeranna V, Panaich SS, Niraj A, Jacob S. Relationship between red cell distribution width and microalbuminuria: a populationbased study of multiethnic representative US adults. Nephron Clin Pract 2011;119(4):c277-82.
24. Paueksakon P, Revelo MP, Ma LJ, Marcantoni C, Fogo AB. Microangiopathic injury and augmented PAI-1 in human diabetic nephropathy. Kidney Int 2002;61(June (6)):2142-8.
25. Banno S, Ito Y, Tanaka C, Hori T, Fujimoto K, Suzuki T, et al. Quantification of red blood cell fragmentation by the automated hematology analyzer XE-2100 in patients with living donor liver transplantation. Clin Lab Haematol 2005;27(October (5)):292-6.
26. Bessman JD. Red blood cell fragmentation, improved detection and identification of causes. Am J Clin Pathol 1998;90:268-73.
27. Lewko B, Stepinski J. Hyperglycemia and mechanical stress: targeting the renal podocyte. J Cell Physiol 2009;221(November (2)):288-95.
28. Gnudi L, Thomas SM, Viberti G. Mechanical forces in diabetic kidney disease: a trigger for impaired glucose metabolism. J Am Soc Nephrol 2007;18(August (8)):2226-32.
29. Sutera SP, Mehrjardi MH. Deformation and fragmentation of human red blood cells in turbulent shear flow. Biophys J 1975;15(January (1)):1-10.
30. Shin S, Ku YH, Ho JX, Kim YK, Suh JS, Singh M. Progressive impairment of erythrocyte deformability as indicator of microangiopathy in type 2 diabetes mellitus. Clin Hemorheol Microcirc 2007;36(3):253-61. (Pubitemid 46866638)
31. Patel KV, Mohanty JG, Kanapuru B, Hesdorffer C, Ershler WB, Rifkind JM. Association of the red cell distribution width with red blood cell deformability. Adv Exp Med Biol 2012;765:211-6.
32. Zalawadiya SK, Veeranna V, Panaich SS, Afonso L. Red cell distribution width and risk of peripheral artery disease: analysis of National Health and Nutrition Examination Survey 1999-2004. Vasc Med 2012;17(June (3)):155-63.