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The impact of basal insulin analogues on glucose variability in patients with type 2 diabetes undergoing renal replacement therapy for end-stage renal disease

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Abstract

Purpose

We aimed to analyze the impact of basal insulin analogues on glucose variability (GV) in patients with type 2 diabetes (DM) undergoing renal replacement therapy.

Methods

Fourteen subjects on insulin therapy for at least 6 months (detemir, n = 7 vs. glargine, n = 7) were sequentially enrolled in this prospective study. Continuous glucose monitoring system (CGMS Gold, Dex Com 7+) was applied for 5 days, over 3 consecutive sessions of hemodialysis (HD). Various glycemic profiles (coefficient of variation—CV of mean glucose) were compared between the day on (HD-on) and the day off (HD-off) dialysis. The CV of at least 3 values of HbA1c (HPLC) since replacement therapy has been applied to assay the long-term GV. Endogenous insulin and insulin resistance (HOMA using fasting glucose and C-peptide levels), fasting lipid profile, quantitative C-reactive protein (CRP) and ferritin (values adjusted for Hb) were measured in serum at inclusion.

Results

The overnight HD-off and HD-on short-term (CV CGMS) GV, overall long-term (CV of HbA1c) GV, CRP and ferritin were reduced in subjects treated with detemir (paired t test, p = 0.0001, 0.0011, 0.036, <0.001, and <0.001 between groups). All participants were insulin-resistant (HOMA-IR > 3).

Conclusions

Insulin-resistant patients with type 2 diabetes undergoing hemodialysis for end-stage renal disease on insulin detemir exhibit lower glycemic variability and pro-inflammatory profile than with insulin glargine.

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References

  1. Shaw JE, Sicree RA, Zimmet PZ (2010) Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res Clin Pract 87(1):4–14

    Article  PubMed  CAS  Google Scholar 

  2. Collins AJ, Foley RN, Chavers B et al (2012) United States renal data system 2011 annual data report: Atlas of chronic kidney disease and end-stage renal disease in the United States. Am J Kidney Dis 59((1 Suppl 1)):A7-e1–A7-420

    Google Scholar 

  3. Mehrotra R, Kalantar-Zadeh K, Adler S (2011) Assessment of glycemic control in dialysis patients with diabetes: glycosylated hemoglobin or glycated albumin? Clin J Am Soc Nephrol 6(7):1520–1522

    Article  PubMed  CAS  Google Scholar 

  4. Bonds DE, Miller ME, Bergenstal RM et al (2010) The association between symptomatic, severe hypoglycaemia and mortality in type 2 diabetes: retrospective epidemiological analysis of the ACCORD study. BMJ 340:b4909

    Article  PubMed  PubMed Central  Google Scholar 

  5. Patel A, MacMahon S, Chalmers J et al (2008) Intensive blood glucose control and vascular outcomes in patients with type 2 diabetes. N Engl J Med 358(24):2560–2572

    Article  PubMed  CAS  Google Scholar 

  6. Smith-Palmer J, Brandle M, Trevisan R et al (2014) Assessment of the association between glycemic variability and diabetes-related complications in type 1 and type 2 diabetes. Diabetes Res Clin Pract 105(3):273–284

    Article  PubMed  CAS  Google Scholar 

  7. Kazempour-Ardebili S, Lecamwasam VL, Dassanyake T et al (2009) Assessing glycemic control in maintenance hemodialysis patients with type 2 diabetes. Diabetes Care 32(7):1137–1142

    Article  PubMed  PubMed Central  Google Scholar 

  8. Riveline JP, Hadjadj S S (2009) Assessing glycemic control in maintenance hemodialysis patients with type 2 diabetes: response to Kazempour-Ardebili et al. Diabetes Care 32(12):e155–e156

    Article  PubMed  Google Scholar 

  9. Williams ME, Garg R, Wang W et al (2014) High hemoglobin A1c levels and glycemic variability increase risk of severe hypoglycemia in diabetic hemodialysis patients. Hemodial Int 18(2):423–432

    Article  PubMed  Google Scholar 

  10. Bodlaj G, Berg J, Pichler R et al (2006) Prevalence, severity and predictors of HOMA-estimated insulin resistance in diabetic and nondiabetic patients with end-stage renal disease. J Nephrol 19(5):607–612

    PubMed  CAS  Google Scholar 

  11. Giordani I, Di Flaviani A, Picconi F et al (2014) Acute hyperglycemia reduces cerebrovascular reactivity: the role of glycemic variability. J Clin Endocrinol Metab 99(8):2854–2860

    Article  PubMed  CAS  Google Scholar 

  12. Pitsillides AN, Anderson SM, Kovatchev B (2011) Hypoglycemia risk and glucose variability indices derived from routine self-monitoring of blood glucose are related to laboratory measures of insulin sensitivity and epinephrine counterregulation. Diabetes Technol Ther 13(1):11–17

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  13. American-Diabetes-Association (2004) Diagnosis and classification of diabetes mellitus. Diabetes Care 27(Suppl 1):S5–S10

    Google Scholar 

  14. Service FJ, Molnar GD, Rosevear JW et al (1970) Mean amplitude of glycemic excursions, a measure of diabetic instability. Diabetes 19(9):644–655

    Article  PubMed  CAS  Google Scholar 

  15. Jung HS, Kim HI, Kim MJ et al (2010) Analysis of hemodialysis-associated hypoglycemia in patients with type 2 diabetes using a continuous glucose monitoring system. Diabetes Technol Ther 12(10):801–807

    Article  PubMed  Google Scholar 

  16. Niswender K, Piletic M, Andersen H et al (2014) Weight change upon once-daily initiation of insulin detemir with or without dietary intervention in overweight or obese insulin-naive individuals with type 2 diabetes: results from the DIET trial. Diabetes Obes Metab 16(2):186–192

    Article  PubMed  CAS  Google Scholar 

  17. Swinnen SG, Simon AC, Holleman F et al (2011) Insulin detemir versus insulin glargine for type 2 diabetes mellitus. Cochrane Database Syst Rev 7:CD006383

    PubMed  Google Scholar 

  18. Heise T, Nosek L, Ronn BB et al (2004) Lower within-subject variability of insulin detemir in comparison to NPH insulin and insulin glargine in people with type 1 diabetes. Diabetes 53(6):1614–1620

    Article  PubMed  CAS  Google Scholar 

  19. Klein O, Lynge J, Endahl L et al (2007) Albumin-bound basal insulin analogues (insulin detemir and NN344): comparable time-action profiles but less variability than insulin glargine in type 2 diabetes. Diabetes Obes Metab 9(3):290–299

    Article  PubMed  CAS  Google Scholar 

  20. Tone A, Iseda I, Higuchi C et al (2010) Comparison of insulin detemir and insulin glargine on glycemic variability in patients with type 1 and type 2 diabetes. Exp Clin Endocrinol Diabetes 118(5):320–324

    Article  PubMed  CAS  Google Scholar 

  21. Haviv YS, Sharkia M, Safadi R (2000) Hypoglycemia in patients with renal failure. Ren Fail 22(2):219–223

    Article  PubMed  CAS  Google Scholar 

  22. Jackson MA, Holland MR, Nicholas J et al (2000) Hemodialysis-induced hypoglycemia in diabetic patients. Clin Nephrol 54(1):30–34

    PubMed  CAS  Google Scholar 

  23. Rigalleau V, Gin H (2005) Carbohydrate metabolism in uraemia. Curr Opin Clin Nutr Metab Care 8(4):463–469

    Article  PubMed  CAS  Google Scholar 

  24. Riveline JP, Teynie J, Belmouaz S et al (2009) Glycaemic control in type 2 diabetic patients on chronic haemodialysis: use of a continuous glucose monitoring system. Nephrol Dial Transplant 24(9):2866–2871

    Article  PubMed  CAS  Google Scholar 

  25. Tan MH (1986) Effect of diabetes mellitus and end-stage renal disease on HDL metabolism. Adv Exp Med Biol 201:51–59

    PubMed  CAS  Google Scholar 

  26. Cacciagiu L, Gonzalez AI, Elbert A et al (2014) Do insulin resistance conditions further impair the lipid and inflammatory profile in end-stage renal disease patients on hemodialysis? Metab Syndr Relat Disord 12(4):220–226

    Article  PubMed  CAS  Google Scholar 

  27. Zoccali C, Mallamaci F, Tripepi G (2004) Inflammatory proteins as predictors of cardiovascular disease in patients with end-stage renal disease. Nephrol Dial Transplant 19(Suppl 5):V67–V72

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

Octavian Savu was supported by grants from the project “CERO—PROFIL DE CARIERĂ: CERCETĂTOR ROMÂN” under contract number POSDRU/159/1.5/S/135760, co-financed from Sectorial Operational Program for Human Resources Development 2007–2013.

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Correspondence to Octavian Savu.

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The authors had no conflicts of interest to declare in relation to this article.

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Octavian Savu and Viviana Elian have contributed equally to this article.

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Savu, O., Elian, V., Steriade, O. et al. The impact of basal insulin analogues on glucose variability in patients with type 2 diabetes undergoing renal replacement therapy for end-stage renal disease. Int Urol Nephrol 48, 265–270 (2016). https://doi.org/10.1007/s11255-015-1175-x

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  • DOI: https://doi.org/10.1007/s11255-015-1175-x

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