Skip to main content

Prognostic value of proteinuria and glomerular filtration rate on Taiwanese patients with diabetes mellitus and advanced chronic kidney disease: a single center experience

Abstract

Background

Several risk factors were associated with poor outcomes in diabetic patients with chronic kidney disease (CKD). However, few studies addressed the prognostic implications of these factors in advanced CKD. Our study aimed to provide more evidence for risk factor stratification of diabetic patients with advanced CKD.

Method

A total of 447 diabetic patients with advanced CKD, age of 18–80, who visited the nephrology out-patient clinic were enrolled. All patients were in stage 3B-5 CKD. The primary outcomes included long-term renal replacement therapy and mortality. The occurrence of cardiovascular events was also analyzed as secondary outcome. Multivariate Cox regression models were used to address each risk factor in this cohort. We also used this cohort to evaluate the validity of the modified diabetic nephropathy score.

Results

Patients with lower estimated glomerular filtration rate (eGFR) were associated with higher degree of proteinuria. In the multivariate Cox regression model, eGFR and the degree of proteinuria were both strong outcome predictors. The effects of glycosylated hemoglobin and blood pressure in this advanced CKD cohort were minimal. Elder patients with advanced CKD had a higher mortality rate, but commenced less renal replacement therapy. Applying these indicator analyses, we proposed a modified diabetic nephropathy score for outcome prediction.

Conclusions

Our analysis demonstrated the impact of eGFR and proteinuria in the advanced CKD group. Indicators in early CKD possessed a different prognostic profile in this advanced CKD cohort, therefore, necessitating a modified scoring system.

This is a preview of subscription content, access via your institution.

References

  1. Tsuchiya K, Westerterp M, Murphy AJ, Subramanian V, Ferrante AW Jr, Tall AR, et al. Expanded granulocyte/monocyte compartment in myeloid-specific triple FoxO knockout increases oxidative stress and accelerates atherosclerosis in mice. Circ Res. 2013;112(7):992–1003. doi:10.1161/circresaha.112.300749.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  2. Lin CM, Yang MC, Hwang SJ, Sung JM. Progression of stages 3b-5 chronic kidney disease—preliminary results of Taiwan national pre-ESRD disease management program in Southern Taiwan. J Formos Med Assoc. 2013;112(12):773–82. doi:10.1016/j.jfma.2013.10.021.

    CAS  Article  PubMed  Google Scholar 

  3. Chang YT, Liu CC, Tsai LM, Li CY, Sung JM. Separate and joint effects of diabetes mellitus and chronic kidney disease on the risk of acute coronary syndrome: a population-based cohort study. Medicine (Baltimore). 2014;93(28):e261. doi:10.1097/md.0000000000000261.

    CAS  Article  Google Scholar 

  4. Wen CP, Cheng TY, Tsai MK, Chang YC, Chan HT, Tsai SP, et al. All-cause mortality attributable to chronic kidney disease: a prospective cohort study based on 462,293 adults in Taiwan. Lancet. 2008;371(9631):2173–82. doi:10.1016/s0140-6736(08)60952-6.

    Article  PubMed  Google Scholar 

  5. Sheu ML, Chiang CK, Tsai KS, Ho FM, Weng TI, Wu HY, et al. Inhibition of NADPH oxidase-related oxidative stress-triggered signaling by honokiol suppresses high glucose-induced human endothelial cell apoptosis. Free Radic Biol Med. 2008;44(12):2043–50. doi:10.1016/j.freeradbiomed.2008.03.014.

    CAS  Article  PubMed  Google Scholar 

  6. Chiang CK, Hsu SP, Wu CT, Huang JW, Cheng HT, Chang YW, et al. Endoplasmic reticulum stress implicated in the development of renal fibrosis. Mol Med. 2011;17(11–12):1295–305. doi:10.2119/molmed.2011.00131.

    CAS  PubMed  PubMed Central  Google Scholar 

  7. Wu CT, Sheu ML, Tsai KS, Weng TI, Chiang CK, Liu SH. The role of endoplasmic reticulum stress-related unfolded protein response in the radiocontrast medium-induced renal tubular cell injury. Toxicol Sci. 2010;114(2):295–301. doi:10.1093/toxsci/kfq006.

    CAS  Article  PubMed  Google Scholar 

  8. Atoh K, Itoh H, Haneda M. Serum indoxyl sulfate levels in patients with diabetic nephropathy: relation to renal function. Diabetes Res Clin Pract. 2009;83(2):220–6. doi:10.1016/j.diabres.2008.09.053.

    CAS  Article  PubMed  Google Scholar 

  9. Chiang CK, Tanaka T, Inagi R, Fujita T, Nangaku M. Indoxyl sulfate, a representative uremic toxin, suppresses erythropoietin production in a HIF-dependent manner. Lab Invest. 2011;91(11):1564–71. doi:10.1038/labinvest.2011.114.

    CAS  Article  PubMed  Google Scholar 

  10. Kshirsagar AV, Moss KL, Elter JR, Beck JD, Offenbacher S, Falk RJ. Periodontal disease is associated with renal insufficiency in the Atherosclerosis Risk In Communities (ARIC) study. Am J Kidney Dis. 2005;45(4):650–7.

    Article  PubMed  Google Scholar 

  11. Chen LP, Chiang CK, Chan CP, Hung KY, Huang CS. Does periodontitis reflect inflammation and malnutrition status in hemodialysis patients? Am J Kidney Dis. 2006;47(5):815–22. doi:10.1053/j.ajkd.2006.01.018.

    Article  PubMed  Google Scholar 

  12. Chen LP, Chiang CK, Peng YS, Hsu SP, Lin CY, Lai CF, et al. Relationship between periodontal disease and mortality in patients treated with maintenance hemodialysis. Am J Kidney Dis. 2011;57(2):276–82. doi:10.1053/j.ajkd.2010.09.016.

    Article  PubMed  Google Scholar 

  13. Chen PM, Lai TS, Chen PY, Lai CF, Wu V, Chiang WC, et al. Renoprotective effect of combining pentoxifylline with angiotensin-converting enzyme inhibitor or angiotensin II receptor blocker in advanced chronic kidney disease. J Formos Med Assoc. 2014;113(4):219–26. doi:10.1016/j.jfma.2014.01.002.

    CAS  Article  PubMed  Google Scholar 

  14. Chen PM, Lai TS, Chen PY, Lai CF, Yang SY, Wu V, et al. Multidisciplinary care program for advanced chronic kidney disease: reduces renal replacement and medical costs. Am J Med. 2015;128(1):68–76. doi:10.1016/j.amjmed.2014.07.042.

    Article  PubMed  Google Scholar 

  15. Li HY, Jiang YD, Chang CH, Chung CH, Lin BJ, Chuang LM. Mortality trends in patients with diabetes in Taiwan: a nationwide survey in 2000–2009. J Formos Med Assoc. 2012;111(11):645–50. doi:10.1016/j.jfma.2012.09.013.

    Article  PubMed  Google Scholar 

  16. Wu MS, Wu IW, Shih CP, Hsu KH. Establishing a platform for battling end-stage renal disease and continuing quality improvement in dialysis therapy in Taiwan—Taiwan Renal Registry Data System (TWRDS). Acta Nephrol. 2011;25(3):148–53.

    Google Scholar 

  17. Lin YC, Hsu CY, Kao CC, Chen TW, Chen HH, Hsu CC, et al. Incidence and prevalence of ESRD in Taiwan Renal Registry Data System (TWRDS): 2005–2012. Acta Nephrol. 2014;28(2):65–8.

    Google Scholar 

  18. Wada T, Haneda M, Furuichi K, Babazono T, Yokoyama H, Iseki K, et al. Clinical impact of albuminuria and glomerular filtration rate on renal and cardiovascular events, and all-cause mortality in Japanese patients with type 2 diabetes. Clin Exp Nephrol. 2014;18(4):613–20. doi:10.1007/s10157-013-0879-4.

    CAS  Article  PubMed  Google Scholar 

  19. Astor BC, Matsushita K, Gansevoort RT, van der Velde M, Woodward M, Levey AS, et al. Lower estimated glomerular filtration rate and higher albuminuria are associated with mortality and end-stage renal disease. A collaborative meta-analysis of kidney disease population cohorts. Kidney Int. 2011;79(12):1331–40. doi:10.1038/ki.2010.550.

    CAS  Article  PubMed  Google Scholar 

  20. Berhane AM, Weil EJ, Knowler WC, Nelson RG, Hanson RL. Albuminuria and estimated glomerular filtration rate as predictors of diabetic end-stage renal disease and death. Clin J Am Soc Nephrol. 2011;6(10):2444–51. doi:10.2215/cjn.00580111.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Haneda M, Utsunomiya K, Koya D, Babazono T, Moriya T, Makino H, et al. A new classification of Diabetic Nephropathy 2014: a report from Joint Committee on Diabetic Nephropathy. Clin Exp Nephrol. 2014;. doi:10.1007/s10157-014-1057-z.

    PubMed  Google Scholar 

  22. National Kidney Foundation. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis. 2002;39(2 Suppl 1):S1–266.

    Google Scholar 

  23. KDIGO. Clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int. 2012;2013(Suppl 3):1–150.

    Google Scholar 

  24. Nosadini R, Velussi M, Brocco E, Bruseghin M, Abaterusso C, Saller A, et al. Course of renal function in type 2 diabetic patients with abnormalities of albumin excretion rate. Diabetes. 2000;49(3):476–84.

    CAS  Article  PubMed  Google Scholar 

  25. Levey AS, de Jong PE, Coresh J, El Nahas M, Astor BC, Matsushita K, et al. The definition, classification, and prognosis of chronic kidney disease: a KDIGO Controversies Conference report. Kidney Int. 2011;80(1):17–28. doi:10.1038/ki.2010.483.

    Article  PubMed  Google Scholar 

  26. Shimizu M, Furuichi K, Toyama T, Kitajima S, Hara A, Kitagawa K, et al. Long-term outcomes of Japanese type 2 diabetic patients with biopsy-proven diabetic nephropathy. Diabetes Care. 2013;36(11):3655–62. doi:10.2337/dc13-0298.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  27. Ivory SE, Packham DK, Reutens AT, Wolfe R, Rohde RD, Lewis J, et al. Residual proteinuria and eGFR predict progression of renal impairment within 2 years in type 2 diabetic patients with nephropathy who are receiving optimal treatment with angiotensin receptor blockers. Nephrology (Carlton). 2013;18(7):516–24. doi:10.1111/nep.12053.

    CAS  Article  Google Scholar 

  28. Akbari A, Clase CM, Acott P, Battistella M, Bello A, Feltmate P, et al. Canadian Society of Nephrology Commentary on the KDIGO clinical practice guideline for CKD evaluation and management. Am J Kidney Dis. 2014;. doi:10.1053/j.ajkd.2014.10.013.

    Google Scholar 

  29. Hwang SJ, Lin MY, Chen HC, Hwang SC, Yang WC, Hsu CC, et al. Increased risk of mortality in the elderly population with late-stage chronic kidney disease: a cohort study in Taiwan. Nephrol Dial Transplant. 2008;23(10):3192–8. doi:10.1093/ndt/gfn222.

    Article  PubMed  Google Scholar 

  30. O’Hare AM, Choi AI, Bertenthal D, Bacchetti P, Garg AX, Kaufman JS, et al. Age affects outcomes in chronic kidney disease. J Am Soc Nephrol. 2007;18(10):2758–65. doi:10.1681/asn.2007040422.

    Article  PubMed  Google Scholar 

  31. Agarwal R, Bunaye Z, Bekele DM, Light RP. Competing risk factor analysis of end-stage renal disease and mortality in chronic kidney disease. Am J Nephrol. 2008;28(4):569–75. doi:10.1159/000115291.

    Article  PubMed  Google Scholar 

  32. Kilbride HS, Stevens PE, Eaglestone G, Knight S, Carter JL, Delaney MP, et al. Accuracy of the MDRD (Modification of Diet in Renal Disease) study and CKD-EPI (CKD Epidemiology Collaboration) equations for estimation of GFR in the elderly. Am J Kidney Dis. 2013;61(1):57–66. doi:10.1053/j.ajkd.2012.06.016.

    Article  PubMed  Google Scholar 

  33. Eriksen BO, Ingebretsen OC. The progression of chronic kidney disease: a 10-year population-based study of the effects of gender and age. Kidney Int. 2006;69(2):375–82. doi:10.1038/sj.ki.5000058.

    CAS  Article  PubMed  Google Scholar 

  34. Evans M, Fryzek JP, Elinder CG, Cohen SS, McLaughlin JK, Nyren O, et al. The natural history of chronic renal failure: results from an unselected, population-based, inception cohort in Sweden. Am J Kidney Dis. 2005;46(5):863–70. doi:10.1053/j.ajkd.2005.07.040.

    Article  PubMed  Google Scholar 

  35. Hemmelgarn BR, Zhang J, Manns BJ, Tonelli M, Larsen E, Ghali WA, et al. Progression of kidney dysfunction in the community-dwelling elderly. Kidney Int. 2006;69(12):2155–61. doi:10.1038/sj.ki.5000270.

    CAS  Article  PubMed  Google Scholar 

  36. Ekinci EI, Jerums G, Skene A, Crammer P, Power D, Cheong KY, et al. Renal structure in normoalbuminuric and albuminuric patients with type 2 diabetes and impaired renal function. Diabetes Care. 2013;36(11):3620–6. doi:10.2337/dc12-2572.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  37. Shimizu M, Furuichi K, Yokoyama H, Toyama T, Iwata Y, Sakai N, et al. Kidney lesions in diabetic patients with normoalbuminuric renal insufficiency. Clin Exp Nephrol. 2014;18(2):305–12. doi:10.1007/s10157-013-0870-0.

    CAS  Article  PubMed  Google Scholar 

  38. Couchoud C, Labeeuw M, Moranne O, Allot V, Esnault V, Frimat L, et al. A clinical score to predict 6-month prognosis in elderly patients starting dialysis for end-stage renal disease. Nephrol Dial Transplant. 2009;24(5):1553–61. doi:10.1093/ndt/gfn698.

    Article  PubMed  Google Scholar 

  39. de Zeeuw D, Remuzzi G, Parving HH, Keane WF, Zhang Z, Shahinfar S, et al. Proteinuria, a target for renoprotection in patients with type 2 diabetic nephropathy: lessons from RENAAL. Kidney Int. 2004;65(6):2309–20. doi:10.1111/j.1523-1755.2004.00653.x.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

This work was supported by grants from the Taiwan Ministry of Science and Technology (MOST-104-2314-B-002-126-MY3) and the National Taiwan University Hospital (NTUH-104-S2810 and NTUH 105-A-123).

Author information

Affiliations

Authors

Corresponding author

Correspondence to Chih-Kang Chiang.

Ethics declarations

Conflict of interest

The authors have declared that no conflict of interest exists.

About this article

Verify currency and authenticity via CrossMark

Cite this article

Chen, PM., Wada, T. & Chiang, CK. Prognostic value of proteinuria and glomerular filtration rate on Taiwanese patients with diabetes mellitus and advanced chronic kidney disease: a single center experience. Clin Exp Nephrol 21, 307–315 (2017). https://doi.org/10.1007/s10157-016-1290-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10157-016-1290-8

Keywords

  • Chronic kidney disease
  • Diabetes mellitus
  • Proteinuria