Skip to main content

Relationship between mortality and speed of eGFR decline in the 3 months prior to dialysis initiation

Abstract

Background

The timing for initiating dialysis in chronic kidney disease is often determined by the clinical symptoms and estimated glomerular filtration rate (eGFR). However, very few studies have examined how the speed of kidney function decline before initiating dialysis relates to mortality after dialysis initiation. Here, we report our examination of the relationship between the speed of eGFR decline in the 3 months prior to dialysis initiation and mortality.

Methods

The study included 1292 new dialysis patients who were registered in the Aichi Cohort Study of Prognosis in Patients Newly Initiated into Dialysis. The subjects were placed in 4 groups based on the speed of eGFR decline in the 3 months before initiating dialysis (eGFR at 3 months before initiation—eGFR at initiation) <2: ≥2, <4: ≥4, <6: ≥6 mL/min/1.73 m2. All-cause, cardiovascular, and infection-related mortality rates were compared using Kaplan–Meier curves. A multivariate analysis using the Cox proportional hazard model was used to extract the factors that contributed to all-cause mortality.

Results

The group with faster eGFR decline exhibited significantly more heart failure symptoms when dialysis was initiated. Rapid eGFR decline correlated with prognosis (log-rank test: all-cause mortality p < 0.001, cardiovascular mortality p < 0.001). The speed of eGFR decline was related to elevated all-cause mortality rates [eGFR decline 10 mL/min/1.73 m2, HR (95 % CI) = 1.53 (1.12–2.08)].

Conclusions

This study showed that patients with rapid eGFR decline in the 3 months before initiating dialysis more often presented with heart failure symptoms when dialysis was initiated and had poorer survival prognoses.

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

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

References

  1. Slinin Y, Ishani A. What drives early dialysis initiation and how do we optimize timing of RRT? Clin J Am Soc Nephrol. 2014;7:1671–3.

    Article  Google Scholar 

  2. Lin ZH, Zuo L. When to initiate renal replacement therapy: The trend of dialysis initiation. World J Nephrol. 2015;4:521–7.

    PubMed  PubMed Central  Google Scholar 

  3. Bonomini V, Feletti C, Scolari MP, et al. Benefits of early initiation of dialysis. Kidney Int. 1985;17(Suppl):S57–9.

    CAS  Google Scholar 

  4. Perrone RD, Madias NE, Levey AS. Serum creatinine as an index of renal function: new insights into old concepts. Clin Chem. 1992;38:1933–53.

    CAS  PubMed  Google Scholar 

  5. Hakim RM, Lazarus JM. Initiation of dialysis. J Am Soc Nephrol. 1995;6:1319–28.

    CAS  PubMed  Google Scholar 

  6. Cooper BA, Branley P, Bulfone L, et al. A randomized, controlled trial of early versus late initiation of dialysis. N Engl J Med. 2010;363(7):609–19.

    CAS  Article  PubMed  Google Scholar 

  7. Yamagata K, Nakai S, Iseki K, et al. Late dialysis start did not affect long-term outcome in Japanese dialysis patients: long-term prognosis from Japanese Society for Dialysis Therapy Registry. Ther Apher Dial. 2012;16:111–20.

    Article  PubMed  Google Scholar 

  8. Hemodialysis Adequacy Work G. Clinical practice guidelines for hemodialysis adequacy, update 2006. Am J Kidney Dis. 2006;48(Suppl 1):S2–90.

    Google Scholar 

  9. Levin A, Hemmelgarn B, Culleton B, et al. Guidelines for the management of chronic kidney disease. CMAJ. 2008;179:1154–62.

    Article  PubMed  PubMed Central  Google Scholar 

  10. European Best Practice Guidelines Expert Group on Hemodialysis, European Renal Association. Section I. Measurement of renal function, when to refer and when to start dialysis. Nephrol Dial Transpl. 2002;17(Suppl 7):7–15.

    Google Scholar 

  11. Kelly J, Stanley M, Harris D. The CARI guidelines. Acceptance into dialysis guidelines. Nephrology (Carlton). 2005;10(Suppl 4):S46–60.

    Article  Google Scholar 

  12. Watanabe Y, Yamagata K, Nishi S, et al. Japanese Society for dialysis therapy clinical guideline for “Hemodialysis Initiation for Maintenance Hemodialysis”. Ther Apher Dial. 2015;19(Suppl1):93–107.

    Article  PubMed  Google Scholar 

  13. Matsuo S, Imai E, Horio M, et al. Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis. 2009;53:982–92.

    CAS  Article  PubMed  Google Scholar 

  14. Kanda Y. Investigation of the freely available easy-to-use software ‘EZR’ for medical statics. Bone Marrow Transplant. 2013;48:452–8.

    CAS  Article  PubMed  Google Scholar 

  15. Hanratty R, Chonchol M, Havranek EP, et al. Relationship between blood pressure and incident chronic kidney disease in hypertensive patients. Clin J Am Soc Nephrol. 2011;6:2605–11.

    Article  PubMed  PubMed Central  Google Scholar 

  16. McMullan CJ, Lambers Heerspink HJ, Parving HH, et al. Visit-to-visit variability in blood pressure and kidney and cardiovascular outcomes in patients with type 2 diabetes and nephropathy: a post hoc analysis from the RENAAL study and the Irbesartan Diabetic Nephropathy Trial. Am J Kidney Dis. 2014;64:714–22.

    Article  PubMed  Google Scholar 

  17. Imai E, Ito S, Haneda M, Harada A et al. Effects of blood pressure on renal and cardiovascular outcomes in Asian patients with type 2 diabetes and overt nephropathy: a post hoc analysis (ORIENT-blood pressure). Nephrol Dial Transpl. 2015. [Epub ahead of print].

  18. Yang W, Xie D, Anderson AH, et al. Association of kidney disease outcomes with risk factors for CKD: findings from the Chronic Renal Insufficiency Cohort (CRIC) study. Am J Kidney Dis. 2014;63:236–43.

    Article  PubMed  Google Scholar 

  19. Fabbian F, Cantelli S, Molino C, et al. Dialysis initiation and survival in patients with refractory congestive heart failure. Int J Artif. 2009;32(8):492–5.

    Google Scholar 

  20. Mitch W, Walser M, Buffington G, et al. A simple method of estimating progression of chronic renal failure. Lancet. 1976;2:1326–8.

    CAS  Article  PubMed  Google Scholar 

  21. Levey A, Perrone R, Madias N. Serum creatinine and renal function. Ann Rev Med. 1988;39:465–90.

    CAS  Article  PubMed  Google Scholar 

  22. Hunsicker LG, Adler S, Caggiula A, et al. Predictors of the progression of renal disease in the modification of diet in renal disease study. Kidney Int. 1997;51:1908–19.

    CAS  Article  PubMed  Google Scholar 

  23. Li L, Astor BC, Lewis J, et al. Longitudinal progression trajectory of GFR among patients with CKD. Am J Kidney Dis. 2012;59:504–12.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Zhong Y, Muñoz A, Schwartz GJ, Warady BA, Furth SL, Abraham AG. Nonlinear trajectory of GFR in children before RRT. J Am Soc Nephrol. 2014;25:913–7.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Crews DC, Scialla JJ, Liu J, Guo H, Bandeen-Roche K, Ephraim PL, Jaar BG, Sozio SM, Miskulin DC, Tangri N, Shafi T, Meyer KB, Wu AW, Powe NR, Boulware LE, for the Developing Evidence to Inform Decisions about Effectiveness (DEcIDE) Patient Outcomes in End Stage Renal Disease Study Investigators. Predialysis health, dialysis timing, and outcomes among older United States adults. J Am Soc Nephrol. 2014;25(2):370–9.

    Article  PubMed  Google Scholar 

  26. O’Hare AM, Batten A, Burrows NR, Pavkov ME, Taylor L, Gupta I, Todd-Stenberg, Maynard, Rodriguez R, Murtagh FEM, Larson EB, Williams DE. Trajectories of kidney function decline in the 2 years before initiation of long-term dialysis. Am J Kidney Dis. 2012;59(4):513–22.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Lee P, Johansen K, Hsu C. End-stage renal disease preceded by rapid declines in kidney function: a case series. BMC Nephrol. 2011;12:5.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgments

We acknowledge the support provided by the following investigators and members of the Aichi Cohort study of Prognosis in Patients Newly Initiated into Dialysis (AICOPP), who participated in this study: Yasuhiro Otsuka, Asami Takeda (Japanese Red Cross Nagoya Daiichi Hospital), Hirofumi Tamai (Anjo Kosei Hospital), Tomohiko Naruse (Kasugai Municipal Hospital), Kei Kurata (Tosei General Hospital), Hideto Oishi (Komaki City Hospital), Isao Aoyama (Japanese Community Healthcare Organization Chukyo Hospital), Hiroshi Ogawa (Shinseikai Daiichi Hospital), Hiroko Kushimoto(Chita City Hospital), Hideaki Shimizu (Chubu-Rosai Hospital), Junichiro Yamamoto(Tsushima City Hospital), Hisashi Kurata (Toyota Kosei Hospital), Taishi Yamakawa (Toyohashi Municipal Hospital), TakaakiYaomura (Nagoya Medical Center), Hirotake Kasuga(Nagoya Kyouritsu Hospital), Shizunori Ichida (Japanese Red Cross Nagoya Daiichi Hospital), Shoichi Maruyama (Nagoya University Graduate School of Medicine), Seiichi Matsuo (Nagoya University Graduate School of Medicine), Noritoshi Kato (Nagoya University Graduate Schoolof Medicine), Shigehisa Koide (Fujita Health University Hospital), and Yukio Yuzawa (Fujita Health University Hospital).

Author information

Affiliations

Authors

Corresponding author

Correspondence to Daijo Inaguma.

Ethics declarations

Competing interests

The Aichi Kidney Foundation funded this study. The authors declare no competing interests.

Additional information

D. Inaguma was an investigator and member of Aichi Cohort Study of Prognosis in Patients Newly Initiated into Dialysis (AICOPP).

About this article

Verify currency and authenticity via CrossMark

Cite this article

Inaguma, D., Murata, M., Tanaka, A. et al. Relationship between mortality and speed of eGFR decline in the 3 months prior to dialysis initiation. Clin Exp Nephrol 21, 159–168 (2017). https://doi.org/10.1007/s10157-016-1262-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10157-016-1262-z

Keywords

  • Chronic kidney disease
  • Dialysis initiation
  • GFR decline
  • Mortality