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Kidney function, albuminuria and cardiovascular risk factors in post-operative living kidney donors: a single-center, cross-sectional study

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Abstract

Background

Mortality and renal or cardiovascular prognosis in living kidney donors (LKDs) has been reported to be as same as the general population; however, it is known that the prevalence of hypertension, albuminuria and metabolic syndrome increases after donation. At present, data from Japanese donors are scarce and as a result the actual medical status of LKDs remains unclear. To evaluate cardiovascular disease (CVD) risk factors in Japanese LKDs, we conducted a cross-sectional study on LKDs at our tertiary care hospital and clinic.

Method

Thirty-six out of 63 LKDs who underwent kidney donation at the kidney disease center of the St. Marianna University Hospital were enrolled. The kidney function, albuminuria, and CVD risk factors including hypertension, dyslipidemia, hyperuricemia, glucose intolerance (GI) and obesity were cross-sectionally investigated.

Results

The kidney function by inulin clearance was 55.2 ± 10.3 ml/min/1.73 m2 on average, indicating that 63.9% of LKDs were categorized into chronic kidney disease (CKD) stage 3 after donation. Albuminuria developed in 16.7%. Blood pressure (BP) was not elevated after donation, but ambulatory BP monitoring revealed that 39.4% of LKDs were categorized as having non-dipper type BP. GI was shown in 25% of LKDs. Prevalence of dyslipidemia and hyperuricemia were 41.7% and 27.8%, respectively. Body mass index was not significantly changed after donation. Seven LKDs (19.4%) were diagnosed with metabolic syndrome.

Conclusion

Many Japanese LKDs were experiencing decreased kidney function corresponding to CKD stage 3. They also had a significant but not lower prevalence of albuminuria and CVD risk compared to the general Japanese population. LKDs should be followed closely with special attention to the management of renal and CVD risk factors.

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References

  1. Horvat LD, Shariff SZ, Garg AX. Global trends in the rates of living kidney donation. Kidney Int. 2009;75:1088–98.

    Article  PubMed  Google Scholar 

  2. The Japanese Society for Clinical Renal Transplantation. Annual Progress Report from Japanese Renal Transplant Registry: Number of Renal Transplantation in 2008, part 2. Isyoku. 2009;44:548–58 (in Japanese).

  3. Ibrahim HN, Foley R, Tan L, Rogers T, Bailey RF, Guo H, et al. Long-term consequences of kidney donation. N Engl J Med. 2009;360:459–69.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Segev DL, Muzaale AD, Caffo BS, Mehta SH, Singer AL, Taranto SE, et al. Perioperative mortality and long-term survival following live kidney donation. JAMA. 2010;303:959–66.

    Article  CAS  PubMed  Google Scholar 

  5. Fehrman-Ekholm I, Elinder CG, Stenbeck M, Tyden G, Groth CG. Kidney donors live longer. Transplantation. 1997;64:976–8.

    Article  CAS  PubMed  Google Scholar 

  6. Garg AX, Prasad GV, Thiessen-Philbrook HR, Ping L, Melo M, Gibney EM, Donor Nephrectomy Outcomes Research (DONOR) Network, et al. Cardiovascular disease and hypertension risk in living kidney donors: an analysis of health administrative data in Ontario, Canada. Transplantation. 2008;86:399–406.

    Article  PubMed  Google Scholar 

  7. Okamoto M, Akioka K, Nobori S, Ushigome H, Kozaki K, Kaihara S, et al. Short- and long-term donor outcomes after kidney donation: analysis of 601 cases over a 35-year period at Japanese single center. Transplantation. 2009;87:419–23.

    Article  PubMed  Google Scholar 

  8. Kido R, Shibagaki Y, Iwadoh K, Nakajima I, Fuchinoue S, Fujita T, et al. How do living kidney donors develop end-stage renal disease? Am J Transplant. 2009;9:2514–9.

    Article  CAS  PubMed  Google Scholar 

  9. Boudville N, Prasad GV, Knoll G, Muirhead N, Thiessen-Philbrook H, Yang RC, Donor Nephrectomy Outcomes Research (DONOR) Network, et al. Meta-analysis: risk for hypertension in living kidney donors. Ann Intern Med. 2006;145:185–96.

    Article  PubMed  Google Scholar 

  10. Garg AX, Muirhead N, Knoll G, Yang RC, Prasad GV, Thiessen-Philbrook H, Donor Nephrectomy Outcomes Research (DONOR) Network, et al. Proteinuria and reduced kidney function in living kidney donors: a systematic review, meta-analysis, and meta-regression. Kidney Int. 2006;70:1801–10.

    Article  CAS  PubMed  Google Scholar 

  11. Rizvi SA, Naqvi SA, Jawad F, Ahmed E, Asghar A, Zafar M, et al. Living kidney donor follow-up in a dedicated clinic. Transplantation. 2005;79:1247–51.

    Article  PubMed  Google Scholar 

  12. Kuzuya T, Nakagawa S, Satoh J, Kanazawa Y, Iwamoto Y, Kobayashi M, et al. Committee of the Japan Diabetes Society on the diagnostic criteria of diabetes mellitus. Report of the Committee on the classification and diagnostic criteria of diabetes mellitus. Diabetes Res Clin Pract. 2002;55:65–85.

    Article  PubMed  Google Scholar 

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

    Google Scholar 

  14. Horio M, Yasuda Y, Takahara S, Imai E, Watanabe T, Matsuo S. Comparison of a simple and a standard method for inulin renal clearance. Clin Exp Nephrol. 2010;14(5):427–30.

    Article  PubMed  Google Scholar 

  15. Horio M, Imai E, Yasuda Y, Hishida A, Matsuo S, Japanese Equation for Estimating GFR. Simple sampling strategy for measuring inulin renal clearance. Clin Exp Nephrol. 2009;13:50–4.

    Article  CAS  PubMed  Google Scholar 

  16. Matsuo S, Imai E, Horio M, Yasuda Y, Tomita K, Nitta K, et al. Collaborators developing the Japanese equation for estimated GFR. Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis. 2009;53:982–92.

    Article  CAS  Google Scholar 

  17. Matsuzawa Y. Metabolic syndrome-definition and diagnostic criteria in Japan. J Jpn Soc Med. 2005;94:188–203.

    Google Scholar 

  18. Hakoda M. Epidemiology of hyperuricemia and gout in Japan. Nippon Rinsho. 2008;66:647–52 (in Japanese).

    PubMed  Google Scholar 

  19. Kido R, Shibagaki Y, Iwadoh K, Nakajima I, Fuchinoue S, Fujita T, et al. Very low but stable glomerular filtration rate after living kidney donation: is the concept of “chronic kidney disease” applicable to kidney donors? Clin Exp Nephrol. 2010;14:356–62.

    Article  CAS  PubMed  Google Scholar 

  20. Kakuta Y, Okumi M, Ichimaru N, Abe T, Nonomura N, Okuyama A, et al. Utility of the Japanese GFR estimation equation for evaluating potential donor kidney function. Clin Exp Nephrol. 2010;14:63–7.

    Article  CAS  PubMed  Google Scholar 

  21. Tan JC, Ho B, Busque S, Blouch K, Derby G, Efron B, et al. Imprecision of creatinine-based GFR estimates in uninephric kidney donors. Clin J Am Soc Nephrol. 2010;5:497–502.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Imai E. Equation for estimating GFR from creatinine in Japan. Nippon Rinsho. 2008;66:1725–9 (in Japanese).

    PubMed  Google Scholar 

  23. Iseki K. Chronic kidney disease in Japan. Intern Med. 2008;47:681–9.

    Article  PubMed  Google Scholar 

  24. Imai E, Horio M, Yamagata K, Iseki K, Hara S, Ura N, et al. Slower decline of glomerular filtration rate in the Japanese general population: a longitudinal 10-year follow-up study. Hypertens Res. 2008;31:433–41.

    Article  PubMed  Google Scholar 

  25. Iseki K, Kinjo K, Iseki C, Takishita S. Relationship between predicted creatinine clearance and proteinuria and the risk of developing ESRD in Okinawa, Japan. Am J Kidney Dis. 2004;44:806–14.

    Article  CAS  PubMed  Google Scholar 

  26. Nakayama M, Metoki H, Terawaki H, Ohkubo T, Kikuya M, Sato T, et al. Kidney dysfunction as a risk factor for first symptomatic stroke events in a general Japanese population—the Ohasama study. Nephrol Dial Transplant. 2007;22:1910–5.

    Article  PubMed  Google Scholar 

  27. Konta T, Hao Z, Abiko H, Ishikawa M, Takahashi T, Ikeda A, et al. Prevalence and risk factor analysis of microalbuminuria in Japanese general population: the Takahata study. Kidney Int. 2006;70:751–6.

    Article  CAS  PubMed  Google Scholar 

  28. Ogihara T, Kikuchi K, Matsuoka H, Fujita T, Higaki J, Horiuchi M, Japanese Society of Hypertension Committee, et al. The Japanese Society of Hypertension Guidelines for the Management of Hypertension (JSH 2009). Hypertens Res. 2009;32:3–107.

    PubMed  CAS  Google Scholar 

  29. Ohkubo T, Hozawa A, Yamaguchi J, Kikuya M, Ohmori K, Michimata M, et al. Prognostic significance of the nocturnal decline in blood pressure in individuals with and without high 24-h blood pressure: the Ohasama study. J Hypertens. 2002;20:2183–9.

    Article  CAS  PubMed  Google Scholar 

  30. Hoshide S, Kario K, Hoshide Y, Umeda Y, Hashimoto T, Kunii O, et al. Associations between nondipping of nocturnal blood pressure decrease and cardiovascular target organ damage in strictly selected community-dwelling normotensives. Am J Hypertens. 2003;16:434–8.

    Article  PubMed  Google Scholar 

  31. Eberhard OK, Kliem V, Offner G, Oldhafer K, Fangmann J, Pichlmay R, et al. Assessment of long-term risks for living related kidney donors by 24-h blood pressure monitoring and testing for microalbuminuria. Clin Transplant. 1997;11:415–9.

    PubMed  CAS  Google Scholar 

  32. Fukuda M, Goto N, Kimura G. Hypothesis on renal mechanism of non-dipper pattern of circadian blood pressure rhythm. Med Hypotheses. 2006;67:802–6.

    Article  PubMed  Google Scholar 

  33. Hakoda M. Epidemiology of hyperuricemia and gout in Japan. Nippon Rinsho. 2008;66:647–52 (in Japanese).

    PubMed  Google Scholar 

  34. Madero M, Sarnak MJ, Wang X, Greene T, Beck GJ, Kusek JW, et al. Uric acid and long-term outcomes in CKD. Am J Kidney Dis. 2009;53:796–803.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Okamoto M, Suzuki T, Fujiki M, Nobori S, Ushigome H, Sakamoto S, et al. The consequences for live kidney donors with preexisting glucose intolerance without diabetic complication: analysis at a single Japanese center. Transplantation. 2010;89:1391–5.

    Article  CAS  PubMed  Google Scholar 

  36. Muntner P, He J, Astor BC, Folsom AR, Coresh J. Traditional and nontraditional risk factors predict coronary heart disease in chronic kidney disease: results from the atherosclerosis risk in communities study. J Am Soc Nephrol. 2005;16:529–38.

    Article  PubMed  Google Scholar 

  37. Schaeffner ES, Kurth T, Curhan GC, Glynn RJ, Rexrode KM, Baigent C, et al. Cholesterol and the risk of renal dysfunction in apparently healthy men. J Am Soc Nephrol. 2003;14:2084–91.

    PubMed  CAS  Google Scholar 

  38. Appel GB, Radhakrishnan J, Avram MM, DeFronzo RA, Escobar-Jimenez F, Campos MM, BMRENAAL Study, et al. Analysis of metabolic parameters as predictors of risk in the RENAAL study. Diabetes Care. 2003;26:1402–7.

    Article  PubMed  Google Scholar 

  39. Delmonico F, Council of the Transplantation Society. A report of the Amsterdam forum on the care of the live kidney donor: data and medical guidelines. Transplantation. 2005;79:S53–66.

    Article  Google Scholar 

  40. Issa N, Stephany B, Fatica R, Nurko S, Krishnamurthi V, Goldfarb DA, et al. Donor factors influencing graft outcomes in live donor kidney transplantation. Transplantation. 2007;83:593–9.

    Article  PubMed  Google Scholar 

  41. Health and Welfare Statistics Association. J Health Welf Stat. 2009;56:84.

    Google Scholar 

  42. Praga M, Hernandez E, Herrero JC, Morales E, Revilla Y, Diaz-Gonzalez R, et al. Influence of obesity on the appearance of proteinuria and renal insufficiency after unilateral nephrectomy. Kidney Int. 2000;58:2111–8.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

We sincerely thank Ms. Yumiko Kakuta, chief nurse and orderly of the kidney disease center at St. Marianna University School of Medicine Hospital, for cooperation with inspections.

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Correspondence to Masahiko Yazawa.

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Yazawa, M., Kido, R., Shibagaki, Y. et al. Kidney function, albuminuria and cardiovascular risk factors in post-operative living kidney donors: a single-center, cross-sectional study. Clin Exp Nephrol 15, 514–521 (2011). https://doi.org/10.1007/s10157-011-0441-1

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  • DOI: https://doi.org/10.1007/s10157-011-0441-1

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