Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Special Issue: Current evidence and perspectives for hypertension management in Asia
  • Published:

More rapid progression of brain atrophy in patients on peritoneal dialysis compared with hemodialysis: The VCOHP Study

A Comment to this article was published on 05 January 2024

Abstract

We previously reported that brain atrophy was more severe and progressed more rapidly in patients with end-stage kidney disease on peritoneal dialysis (PD) than those with non-dialysis-dependent chronic kidney disease. However, it remains unknown whether there is a difference between patients on PD and hemodialysis (HD). In total, 73 PD and 34 HD patients who underwent brain magnetic resonance imaging (MRI) were recruited for a cross-sectional analysis. Among them, 42 PD and 25 HD patients who underwent a second brain MRI after 2 years were recruited for a longitudinal analysis. T1-weighted MRI images were analyzed. Total gray matter volume (GMV), total white matter volume, and cerebrospinal fluid volume were segmented, and each volume was quantified using statistical parametric mapping software. The ratio of GMV (GMR) was calculated by dividing GMV by intracranial volume, to adjust for variations in head size. We compared GMR between PD and HD patients in the cross-sectional analysis and the annual change in GMR (AC-GMR) in the longitudinal analysis. In the cross-sectional analysis, age- and sex-adjusted GMR was significantly lower in PD than HD patients [least square mean (LSM): 39.2% vs. 40.0%, P = 0.018]. AC-GMR was significantly greater in PD than HD patients and this difference remained significant even after adjustment for potential confounding factors (LSM: −0.68 vs. −0.28 percentage-points/year, P = 0.011). In conclusion, the present study demonstrated a more rapid progression of brain atrophy in PD patients compared with HD patients.

We demonstrated that decline in GMR progressed significantly more rapidly in PD than HD patients independent of potential confounding factors. GMR gray matter volume ratio, HD hemodialysis, PD peritoneal dialysis.

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

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Tsuruya K, Yoshida H, Haruyama N, Fujisaki K, Hirakata H, Kitazono T. Clinical significance of fronto-temporal gray matter atrophy in executive dysfunction in patients with chronic kidney disease: The VCOHP Study. PLoS One. 2015;10:e0143706.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Bugnicourt JM, Godefroy O, Chillon JM, Choukroun G, Massy ZA. Cognitive disorders and dementia in CKD: the neglected kidney-brain axis. J Am Soc Nephrol. 2013;24:353–63.

    Article  CAS  PubMed  Google Scholar 

  3. Kurella Tamura M, Wadley V, Yaffe K, McClure LA, Howard G, Go R, et al. Kidney function and cognitive impairment in US adults: the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study. Am J Kidney Dis. 2008;52:227–34.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Franc DT, Kodl CT, Mueller BA, Muetzel RL, Lim KO, Seaquist ER. High connectivity between reduced cortical thickness and disrupted white matter tracts in long-standing type 1 diabetes. Diabetes. 2011;60:315–9.

    Article  CAS  PubMed  Google Scholar 

  5. Hayashi K, Kurioka S, Yamaguchi T, Morita M, Kanazawa I, Takase H, et al. Association of cognitive dysfunction with hippocampal atrophy in elderly Japanese people with type 2 diabetes. Diabetes Res Clin Pract. 2011;94:180–5.

    Article  PubMed  Google Scholar 

  6. Roberts RO, Knopman DS, Przybelski SA, Mielke MM, Kantarci K, Preboske GM, et al. Association of type 2 diabetes with brain atrophy and cognitive impairment. Neurology. 2014;82:1132–41.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Nagano-Saito A, Washimi Y, Arahata Y, Kachi T, Lerch JP, Evans AC, et al. Cerebral atrophy and its relation to cognitive impairment in Parkinson disease. Neurology. 2005;64:224–9.

    Article  CAS  PubMed  Google Scholar 

  8. Sluimer JD, van der Flier WM, Karas GB, Fox NC, Scheltens P, Barkhof F, Vrenken H. Whole-brain atrophy rate and cognitive decline: longitudinal MR study of memory clinic patients. Radiology. 2008;248:590–8.

    Article  PubMed  Google Scholar 

  9. Jokinen H, Lipsanen J, Schmidt R, Fazekas F, Gouw AA, van der Flier WM, et al. Brain atrophy accelerates cognitive decline in cerebral small vessel disease: the LADIS study. Neurology. 2012;78:1785–92.

    Article  CAS  PubMed  Google Scholar 

  10. Zhang LJ, Wen J, Ni L, Zhong J, Liang X, Zheng G, Lu GM. Predominant gray matter volume loss in patients with end-stage renal disease: a voxel-based morphometry study. Metab Brain Dis. 2013;28:647–54.

    Article  PubMed  Google Scholar 

  11. Yoshimitsu T, Hirakata H, Fujii K, Kanai H, Hirakata E, Higashi H, et al. Cerebral ischemia as a causative mechanism for rapid progression of brain atrophy in chronic hemodialysis patients. Clin Nephrol. 2000;53:445–51.

    CAS  PubMed  Google Scholar 

  12. Mizumasa T, Hirakata H, Yoshimitsu T, Hirakata E, Kubo M, Kashiwagi M, et al. Dialysis-related hypotension as a cause of progressive frontal lobe atrophy in chronic hemodialysis patients: a 3-year prospective study. Nephron Clin Pract. 2004;97:c23–30.

    Article  PubMed  Google Scholar 

  13. Tsuruya K, Yoshida H, Kuroki Y, Nagata M, Mizumasa T, Mitsuiki K, et al. Brain atrophy in peritoneal dialysis and CKD stages 3-5: a cross-sectional and longitudinal study. Am J Kidney Dis. 2015;65:312–21.

    Article  PubMed  Google Scholar 

  14. Consensus Committee. Consensus statement on the worldwide standardization of the hemoglobin A1C measurement: the American Diabetes Association, European Association for the Study of Diabetes, International Federation of Clinical Chemistry and Laboratory Medicine, and the International Diabetes Federation. Diabetes Care. 2007;30:2399–2400.

    Article  Google Scholar 

  15. Yoshida H, Kawaguchi A, Tsuruya K. Radial basis function-sparse partial least squares for application to brain imaging data. Comput Math Methods Med. 2013;2013:591032.

    Article  MathSciNet  PubMed  PubMed Central  Google Scholar 

  16. Taki Y, Kinomura S, Sato K, Goto R, Kawashima R, Fukuda H. A longitudinal study of gray matter volume decline with age and modifying factors. Neurobiol Aging. 2011;32:907–15.

    Article  PubMed  Google Scholar 

  17. Taki Y, Thyreau B, Kinomura S, Sato K, Goto R, Kawashima R, Fukuda H. Correlations among brain gray matter volumes, age, gender, and hemisphere in healthy individuals. PLoS One. 2011;6:e22734.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Wolfgram DF, Szabo A, Murray AM, Whittle J. Risk of dementia in peritoneal dialysis patients compared with hemodialysis patients. Perit Dial Int. 2015;35:189–98.

    Article  PubMed  PubMed Central  Google Scholar 

  19. O'lone E, Connors M, Masson P, Wu S, Kelly PJ, Gillespie D, et al. Cognition in people with end-stage kidney disease treated with hemodialysis: a systematic review and meta-analysis. Am J Kidney Dis. 2016;67:925–35.

    Article  PubMed  Google Scholar 

  20. Tian X, Guo X, Xia X, Yu H, Li X, Jiang A. The comparison of cognitive function and risk of dementia in CKD patients under peritoneal dialysis and hemodialysis: A PRISMA-compliant systematic review and meta-analysis. Medicine (Baltimore). 2019;98:e14390.

    Article  PubMed  Google Scholar 

  21. Chen HJ, Qiu J, Qi Y, Fu L, Fu Q, Wu W, et al. Hippocampal subfield morphology in regular hemodialysis patients. Nephrol Dial Transplant. 2023;38:992–1001.

  22. Kuwabara Y, Sasaki M, Hirakata H, Koga H, Nakagawa M, Chen T, et al. Cerebral blood flow and vasodilatory capacity in anemia secondary to chronic renal failure. Kidney Int. 2002;61:564–9.

    Article  PubMed  Google Scholar 

  23. Kanai H, Hirakata H, Nakane H, Fujii K, Hirakata E, Ibayashi S, Kuwabara Y. Depressed cerebral oxygen metabolism in patients with chronic renal failure: a positron emission tomography study. Am J Kidney Dis. 2001;38:S129–S133.

    Article  CAS  PubMed  Google Scholar 

  24. Hirakata H, Yao H, Osato S, Ibayashi S, Onoyama K, Otsuka M, et al. CBF and oxygen metabolism in hemodialysis patients: effects of anemia correction with recombinant human EPO. Am J Physiol. 1992;262:F737–F743.

    CAS  PubMed  Google Scholar 

  25. Grimm G, Stockenhuber F, Schneeweiss B, Madl C, Zeitlhofer J, Schneider B. Improvement of brain function in hemodialysis patients treated with erythropoietin. Kidney Int. 1990;38:480–6.

    Article  CAS  PubMed  Google Scholar 

  26. Temple RM, Langan SJ, Deary IJ, Winney RJ. Recombinant erythropoietin improves cognitive function in chronic haemodialysis patients. Nephrol Dial Transplant. 1992;7:240–5.

    Article  CAS  PubMed  Google Scholar 

  27. Park SE, Kim H, Lee J, Lee NK, Hwang JW, Yang JJ, et al. Decreased hemoglobin levels, cerebral small-vessel disease, and cortical atrophy: among cognitively normal elderly women and men. Int Psychogeriatr. 2016;28:147–56.

    Article  PubMed  Google Scholar 

  28. Drew DA, Bhadelia R, Tighiouart H, Novak V, Scott TM, Lou KV, et al. Anatomic brain disease in hemodialysis patients: a cross-sectional study. Am J Kidney Dis. 2013;61:271–8.

    Article  PubMed  Google Scholar 

  29. Kamata T, Hishida A, Takita T, Sawada K, Ikegaya N, Maruyama Y, et al. Morphologic abnormalities in the brain of chronically hemodialyzed patients without cerebrovascular disease. Am J Nephrol. 2000;20:27–31.

    Article  CAS  PubMed  Google Scholar 

  30. USRDS 2023 Annual Report, End Stage Renal Disease: Chapter 11, International Comparison. https://usrds-adr.niddk.nih.gov/2023/end-stage-renal-disease/11-international-comparisons. Accessed 10 November (2023).

Download references

Acknowledgements

We greatly appreciate Prof. Takashi Yoshiura (Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences) for technical advice on the analysis of the MRI data and the staff of the Advanced Preventive Medical Center in Kyushu University Hospital for their kind cooperation. We also appreciate Drs. Koji Mitsuiki (Harasanshin Hospital), Hideki Hirakata (Fukuoka Renal Clinic), Takashi Nagae (National Hospital Organization Fukuoka-higashi Medical Center), Masatomo Taniguchi (Fukuoka Renal Clinic), Yasuhiro Kawai (Steel Memorial Yawata Hospital), Yasuhisa Tamura (JCHO Kyushu Hospital), Michiya Shinozaki (Shin-Yurigaoka General Hospital), Hidetoshi Kanai (Kokura Memorial Hospital), Takashi Deguchi (Hamanomachi Hospital), Dai Matsuo (Munakata Medical Association Hospital), Izumi Shimano (Munakata Medical Association Hospital), Yusuke Kuroki (National Hospital Organization Fukuoka-higashi Medical Center), Itsuko Ishida (Gofukumachi Kidney Clinic, Harasanshin Hospital), Kei Hori (Hori Clinic), Shotaro Ohnaka (Tagawa Municipal Hospital), Hiroshi Tsuruta (Kokura Daiichi Hospital), Toru Mizumasa (Kyushu Central Hospital), Makoto Hirakawa (Hirakawa Internal Medicine Clinic), Takahiro Yoshimitsu (Fukuoka Mirai Hospital), Kiyoshi Ikeda (Ikeda Vascular Access Dialysis and Internal Medicine Clinic), Koichiro Goto (Goto Clinic), Chiaki Miishima (Miishima Internal Medicine Clinic), Kiichiro Ueno (Ueno Hospital), Takashi Ono (Toma Clinic), Toru Sanai (Fukumitsu Clinic), Takashi Ando (Hakozaki Park Internal Medicine Clinic) for their helpful enrollment of patients to this study. We thank Richard Robins, PhD, from Edanz Group (https://en-author-services.edanzgroup.com/) for editing a draft of this manuscript.

Funding

This work was not financially supported by any pharmaceutical company or funding agency.

Author information

Authors and Affiliations

Authors

Contributions

Study conception and design: KaT, HY; data acquisition: KaT, HY, SY, NH, ST, AT, ME, KF, KuT, TN, KM; data analysis/interpretation: KaT, HY; statistical analysis: KaT, HY; supervision or mentorship: TK. Each author made important intellectual contributions during manuscript drafting or revision and accepts accountability for the overall work by ensuring that questions pertaining to the accuracy or integrity of any portion of the work are appropriately investigated and resolved. KaT takes responsibility that this study has been reported honestly, accurately, and transparently; that no important aspects of the study have been omitted, and that any discrepancies from the study as planned (and, if relevant, registered) have been explained.

Corresponding author

Correspondence to Kazuhiko Tsuruya.

Ethics declarations

Conflict of interest

The authors declare no comperting interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tsuruya, K., Yoshida, H., Yamada, S. et al. More rapid progression of brain atrophy in patients on peritoneal dialysis compared with hemodialysis: The VCOHP Study. Hypertens Res 47, 887–897 (2024). https://doi.org/10.1038/s41440-023-01530-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41440-023-01530-5

Key words

This article is cited by

Search

Quick links