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Impact of albumin variability during the first year on prognosis in peritoneal dialysis patients
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  • Published: 05 April 2026

Impact of albumin variability during the first year on prognosis in peritoneal dialysis patients

  • Yonglong Min1 na1,
  • Li Cheng1 na1,
  • Hong Liu1,
  • Nan Jiang1,
  • Wenhui Qiu1,
  • Shuai Fu1,
  • Sheng Wan1,
  • Wenli Chen2,
  • Xiaofei Jin3,
  • Yanmin Zhang1 &
  • …
  • Fei Xiong1 

Scientific Reports , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Diseases
  • Medical research
  • Nephrology
  • Risk factors

Abstract

This multicenter retrospective study aimed to evaluate the association between the coefficient of variation (CV) of serum albumin during the first year of peritoneal dialysis (PD) and clinical outcomes, including technique failure and all-cause mortality. We enrolled patients who initiated PD between January 1, 2018 and December 31, 2024 from three medical centers and maintained treatment for over one year. The albumin-CV was calculated from serial serum albumin measurements during the first year. Participants were categorized into low-, medium-, and high-variability groups based on albumin-CV tertiles. Primary endpoints were technique failure and all-cause mortality. Survival analyses were performed using Kaplan–Meier curves with log-rank tests. Multivariable Cox regression models were employed to assess independent associations. Among 759 included patients (mean age 57.81 ± 13.28 years; 58.8% male), 15.9% had diabetic nephropathy. After a median follow-up of 37 months, 66 technique failures and 170 all-cause deaths occurred. The high-albumin-variability group showed higher prevalence of diabetes and lower hemoglobin, albumin, calcium, and phosphorus levels (all p < 0.05). Albumin variability was significantly associated with all-cause mortality (log-rank χ2 = 8.017, p = 0.013) but not with technique failure. After adjusting for confounders, albumin-CV remained an independent predictor of all-cause mortality (HR = 1.039, 95% CI 1.014–1.064, p = 0.002). Higher variability in serum albumin during the first year of PD is independently associated with increased risk of all-cause mortality.

Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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Acknowledgements

We would like to extend our sincere gratitude to all team members for their diligent efforts in this study.

Author information

Author notes
  1. These authors contributed equally: Yonglong Min and Li Cheng.

Authors and Affiliations

  1. Department of Nephrology, Wuhan No. 1 Hospital, Wuhan, Hubei, China

    Yonglong Min, Li Cheng, Hong Liu, Nan Jiang, Wenhui Qiu, Shuai Fu, Sheng Wan, Yanmin Zhang & Fei Xiong

  2. Department of Nephrology, Central Hospital of Wuhan, Wuhan, Hubei, China

    Wenli Chen

  3. Department of Nephrology, People’s Hospital of Huang Pi, Wuhan, Hubei, China

    Xiaofei Jin

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Contributions

Y. M. and L. C. designed the study, W.Q , S.F, and S.W. extracted and collated the data, Y. M. , H.L. and J.N. performed the analyses. Y. M. wrote the manuscript. W.C. , X.J. ,Y. Z. and F. X. reviewed and edited the manuscript. The manuscript has been approved by all the authors and is ready for publication.

Corresponding authors

Correspondence to Yanmin Zhang or Fei Xiong.

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The authors declare no competing interests.

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Cite this article

Min, Y., Cheng, L., Liu, H. et al. Impact of albumin variability during the first year on prognosis in peritoneal dialysis patients. Sci Rep (2026). https://doi.org/10.1038/s41598-026-47169-3

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  • Received: 07 October 2025

  • Accepted: 30 March 2026

  • Published: 05 April 2026

  • DOI: https://doi.org/10.1038/s41598-026-47169-3

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Keywords

  • Peritoneal dialysis
  • Serum albumin
  • Coefficient of variation
  • Prognosis
  • All-cause mortality
  • Technique failure
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