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Chinese Journal of Clinicians(Electronic Edition) ›› 2023, Vol. 17 ›› Issue (10): 1064-1070. doi: 10.3877/cma.j.issn.1674-0785.2023.10.007

• Clinical Research • Previous Articles     Next Articles

Longitudinal data analysis of serum uric acid and other biochemical indicators in maintenance hemodialysis patients

Wei Zhao, Xiaofan Li, Haidan Zhao()   

  1. Department of Nephrology, Peking University Shougang Hospital, Beijing 100144, China
  • Received:2022-12-26 Online:2023-10-15 Published:2024-01-19
  • Contact: Haidan Zhao

Abstract:

Objective

To analyze the changing trend of serum uric acid, triglyceride, cholesterol, and other biochemical indicators measured repeatedly over time in hemodialysis patients in a single center and identify their possible influencing factors.

Methods

A retrospective cohort study was conducted to collect the patients with end-stage renal disease who were newly admitted for hemodialysis at Peking University Shougang Hospital. The total follow-up period was 4.5 years. Blood uric acid, creatinine, triglyceride, cholesterol, and other biochemical indicators of the patients were collected every six months. The generalized estimating equation was used to analyze the change trend of the above repeatedly measured blood biochemical indicators over time, and whether there was any difference in their average changes over time between different genders and comorbidities. The relationship between these biochemical indicators and other covariates over time was also analyzed.

Results

A total of 102 new hemodialysis patients were collected during the 4.5-year follow-up period, of which 48 patients were followed for 5 times. During this period, multiple repeatedly measured blood biochemical indicators (including pre-dialysis uric acid, creatinine, triglyceride, total cholesterol, etc.) decreased gradually with time, and their average changes were different between different genders and comorbidities over time.

Conclusion

The serum uric acid and other biochemical indicators of new hemodialysis patients change gradually with time, and the change trend is different among different subgroups.

Key words: Hemodialysis, Repeated measurement, Biochemical indicators

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