Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Observational Study
. 2025 Apr 19;26(1):199.
doi: 10.1186/s12882-025-04119-x.

Association between time-varying serum lipid levels and all-cause mortality in haemodialysis and peritoneal dialysis patients

Affiliations
Observational Study

Association between time-varying serum lipid levels and all-cause mortality in haemodialysis and peritoneal dialysis patients

Zhenjian Xu et al. BMC Nephrol. .

Abstract

Objective: Changes in lipid levels over time and the associated all-cause mortality have not yet been studied in different populations of patients undergoing dialysis. This study aimed to investigate the differences in time-varying serum lipid levels and all-cause mortality among haemodialysis (HD) and peritoneal dialysis (PD) patients over a 5-year follow-up period.

Methods: This observational study included Chinese patients with end-stage renal disease (ESRD) who started HD or PD at Sun Yat-sen Memorial Hospital from January 2010 to February 2018. Changes in lipid profiles and trends of change in overall survival rates between the two groups were investigated. Risk factors for the outcome were identified, and the optimal cut-off values were determined using ROC analysis. Additionally, the relationship between the group variable and the outcome measure was assessed using linear regression with a generalized estimating equation (GEE) model.

Results: A total of 141 patients (74 HD patients and 67 PD patients) were enrolled in the study. Forty-three (30.71%) patients died during the follow-up period. Compared with the HD group, the PD group had significantly greater triglyceride (TG) (Year 1 and Year 2) and low-density lipoprotein cholesterol (LDL-C) (Year 2) levels and significantly lower high-density lipoprotein cholesterol (HDL-C) (Year 1 and Year 2) levels. There was no significant difference in total cholesterol (TC) levels. The GEE results revealed similar changes in lipid levels between HD patients and PD patients over time. The Kaplan‒Meier survival curve revealed that there was no significant difference in overall survival between the two groups (log-rank test, P = 0.119). Furthermore, the multivariate Cox proportional hazard regression models demonstrated that baseline HDL-C levels (HR: 0, 95% CI: 0 to 0.11; P = 0.004) and changes in LDL-C levels from baseline to 3 years of follow-up(difference from 0 to 3 years of follow-up) (HR: 0.21, 95% CI: 0.09 to 0.53; P < 0.001) were associated with a greater risk of death in HD patients. An increase in LDL-C levels (difference from 0 to 3 years of follow-up) ≤ 0.24 mmol/L in HD patients and age ≥ 53 years in all patients initiating dialysis was associated with a significantly increased risk of mortality.

Conclusion: The baseline levels of HDL-C and changes in LDL-C levels over a three-year period were significant predictors of all-cause mortality in HD patients, which differed from the lack of significant risk factors observed in the PD group.

Keywords: Haemodialysis; Lipid; Mortality; Peritoneal dialysis; Time-varying.

PubMed Disclaimer

Conflict of interest statement

Declarations. Ethics approval and consent to participate: The study followed the tenets of the Declaration of Helsinki, and informed consent was obtained from all the participants. The study was approved by the institutional review board of Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China (SYSKY-2024-860-01). Clinical trial number: Not applicable. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
The line chart of index results from year 0 to year 5, including TG (A), TC (B), HDL-C (C), LDL-C (D), UA (E), SOD (F), Ferritin (G), iPTH (H), HB (I) and ALB (J)
Fig. 2
Fig. 2
The Kaplan-Meier survival functions of HD and PD groups to overall survival
Fig. 3
Fig. 3
The forest plot of all estimated hazard ratio (HR) in multivariate models
Fig. 4
Fig. 4
The ROC of independent variables to dead outcome, including all patient’s age and Ca (difference 0 to 3) (A), all patient’s PALB (negative related to dead outcome) (B), HD group’s HDL-C (baseline) and LDL-C (difference 0 to 3) (both negative related to dead outcome) (C), PD group’s PALB (negative related to dead outcome) (D)

Similar articles

References

    1. Qishu L, Wei L. L-shaped association between dietary niacin intake and chronic kidney disease among adults in the USA: a cross-sectional study. Ren Fail. 2024;46(2). - PMC - PubMed
    1. Wang L, Xu X, Zhang M, Hu C, Zhang X, Li C, et al. Prevalence of chronic kidney disease in China: results from the sixth China chronic disease and risk factor surveillance. JAMA Intern Med. 2023;183(4):298–310. - PMC - PubMed
    1. Qunibi WY. Dyslipidemia in dialysis patients. Semin Dial. 2015 Jul-Aug;28(4):345– 53. - PubMed
    1. Tingting G, Wenqi X, Huanqing G, Jijuan Z, Jiaojiao Z, Kaiyue W, et al. Relationship between control of cardiovascular risk factors and chronic kidney disease progression, cardiovascular disease events, and mortality in Chinese adults. J Am Coll Cardiol. 2024;84(14). - PubMed
    1. Natalia S. Dyslipidemia in peritoneal dialysis: implications for peritoneal membrane function and patient outcomes. biomedicines. 2024;12(10). - PMC - PubMed

Publication types

LinkOut - more resources