Higher atherogenic index of plasma is associated with intradialytic hypotension: a multicenter cross-sectional study

Ren Fail. 2024 Dec;46(2):2407885. doi: 10.1080/0886022X.2024.2407885. Epub 2024 Sep 26.

Abstract

Background: Patients receiving maintenance hemodialysis (MHD) frequently encounter a drop in blood pressure during dialysis, known as intradialytic hypotension (IDH). The AIP is associated with diseases such as diabetes and cardiovascular events. It remains unclear whether the AIP is associated with IDH. The present study aimed to explore the association between AIP and IDH in MHD patients.

Methods: In this multi-center cross-sectional study, we included 1946 adult hemodialysis patients from twenty dialysis centers. Patients were divided into four groups based on the AIP quartiles. Linear regression and multiple logistic regression models were used to analyze the relationship between AIP and IDH. Subgroup analyses were further conducted to assess the robustness of the association between the AIP and IDH.

Results: After adjusting for potential confounding variables, each 1-unit increase in AIP was associated with a 21% increase in the odds of IDH. The odds ratios (ORs) of IDH increased gradually with higher quartiles of AIP compared with the Q1 reference group (Q2: OR, 1.41, 95% CI: 0.91-2.18; Q3: OR, 1.63, 95% CI: 1.07-2.49; Q4: OR, 1.57, 95% CI: 1.01-2.42). No interaction was observed in the subgroup analysis stratified by age, sex, history of diabetes, heart failure, and myocardial infarction.

Conclusion: Elevated AIP levels are associated with a heightened risk of IDH in MHD patients.

Keywords: Intradialytic hypotension; atherogenic index of plasma; cross-sectional; maintenance hemodialysis.

Publication types

  • Multicenter Study

MeSH terms

  • Adult
  • Aged
  • Atherosclerosis / blood
  • Atherosclerosis / etiology
  • Blood Pressure
  • Cross-Sectional Studies
  • Female
  • Humans
  • Hypotension* / etiology
  • Kidney Failure, Chronic / blood
  • Kidney Failure, Chronic / complications
  • Kidney Failure, Chronic / therapy
  • Logistic Models
  • Male
  • Middle Aged
  • Renal Dialysis* / adverse effects
  • Risk Factors

Grants and funding

The work was supported by the National Natural Science Foundation of China (82360148), Guizhou Science & Technology Department (QKHPTRC2018-5636-2; QKHCG2023-ZD010).