Related Experiment Video
Updated: Aug 7, 2026
Surgical Techniques for Catheter Placement and 5/6 Nephrectomy in Murine Models of Peritoneal Dialysis
Published on: July 19, 2018
Atherogenic index predicts all-cause and cardiovascular mortality in incident peritoneal dialysis patients
Jihong Deng1, Xingming Tang2, Ruiying Tang1
1Department of Nephrology, Jiangmen Central Hospital, Jiangmen, China.
Insights
The Atherogenic Index (AI) is linked to increased mortality in peritoneal dialysis (PD) patients. Higher AI levels significantly correlate with greater risks of cardiovascular disease (CVD) and overall death in PD populations.
Area of Science:
- Nephrology
- Cardiology
- Biomarkers
Background:
- Atherosclerosis is a major complication in peritoneal dialysis (PD) patients, increasing cardiovascular disease (CVD) risk.
- The Atherogenic Index (AI) is a known predictor of atherosclerosis, but its prognostic role in PD patients is unclear.
Purpose of the Study:
- To investigate the association between the Atherogenic Index (AI) and both all-cause and CVD mortality in patients undergoing PD.
- To determine if AI can serve as a prognostic marker for adverse outcomes in this patient group.
Main Methods:
- A cohort of 2682 PD patients was analyzed from January 2006 to December 2018.
- Patients were stratified into four groups based on AI quartiles.
- Multivariable Cox regression models were used to assess the relationship between AI and mortality.
Main Results:
- Over a median follow-up of 35.5 months, 800 deaths occurred, 416 from CVD.
- A non-linear relationship was observed between AI and adverse outcomes.
- The highest AI quartile (Q4) demonstrated significantly increased hazard ratios for all-cause (HR 1.54) and CVD mortality (HR 1.78) compared to the lowest quartile (Q1).
Conclusions:
- The Atherogenic Index (AI) is independently associated with increased all-cause and CVD mortality in patients on PD.
- AI may function as a valuable prognostic indicator for cardiovascular events and mortality in PD patients.
Background And Aims:
Atherosclerosis, the main cause of cardiovascular disease (CVD), is prevalent in patients undergoing peritoneal dialysis (PD). Atherogenic index (AI) is a strong predictor of atherosclerosis. However, its prognostic value in CVD outcomes and all-cause mortality among patients undergoing PD remains uncertain. Therefore, we aimed to evaluate the association between AI and all-cause and CVD mortality in PD patients.
Methods:
Calculated based on lipid profiles obtained through standard laboratory procedures, AI was evaluated in 2682 patients who underwent PD therapy between January 2006 and December 2017 and were followed up until December 2018. The study population was divided into four groups according to the quartile distribution of AI (Q1: <2.20, Q2: 2.20 to <2.97, Q3: 2.97 to <4.04, and Q4: ≥4.04). Multivariable Cox models were employed to explore the associations between AI and CVD and all-cause mortality was evaluated.
Results:
During a median follow-up of 35.5 months (interquartile range, 20.9-57.2 months), 800 patients died, including 416 deaths from CVD. Restricted cubic splines showed non-linear relationship between AI and adverse clinical outcomes. The risks of all-cause and CVD mortality gradually increased across quartiles (log-rank, p < 0.001). After adjusting for potential confounders, the highest quartile (Q4) showed significantly elevated hazard ratio (HR) for both all-cause mortality (HR 1.54 [95% confidence interval (CI), 1.21-1.96]) and CVD mortality risk (HR 1.78 [95% CI, 1.26-2.52]), compared to the lowest quartile (Q1).
Conclusions:
AI was independently associated with all-cause and CVD mortality in patients undergoing PD, suggesting that AI might be a useful prognostic marker.
More Related Videos
Related Concept Videos
01:28Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration
01:30Coronary Artery Disease I: Introduction