Relationship Between the Aggregate Index of Systemic Inflammation and the prognosis in Patients With CAD and CKD

Tian Chang1,2, Yibo He3,4, Yihang Ling4

  • 1School of Medicine, South China University of Technology, Guangzhou, China.

Angiology
|May 25, 2025
PubMed

Insights

The Aggregate Index of Systemic Inflammation (AISI) predicts mortality in patients with coronary artery disease (CAD) and chronic kidney disease (CKD). Higher AISI levels are linked to increased risks of all-cause and cardiovascular death.

Area of Science:

  • Cardiology
  • Nephrology
  • Inflammation Research

Background:

  • Coronary artery disease (CAD) and chronic kidney disease (CKD) often coexist, worsening systemic inflammation.
  • The predictive capability of the Aggregate Index of Systemic Inflammation (AISI) in this dual-condition population is not well-established.

Purpose of the Study:

  • To investigate the association between AISI levels and mortality outcomes in patients with both CAD and CKD.
  • To determine if AISI can serve as a prognostic biomarker in this high-risk group.

Main Methods:

  • Analysis of data from the Cardiorenal Improvement II (CIN-II) cohort, including 15,133 patients with CAD and CKD.
  • Calculation of AISI using neutrophil, platelet, monocyte, and lymphocyte counts.
  • Statistical analysis, including survival analysis with adjustment for confounding factors, over a median follow-up of 4.26 years.

Main Results:

  • Elevated AISI levels were significantly associated with increased all-cause mortality (HRs ranging from 1.20 to 1.59 across quartiles).
  • Higher AISI levels also correlated with a greater risk of cardiovascular mortality (HRs ranging from 1.27 to 1.78 across quartiles).
  • A clear trend (p < 0.001) of increasing mortality risk with higher AISI quartiles was observed for both outcomes.

Conclusions:

  • The Aggregate Index of Systemic Inflammation (AISI) is an independent predictor of both all-cause and cardiovascular mortality in patients with comorbid CAD and CKD.
  • AISI may be a valuable tool for risk stratification in patients with these combined conditions.

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