Systemic Immune-Inflammation Index Predicts Contrast-Induced Acute Kidney Injury in Patients Undergoing Coronary

Hangpan Jiang1, Duanbin Li2,3, Tian Xu2,3

  • 1Department of Cardiology, The Fourth Affiliated Hospital, College of Medicine, Zhejiang University, Yiwu, China.

Frontiers in Medicine
|April 4, 2022
PubMed

Insights

The systemic immune-inflammation index (SII) is a significant predictor of contrast-induced acute kidney injury (CI-AKI). Higher SII levels are associated with an increased incidence of CI-AKI in patients undergoing coronary angiography.

Area of Science:

  • Cardiology
  • Nephrology
  • Immunology

Background:

  • The systemic immune-inflammation index (SII) is an emerging indicator correlated with cardiovascular diseases.
  • Contrast-induced acute kidney injury (CI-AKI) is a significant concern in patients undergoing procedures involving intravascular contrast agents.

Purpose of the Study:

  • To investigate the association between the systemic immune-inflammation index (SII) and the incidence of contrast-induced acute kidney injury (CI-AKI).

Main Methods:

  • A retrospective cross-sectional study included 4,381 subjects undergoing coronary angiography (CAG).
  • The systemic immune-inflammation index (SII) was calculated as neutrophil count × platelet count/lymphocyte count.
  • Multivariable regression, ROC analysis, and structural equation modeling were employed to assess the relationship between SII and CI-AKI.

Main Results:

  • 17.9% of patients developed CI-AKI post-contrast administration.
  • Higher SII levels were linearly associated with increased serum creatinine elevation (β = 0.315, P < 0.001).
  • Elevated SII demonstrated a significant association with increased CI-AKI incidence (OR = 2.914, P < 0.001) and showed a stronger direct effect than C-reactive protein.

Conclusions:

  • The systemic immune-inflammation index (SII) is an independent predictor for CI-AKI in patients undergoing coronary angiography.
  • SII has a good predictive value for CI-AKI, suggesting its utility in risk stratification.
Abstract

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