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Meta-Analysis
. 2024 Nov 5;23(2):136-145.
doi: 10.2174/0115701611328810241028112700. Online ahead of print.

The Systemic Immune Inflammation Index as a Novel Predictive Biomarker for Contrast-Induced Acute Kidney Injury Risk Following Percutaneous Coronary Intervention: A Meta-Analysis of Cohort Studies

Yongqiang Zhang  1   2 , Yong Xie  1   2 , Chunyu Zhang  1 , Jianglin Wang  3 , Bin Liao  4 , Jian Feng  1
Affiliations
Meta-Analysis

The Systemic Immune Inflammation Index as a Novel Predictive Biomarker for Contrast-Induced Acute Kidney Injury Risk Following Percutaneous Coronary Intervention: A Meta-Analysis of Cohort Studies

Yongqiang Zhang et al. Curr Vasc Pharmacol. .

Abstract

Background: Contrast-induced Acute Kidney Injury (CI-AKI) frequently occurs as a complication following PCI, making the identification of high-risk patients challenging. While the systemic immune inflammation index (SII) might aid in predicting CI-AKI, the current evidence remains insufficient.

Methods: We conducted a systematic literature search using PubMed, Web of Science, Embase, and the Cochrane Library, with a cut-off date of 3/20/2024. We included observational studies that examined the predictive value of SII for the risk of CI-AKI.

Results: This meta-analysis encompassed 8 studies with a combined total of 6301 participants. Results showed pooled sensitivity and specificity of 0.73 (95% CI 0.69-0.76) and 0.68 (95% CI 0.57- 0.77), respectively. The sROC curve analysis indicated an AUC of 0.74 (95% CI 0.70-0.78). The risk of publication bias was low (p = 0.18).

Conclusion: The results of this study suggest that SII has a relatively high sensitivity and could function as a biomarker for the prediction of CI-AKI risk in people receiving PCI treatment.

Keywords: Percutaneous coronary intervention; contrast-induced acute kidney; injury; meta-analysis.; prognosis; systemic immune inflammation index.

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Conflict of interest statement

The authors declare no conflict of interest, financial or otherwise.

Figures

Fig. (1)
Fig. (1)
Flow diagram for study selection.
Fig. (2)
Fig. (2)
Quality assessment of included studies based on QUADAS-2 tool criteria.
Fig. (3)
Fig. (3)
Forest plot depicting the combined sensitivity and specificity of the SII in predicting contrast-induced nephropathy.
Fig. (4)
Fig. (4)
Forest plot depicting the likelihood ratio of the SII in predicting contrast-induced nephropathy.
Fig. (5)
Fig. (5)
Forest plot depicting the diagnostic score and diagnostic odds ratio of the SII in predicting contrast-induced nephropathy.
Fig. (6)
Fig. (6)
Analysis of summary receiver operating characteristic (sROC) curve demonstrating the predictive effectiveness of SII concerning contrast-induced nephropathy.
Fig. (7)
Fig. (7)
The clinical applicability of SII in forecasting the occurrence of contrast-induced nephropathy illustrated through Fagan’s nomogram plot.
Fig. (8)
Fig. (8)
Sensitivity analysis.
Fig. (9)
Fig. (9)
Funnel plot for publication bias assessment of included studies.
See this image and copyright information in PMC

References

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