ArticleMediators of inflammation2025
The Systemic Inflammation Response Index as an Independent Predictor of Acute Kidney Injury in Critically Ill Patients With Acute Myocardial Infarction: Insights From a Large-Scale Cohort Study.
Article in Mediators of inflammation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- A Dynamic Approach to Assessing and Predicting AKI Risk in Patients with Aortoiliac Occlusive Disease Undergoing Aorto-Bifemoral Bypass.Diagnostics (Basel, Switzerland) · 2026Article
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10 authors.
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Abstract
Background: Acute kidney injury (AKI) is a critical risk factor for adverse outcomes in acute myocardial infarction (AMI) patients admitted to the intensive care unit (ICU). Early identification of high-risk patients is essential for personalized treatment. The systemic inflammation response index (SIRI), a marker of systemic inflammation, has not been fully explored for its predictive role in AKI. Methods: This study included 6936 critically ill AMI patients from the MIMIC-III and MIMIC-IV databases Lasso regression, multivariate logistic regression, restricted cubic spline (RCS) models, and subgroup analyses were employed to explore the association between SIRI and AKI risk. Then, we constructed a predictive model based on these findings internally validated using bootstrapping (1000 repetitions). Discrimination was assessed by the optimism-corrected area under the receiver operating characteristic (ROC) curve (areas under the curve [AUC]), and calibration was evaluated by the calibration curve and the Hosmer-Lemeshow test. The optimal cutoff value for SIRI was determined using the Youden index and propensity score matching (PSM; 1:1) was performed. Conditional logistic regression was used to validate the robustness of this association. Additionally, Cox regression and Kaplan-Meier survival analyses were conducted to assess the relationship between SIRI and in-hospital mortality in the overall cohort. Results: Elevated SIRI levels independently predicted AKI, showing a nonlinear relationship. Subgroup and propensity-matched analyses confirmed this association. Furthermore, the predictive performance of the model was robust upon internal validation. The optimism-corrected AUC was 0.767 (95% CI: 0.755-0.781) and the calibration curve showed excellent agreement, the Hosmer-Lemeshow test indicated good fit ( Conclusion: SIRI is an independent risk factor for AKI and in-hospital mortality in critically ill AMI patients, offering valuable clinical utility for early AKI prediction and risk stratification.
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