May 1, 2025Journal of Inflammation ResearchOpen Access

Correlation Between Systemic Immune Inflammation Index(Sll) and Outcome After Occlusion in Patients with Post-Infarction Ventricular Septal Rupture

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Why the study?

This study aimed to determine the association between the Systemic Immune-Inflammation Index and prognosis following occlusion in patients with post-infarction ventricular septal rupture.

Does a high Systemic Immune-Inflammation Index (SII) predict in-hospital mortality in patients with post-infarction ventricular septal rupture undergoing transcatheter closure?

Structured PICO

Does a high Systemic Immune-Inflammation Index (SII) predict in-hospital mortality in patients with post-infarction ventricular septal rupture undergoing transcatheter closure?

Population

130 patients with post-infarction ventricular septal rupture (PIVSR) who underwent successful transcatheter ventricular septal rupture closure at a single center between 2018 and 2023. Mean age ~66-67 years, ~39% male. Key inclusion: definite diagnosis of acute myocardial infarction (STEMI or NSTEMI), echocardiography or ventriculogram confirmed left to right shunt, successful transcatheter closure.

Intervention

High Systemic Immune-Inflammation Index (SII ≥ 1079) at admission

Comparator

Low Systemic Immune-Inflammation Index (SII < 1079) at admission

Outcome

In-hospital death from any cause (including death from any cause within 72 hours after hospital discharge)hard clinical

The Systemic Immune-Inflammation Index (SII) is an independent predictor of short-term mortality in patients with post-infarction ventricular septal rupture undergoing transcatheter closure, and its inclusion in prognostic models improves predictive accuracy.

Implication

SII may aid post-PIVSR risk stratification after occlusion; leaves open prospective validation and therapeutic targeting.

Abstract

Background: The Systemic Immune-Inflammation Index (SII) is a key indicator for assessing inflammatory status. This study aims to determine the association between SII and prognosis following occlusion in patients with post-infarction ventricular septal rupture (PIVSR). Methods: A total of 130 patients admitted to Fuwai Central China Cardiovascular Hospital between 2018 and 2023 were included in this retrospective study. Based on the tertiles of the Systemic Inflammatory Index (SII), the patients were categorized into two groups: 65 patients in the low SII group and 65 in the high SII group. Variable screening was performed using the Least Absolute Shrinkage and Selection Operator (LASSO) analysis. We conducted multivariable logistic regression analyses to rigorously assess the independent association between SII and short-term outcomes in PIVSR patients. After variable selection, a nomogram was constructed using R, and Restricted Cubic Splines (RCS) were employed to flexibly model nonlinear relationships. Subsequently, the predictive abilities of the screened variables and SII for the outcome were independently evaluated using Receiver Operating Characteristic (ROC) curve analysis. Results: A nomogram model incorporating ALT, UREA, NT-proBNP, and SII was developed to predict the short-term prognosis of PIVSR patients following occlusion surgery. ROC curve analysis demonstrated that the area under the curve (AUC) for SII level was 0.702 (95% CI: 0.599– 0.804, P < 0.001). Incorporating the Systemic Immune-Inflammation Index (SII) significantly improved prognostic accuracy, with Model 2 demonstrating superior discriminatory power (AUC 0.845 vs 0.828) over Model 1. Conclusion: The Systemic Immune-Inflammation (SII) is a convenient and effective prognostic indicator, and the model incorporating SII can facilitate personalized prognostic assessment for patients with post-infarction ventricular septal rupture (PIVSR).