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Systemic Immune-Inflammation Index predicts severe community-acquired pneumonia in pediatric patients.

Systemic Immune-Inflammation Index predicts severe community-acquired pneumonia in pediatric patient…
Photo by Nathan Rimoux / Unsplash
Key Takeaway
Consider SII ≥738.0 as a risk marker for severe pediatric pneumonia in retrospective settings.

This retrospective analysis examined 595 pediatric patients at the Affiliated Hospital of North Sichuan Medical College to evaluate the Systemic Immune-Inflammation Index (SII) as a predictor for severe pneumonia. The study population consisted of children with community-acquired pneumonia. No specific comparator group was reported in the input data, and the study phase and publication type were not reported.

The primary outcome assessed the ability of SII to predict severe pneumonia. Analysis revealed that SII was an independent risk factor for severe pneumonia. Specifically, an SII value of ≥738.0 was found to significantly increase the risk of developing severe pneumonia. The direction of this association was an increased risk, although specific effect sizes, absolute numbers, or p-values were not reported in the source data.

Regarding predictive performance, a combined model that included SII, infection status, length of hospital stay, and ICU admission showed higher predictive accuracy than SII alone. Safety data, including adverse events, serious adverse events, discontinuations, and tolerability, were not reported. No limitations were explicitly listed in the input, and funding or conflicts of interest were not reported.

The practice relevance indicates that SII is a useful biomarker for predicting severe pneumonia in children. However, because this was a retrospective analysis, causal inferences cannot be made. The certainty of these findings is limited by the lack of reported effect sizes, confidence intervals, and safety data.

Study Details

Study typeCohort
EvidenceLevel 3
PublishedApr 2026
View Original Abstract ↓
ObjectiveThis study aimed to evaluate the role of Systemic Immune-Inflammation Index (SII) in predicting the diagnosis of severe pneumonia in children.MethodsA retrospective analysis included 595 pediatric community-acquired pneumonia (CAP) patients from the Affiliated Hospital of North Sichuan Medical College (January 2024–July 2025). Patients were randomly divided into development (70%) and validation (30%) sets. General clinical data and SII were collected. Statistical analysis included Mann–Whitney U, chi-square, multivariate logistic regression, and ROC analysis. A predictive nomogram was developed and evaluated for calibration, discrimination, and clinical utility.ResultsSII was an independent risk factor for severe pneumonia. An SII ≥738.0 significantly increased severe pneumonia risk. A combined model including SII, infection status, length of hospital stay, and ICU admission showed higher predictive accuracy than SII alone. Conclusion: SII is a useful biomarker for predicting severe pneumonia in children. The nomogram integrating SII with clinical factors demonstrates good predictive performance.
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