Clinical Report: Linking the Systemic Immune-Inflammation Index to Post-Stroke Depression
Overview
This meta-analysis investigates the association between the systemic immune-inflammation index (SII) and post-stroke depression (PSD), finding that elevated SII levels significantly increase the risk of PSD. The results suggest that SII may serve as a valuable biomarker for early identification of patients at risk for developing PSD.
Background
Post-stroke depression is a prevalent complication affecting 20-35% of stroke survivors, leading to impaired recovery and increased mortality. Despite established clinical risk factors, reliable biomarkers for early detection of PSD are lacking. The systemic immune-inflammation index (SII) has emerged as a potential tool to assess inflammation-related risks in stroke patients.
Data Highlights
Study
Patients
PSD Cases
Odds Ratio (OR)
Confidence Interval (CI)
Meta-analysis
2,780
822
2.14
1.74–2.64
Key Findings
High SII at admission is associated with a twofold increased risk of PSD (OR = 2.14).
Findings are consistent across various study designs and patient demographics.
Sensitivity analyses confirmed the stability of the association between SII and PSD.
Elevated SII reflects systemic immune dysregulation linked to depressive symptoms.
SII may facilitate early identification of patients at risk for PSD.
Clinical Implications
Healthcare professionals should consider the systemic immune-inflammation index as a potential biomarker for assessing the risk of post-stroke depression. Early identification of patients with elevated SII may enable targeted interventions to improve recovery outcomes.
Conclusion
The systemic immune-inflammation index is a promising tool for identifying stroke patients at risk for post-stroke depression, potentially guiding early therapeutic strategies.
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