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Published on: January 28, 2020
Systemic immune-inflammation index (SII) predicted clinical outcome in patients with coronary artery disease
Ya-Ling Yang1,2,3,4, Cheng-Hsueh Wu1,2, Pai-Feng Hsu1,2,3,5
1Division of Cardiology, Department of Medicine, Healthcare and Management Center, Taipei, Taiwan.
Insights
The systemic immune-inflammation index (SII) predicts major cardiovascular events in coronary artery disease patients post-intervention. Higher SII scores indicate an increased risk of cardiac events, outperforming traditional risk factors.
Area of Science:
- Cardiology
- Inflammation Research
- Biomarker Discovery
Background:
- Coronary artery disease (CAD) poses significant cardiovascular risks.
- Novel biomarkers are needed for improved risk prediction in CAD patients.
- The systemic immune-inflammation index (SII), calculated as platelet × neutrophil/lymphocyte ratio, is a potential prognostic marker.
Purpose of the Study:
- To evaluate the predictive value of the systemic immune-inflammation index (SII) for major cardiovascular events (MACE) in patients with coronary artery disease (CAD) following percutaneous coronary intervention (PCI).
- To compare the predictive performance of SII against traditional risk factors in this patient population.
Main Methods:
- A cohort of 5602 CAD patients undergoing PCI was analyzed.
- Patients were stratified into high and low SII groups based on a validated cut-off point (694.3 × 10⁹).
- Primary outcomes included nonfatal myocardial infarction (MI), nonfatal stroke, and cardiac death; secondary outcomes included MACE plus heart failure hospitalization.
Main Results:
- A higher SII score (≥694.3) was independently associated with increased risks of cardiac death, nonfatal MI, nonfatal stroke, MACE, and total major events.
- The SII significantly improved the risk stratification of MI, cardiac death, heart failure, and MACE compared to conventional risk factors.
- Improvements in risk prediction were evidenced by significant increases in C-index, Net Reclassification Improvement (NRI), and Integrated Discrimination Improvement (IDI).
Conclusions:
- The systemic immune-inflammation index (SII) serves as a valuable and independent predictor of major cardiovascular events in CAD patients after PCI.
- SII demonstrates superior predictive capability for cardiovascular events compared to traditional risk factors in this cohort.
- The findings support the integration of SII into risk assessment protocols for CAD patients undergoing intervention.
Background:
This study examines the predictive value of a novel systemic immune-inflammation index (SII, platelet × neutrophil/lymphocyte ratio) in coronary artery disease (CAD) patients.
Methods:
A total of 5602 CAD patients who had undergone a percutaneous coronary intervention (PCI) were enrolled. They were divided into two groups by baseline SII score (high SII vs low SII) to analyse the relationship between SII groups and the long-term outcome. The primary outcomes were major cardiovascular events (MACE) which includes nonfatal myocardial infarction (MI), nonfatal stroke and cardiac death. Secondary outcomes included a composite of MACE and hospitalization for congestive heart failure.
Results:
An optimal SII cut-off point of 694.3 × 109 was identified for MACE in the CAD training cohort (n = 373) and then verified in the second larger CAD cohort (n = 5602). Univariate and multivariate analyses showed that a higher SII score (≥694.3) was independently associated with increased risk of developing cardiac death (HR: 2.02; 95% CI: 1.43-2.86), nonfatal MI (HR: 1.42; 95% CI: 1.09-1.85), nonfatal stroke (HR: 1.96; 95% CI: 1.28-2.99), MACE (HR: 1.65; 95% CI: 1.36-2.01) and total major events (HR: 1.53; 95% CI: 1.32-1.77). In addition, the SII significantly improved risk stratification of MI, cardiac death, heart failure, MACE and total major events than conventional risk factors in CAD patients by the significant increase in the C-index (P < .001) and reclassification risk categories by significant NRI (P < .05) and IDI (P < .05).
Conclusions:
SII had a better prediction of major cardiovascular events than traditional risk factors in CAD patients after coronary intervention.
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