Background Although systemic immune-inflammation index (SII) and the systemic inflammation response index (SIRI) have garnered attention as novel inflammatory response markers in various clinical contexts, their application in patients with ST-segment elevation myocardial infarction (STEMI) following percutaneous coronary intervention (PCI) remains unclear. This study aims to fill this gap by investigating and validating the relationships between SII, SIRI, and the risks for all-cause mortality and major adverse cardiovascular events (MACEs) in this specific patient population. Methods 1222 participants diagnosed with STEMI and who underwent urgent PCI were included in the study. Cox proportional hazards regression analyses were employed to analyze the association between log10 SII, SIRI, and the occurrence of all-cause mortality and MACEs. Receiver operating characteristic (ROC) curves were used to compare the predictive values of log10 SII and SIRI for all-cause mortality and MACEs. Restricted cubic spline (RCS) curves were performed to explore the non-linear relationships between log10 SII, SIRI and all-cause mortality, MACEs. Additionally, subgroup analyses were conducted to further investigate the distribution characteristics of log10 SII and SIRI across different participant groups. Results After a 1-year follow-up, 106 experienced all-cause mortality, and 163 experienced MACEs. Higher levels of log10 SII and SIRI were independent risk factors for all-cause mortality (log10 SII: hazard ratio [HR] = 8.994, 95% confidence interval [CI] 1.265–63.948, p = 0.028; SIRI: HR = 3.671, 95% CI 1.004–13.425, p = 0.049) after adjusting for covariates. The area under the curve (AUC) for log10 SII and SIRI combined with other variables was 0.781. Meanwhile, higher levels of log10 SII and SIRI were also independent risk factors for MACEs (log10 SII: HR = 6.465, 95% CI 1.356–30.821, p = 0.019; SIRI: HR = 4.739, 95% CI 1.778–12.632, p = 0.002) after adjusting for covariates. The AUC for log10 SII and SIRI combined with other variables was 0.694. The restricted cubic spline (RCS) curves indicated non-linear relationships between SIRI not log10 SII and all-cause mortality, MACEs. Conclusions Log10 SII and SIRI are positively associated with the occurrence of all-cause mortality and MACEs, with this correlation being more significant in the higher-level log10 SII and SIRI groups.

The prognostic values of the SII and the SIRI in patients with STEMI following percutaneous coronary intervention: a retrospective study

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2025年12月29日

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Haoyu Yan,
Yan Ye,
Senlin Hu,
Yang Sun,
Yanghui Chen,
Rui Li,
Guanglin Cui

摘要

Background

Although systemic immune-inflammation index (SII) and the systemic inflammation response index (SIRI) have garnered attention as novel inflammatory response markers in various clinical contexts, their application in patients with ST-segment elevation myocardial infarction (STEMI) following percutaneous coronary intervention (PCI) remains unclear. This study aims to fill this gap by investigating and validating the relationships between SII, SIRI, and the risks for all-cause mortality and major adverse cardiovascular events (MACEs) in this specific patient population.

Methods

1222 participants diagnosed with STEMI and who underwent urgent PCI were included in the study. Cox proportional hazards regression analyses were employed to analyze the association between log₁₀ SII, SIRI, and the occurrence of all-cause mortality and MACEs. Receiver operating characteristic (ROC) curves were used to compare the predictive values of log₁₀ SII and SIRI for all-cause mortality and MACEs. Restricted cubic spline (RCS) curves were performed to explore the non-linear relationships between log₁₀ SII, SIRI and all-cause mortality, MACEs. Additionally, subgroup analyses were conducted to further investigate the distribution characteristics of log₁₀ SII and SIRI across different participant groups.

Results

After a 1-year follow-up, 106 experienced all-cause mortality, and 163 experienced MACEs. Higher levels of log₁₀ SII and SIRI were independent risk factors for all-cause mortality (log₁₀ SII: hazard ratio [HR] = 8.994, 95% confidence interval [CI] 1.265–63.948, p = 0.028; SIRI: HR = 3.671, 95% CI 1.004–13.425, p = 0.049) after adjusting for covariates. The area under the curve (AUC) for log₁₀ SII and SIRI combined with other variables was 0.781. Meanwhile, higher levels of log₁₀ SII and SIRI were also independent risk factors for MACEs (log₁₀ SII: HR = 6.465, 95% CI 1.356–30.821, p = 0.019; SIRI: HR = 4.739, 95% CI 1.778–12.632, p = 0.002) after adjusting for covariates. The AUC for log₁₀ SII and SIRI combined with other variables was 0.694. The restricted cubic spline (RCS) curves indicated non-linear relationships between SIRI not log₁₀ SII and all-cause mortality, MACEs.

Conclusions

Log₁₀ SII and SIRI are positively associated with the occurrence of all-cause mortality and MACEs, with this correlation being more significant in the higher-level log₁₀ SII and SIRI groups.