Systemic immune-inflammation index predicts in-hospital and long-term outcomes in patients with ST-segment elevation
Lütfi Öcal1, Muhammed Keskin2, Sinan Cerşit1,3
1Department of Cardiology, Health Sciences University, Kartal Koşuyolu Heart Training and Research Hospital.
Insights
The systemic immune-inflammation index (SII) effectively predicts outcomes in ST-segment elevation myocardial infarction (STEMI) patients after primary percutaneous coronary intervention (pPCI). Higher SII levels correlate with increased risks of mortality and adverse events.
Area of Science:
- Cardiology
- Inflammation Research
- Biomarker Discovery
Background:
- ST-segment elevation myocardial infarction (STEMI) is a critical cardiovascular emergency.
- Predictive biomarkers are crucial for managing STEMI patients undergoing primary percutaneous coronary intervention (pPCI).
- The systemic immune-inflammation index (SII) is a novel biomarker derived from neutrophil, platelet, and lymphocyte counts.
Purpose of the Study:
- To evaluate the predictive value of the systemic immune-inflammation index (SII) in patients with STEMI.
- To assess the association between SII levels and in-hospital and long-term outcomes following pPCI.
- To compare the predictive performance of SII against traditional risk factors.
Main Methods:
- A cohort of 1660 STEMI patients undergoing pPCI was analyzed.
- Patients were stratified into four groups (Q1-Q4) based on SII levels.
- In-hospital and 3-year outcomes, including mortality and major adverse cardiac events, were compared across SII groups.
Main Results:
- Higher SII groups (Q3 and Q4) showed significantly increased frequencies of in-hospital complications and mortality.
- Logistic and Cox regression models identified high SII as an independent risk factor for mortality and cardiogenic shock.
- Receiver operating characteristic analysis indicated an optimal SII cutoff of 1781 for predicting in-hospital mortality.
Conclusions:
- The systemic immune-inflammation index (SII) is a valuable predictor of both in-hospital and long-term outcomes in STEMI patients post-pPCI.
- SII demonstrates superior predictive capability compared to traditional risk factors for adverse events.
- The findings support the use of SII in risk stratification and management strategies for STEMI patients.
Objective:
This study examines the predictive value of the novel systemic immune-inflammation index (SII) in patients with ST-segment elevation myocardial infarction (STEMI).
Methods:
A total of 1660 patients with STEMI who underwent primary percutaneous coronary intervention (pPCI) were enrolled in the study. In-hospital and 3-year outcomes were compared between the four groups (Q1-4). The SII was calculated using the following formula: neutrophil*platelet/lymphocyte.
Results:
The frequency of in-hospital cardiogenic shock, acute respiratory failure, acute kidney injury, ventricular arrhythmia, stent thrombosis, recurrent myocardial infarction, major adverse cardiac events and mortality were significantly higher in the high SII groups (Q3 and Q4). Logistic regression models demonstrated that Q3 and Q4 had an independent risk of mortality and Q4 had an independent risk of cardiogenic shock compared to Q1. Receiver operating characteristic analysis showed that the best cutoff value of SII to predict the in-hospital mortality was 1781 with 66% sensitivity and 74% specificity. Kaplan-Meier overall survivals for Q1, Q2, Q3 and Q4 were 97.6, 96.9, 91.6 and 81.0%, respectively. Cox proportional analysis for 3-year mortality demonstrated that Q3 and Q4 had an independent risk for mortality compared to Q1.
Conclusion:
SII, a novel inflammatory index, was found to be a better predictor for in-hospital and long-term outcomes than traditional risk factors in patients with STEMI undergoing pPCI.
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