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Published on: January 28, 2020
The prognostic value of dynamic changes in SII for the patients with STEMI undergoing PPCI
Ailin Liu1, Na Sun1, Feiyu Gao1
1Department of Cardiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Insights
The Systemic Immune Inflammatory Index (SII) predicts outcomes in ST-segment elevation myocardial infarction (STEMI) patients undergoing primary percutaneous coronary intervention (PPCI). Dynamic SII changes at 12 hours and 1 month post-PPCI effectively forecast in-hospital and long-term prognosis.
Area of Science:
- Cardiology
- Inflammation Research
- Biomarker Discovery
Background:
- Predicting prognosis in ST-segment elevation myocardial infarction (STEMI) patients undergoing primary percutaneous coronary intervention (PPCI) is crucial.
- Perioperative inflammatory responses significantly impact patient outcomes.
- The Systemic Immune Inflammatory Index (SII) warrants investigation for its prognostic value in STEMI.
Purpose of the Study:
- To analyze dynamic changes in SII during the perioperative period of PPCI.
- To evaluate the predictive capability of SII for in-hospital and out-of-hospital outcomes in STEMI patients.
- To establish the relationship between SII levels and patient prognosis.
Main Methods:
- Retrospective analysis of 324 STEMI patients undergoing PPCI.
- Serial blood sampling to calculate SII (neutrophils×platelets/lymphocytes) at multiple time points.
- Logistic regression, ROC curve analysis, and Kaplan-Meier curves to assess predictive value and survival rates.
Main Results:
- High SII levels correlated with adverse in-hospital and long-term outcomes.
- SII measured 12 hours post-PPCI (T1) and 1 month post-discharge (T1M) showed excellent predictive value (AUC: 0.896 and 0.892, respectively).
- Patients with higher SII levels exhibited significantly lower survival rates.
Conclusions:
- Dynamic changes in SII are significantly associated with prognosis in STEMI patients.
- SII at 12 hours and 1 month post-PPCI are valuable predictors of in-hospital and out-of-hospital outcomes, respectively.
- Dynamic monitoring of SII offers a promising strategy for risk stratification in STEMI management.
Background:
Predicting the prognosis of primary percutaneous coronary intervention(PPCI) in ST-segment elevation myocardial infarction (STEMI) patients in the perioperative period is of great clinical significance. The inflammatory response during the perioperative period is also an important factor. This study aimed to investigate the dynamic changes in the systemic immune inflammatory index (SII) during the perioperative period of PPCI and evaluate its predictive value for in-hospital and out-of-hospital outcomes in patients with STEMI.
Methods:
This retrospective study included 324 consecutive patients with STEMI who were admitted to the cardiac care unit. Blood samples were collected before PPCI, 12 h (T1), 24 h, 48 h after PPCI, the last time before hospital discharge (T2), and 1 month after hospital discharge. The SII was calculated as (neutrophils×platelets)/lymphocytes. Based on whether the primary endpoint occurred, we divided the patients into event and non-event groups. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors that might influence the occurrence of the primary endpoint. Dynamic curves of SII were plotted, and receiver operating characteristic (ROC) curves were drawn for each node to calculate the optimal critical value, sensitivity, and specificity to assess their predictive ability for in-hospital and out-of-hospital courses. Kaplan-Meier curves were used to analyze the differences in survival rates at different SII inflammation levels.
Results:
High levels of SII were individually related to the occurrence of the in-hospital period and long-term outcomes during the post-operative follow-up of STEMI patients (in-hospital SII: T1:OR 1.001,95%CI 1.001-1.001, P < 0.001; SII following hospital discharge: T1M: OR 1.008,95%CI 1.006-1.010, P < 0.001). Patients with high SII levels had lower survival rates than those with low SII levels. The analysis showed that the SII 12 h after (T1) and SII 1 month (T1M) had excellent predictive values for the occurrence of in-hospital and out-of-hospital outcomes, respectively (AUC:0.896, P < 0.001; AUC:0.892, P < 0.001).
Conclusion:
There is a significant relationship between the dynamic status of SII and prognosis in patients with STEMI. This study found that the 12 h and SII 1 month affected in-hospital and out-of-hospital outcomes, respectively. Consequently, we focused on the dynamic changes in the SII.
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