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Predictive Value of the Systemic Immune-Inflammation Index and CRUSADE Score for Bleeding and Mortality in Older
Ahmet Gürdal1, Ebru Serin1, Mert Sarılar1
1Department of Cardiology, University of Health Sciences, Şişli Hamidiye Etfal Education and Research Hospital, Istanbul, Turkey.
Insights
A high systemic immune-inflammation index (SII) predicts in-hospital bleeding in older acute coronary syndrome (ACS) patients. A high CRUSADE Bleeding Score (CBS) predicts long-term mortality in these patients.
Area of Science:
- Cardiology
- Geriatrics
- Hematology
Background:
- Limited research exists on the systemic immune-inflammation index (SII) and bleeding risk in elderly acute coronary syndrome (ACS) patients.
- This study addresses the gap by investigating SII's predictive value for in-hospital bleeding and the CRUSADE Bleeding Score (CBS) for long-term mortality in this demographic.
Purpose of the Study:
- To evaluate the systemic immune-inflammation index (SII) as a predictor of in-hospital bleeding.
- To assess the CRUSADE Bleeding Score (CBS) for predicting long-term mortality in elderly patients with ACS.
Main Methods:
- The study included 367 patients aged 75 and above with ACS.
- Multivariate logistic regression identified predictors of in-hospital bleeding.
- Kaplan-Meier analysis assessed survival curves and long-term mortality.
Main Results:
- High SII was significantly associated with elevated in-hospital bleeding (p=0.005).
- Estimated glomerular filtration rate (eGFR) and SII were independent predictors of in-hospital bleeding.
- High CBS (≥46) was linked to significantly increased all-cause mortality (p=0.001).
Conclusions:
- The systemic immune-inflammation index (SII) independently predicts in-hospital bleeding in older ACS patients.
- A high CRUSADE Bleeding Score (CBS) upon admission is associated with increased long-term mortality in this patient group.
Background:
There are currently no adequate studies evaluating the relationship between the systemic immune-inflammation index (SII) and bleeding in older patients presenting with acute coronary syndrome (ACS). This study investigated the predictive value of SII for in-hospital bleeding and the CRUSADE Bleeding Score (CBS) for long-term mortality in older patients with ACS.
Methods:
The study included 367 older patients, aged 75 years and above, admitted with ACS between April 2015 and January 2023. Predictors of in-hospital bleeding were determined using multivariate logistic regression analysis. Survival curves were generated using the Kaplan-Meier method.
Results:
The patients' median age was 81 (77-85), and 179 (48.8%) were male. The median follow-up was 24 months (Q1-Q3: 5-47, maximum: 96). In-hospital bleeding was significantly elevated in patients in the high SII group (p = 0.005); all long-term mortality was significantly increased in those with a high CBS (p = 0.001). Multivariate logistic regression analysis revealed that the estimated glomerular filtration rate (eGFR) (odds ratio [OR]: 0.980, 95% confidence interval [CI]: 0.964-0.995, p = 0.009) and SII (OR: 1.001, 95% CI: 1.001-1.003, p = 0.001) were independent predictors of in-hospital bleeding. Kaplan-Meier analysis confirmed that the all-cause mortality rate in patients with high CBS (≥ 46) was significantly higher than that of patients with low CBS (Long Rank: 37.12, p = 0.001).
Conclusion:
A high SII was an independent predictor of in-hospital bleeding, and a high CBS at admission was associated with increased long-term mortality in older patients with ACS.
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