Volume 106, Issue 1 pp. 174-180
ORIGINAL ARTICLE - BASIC SCIENCE

Predictive Value of the Systemic Immune-Inflammation Index and CRUSADE Score for Bleeding and Mortality in Older Patients With Acute Coronary Syndrome

Ahmet Gürdal

Corresponding Author

Ahmet Gürdal

Department of Cardiology, University of Health Sciences, Şişli Hamidiye Etfal Education and Research Hospital, Istanbul, Turkey

Correspondence: Ahmet Gürdal ([email protected])

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Ebru Serin

Ebru Serin

Department of Cardiology, University of Health Sciences, Şişli Hamidiye Etfal Education and Research Hospital, Istanbul, Turkey

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Mert Sarılar

Mert Sarılar

Department of Cardiology, University of Health Sciences, Şişli Hamidiye Etfal Education and Research Hospital, Istanbul, Turkey

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Mutlu Çağan Sümerkan

Mutlu Çağan Sümerkan

Department of Cardiology, University of Health Sciences, Şişli Hamidiye Etfal Education and Research Hospital, Istanbul, Turkey

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Erol Kalender

Erol Kalender

Department of Cardiology, University of Health Sciences, Şişli Hamidiye Etfal Education and Research Hospital, Istanbul, Turkey

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Hasan Değirmenci

Hasan Değirmenci

Department of Cardiology, University of Health Sciences, Şişli Hamidiye Etfal Education and Research Hospital, Istanbul, Turkey

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Sinan Şahin

Sinan Şahin

Department of Cardiology, University of Health Sciences, Şişli Hamidiye Etfal Education and Research Hospital, Istanbul, Turkey

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Kudret Keskin

Kudret Keskin

Department of Cardiology, University of Health Sciences, Şişli Hamidiye Etfal Education and Research Hospital, Istanbul, Turkey

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First published: 09 April 2025
Citations: 1

ABSTRACT

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.

Conflicts of Interest

The authors declare no conflicts of interest.

Data Availability Statement

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

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