Why the study?
Acute stent thrombosis is associated with increased morbidity and mortality, prompting evaluation of systemic immune-inflammation index and CRP-to-albumin ratio as predictive prognostic markers in ACS patients undergoing PCI.
Do the systemic immune-inflammation index (SII) and C-reactive protein to albumin ratio (CAR) predict acute stent thrombosis and high SYNTAX score in patients with acute coronary syndrome undergoing PCI?
Do the systemic immune-inflammation index (SII) and C-reactive protein to albumin ratio (CAR) predict acute stent thrombosis and high SYNTAX score in patients with acute coronary syndrome undergoing PCI?
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SII and CAR are simple, accessible inflammatory biomarkers that can independently predict acute stent thrombosis and angiographic disease severity in patients with ACS undergoing PCI.
Acute stent thrombosis (AST) is associated with increased morbidity and mortality. The main aim of this study was to evaluate the prognostic value of the systemic immune-inflammation index (SII) and C-reactive protein (CRP) to albumin ratio (CAR) in predicting AST and high SYNTAX score in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI). The criteria of the Academic Research Consortium were used to determine definite stent thrombosis. A total of 2077 consecutive patients with ACS undergoing PCI were retrospectively enrolled. Platelet, white blood cell and neutrophil counts, as well as SII, CRP, CAR, and peak cardiac troponin I (cTnI) values were significantly higher, whereas the lymphocyte count and albumin values were significantly lower in the AST (+) group compared with the AST (-) group (P < .05). SYNTAX score showed significant positive correlations with SII (r = .429, P < .001) and CRP (r = .402, P < .001). Multivariate logistic regression analysis showed that SII and CAR, as well as age, diabetes mellitus, stent length, and peak cTnI are independent predictors of AST and high SYNTAX score. In conclusion, the SII and CAR are simple, relatively cheap, and reliable inflammatory biomarkers that can predict AST and high SYNTAX scores in ACS.
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Akboğa et al. (2022) studied this question.
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