Systemic immune-inflammation index for predicting poor outcome after carotid endarterectomy: A novel hematological marker.

Autor:	Yuksel A; Department of Cardiovascular Surgery, Bursa City Hospital, Bursa, Turkey., Velioglu Y; Department of Cardiovascular Surgery, Bursa City Hospital, Bursa, Turkey., Korkmaz UTK; Department of Cardiovascular Surgery, Bolu Abant Izzet Baysal University, Faculty of Medicine, Bolu, Turkey., Deser SB; Department of Cardiovascular Surgery, Istanbul University-Cerrahpasa, Institute of Cardiology, Istanbul, Turkey., Topal D; Department of Cardiology, Bursa City Hospital, Bursa, Turkey., Badem S; Department of Cardiovascular Surgery, Bursa City Hospital, Bursa, Turkey., Taner T; Department of Cardiovascular Surgery, Bursa City Hospital, Bursa, Turkey., Ucaroglu ER; Department of Cardiovascular Surgery, Bolu Abant Izzet Baysal University, Faculty of Medicine, Bolu, Turkey., Kahraman N; Department of Cardiovascular Surgery, Bursa City Hospital, Bursa, Turkey., Demir D; Department of Cardiovascular Surgery, Bursa City Hospital, Bursa, Turkey.
Jazyk:	angličtina
Zdroj:	Vascular [Vascular] 2024 Jun; Vol. 32 (3), pp. 565-572. Date of Electronic Publication: 2022 Nov 28.
DOI:	10.1177/17085381221141476
Abstrakt:	Objective: To investigate the predictive role of systemic immune-inflammation index (SII) on postoperative poor outcome in patients undergoing carotid endarterectomy (CEA). Methods: A total of 347 patients undergoing elective isolated CEA between March 2010 and April 2022 were included in this multicenter retrospective observational cohort and risk-prediction study and were divided into two groups as poor outcome group ( n = 23) and favorable outcome group ( n = 324). Poor outcome was defined as the presence of at least one of the complications within 30 days of surgery including stroke, myocardial infarction, and death. The patients' baseline clinical characteristics, comorbidities, and hematological indices were derived from the complete blood count (CBC) analysis, and perioperative data, outcomes, and complications were screened, recorded, and then compared between the groups. Multivariate logistic regression and receiver-operating characteristic (ROC) curve analyses were conducted following univariate analyses to detect the independent predictors of poor outcome as well as the cutoff values with sensitivity and specificity rates. Results: A total of 23 patients out of 347 (6.6%) manifested poor outcome; and stroke, myocardial infarction, and death occurred in 13, 3, and 7 cases, respectively. There were no significant differences between the groups in terms of basic clinical characteristics, comorbidities, and perioperative data, except for lengths of intensive care unit and hospital stays. Although the median values of PLT, PLR, NLR, and SII of the poor outcome group were found to be significantly higher than the favorable outcome group in univariate analysis, only SII was detected to be a significant and independent predictor of poor outcome in multivariate logistic regression analysis (OR = 1.0008; 95% CI: 1.0004-1.0012; p = 0.002). ROC curve analysis revealed that SII of 1356 × 10 3 /mm 3 constituted the cutoff value for predicting poor outcome with 78.3% sensitivity and 64.5% specificity (AUC = 0.746; 95% CI: 0.64-0.851). Conclusions: Our study revealed for the first time in the literature that SII significantly predicted poor outcome after CEA. Competing Interests: Declaration of conflicting interestsThe authors declared no conflicts of interest concerning the authorship and/or publication of this article.
Databáze:	MEDLINE
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