Relationship Between Systemic Immune-Inflammation Index (SII) and the Severity of Stable Coronary Artery Disease

Autor: Mustafa Candemir, Asife Sahinarslan, Serdar Nurkoç, Emrullah Kiziltunc
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Blood Platelets
Male
medicine.medical_specialty
Multivariate statistics
Neutrophils
Coronary Artery Disease
030204 cardiovascular system & hematology
Coronary Angiography
Logistic regression
Risk Assessment
Severity of Illness Index
Coronary artery disease
Lesion
03 medical and health sciences
0302 clinical medicine
Predictive Value of Tests
Risk Factors
Internal medicine
White blood cell
medicine
Humans
Angina
Stable
Lymphocyte Count
Lymphocytes
Coronary atherosclerosis
Aged
Retrospective Studies
030304 developmental biology
Inflammation
0303 health sciences
Platelet Count
business.industry
Retrospective cohort study
Odds ratio
Middle Aged
Prognosis
medicine.disease
Cross-Sectional Studies
medicine.anatomical_structure
Cardiology
Female
medicine.symptom
Cardiology and Cardiovascular Medicine
business
Popis: Systemic immune-inflammation index (SII; platelet count × neutrophil-to-lymphocyte ratio), a novel marker, predicts adverse clinical outcomes in coronary artery diseases (CAD). We hypothesized that SII could provide more valuable information in assessing the severity of CAD than ratios obtained from other white blood cell subtypes. Patients (n = 669) who underwent coronary angiography were analyzed in this retrospective study. We analyzed the relation between the SII and the angiographic severity of CAD. The severity of coronary atherosclerosis was determined by the SYNTAX score (SxS). Patients with CAD were divided into 3 groups according to the SxS. Multivariate logistic analysis was used to assess risk factors of CAD. In multivariate logistic regression analysis, the SII (odds ratio: 1.004; 95% CI: 1.001-1.007; P = .015) was an independent predictor of high SxS. Additionally, there was a positive correlation between SII and SxS (Rho: 0.630, P ≤ .001). In the receiver-operating characteristic curve analysis, SII with an optimal cutoff value of 750 × 103 predicted the severe coronary lesion with a sensitivity of 86.2% and specificity of 87.3%. The SII, an inexpensive and easily measurable laboratory variable, was significantly associated with the severity of CAD and high SxS in patients with stable angina pectoris.
Databáze: OpenAIRE
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