Abstract: Objective  To investigate the predictive value of fibrinogen to albumin ratio(FAR) in major adverse cardiac events(MACEs) in patients with non-ST-segment elevation acute coronary syndrome(NSTE-ACS)during hospitalization.
Methods  The clinical data of 284 patients with NSTE-ACS were collected retrospectively. According to the FAR at admission, they were divided into low FAR group(FAR≤8.0, n=94), medium FAR group(FAR＞8.0-9.6, n=101), and high FAR group(FAR＞9.6, n=89)using tertile method. The general data ［gender, age, resting heart rate, history of diabetesand hypertension, body mass index (BMI)］, laboratory indicators［serum creatinine(SCr), fasting blood glucose(FBG), troponin I(TnI), aspartate aminotransferase(AST), alanine aminotransferase(ALT), triglyceride(TG), total cholesterol (TC), high density lipoprotein cholesterol(HDL-C), low density lipoprotein cholesterol(LDL-C)］, left ventricular ejection fractions(LVEF), Gensini score, Grace score, and MACEs occurrence in three groups were compared. Logistic multivariate regression analysis was used to analyze the influencing factors of MACEs during hospitalization in NSTE-ACS patients, and ROC curve was used to analyze the predictive value of FAR in MACEs during hospitalization in patients with NSTE-ACS.
Results  Male proportion, BMI, TnI, AST, and Gensin scores were significantly higher in high FAR group than in medium and low FAR groups, and LVEF was significantly lower than medium and low FAR groups. Male proportion, BMI, TnI, AST, and Gensin scores were significantly higher and LVEF was significantly lower in medium FAR group than in low FAR group, with significant difference(P＜0.05). The total incidence of MACEs during hospitalization in high FAR group was higher than that of medium and low FAR groups. The total incidence of MACEs in medium FAR group was significantly higher than that of low FAR group, and the difference was statistically significant(P＜0.05). Multivariate Logistic regression analysis showed that Gensin score and FAR are influencing factors of occurrence of MACEs during hospitalzation in NSTE-ACS patients. ROC curve results showed that the area under the curve(AUC) of FAR in predicting MACEs during hospitalization in NSTE-ACS patients was 0.725, with a sensitivity of 64.3% and a specificity of 83.1%.
Conclusion  FAR and Gensin scores are independent risk factors for the occurrence of MACEs, which provide new early predictors for NSTE-ACS patients.

Key words: acute coronary syndrome, fibrinogen, albumins