Why the study?
To explore the role of serum albumin and LVEF in predicting all-cause mortality in patients with stable coronary artery disease.
Does the combination of serum albumin and left ventricular ejection fraction predict all-cause mortality in patients with stable coronary artery disease?
Does the combination of serum albumin and left ventricular ejection fraction predict all-cause mortality in patients with stable coronary artery disease?
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The combination of serum albumin and left ventricular ejection fraction provides superior prognostic value for predicting all-cause mortality in patients with stable coronary artery disease compared to either marker alone.
Objective: To explore serum albumin (Alb) and left ventricular ejection fraction (LVEF) in predicting all-cause mortality (ACD) in patients with stable coronary artery disease (SCAD). Method: Patients with SCAD were divided into 4 groups according to their Alb and LVEF levels. The KM curves were used to compare ACD among the four groups. ROC curves were used to compare the efficacy of predicting ACD among the combination of Alb and LVEF and either Alb or LVEF alone. Cox regression analysis identified the influencing factors of ACD in patients with SCAD and detected the correlation between Alb and LVEF. Results: ACD occurred in 18 (8.9%) of 203 patients with SCAD, with an average follow-up of 26.53±14.34 months. In the K‒M analysis, the risk of ACD in the four groups ranged from high to low: Group A (26.7%)>Group B (17.6%)> Group D (0.9%) > Group C (0%, P <0.001). The ROC curve showed that the combination of Alb and LVEF (AUC=0.888) had better predictive value for ACD than either Alb (AUC=0.879) or LVEF alone (AUC=0.651), P <0.001. Multivariate Cox regression analysis showed that Alb ≤4 g/dL predicted ACD events after adjusting for baseline (HR: 12.16, 95% CI: 1.57 to 94.41; P =0.017) and treatment (HR: 19.36, 95% CI: 2.53-147.78, P =0.004). Alb was positively correlated with LVEF (r=0.22, P =0.002). Conclusions: Alb combined with LVEF is more effective than a single index in predicting ACD in SCAD and could be used as a new model to judge the prognosis of SCAD.
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Zhang et al. (2023) studied this question.
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