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Dr. Adrian Man
Research article Value of serum NT-IGFBP-4 for non-invasive risk stratification of coronary heart disease and predictive efficiency for complexity of coronary artery lesions Huiqing Lv, Xin Ge, Shuping Yang, Fusheng Xu, Hong Liu, Hua Zhang
Correspondence should be addressed to: Huiqing Lv
Abstract: Background: We aimed to explore the value of serum N-terminal insulin-like growth factor-binding protein 4 (NT-IGFBP-4) in the non-invasive risk stratification of coronary heart disease and its predictive efficiency for the complexity of coronary artery lesions [assessed by Synergy between PCI with TAXUS and Cardiac Surgery (SYNTAX) and SYNTAX II scores]. Methods: Subjects (180 in total) were recruited from patients treated between September 2023 and September 2024. Serum NT-IGFBP-4 level was measured. SYNTAX and SYNTAX II scores were assessed. Results: The serum NT-IGFBP-4 level, SYNTAX score, and SYNTAX II score of the high-risk group were significantly higher than those of medium- and low-risk groups (p<0.001). The patients with more affected vessels had higher NT-IGFBP-4 levels. Univariate analysis of variance showed that NT-IGFBP-4 level was significantly different among the three risk groups (F=18.991, p<0.001), with a linear trend (p<0.001). Spearman rank correlation analysis showed that NT-IGFBP-4 level was positively correlated with the risk stratification (r=0.420, p<0.001). Multivariate logistic regression analysis showed that NT-IGFBP-4 level, SYNTAX score, and three-vessel disease were independent predictors of coronary artery lesions (p<0.05). ROC curve analysis showed that the areas under the curves of NT-IGFBP-4, SYNTAX score, and three-vessel disease were all >0.700. Conclusions: Serum NT-IGFBP-4 reflects the pathophysiological state of coronary heart disease when combined with the SYNTAX II scoring system. It shows a significant positive correlation with the risk of coronary heart disease and can independently predict this risk. Keywords: coronary heart disease, correlation, NT-IGFBP-4, risk stratification, scoring
Received: 20.2.2025 |
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