Relationship between serum CML,HB-EGF,DPP-4 and coronary artery disease and in-stent restenosis after PCI in patients with coronary heart disease combine with type 2 diabetes mellitus
10.3969/j.issn.1673-4130.2024.23.010
- VernacularTitle:血清CML、HB-EGF、DPP-4与冠心病合并2型糖尿病患者冠状动脉病变和PCI术后支架内再狭窄的关系分析
- Author:
Xiaolong YANG
1
;
Wei ZHAO
;
Long JIN
;
Hong'en MA
;
Shudi XU
Author Information
1. 西安市第九医院心血管内科,陕西西安 710054
- Keywords:
coronary heart disease;
type 2 diabetes mellitus;
percutaneous coronary intervention;
in-stent restenosis;
Ne-carboxymethyl lysine;
heparin-binding epidermal growth factor;
dipeptidyl pepti-dase-4
- From:
International Journal of Laboratory Medicine
2024;45(23):2867-2872
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the relationship between serum Ne-carboxymethyl lysine(CML),hepa-rin-binding epidermal growth factor(HB-EGF),dipeptidyl peptidase-4(DPP-4)and coronary artery disease and in-stent restenosis(ISR)after percutaneous coronary intervention(PCI)in patients with coronary heart disease(CHD)combine with type 2 diabetes mellitus(T2DM).Methods A total of 350 patients with CHD combine with T2DM who underwent PCI in the hospital from January 2019 to December 2022 were selected as the research objects,according to the number of vessels involved in coronary artery disease before operation,patients were divided into single-vessel disease group(198 cases),double-vessel disease group(134 cases)and multi-vessel disease group(18 cases).The levels of serum CML,HB-EGF and DPP-4 were detected.The pa-tients were followed up for 1 year after PCI,according to whether ISR occurred,patients were divided into ISR group(65 cases)and non-ISR group(285 cases).The risk factors of ISR after PCI in patients with CHD com-bine with T2DM were analyzed by multivariate Logistic regression,the risk nomogram prediction model was constructed,the predictive efficacy of the prediction model for ISR after PCI in patients with CHD combine with T2DM was analyzed by receiver operating characteristic(ROC)curve.Results The levels of serum CML,HB-EGF and DPP-4 in multi-vessel disease group were significantly higher than those in double-vessel disease group and single-vessel disease group(P＜0.05),and those in double-vessel disease group were higher than those in single-vessel disease group(P＜0.05).The serum levels of CML,HB-EGF and DPP-4 in ISR group were higher than those in non-ISR group(P＜0.05).High SYNTAX score,high CML,HB-EGF and DPP-4 levels were independent risk factors for ISR after PCI in patients with CHD combine with T2DM(P＜0.05).The results of ROC curve analysis showed that the area under the curve of SYNTAX score,CML,HB-EGF,DPP-4 levels and nomogram prediction model were 0.806,0.644,0.760,0.769 and 0.931,respectively.The nomogram prediction model was verified by Bootstrap method(B=1 000),the bias-corrected curve was basically coincident with the ideal line,and concordance index was 0.863,indicating that the model had good prediction ability.The decision curve showed that the threshold probability range of the model was 0.01-0.93,and its net return rate was＞0,which was higher than the two invalid lines.Conclusion Serum CML,HB-EGF and DPP-4 levels are related to coronary artery lesions and ISR after PCI in patients with CHD com-bine with T2DM.The constructed nomogram prediction model has a good predictive value for ISR after PCI.
