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已发表论文

经皮冠状动脉介入治疗(PCI)后早发冠状动脉疾病患者血清 PDGF-C 和 TGF-β1 水平的变化:对主要不良心血管和脑血管事件(MACCE)的联合预测价值

 

Authors Liu H, Tan S, Zhao J, Lin X

Received 6 December 2024

Accepted for publication 4 April 2025

Published 30 April 2025 Volume 2025:18 Pages 2367—2377

DOI http://doi.org/10.2147/IJGM.S510456

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 5

Editor who approved publication: Dr Redoy Ranjan

Haide Liu,1,* Shanglang Tan,1,* Jiaxin Zhao,2 Xuejuan Lin3 

1Department of Cardiology, Guigang City People’s Hospital, Guigang, Guangxi, 537100, People’s Republic of China; 2Department of Ultrasound, Guigang City People’s Hospital, Guigang, Guangxi, 537100, People’s Republic of China; 3Department of Surgery, Guigang Maternal and Child Health Care Hospital, Guigang, Guangxi, 537100, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Shanglang Tan, Guigang City People’s Hospital, No. 1 Zhongshan Middle Road, Gangbei District, Guigang, Guangxi, 537100, People’s Republic of China, Email tanshanglang@21cn.com Haide Liu, Guigang City People’s Hospital, No. 1 Zhongshan Middle Road, Gangbei District, Guigang, Guangxi, 537100, People’s Republic of China, Email gcgo40@sina.com

Objective: This study evaluates dynamic changes in platelet derived growth factor C (PDGF-C) and transforming growth factor β 1 (TGF-β 1) levels after percutaneous coronary intervention (PCI) in patients with premature coronary artery disease (PCAD) and their combined predictive value for major adverse cardiac and cerebrovascular events (MACCE).
Methods: A total of 100 PCAD patients admitted to the hospital from July 2021 to July 2023 who had completed 2 years of follow-up were retrospectively selected as the research objects. The patients were divided into MACCE group and non-MACCE group according to the occurrence of MACCE. The changes of serum PDGF-C and TGF-β 1 levels were compared before operation, 1 year after operation and 2 years after operation. Cox regression was used to test the influencing factors. Receiver operating characteristic (ROC) curve was used to predict the predictive value. The decision curve was used to analyze the predicting value of serum PDGF-C and TGF-β 1.
Results: Compared with that before operation, serum PDGF-C levels increased, while TGF-β 1 levels decreased at 1 year and 2 years post-PCI (P< 0.05). The levels of hs-CRP, HDL-C, MPV and PDGF-C in the MACCE group were higher than those in the non-MACCE group, and the level of TGF-β 1 was lower than that in the non-MACCE group (P< 0.05). The hs-CRP, MPV and PDGF-C were identified as independent risk factors for MACCE (HR> 1, P< 0.05), and TGF-β 1 was identified as a protective factor (HR< 1, P< 0.05). The AUC of PDGF-C levels and TGF-β 1 levels n in predicting MACCE after PCI in PCAD patients were 0.796 and 0.837, respectively. Combined prediction has higher sensitivity and specificity than individual markers. The decision curve showed that within the threshold range of 0.141– 0.202 and 0.216– 0.998, the net return rate of the combination of PDGF-C and TGF-β 1 levels in predicting MACCE after PCI in PCAD patients was better than that of either alone.
Conclusion: hs-CRP, MPV, PDGF-C and TGF-β 1 were the influencing factors of MACCE in PCAD patients after PCI. Combined detection of PDGF-C and TGF- β 1 enhanced predictive accuracy for MACCE, offering potential value for risk stratification in PCAD patients post-PCI.

Keywords: premature coronary artery disease, major adverse cardiac and cerebrovascular events, biomarkers, prediction model, risk stratification of

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