Liu Haide, Tan Shanglang, Zhao Jiaxin, Lin Xuejuan
Department of Cardiology, Guigang City People's Hospital, Guigang, Guangxi, 537100, People's Republic of China.
Department of Ultrasound, Guigang City People's Hospital, Guigang, Guangxi, 537100, People's Republic of China.
Int J Gen Med. 2025 Apr 30;18:2367-2377. doi: 10.2147/IJGM.S510456. eCollection 2025.
This study evaluates dynamic changes in platelet derived growth factor C (PDGF-C) and transforming growth factor β1 (TGF-β1) 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).
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-β1 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-β1.
Compared with that before operation, serum PDGF-C levels increased, while TGF-β1 levels decreased at 1 year and 2 years post-PCI (<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-β1 was lower than that in the non-MACCE group (<0.05). The hs-CRP, MPV and PDGF-C were identified as independent risk factors for MACCE (>1, <0.05), and TGF-β1 was identified as a protective factor (<1, <0.05). The AUC of PDGF-C levels and TGF-β1 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-β1 levels in predicting MACCE after PCI in PCAD patients was better than that of either alone.
hs-CRP, MPV, PDGF-C and TGF-β1 were the influencing factors of MACCE in PCAD patients after PCI. Combined detection of PDGF-C and TGF- β1 enhanced predictive accuracy for MACCE, offering potential value for risk stratification in PCAD patients post-PCI.
本研究评估早发冠心病（PCAD）患者经皮冠状动脉介入治疗（PCI）后血小板衍生生长因子C（PDGF-C）和转化生长因子β1（TGF-β1）水平的动态变化及其对主要心脑血管不良事件（MACCE）的联合预测价值。
回顾性选取2021年7月至2023年7月入院且完成2年随访的100例PCAD患者作为研究对象。根据是否发生MACCE将患者分为MACCE组和非MACCE组。比较术前、术后1年和术后2年血清PDGF-C和TGF-β1水平的变化。采用Cox回归检验影响因素。采用受试者工作特征（ROC）曲线预测预测价值。采用决策曲线分析血清PDGF-C和TGF-β1的预测价值。
与术前相比，PCI术后1年和2年血清PDGF-C水平升高，而TGF-β1水平降低（<0.05）。MACCE组的hs-CRP、HDL-C、MPV和PDGF-C水平高于非MACCE组，TGF-β1水平低于非MACCE组（<0.05）。hs-CRP、MPV和PDGF-C被确定为MACCE的独立危险因素（>1，<0.05），TGF-β1被确定为保护因素（<1，<0.05）。PCAD患者PCI术后PDGF-C水平和TGF-β1水平预测MACCE的AUC分别为0.796和0.837。联合预测比单个标志物具有更高的敏感性和特异性。决策曲线显示，在0.141 - 0.202和0.216 - 0.998的阈值范围内，PCAD患者PCI术后PDGF-C和TGF-β1水平联合预测MACCE的净收益率优于单独使用任一指标。
hs-CRP、MPV、PDGF-C和TGF-β1是PCAD患者PCI术后MACCE的影响因素。联合检测PDGF-C和TGF-β1可提高MACCE的预测准确性，为PCAD患者PCI术后的风险分层提供潜在价值。
Zotero 插件
