PTH Predicts the in-Hospital MACE After Primary Percutaneous Coronary Intervention for Acute ST-Segment Elevation Myocardial Infarction.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Zu-Fei Wu, Wen-Tao Su, Shi Chen, Bai-Da Xu, Gang-Jun Zong, Cun-Ming Fang, Zheng Huang, Xue-Jun Hu, Gang-Yong Wu, Xiao-Lin Ma
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Abstract

Objective: To investigate the correlation between serum parathyroid hormone (PTH) levels and in-hospital major adverse cardiovascular events (MACE) in patients with acute ST-segment elevation myocardial infarction (STEMI) after primary percutaneous coronary intervention (PCI), and establish a risk prediction model based on parameters such as PTH for in-hospital MACE.

Methods: This observational retrospective study consecutively enrolled 340 patients who underwent primary PCI for STEMI between January 2016 and December 2020, divided into a MACE group (n=92) and a control group (n=248). The least absolute shrinkage and selection operator (LASSO) and logistic regression analyses were used to determine the risk factors for MACE after primary PCI. The rms package in R-studio statistical software was used to construct a nomogram, to detect the line chart C-index, and to draw a calibration curve. The decision curve analysis (DCA) method was used to evaluate the clinical application value and net benefit.

Results: Correlation analysis revealed that PTH level positively correlated with the occurrence of in-hospital MACE. Receiver operating characteristic curve analyses revealed that PTH had a good predictive value for in-hospital MACE. Multivariate logistic regression analysis indicated that Killip class II-IV, and FBG were independently associated with in-hospital MACE after primary PCI. A nomogram model was constructed using the above parameters. The model C-index was 0.894 and the calibration curve indicated that the model was well calibrated. The DCA curve suggested that the nomogram model was better than TIMI score model in terms of net clinical benefit.

Conclusion: Serum PTH levels in patients with STEMI are associated with in-hospital MACE after primary PCI, and the nomogram risk prediction model based on PTH demonstrated good predictive ability with obvious clinical practical value.

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PTH预测急性st段抬高型心肌梗死经皮冠状动脉介入治疗后住院MACE
目的:探讨急性st段抬高型心肌梗死(STEMI)患者首次经皮冠状动脉介入治疗(PCI)后血清甲状旁腺激素(PTH)水平与院内主要不良心血管事件(MACE)的相关性,建立基于PTH等参数的院内主要不良心血管事件风险预测模型。方法:本观察性回顾性研究连续招募了340例2016年1月至2020年12月间接受STEMI初级PCI治疗的患者,分为MACE组(n=92)和对照组(n=248)。最小绝对收缩和选择算子(LASSO)和逻辑回归分析用于确定初次PCI术后MACE的危险因素。利用R-studio统计软件中的rms包构建nomogram,检测折线图C-index,绘制校准曲线。采用决策曲线分析法(decision curve analysis, DCA)评价临床应用价值和净效益。结果:相关分析显示PTH水平与院内MACE的发生呈正相关。患者工作特征曲线分析显示PTH对院内MACE有较好的预测价值。多因素logistic回归分析显示,Killip II-IV级、FBG与初次PCI术后院内MACE独立相关。利用上述参数构建了nomogram模型。模型c指数为0.894,校正曲线表明模型校正良好。DCA曲线显示nomogram模型在净临床获益方面优于TIMI评分模型。结论:STEMI患者血清PTH水平与初次PCI术后住院MACE相关,基于PTH的nomogram风险预测模型具有较好的预测能力,具有明显的临床实用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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