China-PAR评估为高危的急性冠脉综合征患者PCI术后再入院模型的建立与验证
Establishment and Validation of China-PAR for Evaluation of Readmission Model in Patients with Acute Coronary Syndrome after PCI
DOI: 10.12677/ACM.2021.1111826, PDF,   
作者: 任雪萌*, 李 喆, 金睿杰:青岛大学,山东 青岛;尹 磊#:青岛大学附属医院,山东 青岛
关键词: 急性冠脉综合征PCI再入院列线图Acute Coronary Syndrome PCI Readmission China-PAR Line
摘要: 目的:China-PAR模型已被推荐用于评估CVD 10年发病风险,但能否用于预测急性冠脉综合征患者的不良心血管事件仍不确定,本研究目前调查China-PAR模型与急性冠脉综合征PCI术后患者再入院的关系。方法:回顾性收集我院急诊科2018年至2020年因急性冠脉综合征行冠脉介入治疗且符合入组标准的患者共343例,根据收集的基本资料进行China-PAR模型并结合基线资料,采用多因素Logistic回归模型分析急性冠脉综合征患者PCI术后再入院影响因素,使用Bootstrap法自抽样1000次进行内部验证,并绘制校准曲线。结果:年龄、性别、China-PAR、病变血管支数、糖尿病、高血压、心梗类型、Gensini评分分级、低密度脂蛋白是影响急性冠脉综合征PCI术后患者再入院的独立危险因素。将上述9个独立影响因素作为预测指标,构建高危的急性冠脉综合征患者PCI术后再入院模型,并进行内部验证,显示实际曲线与理想曲线的吻合度较好。结论:China-PAR模型是影响ACS患者PCI术后再入院的独立危险因素。
Abstract: Objectives: The China-PAR score has been recommended to assess the 10-year risk of CVD, but whether it can be used to predict adverse cardiovascular events in patients with acute coronary syndrome remains uncertain, and the current investigation of this study investigated the relationship between China-PAR score and readmission in patients with acute coronary syndrome after PCI. Methods: A total of 343 patients with acute coronary syndrome who underwent percutaneous coronary intervention (PCI) in our emergency department from 2018 to 2020 and met the criteria were retrospectively collected. China-PAR score was performed according to the collected basic data and combined with baseline data. Multivariate logistic regression model was used to analyze the influencing factors of readmission after PCI in patients with acute coronary syndrome. Bootstrap method was used to conduct internal validation by self-sampling for 1000 times, and the calibration curve was drawn. Results: Age, gender, China-PAR, number of diseased vessels, diabetes, hypertension, type of myocardial infarction, Gensini score grade, and low-density lipoprotein were independent risk factors for readmission in patients with acute coronary syndrome after PCI. The above 9 independent influencing factors were used as predictors to construct a readmission model for patients with acute coronary syndrome after PCI, and internal validation was performed, showing that the actual curve was in good agreement with the ideal curve. Conclusion: China-PAR model is an independent risk factor for readmission after PCI in ACS patients.
文章引用:任雪萌, 李喆, 金睿杰, 尹磊. China-PAR评估为高危的急性冠脉综合征患者PCI术后再入院模型的建立与验证[J]. 临床医学进展, 2021, 11(11): 5568-5577. https://doi.org/10.12677/ACM.2021.1111826

参考文献

[1] Pilgrim, T., et al. (2016) Risk and Timing of Recurrent Ischemic Events among Patients with Stable Ischemic Heart Disease, Non-ST-Segment Elevation Acute Coronary Syndrome, and ST-Segment Elevation Myocardial Infarction. American Heart Journal, 175, 56-65. [Google Scholar] [CrossRef] [PubMed]
[2] O’Gara, P.T., et al. (2013) 2013 ACCF/AHA Guideline for the Management of ST-Elevation Myocardial Infarction: Executive Summary: A Report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. Circulation, 127, 529-555. [Google Scholar] [CrossRef
[3] Yang, X., et al. (2016) Predicting the 10-Year Risks of Atherosclerotic Cardiovascular Disease in Chinese Population: The China-PAR Project (Prediction for ASCVD Risk in China). Circulation, 134, 1430-1440. [Google Scholar] [CrossRef
[4] 中国心血管病风险评估和管理指南编写联合委员会. 中国心血管病风险评估和管理指南[J]. 中华预防医学杂志, 2019, 53(1): 13-35.
[5] Roth, G.A., et al. (2017) Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015. Journal of the American College of Cardiology, 70, 1-25. [Google Scholar] [CrossRef] [PubMed]
[6] Frangogiannis, N.G. (2012) Regulation of the Inflammatory Response in Cardiac Repair. Circulation Research, 110, 159-173. [Google Scholar] [CrossRef
[7] de Araújo Gonçalves, P., et al. (2005) TIMI, PURSUIT, and GRACE Risk Scores: Sustained Prognostic Value and Interaction with Revascularization in NSTE-ACS. European Heart Journal, 26, 865-872. [Google Scholar] [CrossRef] [PubMed]
[8] Fox, K.A., et al. (2006) Prediction of Risk of Death and Myocardial Infarction in the Six Months after Presentation with Acute Coronary Syndrome: Prospective Multinational Observational Study (GRACE). BMJ, 333, 1091. [Google Scholar] [CrossRef] [PubMed]
[9] 孙照阳, 等. 四种不同风险评估模型评估贵阳地区40岁以上人群10年心血管疾病风险的研究[J]. 贵州医药, 2018, 42(8): 1007-1010.
[10] 唐迅, 等. China-PAR模型在北方农村人群中预测动脉粥样硬化性心血管疾病发病风险的应用[J]. 北京大学学报(医学版), 2017, 49(3): 439-445.
[11] 马孝湘, 等. China-PAR模型与Framingham危险评分对中国绝经后女性健康体检人群心血管疾病风险评估的比较研究[J]. 临床心血管病杂志, 2021, 37(1): 38-41.
[12] 唐迅, 等, China-PAR脑卒中模型在北方农村人群中预测脑卒中发病风险的应用[J]. 北京大学学报(医学版), 2020, 52(3): 444-450.
[13] 王庭俊, 等. 两种模型预测的心血管病发病风险与动脉僵硬度的相关性[J]. 中华高血压杂志, 2020, 28(8): 736-743.
[14] Bekler, A., et al. (2015) The Relationship between Fragmented QRS Complexes and SYNTAX and Gensini Scores in Patients with Acute Coronary Syndrome. Kardiologia Polska, 73, 246-254. [Google Scholar] [CrossRef
[15] Vaidya, K. and Tucker, B. (2021) Acute Coronary Syndromes (ACS)-Unravelling Biology to Identify New Therapies—The Microcirculation as a Frontier for New Therapies in ACS. Cells, 10, 2188. [Google Scholar] [CrossRef] [PubMed]