文章摘要
魏会强,李海宁,郝秀玲,马志敏,柴永娜.特发性肺纤维化患者血清血管生成素-2、潜在转化生长因子结合蛋白2、趋化因子配体14水平与预后的关系研究[J].,2022,(7):1301-1305
特发性肺纤维化患者血清血管生成素-2、潜在转化生长因子结合蛋白2、趋化因子配体14水平与预后的关系研究
Relationship Study between Serum Angiopoietin 2, Potential Transforming Growth Factor Binding Protein 2, Chemokine Ligand 14 and Prognosis in Patients with Idiopathic Pulmonary Fibrosis
投稿时间:2021-11-08  修订日期:2021-11-30
DOI:10.13241/j.cnki.pmb.2022.07.022
中文关键词: 特发性肺纤维化  血管生成素-2  潜在转化生长因子结合蛋白2  趋化因子配体14  预后
英文关键词: Idiopathic pulmonary fibrosis  Angiopoietin 2  Potential transforming growth factor binding protein 2  Chemokine ligand 14  Prognosis
基金项目:河北省科技计划项目(17277790D)
作者单位E-mail
魏会强 河北医科大学第二医院东院区呼吸内科 河北 石家庄 050000 weihuiqiang3708@163.com 
李海宁 河北医科大学第二医院东院区呼吸内科 河北 石家庄 050000  
郝秀玲 河北医科大学第二医院东院区呼吸内科 河北 石家庄 050000  
马志敏 河北医科大学第二医院东院区呼吸内科 河北 石家庄 050000  
柴永娜 河北医科大学第二医院东院区呼吸内科 河北 石家庄 050000  
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中文摘要:
      摘要 目的:研究特发性肺纤维化(IPF)患者血清血管生成素-2(Ang-2)、潜在转化生长因子结合蛋白2(LTBP2)、趋化因子配体14(CXCL14)水平与预后的关系。方法:选取2019年3月~2020年3月河北医科大学第二医院东院区呼吸内科收治的100例IPF患者作为研究对象。将其按照随访结局分成预后不良组59例及预后良好组41例。比较两组Ang-2、LTBP2、CXCL14水平、肺功能指标、实验室指标以及一般资料,Pearson相关分析血清Ang-2、LTBP2、CXCL14水平与肺功能指标的相关性,多因素Logistic回归分析IPF患者预后的影响因素,受试者工作特征(ROC)曲线分析Ang-2、LTBP2、CXCL14对IPF患者预后的预测价值。结果:预后不良组血清Ang-2、LTBP2、CXCL14水平均高于预后良好组(P<0.05)。预后不良组第1s用力呼气容积(FVC1)、一氧化碳弥散量占预计值百分比(DLCO%)、动脉血氧分压(PaO2)/氧体积分数(FiO2)均低于预后良好组,而吸烟史、肺动脉高压人数占比高于预后不良组(P<0.05)。Pearson相关性分析显示:IPF患者Ang-2、LTBP2、CXCL14水平均和FVC1、DLCO%呈负相关(P<0.05)。多因素Logistic回归分析结果显示:FVC1、DLCO%、PaO2/FiO2、吸烟史、肺动脉高压以及血清Ang-2、LTBP2、CXCL14水平是IPF患者预后不良的影响因素(P<0.05)。ROC曲线分析结果显示:血清Ang-2、LTBP2、CXCL14三项联合检测预测IPF患者预后的曲线下面积高于上述三项指标单独检测。结论:IPF患者血清Ang-2、LTBP2、CXCL14水平与其预后密切相关,可作为评估其预后的辅助性指标。
英文摘要:
      ABSTRACT Objective: To study the relationship between serum angiopoietin 2 (Ang-2), potential transforming growth factor binding protein 2 (LTBP2), chemokine ligand 14 (CXCL14) and prognosis in patients with idiopathic pulmonary fibrosis (IPF). Methods: A total of 100 patients with IPF admitted to the Department of Respiratory Medicine, East Hospital of the Second Hospital of Hebei Medical University from March 2019 to March 2020 were selected as the study subjects. According to the follow-up results, they were divided into 59 cases in the poor prognosis group and 41 cases in the good prognosis group. The levels of Ang-2, LTBP2 and CXCL14, lung function indexes, laboratory indexes and baseline data were compared between the two groups. Pearson correlation analysis was used to analyze the correlation between the levels of Ang-2, LTBP2 and CXCL14 and lung function. Multivariate logistic regression analysis was used to analyze the factors affecting the prognosis of patients with IPF. Receiver operating characteristic (ROC) curve was used to analyze the predictive value of Ang-2, LTBP2 and CXCL14 on the prognosis of patients with IPF. Results: The levels of Ang-2, LTBP2 and CXCL14 in the poor prognosis group were higher than those in the good prognosis group (P<0.05). The forced expiratory volume at 1 s(FVC1), the percentage of carbon monoxide dispersion in the predicted value (DLCO%) and arterial partial pressure of oxygen (PaO2) / oxygen volume fraction (FiO2) in the poor prognosis group were lower than those in the good prognosis group, while the proportion of smoking history and pulmonary hypertension was higher than those in the poor prognosis group (P<0.05). Pearson correlation analysis showed that Ang-2, LTBP2 and CXCL14 levels were negatively correlated with FVC1 and DLCO% in IPF patients (P<0.05). Multivariate Logistic regression analysis showed that FVC1, DLCO%, PaO2/FiO2, smoking history, pulmonary hypertension and serum Ang-2, LTBP2 and CXCL14 levels were the influencing factors for poor prognosis of IPF patients (P<0.05). ROC curve analysis showed that the area under curve of Ang-2, LTBP2 and CXCL14 in predicting the poor prognosis of patients with IPF was higher than that of the above three indexes. Conclusion: The levels of serum Ang-2, LTBP2 and CXCL14 in patients with IPF are closely related to the prognosis, which can be used as an auxiliary index for early monitoring the prognosis.
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