期刊文献+

血管钙化的影响因素及预测指标 被引量:2

Influencing factors and predictive indicators of vascular calcification
下载PDF
导出
摘要 目的分析血管钙化的预测因素,探究血管钙化的有效预测指标。方法回顾性分析河北医科大学第一医院血管外科2018年8月至2020年7月收治的患者467例,依据有无血管钙化分为病例组及对照组,并收集其临床资料。通过单因素及多因素Logistic回归分析血管钙化的影响因素,绘制受试者工作特征(receiver operating characteristic,ROC)曲线分析预测价值。结果467例中有血管钙化191例(40.9%),白蛋白/纤维蛋白原比值(OR值为0.725,95%CI 0.630~0.834,P<0.01)、纤维蛋白原降解产物(OR值为1.626,95%CI 1.086~2.433,P=0.018)、脂蛋白(OR值为1.003,95%CI 1.002~1.004,P<0.01)、高密度脂蛋白胆固醇(OR值为0.101,95%CI 0.016~0.630,P=0.014)、总胆固醇(OR值为4.009,95%CI 1.619~9.926,P<0.01)、低密度脂蛋白胆固醇(OR值为0.148,95%CI 0.042~0.517,P<0.01)为血管钙化的独立预测因素,其曲线下面积(area under the curve,AUC)分别为0.828、0.780、0.720、0.679、0.570、0.563。结论白蛋白/纤维蛋白原比值、纤维蛋白原降解产物、脂蛋白、高密度脂蛋白胆固醇、总胆固醇、低密度脂蛋白胆固醇为血管钙化的独立预测因素。白蛋白/纤维蛋白原比值、纤维蛋白原降解产物、脂蛋白有较好的预测血管钙化的能力,其中白蛋白/纤维蛋白原比值预测血管钙化的价值最高。 Objective To analyze the predictive factors of vascular calcification,and to explore its effective prediction indicators.Methods A retrospective analysis was performed in totally 467 vascular calcification patients admitted to the Department of Vascular Surgery,the First Hospital of Hebei Medical University from August 2018 to July 2020.Those patients were registered into case group and control group as whether with or without vascular calcification,and the clinical data were collected.Univariate and multivariate Logistic regression analysis were used to explore influencing factors of vascular calcification.Receiver operating characteristic(ROC)curve was drawn to analyze predictive value.Results In 467 cases,there were 191 cases(40.9%,191/467)with vascular calcification.The independent factors for predicting vascular calcification were albumin/fibrinogen ratio(OR=0.725,95%CI 0.630-0.834,P<0.01),fibrinogen degradation product(OR=1.626,95%CI 1.086-2.433,P=0.018),lipoprotein(OR=1.003,95%CI 1.002-1.004,P<0.01),high density lipoprotein-cholesterol(OR=0.101,95%CI 0.016-0.630,P=0.014),total cholesterol(OR=4.009,95%CI 1.619-9.926,P<0.01),low density lipoprotein-cholesterol(OR=0.148,95%CI 0.042-0.517,P<0.01),and the area under the curve(AUC)related the above parameters were 0.828,0.780,0.720,0.679,0.570,and 0.563,respectively.Conclusion The independent predictors for vascular calcification were albumin/fibrinogen ratio,fibrinogen degradation product,lipoprotein,high density lipoprotein-cholesterol,total cholesterol,low density lipoprotein-cholesterol,of which,albumin/fibrinogen ratio,fibrinogen degradation product and lipoprotein is better capable of predicting vascular calcification,and albumin/fibrinogen ratio has top advantageous value.
作者 郑丽华 杜润森 赵亚恒 刘鹏 Zheng Lihua;Du Runsen;Zhao Yaheng;Liu Peng(Department of Vascular Surgery,the First Hospital of Hebei Medical University,Shijiazhuang 050011,China;Department of Trauma emergency surgery,the First Hospital of Hebei Medical University,Shijiazhuang 050011,China;Graduate School,Hebei Medical University,Shijiazhuang 050011,China)
出处 《临床荟萃》 CAS 2022年第2期114-118,共5页 Clinical Focus
基金 河北省医学科学研究课题计划——肾衰患者血清肌腱蛋白-C与腹主动脉钙化的相关研究(20210959) 河北省科技厅课题——腔内介入治疗老年TASCII D型股腘动脉闭塞症重度缺血患者的中远期疗效分析(20377732D)。
关键词 血管钙化 白蛋白/纤维蛋白原比值 危险因素 ROC曲线 vascular calcification albumin/fibrinogen ratio risk factors ROC curve
  • 相关文献

参考文献1

共引文献10

同被引文献14

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部