首页|基于随机生存森林的动静脉内瘘晚期失功预后因素研究

基于随机生存森林的动静脉内瘘晚期失功预后因素研究

Research on the prognostic factors of arteriovenous fistula late failure based on the random survival forest

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目的 基于随机生存森林(RSF)探讨维持性血液透析(MHD)患者动静脉内瘘(AVF)晚期失功的预后因素.方法 选取2018年10月至2022年6月在广西中医药大学第一附属医院首次行AVF术的156例MHD患者作为随访研究对象,根据随访期间患者是否发生终点事件分成内瘘通畅组(116例)和内瘘失功组(40例),研究AVF晚期失功的预后因素.结果 RSF结果显示动静脉内瘘晚期失功的预后因素依次为血小板计数、甘油三酯、纤维蛋白原、年龄、白蛋白、血钙、D-二聚体及C反应蛋白.Cox比例风险回归模型结果显示血小板计数(HR1.02,95%CI 1.012~1.030,P<0.001)及血钙(HR8.84,95%CI 1.186~65.840,P=0.034)为AVF晚期失功的独立影响因素.根据Brier分数绘制的预测误差曲线可知RSF的预测性能总体上优于Cox比例风险回归模型.通过RSF-Cox模型最终确定有效预后因素为血小板计数、甘油三酯、纤维蛋白原、年龄、白蛋白、血钙.结论 RSF在分析动静脉内瘘晚期失功预后因素中有着良好的选择能力,本研究构建的RSF模型可帮助临床医师识别具有高危因素的患者并进行对症干预,便于加强内瘘护理和及时干预以延长AVF使用时间.
Objective To explore prognostic factors of arteriovenous fistula(AVF)late failure in patients on maintenance hemodialysis based on random survival forest(RSF).Methods Select 156 patients on maintenance hemodialysis(MHD)who first received AVF in the First Affiliated Hospital of Guangxi University of Traditional Chinese Medicine from October 2018 to June 2022 as the research subjects.According to whether arteriovenous fistula late failure occurred,patients were divided into patency group(n=1 16)and failure group(n=40);explore the prognostic factors of AVF late failure.Results According to random survival forest results,the prognostic risk factors of arteriovenous fistula late failure were platelet count,triglyceride,fibrin,age,albumin,blood calcium,D-dimer and C reactive protein.The results of the Cox regression model showed that platelet counts(HR 1.02,95%CI 1.012-1.030,P<0.001)and blood calcium(HR 8.84,95%CI 1.186-65.840,P=0.034)were independent influence factors of arteriovenous fistula late failure.According to the error prediction curve drawn by Brier score,the prediction performance of RSF was generally better than the Cox regression model.The effective prognostic factors determined by RSF-Cox model were platelet count,triglyceride,fibrin,age,albumin and blood calcium.Conclusion The random survival forest model has good selectability in the analysis of prognostic factors of arteriovenous fistula late failure.The random survival forest model established in this study can help clinicians identify patients with high-risk factors and carry out symptomatic intervention,which facilitates nursing and timely intervention to extend the use time of AVF.

random survival forestCox regression modelarteriovenous fistulalate failuremaintenance hemodialysis

翁雪莹、吴慧敏、陈宇珊、左金巾、罗芳、钟建

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广西中医药大学研究生院,广西南宁 530001

广西中医药大学第一附属医院肾病科,广西南宁 530023

随机生存森林 Cox比例风险回归模型 动静脉内瘘 晚期失功 维持性血液透析

国家自然科学基金地区科学基金

81760807

2024

中国实用内科杂志
中国医师协会,中国实用医学杂志社

中国实用内科杂志

CSTPCD北大核心
影响因子:1.618
ISSN:1005-2194
年,卷(期):2024.44(3)
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