Construction of a coagulation prediction model of the extracorporeal circulation circuit during hemodialysis with regional citrate anticoagulant (RCA).

IF 1.4 4区 医学 Q4 ENGINEERING, BIOMEDICAL
Yanyan Gong, Menglin Zou, Laimin Luo
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引用次数: 0

Abstract

Objective: To construct a prediction model of coagulation in the extracorporeal circulation circuit during hemodialysis with regional citrate anticoagulant(RCA) conditions.

Methods: This was a single-center, retrospective study. The clinical data of patients who received hemodialysis with RCA from February 2021 to March 2022 were collected. The risk predictors of coagulation in the extracorporeal circulation circuit were screened by LASSO regression. On this basis, we used multivariate logistic regression analysis to establish a nomogram prediction model.

Results: A total of 98 patients received RCA hemodialysis for 362 times. Among them, 155 treatments with complete data were included in the study. Among the 155 treatments, coagulation of the extracorporeal circulation circuit occurred 12 times. The use of arteriovenous fistulas(AVF), the venous pressure at 4 h after hemodialysis initiation, blood flow velocity, dialyzer manufacturer, Systemic iCa2+ at 1 h after hemodialysis initiation, plasma albumin level, and plasma d-dimer level were influencing factors of coagulation in the extracorporeal circuit during hemodialysis with RCA (p < 0.05). A nomogram model was made out of the above indicators. The area under the receiver operating characteristic (ROC) curve for predicting coagulation in the circuit was 0.967 (95% CI: 0.935-0.998). The internal validation result of the memory testing (bootstrap method) showed that the area under the ROC curve was 0.967 (95% CI: 0.918-0.991).

Conclusion: The nomogram model has good discrimination and calibration and can intuitively and succinctly predict the risk of coagulation in the extracorporeal circulation circuit during hemodialysis with RCA.

在使用区域性枸橼酸抗凝剂(RCA)进行血液透析期间,构建体外循环回路的凝血预测模型。
目的构建区域性枸橼酸抗凝剂(RCA)条件下血液透析过程中体外循环回路凝血功能的预测模型:这是一项单中心回顾性研究。收集了 2021 年 2 月至 2022 年 3 月期间接受 RCA 血液透析患者的临床数据。通过 LASSO 回归筛选出体外循环回路中凝血的风险预测因素。在此基础上,我们采用多变量逻辑回归分析建立了一个提名图预测模型:共有 98 名患者接受了 362 次 RCA 血液透析。结果:共有 98 名患者接受了 362 次 RCA 血液透析,其中 155 次治疗数据完整。在这 155 次治疗中,体外循环回路凝结发生了 12 次。使用动静脉内瘘(AVF)、血液透析开始后4小时的静脉压、血流速度、透析器制造商、血液透析开始后1小时的全身iCa2+、血浆白蛋白水平和血浆d-二聚体水平是使用RCA进行血液透析时体外循环发生凝血的影响因素(p 结论:该研究发现,血流速度、透析器制造商、血浆白蛋白水平和血浆d-二聚体水平是体外循环发生凝血的影响因素(p 结论:该研究发现,血流速度、透析器制造商、血浆白蛋白水平和血浆d-二聚体水平是体外循环发生凝血的影响因素(p 结论):该提名图模型具有良好的识别性和校准性,可直观、简洁地预测血液透析加 RCA 时体外循环回路中的凝血风险。
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
International Journal of Artificial Organs
International Journal of Artificial Organs 医学-工程:生物医学
CiteScore
3.40
自引率
5.90%
发文量
92
审稿时长
3 months
期刊介绍: The International Journal of Artificial Organs (IJAO) publishes peer-reviewed research and clinical, experimental and theoretical, contributions to the field of artificial, bioartificial and tissue-engineered organs. The mission of the IJAO is to foster the development and optimization of artificial, bioartificial and tissue-engineered organs, for implantation or use in procedures, to treat functional deficits of all human tissues and organs.
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