• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种预测急性肾损伤(AKI)患者成功停止肾脏替代治疗(RRT)的临床模型。

A clinical model to predict successful renal replacement therapy (RRT) discontinuation in patients with Acute Kidney Injury (AKI).

机构信息

Nephrology Department, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil.

Nephrology Department, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil; Nephrology Department, Prince of Wales Clinical School ‒ UNSW Medicine & Health, Sydney, Australia.

出版信息

Clinics (Sao Paulo). 2023 Sep 8;78:100280. doi: 10.1016/j.clinsp.2023.100280. eCollection 2023.

DOI:10.1016/j.clinsp.2023.100280
PMID:37690142
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10497780/
Abstract

INTRODUCTION

Ideal timing of Renal Replacement Therapy (RRT) discontinuation in Acute Kidney Injury (AKI) is still unknown. We aimed to study the role of creatinine-related variables in predicting RRT successful discontinuation and to propose a clinical predictive score.

METHODS

In this single-centre retrospective study, we evaluated all AKI patients in whom RRT was interrupted for at least 48 hours. Patients who were still RRT-independent 7 days after initial RRT cessation were included in the "Success" group and opposed to the "Failure" group. We evaluated baseline characteristics and variables collected at the time of RRT interruption, as well as the Kinetic estimated Glomerular Filtration Rate (KeGFR), the simple variation in serum Creatinine (ΔsCr), and the incremental creatinine ratio on the first three days after RRT interruption. Multivariable analysis was performed to evaluate prediction of success. Internal validation using a simple binomial generalized regression model with Lasso estimation and 5-fold cross validation method was performed.

RESULTS

We included 124 patients, 49 in the "Failure" group and 75 in the "Success" group. All creatinine-related variables predicted success in simple and multiple logistic regression models. The best model generated a clinical score based on the odds ratio obtained for each variable and included urine output, non-renal SOFA score, fluid balance, serum urea, serum potassium, blood pH, and the variation in sCr values after RRT discontinuation. The score presented an area under the ROC of 0.86 (95% CI 0.76‒1.00).

CONCLUSION

Creatinine variation between the first 2 consecutive days after RRT discontinuation might predict success in RRT discontinuation. The developed clinical score based on these variables might be a useful clinical decision tool to guide hemodialysis catheter safe removal.

摘要

简介

急性肾损伤(AKI)中肾脏替代治疗(RRT)停止的理想时机仍不清楚。我们旨在研究肌酐相关变量在预测 RRT 成功停止中的作用,并提出一个临床预测评分。

方法

在这项单中心回顾性研究中,我们评估了所有中断 RRT 至少 48 小时的 AKI 患者。在初始 RRT 停止后 7 天仍无需 RRT 的患者被纳入“成功”组,与“失败”组相对。我们评估了 RRT 中断时的基线特征和变量,以及 Kinetic 估计肾小球滤过率(KeGFR)、血清肌酐的简单变化(ΔsCr)和 RRT 中断后前三天的肌酐增量比。进行多变量分析以评估成功的预测。使用带有 Lasso 估计和 5 折交叉验证方法的简单二项式广义回归模型进行内部验证。

结果

我们纳入了 124 名患者,其中 49 名在“失败”组,75 名在“成功”组。所有与肌酐相关的变量在简单和多变量逻辑回归模型中均预测了成功。最佳模型基于每个变量的优势比生成了一个临床评分,并包括尿量、非肾 SOFA 评分、液体平衡、血清尿素、血清钾、血液 pH 值以及 RRT 停止后 sCr 值的变化。该评分的 ROC 曲线下面积为 0.86(95%CI 0.76-1.00)。

结论

RRT 停止后前 2 天肌酐的变化可能预测 RRT 停止的成功。基于这些变量开发的临床评分可能是指导血液透析导管安全移除的有用临床决策工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8456/10497780/d36f01edaae4/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8456/10497780/7161685c7ea5/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8456/10497780/51a49188f4d0/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8456/10497780/92407649ab06/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8456/10497780/d36f01edaae4/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8456/10497780/7161685c7ea5/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8456/10497780/51a49188f4d0/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8456/10497780/92407649ab06/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8456/10497780/d36f01edaae4/gr4.jpg

相似文献

1
A clinical model to predict successful renal replacement therapy (RRT) discontinuation in patients with Acute Kidney Injury (AKI).一种预测急性肾损伤(AKI)患者成功停止肾脏替代治疗(RRT)的临床模型。
Clinics (Sao Paulo). 2023 Sep 8;78:100280. doi: 10.1016/j.clinsp.2023.100280. eCollection 2023.
2
Discontinuation of renal replacement therapy in critically ill patients with severe acute kidney injury: predictive factors of renal function recovery.重症急性肾损伤危重症患者肾脏替代治疗的终止:肾功能恢复的预测因素
Int Urol Nephrol. 2018 Oct;50(10):1845-1851. doi: 10.1007/s11255-018-1947-1. Epub 2018 Aug 2.
3
Predictors of short-term successful discontinuation of continuous renal replacement therapy: results from a prospective multicentre study.连续性肾脏替代治疗短期成功撤机的预测因素:一项前瞻性多中心研究的结果
BMC Nephrol. 2019 Apr 15;20(1):129. doi: 10.1186/s12882-019-1327-9.
4
Predictive Factors Upon Discontinuation of Renal Replacement Therapy for Long-Term Chronic Dialysis and Death in Acute Kidney Injury Patients.急性肾损伤患者长期慢性透析及死亡的肾脏替代治疗终止的预测因素
Artif Organs. 2017 Dec;41(12):1127-1134. doi: 10.1111/aor.12927. Epub 2017 May 23.
5
Determining the optimal time for liberation from renal replacement therapy in critically ill patients: a systematic review and meta-analysis (DOnE RRT).确定危重症患者肾脏替代治疗撤机的最佳时机:一项系统评价与荟萃分析(DOnE RRT)
Crit Care. 2020 Feb 13;24(1):50. doi: 10.1186/s13054-020-2751-8.
6
Biomarkers upon discontinuation of renal replacement therapy predict 60-day survival and renal recovery in critically ill patients with acute kidney injury.肾脏替代治疗中断时的生物标志物可预测急性肾损伤危重症患者的60天生存率和肾功能恢复情况。
Hemodial Int. 2018 Jan;22(1):56-65. doi: 10.1111/hdi.12532. Epub 2017 Jan 11.
7
[Risk factors analysis of renal replacement therapy after liver transplantation and prognosis effect of initial treatment time].[肝移植术后肾脏替代治疗的危险因素分析及初始治疗时间的预后影响]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2018 Nov;30(11):1056-1060. doi: 10.3760/cma.j.issn.2095-4352.2018.011.009.
8
Electronic health records accurately predict renal replacement therapy in acute kidney injury.电子健康记录能准确预测急性肾损伤患者的肾脏替代治疗。
BMC Nephrol. 2019 Jan 31;20(1):32. doi: 10.1186/s12882-019-1206-4.
9
Different Roles of Functional and Structural Renal Markers Measured at Discontinuation of Renal Replacement Therapy for Acute Kidney Injury.急性肾损伤肾脏替代治疗停止时测定的功能性和结构性肾标志物的不同作用。
Blood Purif. 2023;52(9-10):786-792. doi: 10.1159/000532034. Epub 2023 Sep 27.
10
Uplift modeling to predict individual treatment effects of renal replacement therapy in sepsis-associated acute kidney injury patients.提升模型预测脓毒症相关性急性肾损伤患者肾替代治疗的个体治疗效果。
Sci Rep. 2024 Mar 10;14(1):5833. doi: 10.1038/s41598-024-55653-x.

引用本文的文献

1
Continuous Renal Replacement Therapy in Critically-Ill Term and Preterm Newborns: A Single-Center Study in Belgrade.危重新生足月儿和早产儿的持续肾脏替代治疗:贝尔格莱德的一项单中心研究
Children (Basel). 2025 Jun 23;12(7):828. doi: 10.3390/children12070828.
2
Liberation from continuous renal replacement therapy due to renal recovery in adults and children: a literature review and Delphi consensus on clinical practice.成人和儿童因肾功能恢复而脱离持续肾脏替代治疗:文献综述与临床实践的德尔菲共识
Crit Care. 2025 Jul 8;29(1):287. doi: 10.1186/s13054-025-05517-1.
3
Factors and machine learning models for predicting successful discontinuation of continuous renal replacement therapy in critically ill patients with acute kidney injury: a retrospective cohort study based on MIMIC-IV database.

本文引用的文献

1
Personalization of renal replacement therapy initiation: a secondary analysis of the AKIKI and IDEAL-ICU trials.个体化肾脏替代治疗起始时机:AKIKI 和 IDEAL-ICU 试验的二次分析。
Crit Care. 2022 Mar 21;26(1):64. doi: 10.1186/s13054-022-03936-y.
2
Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients.发现用于预测透析依赖型 AKI 患者肾脏恢复的新型蛋白质组学生物标志物。
Kidney360. 2021 Nov 25;2(11):1716-1727. doi: 10.34067/KID.0002642021.
3
New Creatinine- and Cystatin C-Based Equations to Estimate GFR without Race.
基于 MIMIC-IV 数据库的回顾性队列研究:预测急性肾损伤危重症患者连续肾脏替代治疗成功停药的因素和机器学习模型。
BMC Nephrol. 2024 Nov 12;25(1):407. doi: 10.1186/s12882-024-03844-z.
4
Risk prediction models for successful discontinuation in acute kidney injury undergoing continuous renal replacement therapy.接受持续肾脏替代治疗的急性肾损伤患者成功停药的风险预测模型。
iScience. 2024 Jun 27;27(8):110397. doi: 10.1016/j.isci.2024.110397. eCollection 2024 Aug 16.
新型基于肌酐和胱抑素 C 的估算肾小球滤过率方程,无需考虑种族因素。
N Engl J Med. 2021 Nov 4;385(19):1737-1749. doi: 10.1056/NEJMoa2102953. Epub 2021 Sep 23.
4
The kinetic estimated glomerular filtration rate ratio predicts acute kidney injury.动力学估算肾小球滤过率比值预测急性肾损伤。
Nephrology (Carlton). 2021 Oct;26(10):782-789. doi: 10.1111/nep.13918. Epub 2021 Jul 20.
5
Kinetic Glomerular Filtration Rate Equations in Patients With Shock: Comparison With the Iohexol-Based Gold-Standard Method.休克患者的动力学肾小球滤过率方程:与碘海醇为基础的金标准方法比较。
Crit Care Med. 2021 Aug 1;49(8):e761-e770. doi: 10.1097/CCM.0000000000004946.
6
Urine neutrophil gelatinase-associated lipocalin and urine output as predictors of the successful discontinuation of continuous renal replacement therapy in critically ill patients with acute kidney injury.尿中性粒细胞明胶酶相关载脂蛋白和尿量作为预测急性肾损伤危重症患者连续肾脏替代治疗成功撤机的指标。
BMC Nephrol. 2020 Aug 28;21(1):375. doi: 10.1186/s12882-020-02035-w.
7
Timing of Initiation of Renal-Replacement Therapy in Acute Kidney Injury.急性肾损伤中肾脏替代治疗的启动时机。
N Engl J Med. 2020 Jul 16;383(3):240-251. doi: 10.1056/NEJMoa2000741.
8
Determining the optimal time for liberation from renal replacement therapy in critically ill patients: a systematic review and meta-analysis (DOnE RRT).确定危重症患者肾脏替代治疗撤机的最佳时机:一项系统评价与荟萃分析(DOnE RRT)
Crit Care. 2020 Feb 13;24(1):50. doi: 10.1186/s13054-020-2751-8.
9
The value of kinetic glomerular filtration rate estimation on medication dosing in acute kidney injury.动力学肾小球滤过率估计在急性肾损伤药物剂量调整中的价值。
PLoS One. 2019 Nov 26;14(11):e0225601. doi: 10.1371/journal.pone.0225601. eCollection 2019.
10
Predictors of short-term successful discontinuation of continuous renal replacement therapy: results from a prospective multicentre study.连续性肾脏替代治疗短期成功撤机的预测因素:一项前瞻性多中心研究的结果
BMC Nephrol. 2019 Apr 15;20(1):129. doi: 10.1186/s12882-019-1327-9.