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肌酐和胱抑素 C 定义的异质 ICU 人群中增强型肾脏清除率的预测因子。

Predictors of Augmented Renal Clearance in a Heterogeneous ICU Population as Defined by Creatinine and Cystatin C.

机构信息

Department of Pharmacy, Mayo Clinic, Rochester, Minnesota, USA,

Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA.

出版信息

Nephron. 2020;144(7):313-320. doi: 10.1159/000507255. Epub 2020 May 19.

Abstract

INTRODUCTION

The incidence of augmented renal clearance (ARC) in the intensive care unit (ICU) is highly variable, and identification of these patients remains challenging.

OBJECTIVE

The objective of this study was to define the incidence of ARC in a cohort of critically ill adults, using serum Cr and cystatin C, and to identify factors associated with its development.

METHODS

This is a retrospective cohort study of critically ill patients without stage 2 or 3 acute kidney injury with both serum Cr and cystatin C available. The incidence of ARC was defined as a Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI)Cr-cystatin C-estimated glomerular filtration rate >130 mL/min. A multivariable logistic regression model using a penalized Lasso method was fit to identify independent predictors of ARC.

RESULTS

Among the 368 patients included in the study, indication for ICU admission was nonoperative in 55% of patients, and 9% of patients were admitted for major trauma. The overall incidence of ARC was low at 4.1%. In a multivariable logistic regression model, Charlson comorbidity index, major trauma, intracerebral hemorrhage, age, and Sequential Organ Failure Assessment score were found to predict ARC.

CONCLUSION

The incidence of ARC in this study was low, but prediction models identified several factors for early identification of patients with risk factors for or who develop ARC, particularly in a cohort with a low baseline risk of ARC. These factors could be used to help identify patients who may develop ARC.

摘要

简介

在重症监护病房(ICU)中,增强的肾清除率(ARC)的发生率差异很大,识别这些患者仍然具有挑战性。

目的

本研究的目的是使用血清肌酐和胱抑素 C 来定义一组危重症成年人中 ARC 的发生率,并确定与 ARC 发展相关的因素。

方法

这是一项对无 2 期或 3 期急性肾损伤且血清 Cr 和胱抑素 C 均可用的危重症患者的回顾性队列研究。ARC 的发生率定义为慢性肾脏病流行病学合作(CKD-EPI)Cr-胱抑素 C-估计肾小球滤过率>130 mL/min。使用惩罚 Lasso 方法拟合多变量逻辑回归模型,以确定 ARC 的独立预测因素。

结果

在纳入的 368 例患者中,55%的患者 ICU 入住的原因为非手术,9%的患者因重大创伤而入住。ARC 的总体发生率较低,为 4.1%。在多变量逻辑回归模型中,Charlson 合并症指数、重大创伤、脑出血、年龄和序贯器官衰竭评估评分被发现可预测 ARC。

结论

本研究中 ARC 的发生率较低,但预测模型确定了一些因素,可用于早期识别有 ARC 危险因素或发生 ARC 的患者,尤其是在 ARC 基线风险较低的队列中。这些因素可用于帮助识别可能发生 ARC 的患者。

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