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评估急性感染期间常用的替代基线肌酐值对急性肾损伤进行分类的情况。

An Evaluation of Commonly Used Surrogate Baseline Creatinine Values to Classify AKI During Acute Infection.

作者信息

Cooper Daniel J, Plewes Katherine, Grigg Matthew J, Patel Aatish, Rajahram Giri S, William Timothy, Hiemstra Thomas F, Wang Zhiqiang, Barber Bridget E, Anstey Nicholas M

机构信息

Menzies School of Health Research and Charles Darwin University, Darwin, Northern Territory, Australia.

Infectious Diseases Society Sabah-Menzies School of Health Research Clinical Research Unit, Kota Kinabalu, Sabah, Malaysia.

出版信息

Kidney Int Rep. 2021 Jan 1;6(3):645-656. doi: 10.1016/j.ekir.2020.12.020. eCollection 2021 Mar.

Abstract

INTRODUCTION

Classification of acute kidney injury (AKI) requires a premorbid baseline creatinine, often unavailable in studies in acute infection.

METHODS

We evaluated commonly used surrogate and imputed baseline creatinine values against a "reference" creatinine measured during follow-up in an adult clinical trial cohort. Known AKI incidence (Kidney Disease: Improving Global Outcomes [KDIGO] criteria) was compared with AKI incidence classified by (1) back-calculation using the Modification of Diet in Renal Disease (MDRD) equation with and without a Chinese ethnicity correction coefficient; (2) back-calculation using the Chronic Kidney Disease-Epidemiology Collaboration (CKD-EPI) equation; (3) assigning glomerular filtration rate (GFR) from age and sex-standardized reference tables; and (4) lowest measured creatinine during admission. Back-calculated distributions were performed using GFRs of 75 and 100 ml/min.

RESULTS

All equations using an assumed GFR of 75 ml/min underestimated AKI incidence by more than 50%. Back-calculation with CKD-EPI and GFR of 100 ml/min most accurately predicted AKI but misclassified all AKI stages and had low levels of agreement with true AKI diagnoses. Back-calculation using MDRD and assumed GFR of 100 ml/min, age and sex-reference GFR values adjusted for good health, and lowest creatinine during admission performed similarly, best predicting AKI incidence (area under the receiver operating characteristic curves [AUC ROCs] of 0.85, 0.87, and 0.85, respectively). MDRD back-calculation using a cohort mean GFR showed low total error (22%) and an AUC ROC of 0.85.

CONCLUSION

Current methods for estimating baseline creatinine are large sources of potential error in acute infection studies. Preferred alternatives include MDRD equation back-calculation with a population mean GFR, age- and sex-specific GFR values corrected for "good health," or lowest measured creatinine. Studies using surrogate baseline creatinine values should report specific methodology.

摘要

引言

急性肾损伤(AKI)的分类需要病前的肌酐基线值,但在急性感染研究中往往无法获取。

方法

在一项成人临床试验队列中,我们将常用的替代和推算基线肌酐值与随访期间测得的“参考”肌酐值进行了评估。将已知的AKI发病率(肾脏病:改善全球预后[KDIGO]标准)与通过以下方法分类的AKI发病率进行比较:(1)使用肾脏病饮食改良(MDRD)方程进行反向计算,有无中国种族校正系数;(2)使用慢性肾脏病流行病学协作组(CKD-EPI)方程进行反向计算;(3)根据年龄和性别标准化参考表指定肾小球滤过率(GFR);(4)入院期间测得的最低肌酐值。使用75和100 ml/min的GFR进行反向计算分布。

结果

所有使用假定GFR为75 ml/min的方程均将AKI发病率低估了50%以上。使用CKD-EPI和GFR为100 ml/min进行反向计算最准确地预测了AKI,但对所有AKI阶段进行了错误分类,并且与真正的AKI诊断的一致性水平较低。使用MDRD并假定GFR为100 ml/min、根据健康状况调整的年龄和性别参考GFR值以及入院期间最低肌酐值进行反向计算的结果相似,对AKI发病率的预测最佳(受试者工作特征曲线下面积[AUC ROC]分别为0.85、0.87和0.85)。使用队列平均GFR的MDRD反向计算显示总误差较低(22%),AUC ROC为0.85。

结论

目前估算基线肌酐的方法是急性感染研究中潜在误差的重要来源。首选的替代方法包括使用总体平均GFR的MDRD方程反向计算、针对“健康状况”校正的年龄和性别特异性GFR值或测得的最低肌酐值。使用替代基线肌酐值的研究应报告具体方法。

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