危重儿科患者基线肌酐水平估算方程的建立

S. Park, W. Jhang
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引用次数: 0

摘要

背景:目前急性肾损伤的诊断标准主要依靠基线血清肌酐(SCr-base)。然而,对于大量住院患者来说,这些信息经常缺失或无法获得。在本研究中,我们建立了SCr-base的估计方程(EE),并验证了其在危重儿科患者中的表现。方法:这项单中心回顾性研究纳入了2016年1月至2020年7月在一家三级儿童医院儿科重症监护病房(PICU)住院的患者。这些患者在入院前3个月内测量了SCr基础(mcr -base)和PICU入院时的初始SCr值(SCr-adm)。患者按入院日期分为衍生队列和验证队列,以开发和验证EE。结果:共有761名儿童被纳入研究(衍生队列605名,验证队列156名)。我们采用线性回归分析得出以下EE: eSCr-base=0.159+(-0.031)×sex+(0.355×SCr-adm)+(身高z-score为0.006×weight)。与其他SCr-base的估算方法相比,如SCr-adm和通过反向计算确定的SCr-base,假设肾小球滤过率估计为75 mL/min/1.73 m2 (SCr-eGFR75), eSCr-base与mSCr-base的一致性更高,偏差更小(0.005),一致性(LOA)区间更窄(0.506)。结论:与目前使用的其他方法(SCr-adm和SCr-eGFR75)相比,通过EE计算的eSCr-base与mSCr-base的一致性更好,偏差更小,LOA区间更小。进一步的大规模研究是验证和广泛采用的必要条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of an estimating equation for the baseline creatinine level in critically ill pediatric patients
Background: The current diagnostic criteria for acute kidney injury mainly rely on baseline serum creatinine (SCr-base). However, this information is frequently missing or unavailable for a significant number of hospitalized patients. In this study, we developed an estimating equation (EE) for SCr-base and validated its performance in critically ill pediatric patients. Methods: This single-center retrospective study included patients admitted to the pediatric intensive care unit (PICU) at a tertiary care children’s hospital between January 2016 and July 2020. These patients had a measured SCr-base (mSCr-base) within 3 months prior to admission and initial SCr value at PICU admission (SCr-adm). The patients were divided by admission date into a derivation cohort and a validation cohort for the development and validation of the EE. Results: In total, 761 children were included in the study (605 in the derivation cohort and 156 in the validation cohort). We employed linear regression analysis to develop the following EE: eSCr-base=0.159+(–0.031)×sex+(0.355×SCr-adm)+(0.006×weight for height z-score). Compared to other imputation methods for SCr-base, such as SCr-adm and SCr-base determined by back-calculation with an assumed estimated glomerular filtration rate of 75 mL/min/1.73 m 2 (SCr-eGFR75), eSCr-base demonstrated higher agreement with mSCr-base, exhibiting less bias (0.005) and narrower limits of agreement (LOA) interval (0.506). Conclusion: eSCr-base calculated through an EE showed better agreement with mSCr-base, with less bias and a smaller LOA interval than other currently used methods (SCr-adm and SCr-eGFR75). Further large-scale studies are necessary for validation and widespread adoption.
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