Björk Jonas, Nyman Ulf, Courbebaisse Marie, Couzi Lionel, Dalton R Neil, Dubourg Laurence, Ebert Natalie, Eriksen Björn O, Gaillard Francois, Garrouste Cyril, Grubb Anders, Hansson Magnus, Jacquemont Lola, Jones Ian, Kamar Nassim, Lamb Edmund J, Legendre Christophe, Littmann Karin, Mariat Christophe, Melsom Toralf, Rostaing Lionel, Rule Andrew D, Schaeffner Elke, Sundin Per-Ola, Turner Stephen, Åkesson Anna, Delanaye Pierre, Pottel Hans
Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden.
Clinical Studies Sweden, Forum South, Skåne University Hospital, Lund, Sweden.
Clin Kidney J. 2020 Jun 13;13(4):674-683. doi: 10.1093/ckj/sfaa039. eCollection 2020 Aug.
The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine equation is routinely used to assess renal function but exhibits varying accuracy depending on patient characteristics and clinical presentation. The overall aim of the present study was to assess if and to what extent glomerular filtration rate (GFR) estimation based on creatinine can be improved.
In a cross-sectional analysis covering the years 2003-17, CKD-EPI was validated against measured GFR (mGFR; using various tracer methods) in patients with high likelihood of chronic kidney disease (CKD; five CKD cohorts, = 8365) and in patients with low likelihood of CKD (six community cohorts, = 6759). Comparisons were made with the Lund-Malmö revised equation (LMR) and the Full Age Spectrum equation.
7In patients aged 18-39 years old, CKD-EPI overestimated GFR with 5.0-16 mL/min/1.73 m in median in both cohort types at mGFR levels <120 mL/min/1.73 m. LMR had greater accuracy than CKD-EPI in the CKD cohorts (P, the percentage of estimated GFR within 30% of mGFR, 83.5% versus 76.6%). CKD-EPI was generally the most accurate equation in the community cohorts, but all three equations reached P above the Kidney Disease Outcomes Quality Initiative benchmark of 90%.
None of the evaluated equations made optimal use of available data. Prospects for improved GFR estimation procedures based on creatinine exist, particularly in young adults and in settings where patients with suspected or manifest CKD are investigated.
慢性肾脏病流行病学协作组(CKD-EPI)的肌酐方程常用于评估肾功能,但根据患者特征和临床表现,其准确性有所不同。本研究的总体目标是评估基于肌酐的肾小球滤过率(GFR)估计是否能够以及在多大程度上得到改善。
在一项涵盖2003年至2017年的横断面分析中,针对慢性肾脏病(CKD)可能性高的患者(五个CKD队列,n = 8365)和CKD可能性低的患者(六个社区队列,n = 6759),将CKD-EPI与实测GFR(mGFR;使用各种示踪方法)进行验证。与隆德-马尔默修正方程(LMR)和全年龄谱方程进行比较。
在18至39岁的患者中,当mGFR水平<120 mL/min/1.73m²时,CKD-EPI在两种队列类型中均高估GFR,中位数高估5.0 - 16 mL/min/1.73m²。在CKD队列中,LMR比CKD-EPI具有更高的准确性(P,估计GFR在mGFR的30%范围内的百分比,83.5%对76.6%)。在社区队列中,CKD-EPI通常是最准确的方程,但所有三个方程的P均高于肾脏病预后质量倡议90%的基准。
所评估的方程均未充分利用现有数据。基于肌酐的GFR估计程序存在改进的前景,特别是在年轻人以及对疑似或已确诊CKD患者进行检查的情况下。