Department of Microbiology, Immunology and Transplantation, Laboratory of Molecular Immunology, Rega Institute, KU Leuven, Belgium; Division of Nephrology, University Hospitals Leuven, Both in Leuven, Belgium.
Section of Nephrology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Eur J Cancer. 2020 Jun;132:141-149. doi: 10.1016/j.ejca.2020.03.026. Epub 2020 Apr 30.
A precise and efficient method for estimating kidney function in cancer patients is important to determine their eligibility for clinical trials and surgery and to allow for appropriate dose adjustment of anti-cancer drugs, especially toxic drugs with a narrow therapeutic index. Since direct measurement of glomerular filtration rate (GFR) is cumbersome, several formulae have been developed to estimate kidney function. Most of these are based on serum creatinine concentration. Though the CKD-EPI formula is recognised as being the most accurate, there is an ongoing debate on which is the optimal formula for cancer patients. In this review, we provide an overview of different GFR estimating equations for kidney function and the advantages and disadvantages of each method and compare their performance in cancer patients. We discuss the importance of body surface area-indexing and propose a framework for evaluating kidney function in cancer patients.
一种精确而高效的癌症患者肾功能估计方法对于确定他们是否有资格参加临床试验和手术以及适当调整抗癌药物的剂量非常重要，特别是那些治疗指数较窄的有毒药物。由于肾小球滤过率（GFR）的直接测量较为繁琐，因此已经开发了几种公式来估计肾功能。这些公式大多基于血清肌酐浓度。虽然 CKD-EPI 公式被认为是最准确的，但对于癌症患者来说，哪种公式是最佳的仍存在争议。在这篇综述中，我们概述了不同的 GFR 估计方程及其各自的优缺点，并比较了它们在癌症患者中的表现。我们讨论了体表面积指数化的重要性，并提出了一种评估癌症患者肾功能的框架。
