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Ng DK, Muñoz A. Assessing bias in GFR estimating equations: improper GFR stratification can yield misleading results. Pediatr Nephrol 2024; 39:2139-2145. [PMID: 38396091 PMCID: PMC11232499 DOI: 10.1007/s00467-024-06318-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 02/01/2024] [Accepted: 02/02/2024] [Indexed: 02/25/2024]
Abstract
BACKGROUND Assessing bias (estimated - measured) is key to evaluating glomerular filtration rate (GFR). Stratification by subgroups can indicate where equations perform differently. However, there is a fallacy in the assessment of two instruments (e.g., eGFR and mGFR) when stratifying on the level of only one of those instruments. Here, we present statistical aspects of the problem and a solution for GFR stratification along with an empirical investigation using data from the CKiD study. METHODS Compared and contrasted biases (eGFR relative to mGFR) with 95% confidence intervals within strata of mGFR only, eGFR only, and the average of mGFR and eGFR using data from the Chronic Kidney Disease in Children (CKiD) study. RESULTS A total of 304 participants contributed 843 GFR studies with a mean mGFR of 48.46 (SD = 22.72) and mean eGFR of 48.67 (SD = 22.32) and correlation of 0.904. Despite strong agreement, eGFR significantly overestimated mGFR when mGFR < 30 (+ 6.2%; 95%CI + 2.9%, + 9.7%) and significantly underestimated when mGFR > 90 (-12.2%; 95%CI - 17.3%, - 7.0%). Significant biases in opposite direction were present when stratifying by eGFR only. In contrast, when stratifying by the average of eGFR and mGFR, biases were not significant (+ 1.3% and - 1.0%, respectively) congruent with strong agreement. CONCLUSIONS Stratifying by either mGFR or eGFR only to assess eGFR biases is ubiquitous but can lead to inappropriate inference due to intrinsic statistical issues that we characterize and empirically illustrate using data from the CKiD study. Using the average of eGFR and mGFR is recommended for valid inferences in evaluations of eGFR biases.
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Affiliation(s)
- Derek K Ng
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Room E7642, Baltimore, MD, 21205, USA.
| | - Alvaro Muñoz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Room E7642, Baltimore, MD, 21205, USA
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Muto S, Matsubara T, Inoue T, Kitamura H, Yamamoto K, Ishii T, Yazawa M, Yamamoto R, Okada N, Mori K, Yamada H, Kuwabara T, Yonezawa A, Fujimaru T, Kawano H, Yokoi H, Doi K, Hoshino J, Yanagita M. Chapter 1: Evaluation of kidney function in patients undergoing anticancer drug therapy, from clinical practice guidelines for the management of kidney injury during anticancer drug therapy 2022. Int J Clin Oncol 2023; 28:1259-1297. [PMID: 37382749 DOI: 10.1007/s10147-023-02372-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 06/14/2023] [Indexed: 06/30/2023]
Abstract
The prevalence of CKD may be higher in patients with cancer than in those without due to the addition of cancer-specific risk factors to those already present for CKD. In this review, we describe the evaluation of kidney function in patients undergoing anticancer drug therapy. When anticancer drug therapy is administered, kidney function is evaluated to (1) set the dose of renally excretable drugs, (2) detect kidney disease associated with the cancer and its treatment, and (3) obtain baseline values for long-term monitoring. Owing to some requirements for use in clinical practice, a GFR estimation method such as the Cockcroft-Gault, MDRD, CKD-EPI, and the Japanese Society of Nephrology's GFR estimation formula has been developed that is simple, inexpensive, and provides rapid results. However, an important clinical question is whether they can be used as a method of GFR evaluation in patients with cancer. When designing a drug dosing regimen in consideration of kidney function, it is important to make a comprehensive judgment, recognizing that there are limitations regardless of which estimation formula is used or if GFR is directly measured. Although CTCAEs are commonly used as criteria for evaluating kidney disease-related adverse events that occur during anticancer drug therapy, a specialized approach using KDIGO criteria or other criteria is required when nephrologists intervene in treatment. Each drug is associated with the different disorders related to the kidney. And various risk factors for kidney disease associated with each anticancer drug therapy.
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Affiliation(s)
- Satoru Muto
- Department of Urology, Graduate School of Medicine, Juntendo University, Tokyo, Japan.
| | - Takeshi Matsubara
- Department of Nephrology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Takamitsu Inoue
- Department of Renal and Urologic Surgery, International University of Health and Welfare Narita Hospital, Chiba, Japan
| | - Hiroshi Kitamura
- Department of Urology, Faculty of Medicine, University of Toyama, Toyama, Japan
| | | | - Taisuke Ishii
- Division of Nephrology and Endocrinology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan
| | - Masahiko Yazawa
- Division of Nephrology and Hypertension, Department of Internal Medicine, St. Marianna University School of Medicine, Kawasaki, Kanagawa, Japan
| | - Ryohei Yamamoto
- Department of Urology, Akita University Graduate School of Medicine, Akita, Japan
| | - Naoto Okada
- Department of Pharmacy, Tokushima University Hospital, Tokushima, Japan
- Pharmacy Department, Yamaguchi University Hospital, Yamaguchi, Japan
| | - Kiyoshi Mori
- Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan
| | - Hiroyuki Yamada
- Department of Primary Care and Emergency Medicine, Kyoto University Hospital, Kyoto, Japan
| | - Takashige Kuwabara
- Department of Nephrology, Kumamoto University Graduate School of Medical Sciences, Kumamoto, Japan
| | - Atsushi Yonezawa
- Department of Clinical Pharmacology and Therapeutics, Kyoto University Hospital, Kyoto, Japan
| | - Takuya Fujimaru
- Department of Nephrology, St Luke's International Hospital, Tokyo, Japan
| | - Haruna Kawano
- Department of Urology, Graduate School of Medicine, Juntendo University, Tokyo, Japan
| | - Hideki Yokoi
- Department of Nephrology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Kent Doi
- Department of Emergency and Critical Care Medicine, The University of Tokyo Hospital, Tokyo, Japan
| | - Junichi Hoshino
- Department of Nephrology, Tokyo Women's Medical University, Tokyo, Japan
| | - Motoko Yanagita
- Department of Nephrology, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Institute for the Advanced Study of Human Biology (ASHBi), Kyoto University, Kyoto, Japan
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Matsuoka D, Hirabayashi K, Murase T, Saito S, Nakazawa Y. Comment on: Assessment of kidney function using inulin-based and estimated glomerular filtration rates before and after allogeneic hematopoietic stem cell transplantation in pediatric patients. Pediatr Blood Cancer 2022; 69:e29634. [PMID: 35234332 DOI: 10.1002/pbc.29634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 02/11/2022] [Indexed: 11/09/2022]
Affiliation(s)
- Daisuke Matsuoka
- Department of Pediatrics, Shinshu University School of Medicine, Matsumoto, Japan
| | - Koichi Hirabayashi
- Department of Pediatrics, Shinshu University School of Medicine, Matsumoto, Japan
| | - Tsubasa Murase
- Department of Pediatrics, Shinshu University School of Medicine, Matsumoto, Japan
| | - Shoji Saito
- Department of Pediatrics, Shinshu University School of Medicine, Matsumoto, Japan
| | - Yozo Nakazawa
- Department of Pediatrics, Shinshu University School of Medicine, Matsumoto, Japan
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