Formulas for estimating glomerular filtration rate: correct and incorrect use

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About the authors

Evgeny M. Shilov

Sechenov University

Author for correspondence.
Email: emshilov@gmail.com
ORCID iD: 0000-0002-2111-191X

Dr.Sci. (Med.), Professor at the Department of Therapy, Occupational Diseases and Rheumatology

Russian Federation, Bldg. 2, 8 Trubetskaya st., Moscow, 119048

References

  1. Шилов Е.М., Сигитова О.Н. Хроническая болезнь почек в практике врачей первичного звена. Терапия. 2023;9:106–112. doi: 10.18565/therapy.2023.3.106–112. [Shilov E.M., Sigitova O.N. Chronic kidney disease in primary care practice. Therapy. 2023;9(3):106–112 (In Russ.)]. doi: 10.18565/therapy.2023.3.106–112.
  2. KDIGO 2012 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease. Kidney International Supplements. 2013;3:136–150. doi: 10.1038/kisup.2012.72
  3. Руководство KDIGO 2023 по ХБП. https://kdigo.org/conferences/era-2023-ckd-guideline-draft-preview/ [KDIGO 2023 CKD Guidelines. https://kdigo.org/conferences/era-2023-ckd-guideline-draft-preview/.
  4. Батюшин М.М. Методические основы оценки скорости клубочковой фильтрации в урологической практике. Вестник урологии. 2017;5:42–51. [Batyushin M.M. Methodological foundations for assessing the glomerular filtration rate in urological practice. Bulletin of Urology. 2017;5:42–51 (In Russ.)].
  5. Бобкова И.Н., Камышова Е.С., Чеботарева Н.В. Проба Реберга–Тареева в оценке скорости клубочковой фильтрации. Терапевтический архив. 2021;93:1246–1248. doi: 10.26442/00403660.2021.10.201119 [Bobkova I.N., Kamyshova E.S., Chebotareva N.V. Rehberg–Tareev test in the estimation of glomerular filtration rate. Terapevticheskiy arkhiv. 2021;93:1246–1248 (In Russ.)].
  6. Seghieri M., Vitolo E., Giannini L. et al. Determinants of glomerular filtration rate following bariatric surgery in individuals with severe, otherwise uncomplicated, obesity: an observational, prospective study. Acta Diabetol. 2017;54:593–598. https://doi.org/10.1007/s00592-017-0988-8
  7. Lin Yen-Chung, Lai Yi-Jen, Lin Yi-Chun, et al. Effect of weight loss on the estimated glomerular filtration rates of obese patients at risk of chronic kidney disease: the RIGOR-TMU study. Journal of Cachexia, Sarcopenia and Muscle. 2019;10:756–766.
  8. Гуссаова С.С., Бобкова И.Н., Яшков Ю.И. и др. Изменение метаболических показателей и скорости клубочковой фильтрации у больных морбидным ожирением после бариатрических операций. Терапевтический архив. 2020; 92: 53–59. doi: 10.26442/00403660.2020.06.000674 [Gussaova S.S., Bobkova I.N., Yashkov Yu.I. et al. Changes in metabolic parameters and glomerular filtration rate in patients with morbid obesity after bariatric surgery. . Therapeutic Archive. 2020; 92: 53-59. doi: 10.26442/00403660.2020.06.000674 (In Russ.)].
  9. Rothberg Amy E., McEwen Laura N., Herman William H. Severe obesity and the impact of medical weight loss on estimated glomerular filtration rate. PLOS ONE February 25, 2020 https://doi.org/10.1371/journal.pone.0228984
  10. Chang A.R., Zafar W., Grams M.E. Kidney function in obesity – challenges in indexing and estimation. Adv Chronic Kidney Dis. 2018;25:31–40.
  11. Mousapour P.: Indexing for 1.73-m2 Body Surface Area yet a Basic Mistake for Assessing Estimated Glomerular Filtration Rate After Bariatric Surgery. Obesity Surgery. 2019. https://doi.org/10.1007/s11695-019-04305-5
  12. Delanaye Pierre; Krzesinski Jean-Marie. Indexing of Renal Function Parameters by Body Surface Area: Intelligence or Folly? Nephron Clinical Practice. 2011;119:289–292. https://doi.org/10.1159/000330276
  13. Jesudason D., Clifton P. Limitations of using the Chronic Kidney Disease–Epidemiology Collaboration equation for measuring renal function in obese populations. Kidney International. 2016;89:1400–1401. http://dx.doi.org/10.1016/j.kint.2015.12.054
  14. Scholten Bernt Johan, Persson Frederik, Svane Maria S., et al. Effect of large weight reductions on measured and estimated kidney function. BMC Nephrology. 2017;18:52. doi: 10.1186/s12882-017-0474-0
  15. Kittiskulnam P., Tiskajornsiri K., Katavetin P., Chaiwatanarat T., Eiam-Ong S., Praditpornsilpa K.The failure of glomerular filtration rate estimating equations among obese population. PLoS ONE. 2020;15:e0242447. https://doi.org/10.1371/journal.pone.0242447
  16. Levey A.S., Coresh J., Tighiouart H., et al. Measured and estimated glomerular filtration rate: current status and future directions. Nat Rev Nephrol. 2020;16:51–64. doi: 10.1038/s41581-019-0191-y
  17. Glassock R. Commentary on: Friedman A.N., Moe S., Fadel W.F., et al. Predicting the Glomerular Filtration Rate in Bariatric Surgery Patients. Am J Nephrol. 2014;39:8–15.
  18. Новикова М.С., Титова Ю.А., Шилов Е.М., Калинченко С.Ю. Скорость клубочковой фильтраци и (СКФ) у мужчин с метаболическим синдромом (МС). Нефрология и диализ. 2007;9:341. [Novikova M.S., Titova Yu.A., Shilov E.M., Kalinichenko S.Yu. Glomerular filtration rate (GFR) in men with metabolic syndrome (MS). Nephrology and dialysis. 2007;9:341 (In Russ.)].

Supplementary files

Supplementary Files
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2. Fig.1. Conceptual model for estimating GFR using creatine-based formulas for epidemiological purposes of CKD

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3. Fig.2. In obese patients, indexing to standard body surface area underestimates eGFR compared with reference measured GFR (iothalamate) [15]

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4. Fig.3. Explanation of error in eGFR due to indexing after baratric surgery

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