Estimated glomerular filtration rate calculator according to creatinine measurement methods
Keywords:
creatinine, Cuba, glomerular filtration rate, software.Abstract
Introduction: In Cuba, serum creatinine measurements are usually made by methods that need to be corrected versus a reference method.Objective: To present a mobile device application that corrects serum creatinine to a reference method (compensated Jaffé), calculates the estimated glomerular filtration rate and classifies the patient by Chronic Kidney Disease stage.
Methods: The application was developed using open source Android programs with the Flutter framework (version 2.10). Formulas were introduced to correct creatinine, calculate the estimated glomerular filtration rate and values to classify Chronic Kidney Disease.
Presentation: The application requires seven data to be entered, which can vary according to the patient's characteristics; and deliver as results the corrected creatinine, the estimated glomerular filtration rate, and the patient's classification by Chronic Kidney Disease stage. It has minimal hardware requirements and a simple and intuitive user interface.
Conclusions: A mobile device application is presented that corrects serum creatinine to a reference method, calculates the estimated glomerular filtration rate and classifies the subject by Chronic Kidney Disease stage.
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References
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10. Grams ME, Coresh J, Matsushita K, Ballew SH, Sang Y, Surapaneni A, et al. Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes: An Individual-Participant Data Meta-Analysis [Internet]. JAMA. 2023 [acceso: 23/12/2023]; 330(13):1266-77. Disponible en: https://pubmed.ncbi.nlm.nih.gov/37787795/
11. Myers GL, Miller WG, Coresh J, Fleming J, Greenberg N, Greene T, et al. National Kidney Disease Education Program Laboratory Working Group. Recommendations for improving serum creatinine measurement: a report from the Laboratory Working Group of the National Kidney Disease Education Program [Internet]. Clin Chem. 2006 [acceso: 31/01/2023]; 52(1):5-18. Disponible en: https://pubmed.ncbi.nlm.nih.gov/16332993/
12. Syme NR, Stevens K, Stirling C, McMillan DC, Talwar D. Clinical and Analytical Impact of Moving from Jaffe to Enzymatic Serum Creatinine Methodology. J Appl Lab Med [Internet]. 2020 [acceso: 31/01/2023];5(4):631-42. Disponible en: https://pubmed.ncbi.nlm.nih.gov/32447368/
13. Shanthaveeranna GK, Devanath A. Jaffe's kinetic method comparison between isotope dilution mass spectrometry standardized versus nonstandardized method. Indian J Health Sci Biomed Res [Internet]. 2020 [acceso: 25/03/2023];13(2):137-9. Disponible en: https://oa.mg/work/10.4103/kleuhsj.kleuhsj_39_20
14. Schwartz GJ, Muñoz A, Schneider MF, Mak RH, Kaskel F, Warady BA, et al. New equations to estimate GFR in children with CKD [Internet]. J Am Soc Nephrol. 2009 [acceso: 23/02/2023]; 20(3): 629-37. Disponible en: https://pubmed.ncbi.nlm.nih.gov/19158356/
15. Pottel H, Björk J, Courbebaisse M, Couzi L, Ebert N, Eriksen BO, et al. Development and Validation of a Modified Full Age Spectrum Creatinine-Based Equation to Estimate Glomerular Filtration Rate: A Cross-sectional Analysis of Pooled Data [Internet]. Ann Intern Med. 2021 [acceso: 23/02/2023];174(2):183-191. Disponible en: https://pubmed.ncbi.nlm.nih.gov/33166224/
16. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, et al; CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration). A new equation to estimate glomerular filtration rate [Internet]. Ann Intern Med. 2009 [acceso: 10/02/2023];150(9):604-12. Disponible en: https://pubmed.ncbi.nlm.nih.gov/19414839/
17. Inker LA, Eneanya ND, Coresh J, Tighiouart H, Wang D, Sang Y, et al. New Creatinine- and Cystatin C-Based Equations to Estimate GFR without Race [Internet]. N Engl J Med. 2021 [acceso: 16/03/2023];385(19):1737-49. Disponible en: https://pubmed.ncbi.nlm.nih.gov/34554658/
18. Hallan SI, Rifkin DE, Potok OA, Langlo KA, Dekker FW, Ix JH. Physicians' Recognition and Management of Kidney Disease: A Randomized Vignette Study Evaluating the Impact of the KDIGO 2012 CKD Classification System [Internet]. Kidney Med. 2020 [acceso: 16/03/2023];2(3):258-66. Disponible en: https://pubmed.ncbi.nlm.nih.gov/32734245/
2. Inker LA, Titan S. Measurement and Estimation of GFR for Use in Clinical Practice: Core Curriculum 2021[Internet]. Am J Kidney Dis. 2021 [acceso:16/03/2023];78(5):736-49. Disponible en: https://pubmed.ncbi.nlm.nih.gov/34518032/
3. Luis-Lima S, Ortiz A. Assessment of the glomerular filtration rate [Internet]. Med Clin (Barc). 2023 [acceso:16/03/2023];160(1):27-9. Disponible en: https://pubmed.ncbi.nlm.nih.gov/35945055/
4. González González E, Bacallao Méndez R A, Gutiérrez García F, Mañalich Comas R. Estimación de la función renal mediante creatinina sérica y fórmulas predictivas en población litiásica cubana [Internet]. Rev cubana med. 2014 [acceso: 16/02/2023]; 53(3): 254-65. Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S0034-75232014000300003&lng=es
5. Lee SC, Lim LM, Chang EE, Chiu YW, Hwang SJ, Chen HC. Effect of differences in serum creatinine estimation methodologies on estimated glomerular filtration rate [Internet]. Singapore Med J. 2019 [acceso: 30/03/2023];60(9):468-73. Disponible en: https://pubmed.ncbi.nlm.nih.gov/31570950/
6. He L, Yu J, Han G, Huang D, Han L, Zhang Q, et al. Analytical performance evaluation of different test systems on serum creatinine assay [Internet]. J Clin Lab Anal. 2022 [acceso: 16/02/2023];36(2):e24206. Disponible en: https://pubmed.ncbi.nlm.nih.gov/34957600/
7. Bacallao Méndez RA, Mañalich Comas R. Estimación de la función renal. En: Bacallao Méndez RA, Mañalich Comas R, Díaz Galvizu K. Fisiología y exploración funcional renal. 1ra Ed. La Habana: Editorial Ciencias Médicas; 2016. [acceso:23/02/2023]. p. 167-220. Disponible en: http://www.bvscuba.sld.cu/libro/fisiologia-y-exploracion-funcional-renal/
8. Sharma A, Sahasrabudhe V, Musib L, Zhang S, Younis I, Kanodia J. Time to Rethink the Current Paradigm for Assessing Kidney Function in Drug Development and Beyond. Clin Pharmacol Ther [Internet]. 2022 [acceso: 10/02/2023];112(5):946-58. Disponible en: https://pubmed.ncbi.nlm.nih.gov/34800044/
9. National Kidney Foundation. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification [Internet]. Am J Kidney Dis. 2002 [acceso: 23/02/2023];39(2):S1-266.Disponible en: https://pubmed.ncbi.nlm.nih.gov/11904577/
10. Grams ME, Coresh J, Matsushita K, Ballew SH, Sang Y, Surapaneni A, et al. Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes: An Individual-Participant Data Meta-Analysis [Internet]. JAMA. 2023 [acceso: 23/12/2023]; 330(13):1266-77. Disponible en: https://pubmed.ncbi.nlm.nih.gov/37787795/
11. Myers GL, Miller WG, Coresh J, Fleming J, Greenberg N, Greene T, et al. National Kidney Disease Education Program Laboratory Working Group. Recommendations for improving serum creatinine measurement: a report from the Laboratory Working Group of the National Kidney Disease Education Program [Internet]. Clin Chem. 2006 [acceso: 31/01/2023]; 52(1):5-18. Disponible en: https://pubmed.ncbi.nlm.nih.gov/16332993/
12. Syme NR, Stevens K, Stirling C, McMillan DC, Talwar D. Clinical and Analytical Impact of Moving from Jaffe to Enzymatic Serum Creatinine Methodology. J Appl Lab Med [Internet]. 2020 [acceso: 31/01/2023];5(4):631-42. Disponible en: https://pubmed.ncbi.nlm.nih.gov/32447368/
13. Shanthaveeranna GK, Devanath A. Jaffe's kinetic method comparison between isotope dilution mass spectrometry standardized versus nonstandardized method. Indian J Health Sci Biomed Res [Internet]. 2020 [acceso: 25/03/2023];13(2):137-9. Disponible en: https://oa.mg/work/10.4103/kleuhsj.kleuhsj_39_20
14. Schwartz GJ, Muñoz A, Schneider MF, Mak RH, Kaskel F, Warady BA, et al. New equations to estimate GFR in children with CKD [Internet]. J Am Soc Nephrol. 2009 [acceso: 23/02/2023]; 20(3): 629-37. Disponible en: https://pubmed.ncbi.nlm.nih.gov/19158356/
15. Pottel H, Björk J, Courbebaisse M, Couzi L, Ebert N, Eriksen BO, et al. Development and Validation of a Modified Full Age Spectrum Creatinine-Based Equation to Estimate Glomerular Filtration Rate: A Cross-sectional Analysis of Pooled Data [Internet]. Ann Intern Med. 2021 [acceso: 23/02/2023];174(2):183-191. Disponible en: https://pubmed.ncbi.nlm.nih.gov/33166224/
16. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, et al; CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration). A new equation to estimate glomerular filtration rate [Internet]. Ann Intern Med. 2009 [acceso: 10/02/2023];150(9):604-12. Disponible en: https://pubmed.ncbi.nlm.nih.gov/19414839/
17. Inker LA, Eneanya ND, Coresh J, Tighiouart H, Wang D, Sang Y, et al. New Creatinine- and Cystatin C-Based Equations to Estimate GFR without Race [Internet]. N Engl J Med. 2021 [acceso: 16/03/2023];385(19):1737-49. Disponible en: https://pubmed.ncbi.nlm.nih.gov/34554658/
18. Hallan SI, Rifkin DE, Potok OA, Langlo KA, Dekker FW, Ix JH. Physicians' Recognition and Management of Kidney Disease: A Randomized Vignette Study Evaluating the Impact of the KDIGO 2012 CKD Classification System [Internet]. Kidney Med. 2020 [acceso: 16/03/2023];2(3):258-66. Disponible en: https://pubmed.ncbi.nlm.nih.gov/32734245/
Published
2024-08-27
How to Cite
1.
Bacallao Méndez RA, Rodríguez García CA, Córdova Rodríguez Y, García Pérez A. Estimated glomerular filtration rate calculator according to creatinine measurement methods. Rev Cubana Med Milit [Internet]. 2024 Aug. 27 [cited 2025 Apr. 3];53(3):e024049529. Available from: https://revmedmilitar.sld.cu/index.php/mil/article/view/49529
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