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Can cystatin C become an easy and reliable tool for anesthesiologists to calculate glomerular filtration rate?

BACKGROUND AND AIMS: The aim was to evaluate the role of cystatin C as a noninvasive and easy marker of glomerular filtration rate (GFR) estimation in voluntary kidney donors. MATERIALS AND METHODS: We retrospectively evaluated 40 voluntary kidney donors. They underwent complete biochemical and nucl...

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Autores principales: Aulakh, Navpreet Kaur, Bansal, Ekta, Bose, Abhishek, Aulakh, Gurmehar Singh, Aulakh, Baldev Singh, Singh, Mirley Rupinder
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4353152/
https://www.ncbi.nlm.nih.gov/pubmed/25788772
http://dx.doi.org/10.4103/0970-9185.150538
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author Aulakh, Navpreet Kaur
Bansal, Ekta
Bose, Abhishek
Aulakh, Gurmehar Singh
Aulakh, Baldev Singh
Singh, Mirley Rupinder
author_facet Aulakh, Navpreet Kaur
Bansal, Ekta
Bose, Abhishek
Aulakh, Gurmehar Singh
Aulakh, Baldev Singh
Singh, Mirley Rupinder
author_sort Aulakh, Navpreet Kaur
collection PubMed
description BACKGROUND AND AIMS: The aim was to evaluate the role of cystatin C as a noninvasive and easy marker of glomerular filtration rate (GFR) estimation in voluntary kidney donors. MATERIALS AND METHODS: We retrospectively evaluated 40 voluntary kidney donors. They underwent complete biochemical and nuclear tests as a part of transplant workup. Serum cystatin C, serum creatinine, and Tc-99m diethylene-triamine-penta-acetic acid (DTPA) were used in our study. We calculated GFR using the chronic kidney disease epidemiology collaboration (CKD-EPI) formula based on creatinine only (GFR-CKD-EPI-creat), CKD-EPI formula using creatinine and cystatin C (GFR-CKD-EPI-cyst-creat), and modification of diet in renal disease (MDRD) and CKD-EPI cystatin C equation (2012) (GFR-cyst). Data was evaluated using the SPSS software (version 11.5). The correlation analysis and analysis of variance was used for statistical computation. Agreement was determined using analyze-it version 2.30 for MS-Excel 12+. RESULTS: The mean age of the donors in our study was 49.83 ± 13.06. The mean cystatin C in females was 0.72 ± 0.12, the mean cystain C in males was 0.87 ± 0.23. On correlating GFR-cyst with GFR-DTPA the Pearson correlation coefficient (ρ) was found to be 0.388 this correlation was significant with P < 0.05. While comparing with DTPA the correlation coefficient of GFR-CKD-EPI-creat group was 0.587 which was significant with P < 0.01. The correlation coefficient of GFR-CKD-EPI-cyst-creat group compared with GFR-DTPA group was 0.543 which was also significant at P < 0.001. GFR-CKD-EPI-creat gave the highest correlation with DTPA in our study. The correlation coefficient of GFR-MDRD group with DTPA group was 0.576 this correlation was also significant with P < 0.01. The results obtained were further statistically analyzed by Bland-Altman analysis the percentage error for GFR-DTPA versus GFR-cyst-creat is 29.72%; for GFR-DTPA versus GFR-EPI-creat is 30.73%; or GFR-DTPA versus MDRD is 31.63% and for GFR-DTPA versus GFR-cyst is 34.37%. CONCLUSION: Cystatin C is a good endogenous marker for calculating GFR as it correlates very well with DTPA and CKD-EPI equation based GFR.
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spelling pubmed-43531522015-03-18 Can cystatin C become an easy and reliable tool for anesthesiologists to calculate glomerular filtration rate? Aulakh, Navpreet Kaur Bansal, Ekta Bose, Abhishek Aulakh, Gurmehar Singh Aulakh, Baldev Singh Singh, Mirley Rupinder J Anaesthesiol Clin Pharmacol Original Article BACKGROUND AND AIMS: The aim was to evaluate the role of cystatin C as a noninvasive and easy marker of glomerular filtration rate (GFR) estimation in voluntary kidney donors. MATERIALS AND METHODS: We retrospectively evaluated 40 voluntary kidney donors. They underwent complete biochemical and nuclear tests as a part of transplant workup. Serum cystatin C, serum creatinine, and Tc-99m diethylene-triamine-penta-acetic acid (DTPA) were used in our study. We calculated GFR using the chronic kidney disease epidemiology collaboration (CKD-EPI) formula based on creatinine only (GFR-CKD-EPI-creat), CKD-EPI formula using creatinine and cystatin C (GFR-CKD-EPI-cyst-creat), and modification of diet in renal disease (MDRD) and CKD-EPI cystatin C equation (2012) (GFR-cyst). Data was evaluated using the SPSS software (version 11.5). The correlation analysis and analysis of variance was used for statistical computation. Agreement was determined using analyze-it version 2.30 for MS-Excel 12+. RESULTS: The mean age of the donors in our study was 49.83 ± 13.06. The mean cystatin C in females was 0.72 ± 0.12, the mean cystain C in males was 0.87 ± 0.23. On correlating GFR-cyst with GFR-DTPA the Pearson correlation coefficient (ρ) was found to be 0.388 this correlation was significant with P < 0.05. While comparing with DTPA the correlation coefficient of GFR-CKD-EPI-creat group was 0.587 which was significant with P < 0.01. The correlation coefficient of GFR-CKD-EPI-cyst-creat group compared with GFR-DTPA group was 0.543 which was also significant at P < 0.001. GFR-CKD-EPI-creat gave the highest correlation with DTPA in our study. The correlation coefficient of GFR-MDRD group with DTPA group was 0.576 this correlation was also significant with P < 0.01. The results obtained were further statistically analyzed by Bland-Altman analysis the percentage error for GFR-DTPA versus GFR-cyst-creat is 29.72%; for GFR-DTPA versus GFR-EPI-creat is 30.73%; or GFR-DTPA versus MDRD is 31.63% and for GFR-DTPA versus GFR-cyst is 34.37%. CONCLUSION: Cystatin C is a good endogenous marker for calculating GFR as it correlates very well with DTPA and CKD-EPI equation based GFR. Medknow Publications & Media Pvt Ltd 2015 /pmc/articles/PMC4353152/ /pubmed/25788772 http://dx.doi.org/10.4103/0970-9185.150538 Text en Copyright: © Journal of Anaesthesiology Clinical Pharmacology http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Aulakh, Navpreet Kaur
Bansal, Ekta
Bose, Abhishek
Aulakh, Gurmehar Singh
Aulakh, Baldev Singh
Singh, Mirley Rupinder
Can cystatin C become an easy and reliable tool for anesthesiologists to calculate glomerular filtration rate?
title Can cystatin C become an easy and reliable tool for anesthesiologists to calculate glomerular filtration rate?
title_full Can cystatin C become an easy and reliable tool for anesthesiologists to calculate glomerular filtration rate?
title_fullStr Can cystatin C become an easy and reliable tool for anesthesiologists to calculate glomerular filtration rate?
title_full_unstemmed Can cystatin C become an easy and reliable tool for anesthesiologists to calculate glomerular filtration rate?
title_short Can cystatin C become an easy and reliable tool for anesthesiologists to calculate glomerular filtration rate?
title_sort can cystatin c become an easy and reliable tool for anesthesiologists to calculate glomerular filtration rate?
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4353152/
https://www.ncbi.nlm.nih.gov/pubmed/25788772
http://dx.doi.org/10.4103/0970-9185.150538
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