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A novel nomogram to predict the reliability of estimated glomerular filtration rate formulae in oncology patients
BACKGROUND: Formulae of estimated glomerular filtration rate (eGFR) based on serum creatinine (Scr) are routinely used in oncology patients, however, they are inaccurate in some populations. Our aim was to assess the agreement of eGFR formulae and thereby build a nomogram to predict the reliability...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7278045/ https://www.ncbi.nlm.nih.gov/pubmed/32513123 http://dx.doi.org/10.1186/s12885-020-06997-w |
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author | Cheng, Yichun Huang, Liu Han, Yunfeng Vanisha, Chummun Ge, Shuwang Xu, Gang |
author_facet | Cheng, Yichun Huang, Liu Han, Yunfeng Vanisha, Chummun Ge, Shuwang Xu, Gang |
author_sort | Cheng, Yichun |
collection | PubMed |
description | BACKGROUND: Formulae of estimated glomerular filtration rate (eGFR) based on serum creatinine (Scr) are routinely used in oncology patients, however, they are inaccurate in some populations. Our aim was to assess the agreement of eGFR formulae and thereby build a nomogram to predict the reliability of estimates. METHODS: Measured GFR (mGFR) using isotope from 445 oncology patients were compared with eGFR from six formulae (Cockcroft-Gault, Modification of Diet in Renal Disease (MDRD), modified MDRD formulae for Chinese (C-MDRD), Chronic Kidney Disease Epidemiology (CKD-EPI) Collaboration, Wright and full age spectrum (FAS)). Bias, precision and accuracy of eGFR formulae were examined. We also evaluated statistics of agreement: the total deviation index (TDI), the concordance correlation coefficient (CCC) and the coverage probability (CP). Multivariate logistic regression was applied to identify characteristics associated with inaccurate eGFR and construct a predictive nomogram. RESULTS: All eGFR formulae tended to overestimate the eGFR. The percentage of patients with eGFR within 30% the mGFR ranged from 38.0 to 62.8%. Cockcroft-Gault and MDRD showed low bias and high precision. The MDRD formula exhibited lowest TDI, meaning that 90% of estimations ranged from − 36 to 36% of mGFR. Multivariate logistic regression showed that inaccuracy of MDRD was found in elderly patients or in patients with eGFR greater than 120 ml/min. A nomogram was constructed to help oncologists to predict the risk of inaccuracy of eGFR. The calibration curve showed good agreement. CONCLUSIONS: Our results suggest that the error of eGFR by any formulae was common and wide in Chinese oncology patients. Our nomogram may assist oncologists in decision-making when mGFR is needed. |
format | Online Article Text |
id | pubmed-7278045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72780452020-06-09 A novel nomogram to predict the reliability of estimated glomerular filtration rate formulae in oncology patients Cheng, Yichun Huang, Liu Han, Yunfeng Vanisha, Chummun Ge, Shuwang Xu, Gang BMC Cancer Research Article BACKGROUND: Formulae of estimated glomerular filtration rate (eGFR) based on serum creatinine (Scr) are routinely used in oncology patients, however, they are inaccurate in some populations. Our aim was to assess the agreement of eGFR formulae and thereby build a nomogram to predict the reliability of estimates. METHODS: Measured GFR (mGFR) using isotope from 445 oncology patients were compared with eGFR from six formulae (Cockcroft-Gault, Modification of Diet in Renal Disease (MDRD), modified MDRD formulae for Chinese (C-MDRD), Chronic Kidney Disease Epidemiology (CKD-EPI) Collaboration, Wright and full age spectrum (FAS)). Bias, precision and accuracy of eGFR formulae were examined. We also evaluated statistics of agreement: the total deviation index (TDI), the concordance correlation coefficient (CCC) and the coverage probability (CP). Multivariate logistic regression was applied to identify characteristics associated with inaccurate eGFR and construct a predictive nomogram. RESULTS: All eGFR formulae tended to overestimate the eGFR. The percentage of patients with eGFR within 30% the mGFR ranged from 38.0 to 62.8%. Cockcroft-Gault and MDRD showed low bias and high precision. The MDRD formula exhibited lowest TDI, meaning that 90% of estimations ranged from − 36 to 36% of mGFR. Multivariate logistic regression showed that inaccuracy of MDRD was found in elderly patients or in patients with eGFR greater than 120 ml/min. A nomogram was constructed to help oncologists to predict the risk of inaccuracy of eGFR. The calibration curve showed good agreement. CONCLUSIONS: Our results suggest that the error of eGFR by any formulae was common and wide in Chinese oncology patients. Our nomogram may assist oncologists in decision-making when mGFR is needed. BioMed Central 2020-06-08 /pmc/articles/PMC7278045/ /pubmed/32513123 http://dx.doi.org/10.1186/s12885-020-06997-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Cheng, Yichun Huang, Liu Han, Yunfeng Vanisha, Chummun Ge, Shuwang Xu, Gang A novel nomogram to predict the reliability of estimated glomerular filtration rate formulae in oncology patients |
title | A novel nomogram to predict the reliability of estimated glomerular filtration rate formulae in oncology patients |
title_full | A novel nomogram to predict the reliability of estimated glomerular filtration rate formulae in oncology patients |
title_fullStr | A novel nomogram to predict the reliability of estimated glomerular filtration rate formulae in oncology patients |
title_full_unstemmed | A novel nomogram to predict the reliability of estimated glomerular filtration rate formulae in oncology patients |
title_short | A novel nomogram to predict the reliability of estimated glomerular filtration rate formulae in oncology patients |
title_sort | novel nomogram to predict the reliability of estimated glomerular filtration rate formulae in oncology patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7278045/ https://www.ncbi.nlm.nih.gov/pubmed/32513123 http://dx.doi.org/10.1186/s12885-020-06997-w |
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