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Estimation of 24-h Urine Protein Excretion Using Urine Albumin-to-Creatinine Ratio from an In-Hospital Population
BACKGROUND: There is little information available on quantitative description of the relationship between urine albumin-to-creatinine ratio (ACR) and 24-h urine protein excretion (24-h UPE). Here, we developed a calculation tool for 24-h UPE using the urine ACR and limited information on the request...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Scientific Literature, Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8845447/ https://www.ncbi.nlm.nih.gov/pubmed/35145052 http://dx.doi.org/10.12659/MSM.934307 |
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author | Liu, Xin Zhao, Yonghong Feng, Yunlin |
author_facet | Liu, Xin Zhao, Yonghong Feng, Yunlin |
author_sort | Liu, Xin |
collection | PubMed |
description | BACKGROUND: There is little information available on quantitative description of the relationship between urine albumin-to-creatinine ratio (ACR) and 24-h urine protein excretion (24-h UPE). Here, we developed a calculation tool for 24-h UPE using the urine ACR and limited information on the request form. MATERIAL/METHODS: This was a retrospective and observational study. All individuals with same-day urine ACR and 24-h UPE tests in Sichuan Provincial People’s Hospital from September 1, 2018 to December 31, 2019 were enrolled. Correlation and agreement between urine ACR and 24-h UPE were evaluated using correlation analysis and an intraclass correlation coefficient, respectively. The Durbin-Watson test and ANOVA were used to assess the performance of the calculation tool, and reliability of the prediction equation was evaluated in the validation group using residual error analysis. RESULTS: A total of 906 participants were enrolled, including 639 participants in the development group and 267 in the validation group. Natural logarithm transformation was applied to remove skewness. Natural logarithm-transformed urine ACR correlated well with natural-logarithm-transformed 24-h UPE (Pearson coefficient=0.908; P<0.001) and the agreement was consistently good (overall ICC=0.938; 95% CI: 0.928–0.947; P<0.001). The multivariable regression model had good performance (R(2)=0.864) and high accuracy, demonstrated by results of residual error analysis. CONCLUSIONS: We provide a practical calculation tool to estimate total protein excretion using urine ACR and readily accessible variables. However, 24-h UPE is still mandatory when proteinuria is over 10 g/day or when most proteinuria may not be of glomerular origin. |
format | Online Article Text |
id | pubmed-8845447 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | International Scientific Literature, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88454472022-03-11 Estimation of 24-h Urine Protein Excretion Using Urine Albumin-to-Creatinine Ratio from an In-Hospital Population Liu, Xin Zhao, Yonghong Feng, Yunlin Med Sci Monit Clinical Research BACKGROUND: There is little information available on quantitative description of the relationship between urine albumin-to-creatinine ratio (ACR) and 24-h urine protein excretion (24-h UPE). Here, we developed a calculation tool for 24-h UPE using the urine ACR and limited information on the request form. MATERIAL/METHODS: This was a retrospective and observational study. All individuals with same-day urine ACR and 24-h UPE tests in Sichuan Provincial People’s Hospital from September 1, 2018 to December 31, 2019 were enrolled. Correlation and agreement between urine ACR and 24-h UPE were evaluated using correlation analysis and an intraclass correlation coefficient, respectively. The Durbin-Watson test and ANOVA were used to assess the performance of the calculation tool, and reliability of the prediction equation was evaluated in the validation group using residual error analysis. RESULTS: A total of 906 participants were enrolled, including 639 participants in the development group and 267 in the validation group. Natural logarithm transformation was applied to remove skewness. Natural logarithm-transformed urine ACR correlated well with natural-logarithm-transformed 24-h UPE (Pearson coefficient=0.908; P<0.001) and the agreement was consistently good (overall ICC=0.938; 95% CI: 0.928–0.947; P<0.001). The multivariable regression model had good performance (R(2)=0.864) and high accuracy, demonstrated by results of residual error analysis. CONCLUSIONS: We provide a practical calculation tool to estimate total protein excretion using urine ACR and readily accessible variables. However, 24-h UPE is still mandatory when proteinuria is over 10 g/day or when most proteinuria may not be of glomerular origin. International Scientific Literature, Inc. 2022-02-11 /pmc/articles/PMC8845447/ /pubmed/35145052 http://dx.doi.org/10.12659/MSM.934307 Text en © Med Sci Monit, 2022 https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) ) |
spellingShingle | Clinical Research Liu, Xin Zhao, Yonghong Feng, Yunlin Estimation of 24-h Urine Protein Excretion Using Urine Albumin-to-Creatinine Ratio from an In-Hospital Population |
title | Estimation of 24-h Urine Protein Excretion Using Urine Albumin-to-Creatinine Ratio from an In-Hospital Population |
title_full | Estimation of 24-h Urine Protein Excretion Using Urine Albumin-to-Creatinine Ratio from an In-Hospital Population |
title_fullStr | Estimation of 24-h Urine Protein Excretion Using Urine Albumin-to-Creatinine Ratio from an In-Hospital Population |
title_full_unstemmed | Estimation of 24-h Urine Protein Excretion Using Urine Albumin-to-Creatinine Ratio from an In-Hospital Population |
title_short | Estimation of 24-h Urine Protein Excretion Using Urine Albumin-to-Creatinine Ratio from an In-Hospital Population |
title_sort | estimation of 24-h urine protein excretion using urine albumin-to-creatinine ratio from an in-hospital population |
topic | Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8845447/ https://www.ncbi.nlm.nih.gov/pubmed/35145052 http://dx.doi.org/10.12659/MSM.934307 |
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