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Analysis of Risk Factors for Changes in the Renal Two-Dimensional Image in Gout Patients
OBJECTIVE: To explore the effects of different blood uric acid levels in gout patients on the two-dimensional image of the kidney and the risk factors for gout-related kidney damage for providing clinical evidence to enable early prevention and treatment of gout-related kidney damage. METHODS: We ob...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8502035/ https://www.ncbi.nlm.nih.gov/pubmed/34675606 http://dx.doi.org/10.2147/IJGM.S336220 |
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author | Dang, Wantai Xu, Xiaohui Luo, Danling Luo, Hui Hu, Jin Zhou, Jingguo Liu, Jian You, Lanlan |
author_facet | Dang, Wantai Xu, Xiaohui Luo, Danling Luo, Hui Hu, Jin Zhou, Jingguo Liu, Jian You, Lanlan |
author_sort | Dang, Wantai |
collection | PubMed |
description | OBJECTIVE: To explore the effects of different blood uric acid levels in gout patients on the two-dimensional image of the kidney and the risk factors for gout-related kidney damage for providing clinical evidence to enable early prevention and treatment of gout-related kidney damage. METHODS: We obtained information of 227 patients with primary gout and estimated the association between two-dimensional kidney images and clinical indicators using binary logistic regression. RESULTS: Our study showed that different uric acid levels, age, disease course, cystatin C (CysC) level, and γ-glutamyl transpeptidase level were correlated with echo of the renal medulla (P < 0.05). CysC level was correlated with the renal cortex thickness and kidney stones in different uric acid-level groups (P < 0.05). Disease course, aspartate transaminase (AST) level, creatinine (CREA) level, and tophi were risk factors for renal cortex thinning in gout patients (P = 0.045, 0.026, 0.004, 0.006, respectively). The disease course, platelet (PLT) count, and high-density lipoprotein (HDL-C) level were risk factors for kidney stone formation in gout patients (P = 0.037, 0.022, 0.023, respectively), while CysC level and C-reactive protein (CRP) level were risk factors for increased renal medulla echo in these patients (P = 0.022, 0.028, respectively). CONCLUSION: Our study revealed disease course, AST level, CREA level, tophi, PLT count, HDL-C level, CysC level and CRP level may be important predictors of renal image changes. |
format | Online Article Text |
id | pubmed-8502035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-85020352021-10-20 Analysis of Risk Factors for Changes in the Renal Two-Dimensional Image in Gout Patients Dang, Wantai Xu, Xiaohui Luo, Danling Luo, Hui Hu, Jin Zhou, Jingguo Liu, Jian You, Lanlan Int J Gen Med Original Research OBJECTIVE: To explore the effects of different blood uric acid levels in gout patients on the two-dimensional image of the kidney and the risk factors for gout-related kidney damage for providing clinical evidence to enable early prevention and treatment of gout-related kidney damage. METHODS: We obtained information of 227 patients with primary gout and estimated the association between two-dimensional kidney images and clinical indicators using binary logistic regression. RESULTS: Our study showed that different uric acid levels, age, disease course, cystatin C (CysC) level, and γ-glutamyl transpeptidase level were correlated with echo of the renal medulla (P < 0.05). CysC level was correlated with the renal cortex thickness and kidney stones in different uric acid-level groups (P < 0.05). Disease course, aspartate transaminase (AST) level, creatinine (CREA) level, and tophi were risk factors for renal cortex thinning in gout patients (P = 0.045, 0.026, 0.004, 0.006, respectively). The disease course, platelet (PLT) count, and high-density lipoprotein (HDL-C) level were risk factors for kidney stone formation in gout patients (P = 0.037, 0.022, 0.023, respectively), while CysC level and C-reactive protein (CRP) level were risk factors for increased renal medulla echo in these patients (P = 0.022, 0.028, respectively). CONCLUSION: Our study revealed disease course, AST level, CREA level, tophi, PLT count, HDL-C level, CysC level and CRP level may be important predictors of renal image changes. Dove 2021-10-05 /pmc/articles/PMC8502035/ /pubmed/34675606 http://dx.doi.org/10.2147/IJGM.S336220 Text en © 2021 Dang et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Dang, Wantai Xu, Xiaohui Luo, Danling Luo, Hui Hu, Jin Zhou, Jingguo Liu, Jian You, Lanlan Analysis of Risk Factors for Changes in the Renal Two-Dimensional Image in Gout Patients |
title | Analysis of Risk Factors for Changes in the Renal Two-Dimensional Image in Gout Patients |
title_full | Analysis of Risk Factors for Changes in the Renal Two-Dimensional Image in Gout Patients |
title_fullStr | Analysis of Risk Factors for Changes in the Renal Two-Dimensional Image in Gout Patients |
title_full_unstemmed | Analysis of Risk Factors for Changes in the Renal Two-Dimensional Image in Gout Patients |
title_short | Analysis of Risk Factors for Changes in the Renal Two-Dimensional Image in Gout Patients |
title_sort | analysis of risk factors for changes in the renal two-dimensional image in gout patients |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8502035/ https://www.ncbi.nlm.nih.gov/pubmed/34675606 http://dx.doi.org/10.2147/IJGM.S336220 |
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