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Quantification of uric acid in vasculature of patients with gout using dual-energy computed tomography

BACKGROUND: Gout, caused by hyperuricemia and subsequent deposition of aggregated monosodium urate crystals (MSU) in the joints or extra-articular regions, is the most common inflammatory arthritis. There is increasing evidence that gout is an independent risk factor for hypertension, cardiovascular...

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Autores principales: Barazani, Sharon Hannah, Chi, Wei-Wei, Pyzik, Renata, Chang, Helena, Jacobi, Adam, O’Donnell, Tom, Fayad, Zahi A, Ali, Yousaf, Mani, Venkatesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7457162/
https://www.ncbi.nlm.nih.gov/pubmed/32913564
http://dx.doi.org/10.4329/wjr.v12.i8.184
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author Barazani, Sharon Hannah
Chi, Wei-Wei
Pyzik, Renata
Chang, Helena
Jacobi, Adam
O’Donnell, Tom
Fayad, Zahi A
Ali, Yousaf
Mani, Venkatesh
author_facet Barazani, Sharon Hannah
Chi, Wei-Wei
Pyzik, Renata
Chang, Helena
Jacobi, Adam
O’Donnell, Tom
Fayad, Zahi A
Ali, Yousaf
Mani, Venkatesh
author_sort Barazani, Sharon Hannah
collection PubMed
description BACKGROUND: Gout, caused by hyperuricemia and subsequent deposition of aggregated monosodium urate crystals (MSU) in the joints or extra-articular regions, is the most common inflammatory arthritis. There is increasing evidence that gout is an independent risk factor for hypertension, cardiovascular disease progression and mortality. AIM: To evaluate if dual energy computed tomography (DECT) could identify MSU within vessel walls of gout patients, and if MSU deposits within the vasculature differed between patients with gout and controls. This study may help elucidate why individuals with gout have increased risk for cardiovascular disease. METHODS: 31 gout patients and 18 controls underwent DECT scans of the chest and abdomen. A material decomposition algorithm was used to distinguish regions of MSU (coded green), and calcifications (coded purple) from soft tissue (uncoded). Volume of green regions was calculated using a semi-automated volume assessment program. Between-group differences were analyzed using Mann-Whitney U exact test and nonparametric rank regression. RESULTS: Gout patients had significantly higher volume of MSU within the aorta compared to controls [Median (Min-Max) of 43.9 (0-1113.5) vs 2.9 (0-219.4), P = 0.01]. Number of deposits was higher in gout patients compared to controls [Median (Min-Max) of 20 (0-739) vs 1.5 (0-104), P = 0.008]. However, the difference was insignificant after adjustment for age, gender, history of cardiovascular disease and diabetes. Increased age was positively associated with total urate volume (r(s) = 0.64; 95% confidence interval: 0.43-0.78). CONCLUSION: This pilot study showed that DECT can quantify vascular urate deposits with variation across groups, with gout patients possibly having higher deposition. This relationship disappeared when adjusted for age, and there was a positive relationship between age and MSU deposition. While this study does not prove that green coded regions are truly MSU deposition, it corroborates recent studies that show the presence of vascular deposition.
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spelling pubmed-74571622020-09-09 Quantification of uric acid in vasculature of patients with gout using dual-energy computed tomography Barazani, Sharon Hannah Chi, Wei-Wei Pyzik, Renata Chang, Helena Jacobi, Adam O’Donnell, Tom Fayad, Zahi A Ali, Yousaf Mani, Venkatesh World J Radiol Observational Study BACKGROUND: Gout, caused by hyperuricemia and subsequent deposition of aggregated monosodium urate crystals (MSU) in the joints or extra-articular regions, is the most common inflammatory arthritis. There is increasing evidence that gout is an independent risk factor for hypertension, cardiovascular disease progression and mortality. AIM: To evaluate if dual energy computed tomography (DECT) could identify MSU within vessel walls of gout patients, and if MSU deposits within the vasculature differed between patients with gout and controls. This study may help elucidate why individuals with gout have increased risk for cardiovascular disease. METHODS: 31 gout patients and 18 controls underwent DECT scans of the chest and abdomen. A material decomposition algorithm was used to distinguish regions of MSU (coded green), and calcifications (coded purple) from soft tissue (uncoded). Volume of green regions was calculated using a semi-automated volume assessment program. Between-group differences were analyzed using Mann-Whitney U exact test and nonparametric rank regression. RESULTS: Gout patients had significantly higher volume of MSU within the aorta compared to controls [Median (Min-Max) of 43.9 (0-1113.5) vs 2.9 (0-219.4), P = 0.01]. Number of deposits was higher in gout patients compared to controls [Median (Min-Max) of 20 (0-739) vs 1.5 (0-104), P = 0.008]. However, the difference was insignificant after adjustment for age, gender, history of cardiovascular disease and diabetes. Increased age was positively associated with total urate volume (r(s) = 0.64; 95% confidence interval: 0.43-0.78). CONCLUSION: This pilot study showed that DECT can quantify vascular urate deposits with variation across groups, with gout patients possibly having higher deposition. This relationship disappeared when adjusted for age, and there was a positive relationship between age and MSU deposition. While this study does not prove that green coded regions are truly MSU deposition, it corroborates recent studies that show the presence of vascular deposition. Baishideng Publishing Group Inc 2020-08-28 2020-08-28 /pmc/articles/PMC7457162/ /pubmed/32913564 http://dx.doi.org/10.4329/wjr.v12.i8.184 Text en ©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Observational Study
Barazani, Sharon Hannah
Chi, Wei-Wei
Pyzik, Renata
Chang, Helena
Jacobi, Adam
O’Donnell, Tom
Fayad, Zahi A
Ali, Yousaf
Mani, Venkatesh
Quantification of uric acid in vasculature of patients with gout using dual-energy computed tomography
title Quantification of uric acid in vasculature of patients with gout using dual-energy computed tomography
title_full Quantification of uric acid in vasculature of patients with gout using dual-energy computed tomography
title_fullStr Quantification of uric acid in vasculature of patients with gout using dual-energy computed tomography
title_full_unstemmed Quantification of uric acid in vasculature of patients with gout using dual-energy computed tomography
title_short Quantification of uric acid in vasculature of patients with gout using dual-energy computed tomography
title_sort quantification of uric acid in vasculature of patients with gout using dual-energy computed tomography
topic Observational Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7457162/
https://www.ncbi.nlm.nih.gov/pubmed/32913564
http://dx.doi.org/10.4329/wjr.v12.i8.184
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