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Metabolic syndrome: prevalence and risk factors in Korean gout patients
BACKGROUND/AIMS: We performed this study to investigate associations between metabolic syndrome, chronic kidney disease (CKD), and gout. METHODS: We reviewed the medical records of 151 patients with gout at the Department of Rheumatology in Korea University Ansan Hospital. The following measures wer...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Association of Internal Medicine
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030414/ https://www.ncbi.nlm.nih.gov/pubmed/27729624 http://dx.doi.org/10.3904/kjim.2016.062 |
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author | Jung, Jae Hyun Song, Gwan Gyu Ji, Jong Dae Lee, Young Ho Kim, Jae-Hoon Seo, Young Ho Choi, Sung Jae |
author_facet | Jung, Jae Hyun Song, Gwan Gyu Ji, Jong Dae Lee, Young Ho Kim, Jae-Hoon Seo, Young Ho Choi, Sung Jae |
author_sort | Jung, Jae Hyun |
collection | PubMed |
description | BACKGROUND/AIMS: We performed this study to investigate associations between metabolic syndrome, chronic kidney disease (CKD), and gout. METHODS: We reviewed the medical records of 151 patients with gout at the Department of Rheumatology in Korea University Ansan Hospital. The following measures were examined: waist circumference, blood pressure, alcohol consumption, and levels of triglyceride, high density lipoprotein cholesterol, fasting serum glucose, serum uric acid (SUA), creatinine, insulin, and C-peptide. We assessed metabolic syndrome by the homeostasis model assessment of insulin resistance (HOMA-IR) index and renal function by the Modification of Diet in Renal Disease equation; patients were classified according to World Health Organization Asia-Pacific obesity criteria. RESULTS: The prevalence of metabolic syndrome in gout patients (50.8%) was higher than in non-gout patients. The mean SUA level was significantly higher in gout patients with metabolic syndrome (9.13 ± 3.15 mg/dL) than in gout patients without metabolic syndrome (8.14 ± 2.07 mg/dL). The mean SUA level was also significantly higher in patients with gout and CKD (9.55 ± 2.86 mg/dL) than in patients with gout but no CKD (7.74 ± 2.27 mg/dL). In gout patients, HOMA-IR was positively correlated with waist circumference (r = 0.409, p = 0.001). CONCLUSIONS: The prevalence of metabolic syndrome in patients with gout was 50.8%, which is higher than the prevalence in the general Korean population. Hyperuricemia in gout patients was correlated with metabolic syndrome and CKD. Insulin resistance may provide clues to better understand the relationship between metabolic syndrome, CKD, and gout. |
format | Online Article Text |
id | pubmed-6030414 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | The Korean Association of Internal Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-60304142018-07-06 Metabolic syndrome: prevalence and risk factors in Korean gout patients Jung, Jae Hyun Song, Gwan Gyu Ji, Jong Dae Lee, Young Ho Kim, Jae-Hoon Seo, Young Ho Choi, Sung Jae Korean J Intern Med Original Article BACKGROUND/AIMS: We performed this study to investigate associations between metabolic syndrome, chronic kidney disease (CKD), and gout. METHODS: We reviewed the medical records of 151 patients with gout at the Department of Rheumatology in Korea University Ansan Hospital. The following measures were examined: waist circumference, blood pressure, alcohol consumption, and levels of triglyceride, high density lipoprotein cholesterol, fasting serum glucose, serum uric acid (SUA), creatinine, insulin, and C-peptide. We assessed metabolic syndrome by the homeostasis model assessment of insulin resistance (HOMA-IR) index and renal function by the Modification of Diet in Renal Disease equation; patients were classified according to World Health Organization Asia-Pacific obesity criteria. RESULTS: The prevalence of metabolic syndrome in gout patients (50.8%) was higher than in non-gout patients. The mean SUA level was significantly higher in gout patients with metabolic syndrome (9.13 ± 3.15 mg/dL) than in gout patients without metabolic syndrome (8.14 ± 2.07 mg/dL). The mean SUA level was also significantly higher in patients with gout and CKD (9.55 ± 2.86 mg/dL) than in patients with gout but no CKD (7.74 ± 2.27 mg/dL). In gout patients, HOMA-IR was positively correlated with waist circumference (r = 0.409, p = 0.001). CONCLUSIONS: The prevalence of metabolic syndrome in patients with gout was 50.8%, which is higher than the prevalence in the general Korean population. Hyperuricemia in gout patients was correlated with metabolic syndrome and CKD. Insulin resistance may provide clues to better understand the relationship between metabolic syndrome, CKD, and gout. The Korean Association of Internal Medicine 2018-07 2016-10-12 /pmc/articles/PMC6030414/ /pubmed/27729624 http://dx.doi.org/10.3904/kjim.2016.062 Text en Copyright © 2018 The Korean Association of Internal Medicine This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Jung, Jae Hyun Song, Gwan Gyu Ji, Jong Dae Lee, Young Ho Kim, Jae-Hoon Seo, Young Ho Choi, Sung Jae Metabolic syndrome: prevalence and risk factors in Korean gout patients |
title | Metabolic syndrome: prevalence and risk factors in Korean gout patients |
title_full | Metabolic syndrome: prevalence and risk factors in Korean gout patients |
title_fullStr | Metabolic syndrome: prevalence and risk factors in Korean gout patients |
title_full_unstemmed | Metabolic syndrome: prevalence and risk factors in Korean gout patients |
title_short | Metabolic syndrome: prevalence and risk factors in Korean gout patients |
title_sort | metabolic syndrome: prevalence and risk factors in korean gout patients |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030414/ https://www.ncbi.nlm.nih.gov/pubmed/27729624 http://dx.doi.org/10.3904/kjim.2016.062 |
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