Publication: The association of metabolic parameters with gout in thai adults
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Issued Date
2021
Resource Type
Language
eng
File Type
application/pdf
ISSN
1252208
Other identifier(s)
2-s2.0-85115991787
Rights Holder(s)
Scopus
Bibliographic Citation
Journal of the Medical Association of Thailand. Vol 104, No.9 (2021), p.S23-S30
Suggested Citation
Khuancharee K., Wannaiampikul S., Sangsawangchot P., Tanunyutthawongse C. The association of metabolic parameters with gout in thai adults. Journal of the Medical Association of Thailand. Vol 104, No.9 (2021), p.S23-S30. doi:10.35755/jmedassocthai.2021.S03.00011 Retrieved from: https://hdl.handle.net/20.500.14740/4022
Abstract
Background: Despite the close relationships between metabolic parameters and gout, there is no data concerning this relation in the Thai adult population. Objective: The aim of the present study was to determine the association between metabolic parameters and gout. Materials and Methods: We conducted a 1:2 case-control study that included 90 gout patients as the case and 180 non-gout patients as the control group. Gout was defined as Rome criteria and confirmed by a rheumatologist. Diagnosis of metabolic syndrome was based on ATP III criteria. Multivariate unconditional logistic regression analysis was used to analyze the data and presented in terms of adjusted odds ratio (aOR) and 95% confidence interval (95% CI). Results: Our results revealed that gout was significantly associated with age increase every 10 years, men, high fasting blood glucose (FBG), and high blood pressure (BP). The aOR and 95% CI were 1.64 (1.29 to 2.07), 14.51 (6.17 to 34.27), 2.16 (1.08 to 4.46), and 2.01 (1.88 to 4.62), respectively. In addition, obesity with metabolic syndrome participants had an increased risk of gout (aOR = 2.78, 95% CI = 1.16 to 6.67). Conclusion: The present study indicates a significant association between gout and older age, men, high fasting blood glucose, and high blood pressure among Thai adults. Furthermore, a greater body mass index with metabolic syndrome increases the risk of gout. Subjects with these risk factors should be provided with appropriate management and treatment options. © JOURNAL OF THE MEDICAL ASSOCIATION OF THAILAND, 2021.
Subject(s)
Glucose
High density lipoprotein cholesterol
Low density lipoprotein cholesterol
Triacylglycerol
Uric acid
Adult
Article
Blood sampling
Body mass
Case control study
Cholesterol blood level
Controlled study
Diabetes mellitus
Diastolic blood pressure
Dyslipidemia
Female
Glucose blood level
Gout
Human
Hypertension
Hypertriglyceridemia
Major clinical study
Male
Metabolic parameters
Metabolic syndrome X
Obesity
Rheumatologist
Systolic blood pressure
Triacylglycerol blood level
Uric acid blood level
High density lipoprotein cholesterol
Low density lipoprotein cholesterol
Triacylglycerol
Uric acid
Adult
Article
Blood sampling
Body mass
Case control study
Cholesterol blood level
Controlled study
Diabetes mellitus
Diastolic blood pressure
Dyslipidemia
Female
Glucose blood level
Gout
Human
Hypertension
Hypertriglyceridemia
Major clinical study
Male
Metabolic parameters
Metabolic syndrome X
Obesity
Rheumatologist
Systolic blood pressure
Triacylglycerol blood level
Uric acid blood level
