Dhananjay Yadav1, Eun Soo Lee2, Hong Min Kim2, Eunhee Choi3, Eun Young Lee4, Jung Soo Lim2, Song Vogue Ahn5, Sang Baek Koh5, Choon Hee Chung6. 1. Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea; Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea. 2. Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea. 3. Institute of Lifestyle Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea. 4. Department of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea. 5. Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea; Institute of Genomic Cohort, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea. 6. Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea; Institute of Lifestyle Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea. Electronic address: cchung@yonsei.ac.kr.
Abstract
OBJECTIVE: Recent studies have demonstrated an association between serum uric acid (SUA) levels and metabolic syndrome (MetS). However, paucity of available data regarding the cause and effect relationship between SUA and MetS in healthy adults is still a big challenge which remains to be studied. Therefore, we investigated whether SUA predicts new onset of MetS in a population-based cohort study. METHODS: The study included 1590 adults (661 men and 929 women) aged 40-70 years without MetS at baseline (2005-2008) and subjects were prospectively followed for 2.6 years. To evaluate the relationship between SUA and MetS, we divided the aforementioned subjects into quintiles (SUA-I to SUA-V) from the lowest to the highest values of SUA. SUA was measured by the enzymatic colorimetric method. We used category-free net reclassification improvement (NRI) and integrated discrimination improvement (IDI) to characterize the performance of predicted model. RESULTS: During a mean of 2.6 years of follow-up, 261(16.4%) adults developed MetS. MetS variables were significantly related to the baseline SUA level. Waist circumference (WC), blood pressure (BP), and serum triglyceride (TG) were significantly higher in the highest quintile of SUA compared to the lowest SUA quintile in men and women. After adjustment for age, total cholesterol and low-density lipoprotein cholesterol (LDL-C) in men and women, subjects in the fifth quintiles of SUA showed significantly higher ORs for incident MetS. The association between hyperuricemia and new onset of MetS were consistently stronger in women than men. Additionally, among women, we found an improvement in the area under the ROC curve in the models that added SUA to core components of MetS. CONCLUSION: Our study suggests that SUA is significantly correlated with future risk of WC, BP, TG and may predicted as a risk factor for developing MetS. SUA may have a clinical role in predicting new-onset metabolic syndrome among women. Large prospective study is needed to reveal the clinical significance of SUA in metabolic disease.
OBJECTIVE: Recent studies have demonstrated an association between serum uric acid (SUA) levels and metabolic syndrome (MetS). However, paucity of available data regarding the cause and effect relationship between SUA and MetS in healthy adults is still a big challenge which remains to be studied. Therefore, we investigated whether SUA predicts new onset of MetS in a population-based cohort study. METHODS: The study included 1590 adults (661 men and 929 women) aged 40-70 years without MetS at baseline (2005-2008) and subjects were prospectively followed for 2.6 years. To evaluate the relationship between SUA and MetS, we divided the aforementioned subjects into quintiles (SUA-I to SUA-V) from the lowest to the highest values of SUA. SUA was measured by the enzymatic colorimetric method. We used category-free net reclassification improvement (NRI) and integrated discrimination improvement (IDI) to characterize the performance of predicted model. RESULTS: During a mean of 2.6 years of follow-up, 261(16.4%) adults developed MetS. MetS variables were significantly related to the baseline SUA level. Waist circumference (WC), blood pressure (BP), and serum triglyceride (TG) were significantly higher in the highest quintile of SUA compared to the lowest SUA quintile in men and women. After adjustment for age, total cholesterol and low-density lipoprotein cholesterol (LDL-C) in men and women, subjects in the fifth quintiles of SUA showed significantly higher ORs for incident MetS. The association between hyperuricemia and new onset of MetS were consistently stronger in women than men. Additionally, among women, we found an improvement in the area under the ROC curve in the models that added SUA to core components of MetS. CONCLUSION: Our study suggests that SUA is significantly correlated with future risk of WC, BP, TG and may predicted as a risk factor for developing MetS. SUA may have a clinical role in predicting new-onset metabolic syndrome among women. Large prospective study is needed to reveal the clinical significance of SUA in metabolic disease.
Authors: L D'Elia; A Giaquinto; F P Cappuccio; R Iacone; O Russo; P Strazzullo; F Galletti Journal: J Endocrinol Invest Date: 2019-11-05 Impact factor: 4.256