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歷 年 稿 件 內 容
 
*類別: C組-生化、血清免疫
* 姓名: 張錦標
投稿種類: 口頭
*中文投稿標題: 應用血清尿酸濃度來預測未來代謝性症候群與第二型糖尿病的角色
*中文作者姓名列: 張錦標
*中文服務單位: 國防醫學中心病理部三軍總醫院臨床病理科
*英文投稿標題: The role of Serum Uric Acid for Predicting Future Metabolic Syndrome and Type 2 Diabetes in Elderly
*英文作者姓名列: Jin-Biou Chang
*英文服務單位: Department of Pathology, National Defense Medical Center, Division of Clinical Pathology, Tri-Service General Hospital, Taipei, Taiwan
* 投稿摘要: Objective: Low-grade inflammation has been confirmed to be one of the pathophysiology for metabolic syndrome (MetS) and type 2 diabetes mellitus (T2DM). Uric acid (UA) is a pro-oxidant that can lead to vascular endothelial dysfunction and inflammation. The use of serum UA to predict MetS and T2DM among older people has not been established. Design: A cross-sectional and longitudinal study Setting/Participants: 18,907 elderly (9,732 men, 9,175 women) aged above 65 years, enrolled from health check-up centers, were classified into three subgroups by 10-year intervals (young old 65-74 years, YO; old old 75-84 years, OO; and oldest old 85-94 years, ODO), with the average follow-up period of 4.3 years. Measurements: The optimal cut-off values of baseline UA to predict future MetS and T2DM were determined by the receiving operating characteristic (ROC) curve. By using these UA cut-off values, the participants were divided into normal- and high-UA. Cox proportional hazards model was applied to calculate hazard ratio (HR) for subjects with high UA levels to have future MetS and T2DM. In addition, Kaplan-Meirer plots and log rank test were performed to evaluate the time effect on the incidence of having MetS and T2DM between two groups. Results: By using ROC curve, the optimal cut-off values of baseline UA were 6.0, 6.3 and 6.7 mg/dl in YO, OO, and ODO men, respectively; 5.5 and 4.9 mg/dl in YO and OO women, respectively (all p < 0.05). However, the cut-off values of UA in ODO women (6.1 mg/dl) failed to show its discriminant power (p = 0.13). The Cox regression showed that the YO subjects with higher baseline UA had a higher risk of developing MetS (HR 1.56, 1.58, for men and women, p < 0.001); as for T2DM the HR was 1.39 and 1.57. In OO men, the HR was 1.89 for having future MetS. However, no significant findings could be noted in the ODO group. The results of the Kaplan-Meire plots and log rank test also showed the same findings. Conclusion: Our study showed that old subjects with high level of UA will have a higher chance to have MetS and T2DM, particularly in the YO group (6.0 mg/dl for men and 5.5 mg/dl for women, respectively). Using UA as one of the metabolic biomarkers may help clinicians to early detect and prevent MetS and diabetes.
*關鍵字1 : Diabetes
*關鍵字2 : elderly
*關鍵字3 : inflammation
*關鍵字4 : metabolic syndrome
*關鍵字5 : uric acid
* 服務機關:
* 第一作者: 張錦標
* 身分字號: *****70107
其他投稿作者: Yen-Lin Chen
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其他投稿作者: Yi-Jen Hung
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其他投稿作者: Chang-Hsun Hsieh
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其他投稿作者: Chien-Hsing Lee
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其他投稿作者: Dee Pei
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其他投稿作者: Jiunn-Diann Lin
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其他投稿作者: Chung-Ze Wu
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上傳稿件檔:
審查委員意見: OK
審查委員意見: 同意
主任委員意見:
 
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