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首页> 外文期刊>Metabolism: Clinical and Experimental >Predictors for development of hyperuricemia: an 8-year longitudinal study in middle-aged Japanese men.
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Predictors for development of hyperuricemia: an 8-year longitudinal study in middle-aged Japanese men.

机译:高尿酸血症发展的预测因素:对日本中年男性的8年纵向研究。

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摘要

To identify the factors responsible for increases in serum uric acid (SUA), a cohort of 1,312 hyperuricemia-free (SUA < 7.5 mg/dL and no medication for hyperuricemia or hypertension) male office workers aged 30 to 52 years were examined annually for 8 successive years. Subjects who were found to have become hyperuricemic (SUA > or = 7.5 mg/dL) or who started medication for hyperuricemia during repeat surveys were defined as incidence cases. The SUA trend was also examined in 1,062 subjects for whom 9 consecutive SUA values were available and who did not start medication for hyperuricemia or hypertension during the observation period. Multivariate analyses, excluding the baseline SUA level as a factor in the Cox proportional-hazards model, indicated that age (negative), body mass index (BMI), log triglyceride level, hemoglobin A(1c) (HbA(1c)) level (negative), white blood cell count, and alcohol intake at study entry were significantly associated with the incidence of hyperuricemia. In the model including the baseline SUA level, baseline SUA level was the strongest factor for the incidence of hyperuricemia, and BMI, white blood cell count, and alcohol intake at study entry remained as independent factors. From stepwise linear regression analyses for SUA slope, excluding the baseline SUA level as a factor, significant correlates with SUA slope were, in order of their relative importance, slopes of BMI, HbA(1c) (negative), blood urea nitrogen, log triglyceride level, total protein, and baseline levels of hematocrit (negative), white blood cells, and HbA(1c) (negative). In stepwise linear regression analyses, including the baseline SUA level as a factor, SUA level (negative) and alcohol intake at study entry emerged as significant factors for SUA slope. The cumulative percentage of variation for SUA slope was 25.6%. In conclusion, obesity, alcohol intake, and multimetabolic disorders were determined to be independent predictors for the development of hyperuricemia. In addition, the white blood cell level may be a contributory factor. Copyright 2001 by W.B. Saunders Company
机译:为了确定导致血清尿酸(SUA)增加的因素,每年对30到52岁的男性上班族进行检查,研究对象是1,312名无高尿酸血症(SUA <7.5 mg / dL,且未治疗高尿酸血症或高血压的人)。连续几年。发现患有高尿酸血症(SUA>或= 7.5 mg / dL)或在重复调查中开始服用高尿酸血症药物的受试者定义为发病病例。还对1062名受试者的SUA趋势进行了检查,这些受试者有9个连续的SUA值并且在观察期内未开始治疗高尿酸血症或高血压。多变量分析(不包括基线SUA水平作为Cox比例风险模型中的一个因素)表明年龄(阴性),体重指数(BMI),甘油三酸酯水平,血红蛋白A(1c)(HbA(1c))水平(阴性),白细胞计数和研究开始时饮酒与高尿酸血症的发生率显着相关。在包括基线SUA水平的模型中,基线SUA水平是高尿酸血症发生率的最强因素,研究开始时的BMI,白细胞计数和酒精摄入仍然是独立因素。从SUA斜率的逐步线性回归分析(不包括基线SUA水平作为一个因素)来看,与SUA斜率显着相关的因素是BMI,HbA(1c)(负),血尿素氮,对数甘油三酸酯的斜率(按相对重要性排序)血细胞比容(阴性),白细胞和HbA(1c)(阴性)的水平,总蛋白和基线水平。在逐步线性回归分析中,包括基线SUA水平作为一个因素,研究开始时的SUA水平(阴性)和饮酒量已成为SUA斜率的重要因素。 SUA斜率的累积变化百分比为25.6%。总之,肥胖,酒精摄入和代谢异常被确定为高尿酸血症发展的独立预测因子。另外,白细胞水平可能是一个促成因素。 W.B.版权所有2001桑德斯公司

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