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• W754332543 abstract "To investigate the influence of MetS (metabolic syndrome) in combination with hyperuricemia on left ventricular hypertrophy (LVH) in residents in the rural area of Northeast China.We performed a cross-sectional baseline data analysis of 11,170 subjects (mean age: 54±11years) recruited from the rural area of China. Anthropometric indicators were measured according to standard methods. MetS was defined by the ATP III modified criteria. Hyperuricemia was defined according to sex-specific serum uric acid levels (SUA): SUA≥7.0mg/dL for male and≥6.0mg/dL for female. Four groups were listed: normouricemia non-MetS, hyperuricemia non-MetS, MetS normouricemia and hyperuricemia MetS.Left ventricular mass index for height(2.7) (LVMH(2.7)) in female was significantly higher in hyperuricemia MetS group than that in normouricemia non-MetS (52.43±16.60 vs. 40.04±10.72g/m(2.7), P<0.001) group. Similar result was observed in men (48.93±13.17g/m(2.7) vs. 43.63±11.90g/m(2.7), P<0.001). The result of multiple regression analysis indicated that hyperuricemia MetS group had higher risk of LVH than other three groups (OR: 3.427 for female, P<0.001, OR: 1.987 for male, P<0.001). Moreover, female subjects in MetS normouricemia group [OR (95% CI): 2.313 (1.991-2.686)] had greater risk of LVH than that in hyperuricemia non-MetS group [OR (95% CI): 1.917 (1.166-3.151)]. Hyperuricemia non-MetS was found to be significantly and independently associated with LVH in women, but not in men.Our study finds that the combination of hyperuricemia and MetS are independent and powerful predictor for LVH in rural area of Northeast Chinese. Women with MetS in combination with hyperuricemia have higher risk of LVH than men. It seems that MetS has greater effect on LVH than hyperuricemia does in women but not in men." @default.
• W754332543 created "2016-06-24" @default.
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• W754332543 date "2015-07-01" @default.
• W754332543 modified "2023-10-14" @default.
• W754332543 title "Combination of hyperuricemia and metabolic syndrome is an independent and powerful predictor for left ventricular hypertrophy in rural Chinese" @default.
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• W754332543 doi "https://doi.org/10.1016/j.ando.2015.01.002" @default.
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