Z-H Tang1, Z Fang, F Zeng, Z Li, L Zhou. 1. Department of Endocrinology and Metabolism, Fudan University Huashan Hospital, No 12 Wulumuqi Mid Road, Building 0#, Jing'an District, Shanghai, 200040, China.
Abstract
BACKGROUND: We aimed to assess the extent to which metabolic syndrome (MetS) and serum uric acid (UA) and its interaction impact on diastolic heart failure (DHF). MATERIALS AND METHODS: A total of 133 patients with DHF and 118 age- and gender-matched control subjects were studied. Echocardiography was used to assess left ventricular (LV) diastolic function. MetS was defined by suggestions of international diabetes federation (IDF, 2005). The association between MetS or UA and DHF was assessed by multivariate logistic regression analysis (MLR) controlling confounders. The interaction between MetS and UA on DHF was assessed by generalized linear model (GLM) and MLR analysis. RESULTS: MetS and UA were independent predictors of DHF after adjustment for all variables (OR=0.833~2.27, ORUA=1.003 and p<0.05 for all). There was an interaction effect of MetS and UA on DHF (ORInt=2.41~2.66, pInt<0.05). CONCLUSION: The findings of the present study suggested that MetS or UA is associated with DHF, and that MetS interacts with UA to impact on DHF.
BACKGROUND: We aimed to assess the extent to which metabolic syndrome (MetS) and serum uric acid (UA) and its interaction impact on diastolic heart failure (DHF). MATERIALS AND METHODS: A total of 133 patients with DHF and 118 age- and gender-matched control subjects were studied. Echocardiography was used to assess left ventricular (LV) diastolic function. MetS was defined by suggestions of international diabetes federation (IDF, 2005). The association between MetS or UA and DHF was assessed by multivariate logistic regression analysis (MLR) controlling confounders. The interaction between MetS and UA on DHF was assessed by generalized linear model (GLM) and MLR analysis. RESULTS: MetS and UA were independent predictors of DHF after adjustment for all variables (OR=0.833~2.27, ORUA=1.003 and p<0.05 for all). There was an interaction effect of MetS and UA on DHF (ORInt=2.41~2.66, pInt<0.05). CONCLUSION: The findings of the present study suggested that MetS or UA is associated with DHF, and that MetS interacts with UA to impact on DHF.
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