Association and predictive value analysis for metabolic syndrome on systolic and diastolic heart failure in high-risk patients

BMC Cardiovascular Disorders

Research Article

Fangfang Zeng¹  Keqin Zhang²  Lin Wang²  Zi-Hui Tang³ 

[1] Department of Cardiology, Fudan University Huashan Hospital, Shanghai, China;Department of Endocrinology and Metabolism, Shanghai Tongji Hospital, Tongji University School of Medicine, Building 2nd, NO.389 Xincun Road, 200063, Shanghai, China;Department of Endocrinology and Metabolism, Shanghai Tongji Hospital, Tongji University School of Medicine, Building 2nd, NO.389 Xincun Road, 200063, Shanghai, China;Department of Cardiology, Fudan University Huashan Hospital, Shanghai, China;

关键词: Metabolic syndrome;    Diastolic heart failure;    Systolic heart failure;    High-risk patients;    association;   

DOI  :  10.1186/1471-2261-14-124

 received in 2014-02-20, accepted in 2014-09-18,  发布年份 2014

来源: Springer

【 摘 要 】

BackgroundThe purpose of this study was, in high-risk patients, to simultaneously estimate the effect of metabolic syndrome (MetS) on diastolic or systolic heart failure (DHF or SHF), to evaluate MetS predictive value for both outcomes.MethodWe retrospective enrolled 347 high-risk patients who were scheduled to undergo coronary angiography. They were categorized into DHF cases, SHF cases and reference group. The association of MetS with DHF or SHF was assessed by multinomial logistic regression model. The shared contributor to both outcomes was estimated by bivariate association analysis. The predictive performance of MetS severity score was evaluated using the area under the receiver-operating characteristic curve (AUC).ResultHypertension (HT) and triglycerides (TG) were detected to independently associate with DHF (P = 0.044 and 0.049, respectively), while HT and fasting plasma glucose (FPG) independently associate with SHF (P = 0.036 and 0.016, respectively). Bivariate association analysis showed that HT as a shared predictor to both outcomes (P = 0.028). MetS severity score significantly associated with DHF or SHF independently (P = 0.004 and 0.043, respectively), and was a shared predictor to both outcomes (P = 0.049), and showed a high value in predicting DHF and SHF (AUC = 0.701 and 0.722, respectively).ConclusionOur findings signify that MetS is an independently shared predictor of DHF and SHF, and HT is also independently associated with both outcomes in high-risk patients. Prevalence of DHF or SHF trends to increase with increasing MetS severity showing high predictive value for both outcomes.

【 授权许可】

CC BY   
© Tang et al.; licensee BioMed Central Ltd. 2014