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The association and interaction analysis of hypertension and diabetes mellitus on diastolic heart failure in a high-risk population.
Meng, Xiang-Ying; Zhou, Yong; Zhang, Jin; Tang, Zi-Hui.
Afiliación
  • Meng XY; Department of Endocrinology and Metabolism, Dahua Hospital Shanghai, China.
  • Zhou Y; Department of Endocrinology and Metabolism, Dahua Hospital Shanghai, China.
  • Zhang J; Department of Cardiology, Fudan University Hua Shan Hospital Shanghai, China.
  • Tang ZH; Department of Endocrinology and Metabolism, Shanghai Tongji Hospital, Tongji University School of Medicine Shanghai, China.
Int J Clin Exp Med ; 8(11): 21311-8, 2015.
Article en En | MEDLINE | ID: mdl-26885071
OBJECTIVE: The purpose of this study was to evaluate the extent to which hypertension (HT) interacts with diabetes mellitus (DM) to affect diastolic heart failure (DHF) in a high-risk population. METHODS: We conducted a hospital-based case-control study to investigate the relationship between HT or DM and DHF in 251 patients (case: 133 patients with DHF; control: 118 patients without DHF). Echocardiography was used to assess left ventricular (LV) diastolic function. The association between HT or DM and DHF was assessed by multivariate logistic regression (MLR) analysis controlling for confounders. The effect of the interaction between HT and DM on DHF was assessed in MLR models. Interaction on an additive scale can be calculated by using the relative excess risk due to interaction (RERI), the proportion attributable to interaction (AP), and the synergy index (S). RESULTS: The MLR analyses showed that HT and DM were independent predictors of DHF after adjustment for potential confounders (OR = 2.35-3.14, P<0.05 for all models). DHF was affected by the interaction between HT and DM (ORInt = 3.11-4.31, P Int<0.1, RETI = 2.13-2.69, AP = 0.38-0.49 and S = 4.11-6.80). CONCLUSION: The findings provide evidence that HT and DM are independent predictors of DHF and that both risk factors act synergistically to influence DHF in a Chinese high-risk population.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Int J Clin Exp Med Año: 2015 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Int J Clin Exp Med Año: 2015 Tipo del documento: Article País de afiliación: China