59. To evaluate shared predictor of both SHF and DHF, bivariate associ ation analysis, with both outcomes as dependent variable selleck bio simultaneous, based on generalized linear model to include all components of MetS controlling for con founders was conducted to confirm HT to be a shared predictor of both outcomes. MetS severity v. s SHF and DHF The prevalence of DHF and SHF was increased with the increasing MetS severity score respectively. The prevalence of DHF was 8. 69%, 19. 41%, 27. 36%, 32. 00% and 35. 29% in five groups according to MetS se verity score, respectively. Similarly, the prevalence of SHF also increased with increasing MetS severity score. Patients with SHF accounted for 58. 82% in group with the top MetS severity score. Figure 1 showed that as MetS severity scores increased, prevalence of SHF and DHF also increased.

In addition, SHF prevalence was higher in each group than that of DHF. To estimate the association of MetS severity with SHF or DHF, univariate association analysis to include single predictor indicated MetS sever ity score significant association with SHF or DHF. Backward stepwise multi nomial LR model also signified that MetS severity score significantly associated with DHF or SHF independently. In patients with MetS severity score of 1, the OR of DHF was 1. 64, and OR of SHF was 1. 13. Bivari ate association analysis demonstrated that MetS severity score was a shared contributor to both DHF and SHF. To evaluate the predictive performance of MetS severity score for DHF and SHF, the area under the curve in a receiver op erating characteristics curve has been calculated.

The AUC was 0. 701 and 0. 722 for DHF and SHF, respectively, indicating MetS severity score has a high value in predicting DHF and SHF. Discussion We carried out a cross sectional study to evaluate the effect of metabolic factors on both DHF and SHF in Chinese high risk patients. Of a total of 347 subjects, 71. 18%, 49. 2% and 24. 78% patients had HT, DM and CAD, respectively. Patients with DHF and or SHF were present in 64. 27% of total sample. The CAD prevalence was no significant among three groups. This is partly be cause we recruited high risk patients who were with established CAD or additional high risk cardiovascular disease. Most of the demographic factors, biochemical characteristics and echocardiographic measurements were significantly differed among the three groups.

In the sellckchem present study, Doppler echocardiography has become a well accepted, reliable noninvasive tool to measure LV dia stolic function in order to diagnose DHF. The main finding of this study was that MetS strongly and independently associated with DHF and SHF, as an independent shared predictor with a high value in pre dicting both outcomes in high risk patients. Backward stepwise multinomial LR analysis implied that MetS was independently associated with both DHF and SHF, re spectively.