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Background  It has widely been proven that metabolic syndrome (MetS) increases the risk of ischemic heart disease ( IHD ). MetS is confirmed based upon insulin resistance ( IR ). Our aim of this study is to evaluate the role of MetS and  IR  in the prediction of  IHD  incidence.    Methods  A total of 404 non‐diabetic participants who underwent 75 g oral glucose tolerance test (75 g  OGTT ) were enrolled from 2001 to 2009. Risk factors for  IHD  were measured as well. The homeostatic index of  IR  ( HOMA ‐ IR ) and the homeostatic model assessment beta cell function ( HOMA ‐β) were calculated according to the homeostasis model assessment. Cox proportional‐hazard regression model was used to estimate hazard ratio ( HR ). All data were analyzed using  SPSS  21 software ( IBM , Armonk,  NY ,  USA ).    Results  In our study, the average follow‐up period was 6.7 years. Eighteen subjects of  IHD  incidence were recorded. After adjusting for age and sex, subjects with  IR  or hyperinsulinemia had a high risk of  IHD , the hazard ratio (95% confidence intervals) for  IHD  were 4.58 (1.59‐13.15), 4.25 (1.64‐11.91), respectively. The highest hazard ratio was 7.56 (2.27‐25.18) which was found among the subjects with both  IR  and hyperinsulinemia. In addition, the hazard ratio (95% confidence intervals) of subjects with MetS was 2.80(1.10‐7.09).    Conclusions   IR  and hyperinsulinemia are related to the risk of  IHD .  IR  combined with hyperinsulinemia may be superior to MetS for predicting the  IHD  incidence.

The association between insulin resistance, metabolic syndrome, and ischemic heart disease among Rumoi residents