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Chinese Archives of General Surgery(Electronic Edition) ›› 2007, Vol. 01 ›› Issue (04): 220-222. doi: 10.3877/cma.j.issn.1674-0793.2007.04.010

• Original Articles • Previous Articles     Next Articles

Insulin resistance features on postoperative patients with gastric cancer

Cai-kun ZHANG1, Dong CHEN1, Lian-fang LU1, Yan-bing ZHOU,1(), Shu-yao ZUO1   

  1. 1.Department of General Surgery,the Affiliated Hospital of Qingdao Medical College,Qingdao 266003,China
  • Received:2007-10-09 Online:2007-12-01 Published:2024-12-19
  • Contact: Yan-bing ZHOU

Abstract:

Objective

To observe the epidemiological features of insulin resistance on postoperative patients with gastric cancer,and evaluate the relationship between insulin resistance and clinical parameters.

Methods

51 patients with gastric cancer were selected randomly to measure body anthropometry and body composition by dual-energy X-ray absorptiometry(DEXA)after hospitalization.Fasting blood glucose(FBG),fasting insulin(FINS),visceral proteins and immunologic index including albumin(ALB),prealbumin(PRE),transferring(TRF),retinal-binding protein(RBP),IgG,IgA,IgM,C3 and C4 were detected before operation and on the first day after operation.Insulin resistance was evaluated by the method of homeostasis model assessment(HOMA).

Results

The incidence of IR in gastric cancer patients was 49.02%postoperatively,lnHOMA-IR was positively correlated with patients weight,BMI,waist circumference,hip circumference,waist to hip ratio(WHR)and body fat.waist circumference was correlated with IR in this model,and the accuracy was 72.5%.FINS,FBG and waist circumference were independently positively correlated with lnHOMA-IR.

Conclusion

Insulin resistance exist in gastric cancer postoperatively,lnHOMA-IR was positively correlated with weight,BMI,waist circumference,hip circumference,WHR and body fat.FINS,FBG and waist circumference on the first day postoperatively are important to reflect IR.Waist circumference is a convenient and simple index to estimate IR.

Key words: Stomach neoplasms, Insulin resistance, Factor analysis

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