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Chinese Journal of Critical Care Medicine(Electronic Edition) ›› 2021, Vol. 14 ›› Issue (06): 448-452. doi: 10.3877/cma.j.issn.1674-6880.2021.06.002

• Original Article • Previous Articles     Next Articles

Predictive value of glycemic gap for myocardial ischemia reperfusion injury in non-diabetic patients with acute ST-segment elevation myocardial infarction

Shuying Qi1, Xiang Li1,(), Fei Liu1   

  1. 1. Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
  • Received:2021-06-11 Online:2021-12-31 Published:2022-02-12
  • Contact: Xiang Li

Abstract:

Objective

To investigate the predictive value of glycemic gap for myocardial ischemia reperfusion injury (MIRI) in non-diabetic patients with acute ST-segment elevation myocardial infarction (STEMI).

Methods

A total of 541 non-diabetic patients with STEMI admitted to Beijing Anzhen Hospotal, Capital Medical University from January to December 2019 were selected. The age, male, smoking, time of onset, multiple lesions, admission blood glucose (ABG), glycosylated hemoglobin, glycemic gap, blood creatinine, urea nitrogen, triglyceride, total cholesterol, hypersensitive C-reactive protein (hs-CRP) peak and cardiac troponin I (cTNI) peak were included in univariate Logistic regression analysis to screen out relevant influencing factors, and then included in multivariate Logistic regression analysis to obtain independent risk factors affecting MIRI in non-diabetic STEMI patients. The receiver operating characteristic (ROC) curve was used to analyze the predictive value.

Results

Six factors were associated with MIRI in non-diabetic STEMI patients by univariate Logistic regression analysis, including ABG [odds ratio (OR) = 1.149, 95% confidence interval (CI) (1.037, 1.273), P = 0.008], glycemic gap [OR = 1.267, 95%CI (1.121, 1.432), P < 0.001], urea nitrogen [OR = 1.153, 95%CI (1.020, 1.304), P = 0.023], total cholesterol [OR = 0.791, 95%CI (0.645, 0.971), P = 0.025], hs-CRP peak [OR = 1.016, 95%CI (1.006, 1.026), P = 0.002] and cTNI peak [OR = 1.010, 95%CI (1.003, 1.017), P = 0.008]. Multivariate Logistic regression analysis showed that glycemic gap [OR = 1.537, 95%CI (1.140, 2.074), P = 0.005] and hs-CRP peak [OR = 0.659, 95%CI (1.004, 1.024), P = 0.007] were independent risk factors for MIRI in non-diabetic STEMI patients. ROC curve analysis showed that glycemic gap [area under the curve = 0.609, 95%CI (0.547, 0.672), P = 0.001] had certain predictive value for the occurrence of MIRI in non-diabetic STEMI patients.

Conclusion

Glycemic gap is an independent risk factor for MIRI in non-diabetic STEMI patients and has predictive value for MIRI.

Key words: Myocardial ischemia-reperfusion injury, Glycemic gap, Acute ST-segment elevation myocardial infarction, Stress-induced hyperglycemia, Risk factors

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