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Analysis of Changes in Blood Glucose and Serum Metrnl Protein Levels in Patients with Type 2 Diabetes Complicated with Coronary Heart Disease and their Correlation with Prognosis |
CHEN Jiuming |
Department of Laboratory Medicine, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 201800 |
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Abstract 【Objective】The purpose of this study was to investigate the changes in blood glucose, serum Metrnl protein levels, and their correlation with prognosis in patients with type 2 diabetes mellitus (T2DM) complicated with coronary heart disease (CHD). 【Methods】A total of 102 patients with T2DM and CHD admitted to our hospital from March 2021 to March 2023 were selected and divided into the high-risk group (n=25), moderate-risk group (n=37), and low-risk group (n=40) according to the severity of the disease. The patients were further divided into a good prognosis group (n=79) and an unfavorable prognosis group (n=23) based on the prognosis. The baseline data, 24 h blood glucose, blood glucose fluctuation amplitude, and serum Metrnl protein levels of the groups were compared. The correlation between each indicator and prognosis was analyzed by Pearson correlation analysis. The factors affecting the prognosis of patients with T2DM and CHD were analyzed by Logistic regression analysis and a Receiver Operating Characteristic (ROC) curve was used to analyze the predictive ability of blood glucose and serum Metrnl protein levels in predicting the prognosis of patients with T2DM and CHD. 【Results】There were significant differences in 24 h blood glucose, blood glucose fluctuation amplitude, and serum Metrnl protein levels among the high-risk group, moderate-risk group, and low-risk group (P<0.05). The 24 h blood glucose, blood glucose fluctuation amplitude, and serum Metrnl protein level of the good prognosis group were lower than those of the unfavorable prognosis group (P<0.05). Pearson correlation analysis showed that the serum Metrnl protein level was negatively correlated with blood glucose fluctuation amplitude and 24 h blood glucose (P<0.05). The Logistic multivariate analysis results showed that 24 h blood glucose, blood glucose fluctuation amplitude, and serum Metrnl protein were influencing factors for the prognosis of patients with T2DM and CHD (P<0.05). The results of ROC curve analysis showed that the combined prediction of 24 h blood glucose, blood glucose fluctuation range and Metrnl protein in predicting the prognosis of patients with T2DM and CHD was significantly better than that of 24 h blood glucose, blood glucose fluctuation range and Metrnl protein alone. 【Conclusion】The blood glucose and serum Metrnl protein levels in patients with T2DM and CHD changed significantly with the severity of the disease and were significantly correlated with the prognosis of the patients.
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Received: 26 December 2023
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