Analyzing the non-linear relationship between fasting blood glucose levels and Gensini score in patients with STEMI
Han Li1, Quanzhi Lin2, Zhiyuan Jiang1
1Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Insights
Both low and high blood sugar levels are linked to severe coronary artery disease in ST-segment elevation myocardial infarction patients. This U-shaped relationship highlights the need for careful glucose management in STEMI care.
Area of Science:
- Cardiology
- Endocrinology
- Metabolic Syndrome
Background:
- ST-segment elevation myocardial infarction (STEMI) is a major global health concern.
- Diabetes mellitus (DM) is a significant risk factor for STEMI.
- The Gensini score quantifies coronary artery lesion severity, but its non-linear relationship with fasting blood glucose (FBG) in STEMI patients requires further investigation.
Purpose of the Study:
- To investigate the non-linear relationship between fasting blood glucose (FBG) levels and coronary artery lesion severity, as measured by the Gensini score, in patients with ST-segment elevation myocardial infarction (STEMI).
- To determine if both hypoglycemia and hyperglycemia are associated with increased Gensini scores in STEMI patients.
Main Methods:
- Analysis of data from 464 STEMI patients undergoing percutaneous coronary intervention.
- Stratification of patients into three FBG tertiles.
- Application of statistical analyses, including LASSO regression and curve fitting, to assess the FBG-Gensini score relationship.
Main Results:
- Significant differences in Gensini scores were observed across FBG tertiles.
- Both hypoglycemic and hyperglycemic extremes were associated with higher Gensini scores compared to the normoglycemic range.
- Curve fitting confirmed a significant U-shaped, non-linear association between FBG levels and coronary artery lesion severity, irrespective of diabetes status.
Conclusions:
- Both hypoglycemia and hyperglycemia are significant risk factors for severe coronary lesions in STEMI patients, as indicated by the Gensini score.
- Comprehensive FBG monitoring and management are crucial for improving outcomes in STEMI patients.
- The findings emphasize the complex interplay between glycemic control and cardiovascular disease severity in STEMI.
Background:
Acute myocardial infarction (AMI), particularly ST-segment elevation myocardial infarction (STEMI), significantly impacts global health, exacerbated by risk factors such as diabetes mellitus (DM). While the Gensini score effectively quantifies coronary artery lesions, its correlation with fasting blood glucose (FBG) levels, particularly in a non-linear fashion, has not been thoroughly explored in STEMI patients.
Methods:
This study analyzed data from 464 STEMI patients treated with percutaneous coronary intervention at the First People's Hospital of Taizhou City, Zhejiang Province, China, from January 2010 to October 2014. We stratified patients into three FBG tertiles and utilized multiple statistical analyses, including least absolute shrinkage and selection operator (LASSO) regression and curve fitting, to examine the potential U-shaped relationship between FBG levels and Gensini scores.
Results:
Our analysis revealed significant differences in Gensini scores across FBG tertiles, with both hypoglycemic and hyperglycemic extremes showing higher scores compared to the normoglycemic range. The curve fitting analysis confirmed a U-shaped relationship, suggesting a significant, non-linear association between FBG levels and coronary artery lesion severity, regardless of diabetes status.
Conclusions:
Our findings underscore the complexity of glycemic control in STEMI management and suggest that both hypo- and hyperglycemia are significant risk factors for severe coronary lesions as quantified by the Gensini score. This study highlights the importance of comprehensive FBG monitoring and management to improve outcomes for STEMI patients.
Related Concept Videos
Diabetes Mellitus: Type 2 and Gestational
Dipeptidyl Peptidase 4 Inhibitors
Hypoglycemia and Glucagon


