Early Detection of Silent Myocardial Infraction in Type 2 Diabetic Patients at Intensive Care Unit | ||||
| Al-Azhar International Medical Journal | ||||
| Volume 2025, Issue 1, January 2025 | ||||
| DOI: 10.58675/2682-339X.2858 | ||||
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| Authors | ||||
| Abdelwahab Mohamed1; Abdelaal Alkhouly2; Mohamed Elsonbaty1 | ||||
| 1Anesthesia, Intensive Care and Pain Management, Faculty of Medicine for Boys, Al-Azhar University, Cairo, Egypt | ||||
| 2Cardiology, Islamic Center for Cardiac Diseases and Surgery, Al-Azhar University, Cairo, Egypt | ||||
| Abstract | ||||
| Background: An important clinical concern, especially in patients with type 2 diabetes mellitus (T2DM), is silent myocardial infarction (SMI), which is defined as a myocardial infarction (MI) without the usual symptoms of an acute coronary event. Aim and objectives: To determine the frequency and early detection of SMI in patients with type 2 diabetes who were hospitalized in the intensive care unit (ICU), as well as the relationship between glycated hemoglobin (HbA1c) and SMI in this population. Patients and methods: One hundred patients with a history of type 2 diabetes mellitus (T2DM) treated with insulin or oral hypoglycemic medicines were included in this prospective study. These patients were admitted to the intensive care unit or emergency department at Bab-Elsheria, Al-Azhar University Hospital between March 2024 and September 2024 for any reason. Results: There is a strong association between silent MI and elevated HbA1c levels. There is no proven correlation between silent MI and gender. No significant differences in creatine kinase-MB(CK-MB) levels across different age groups. HbA1c is a significant predictor of silent MI in logistic regression analysis. Conclusion: The study Early Detection of SMI in T2DM at ICU provides significant insights into the prevalence, risk factors, and diagnostic approaches for SMI in T2DM patients. The findings emphasize the importance of early detection through continuous monitoring, cardiac biomarkers, and advanced imaging techniques. The correlation between poor glycemic control and increased risk of SMI underscores the need for optimal glycemic management in diabetic patients. | ||||
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