Risk of Silent Myocardial Infarction in Prediabetic Patients: A Case-Control Study in a Veteran Population
| Autor: | Koushik Reddy, Deepika Kulkarni, Christine Le, Deepa Dongarwar, Philip Foulis, Hamisu M. Salihu, Amy Alman, Adam Zoble, Phong Ong, Eknath Naik, Paul E. Leaverton, Fabio Leonelli |
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| Rok vydání: | 2021 |
| Předmět: |
Male
medicine.medical_specialty Population Myocardial Infarction Disease Risk Assessment Coronary artery disease Cohort Studies Prediabetic State Electrocardiography Risk Factors Silent Myocardial Infarction Internal medicine medicine Humans education Veterans Affairs Aged Veterans Aged 80 and over education.field_of_study business.industry Case-control study General Medicine Middle Aged medicine.disease Confidence interval Case-Control Studies Cohort Female business |
| Zdroj: | Southern medical journal. 114(7) |
| ISSN: | 1541-8243 |
| Popis: | Objectives In the management of cardiovascular disease, it is important to identify patients at risk early on, to provide interventions to prevent the disease and its complications. The goal of our study was to investigate the association between glucose levels and silent myocardial infarction (SMI) among patients, who consisted of veterans within the Veterans Affairs clinical system. Methods Among the group of patients with an initially normal electrocardiogram, a cohort of patients with a subsequent diagnosis of SMI was selected as the case cohort, whereas 4 patients for each study subject, without evidence of coronary artery disease and normal electrocardiogram within the previous 6 months, were identified and constituted the control cohort. We conducted an adjusted logistic regression model using the stepwise function to assess the association between glucose level and SMI. Results Of the 540 patients included in the study, 108 (20.0%) with an SMI diagnosis made up the case cohort. We observed that as compared with those who had normal levels of glucose, those who were prediabetic were 3.99 times as likely (95% confidence interval 1.48-12.85) to have SMI, whereas the diabetic patients were 3.80 times as likely (95% confidence interval 1.39-12.38) to experience SMI. Conclusions SMIs have been shown to be predictive of subsequent cardiovascular events, including another MI and death, and that indicates the importance of identifying a group at high risk for a SMI. As such, our findings could be extremely beneficial for targeted intervention toward prediabetics and to improve health outcomes in the entire population. |
| Databáze: | OpenAIRE |
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