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Prevalence of glucose abnormalities among patients presenting with an acute myocardial infarction
Suzanne V Arnold1, Kasia J Lipska2, Yan Li3
1Saint Luke's Mid America Heart Institute, Kansas City, MO; University of Missouri-Kansas City, Kansas City, MO.
Insights
Nearly 70% of acute myocardial infarction (AMI) patients have dysglycemia, including diabetes or prediabetes. This significantly increases long-term mortality risk, highlighting the need for early screening and intervention during hospitalization.
Area of Science:
- Cardiology
- Endocrinology
- Public Health
Background:
- Patients with acute myocardial infarction (AMI) and glucose abnormalities face higher risks of death and ischemic events.
- The prevalence of glucose abnormalities, assessed by hemoglobin A1c (HbA1c), in US AMI patients is not well-established.
Purpose of the Study:
- To determine the contemporary prevalence of dysglycemia (diabetes and prediabetes) in US patients hospitalized with AMI.
- To evaluate the association between glucose abnormalities and long-term all-cause mortality in AMI patients.
Main Methods:
- A 24-site US AMI registry (2005-2008) data was analyzed for 2,853 patients.
- Dysglycemia was assessed using HbA1c, categorizing patients into diabetes (HbA1c ≥ 6.5%), prediabetes (HbA1c 5.7%-6.4%), or normoglycemia.
- Demographic, clinical, and metabolic characteristics, along with 3-year mortality, were compared across groups.
Main Results:
- 38% of AMI patients had diabetes (18% newly diagnosed), and 31% had prediabetes.
- Patients with dysglycemia were older, more often female, and had more comorbidities.
- Increasing severity of dysglycemia correlated with higher 3-year all-cause mortality (8.6% normoglycemia to 20.3% known diabetes).
Conclusions:
- Nearly 70% of US AMI patients exhibit dysglycemia (38% diabetes, 31% prediabetes).
- Over half of patients without prior diabetes diagnosis had new or prediabetes diagnoses.
- Higher dysglycemia severity is linked to increased long-term mortality, emphasizing AMI hospitalization as a critical screening opportunity.
Background:
Patients with an acute myocardial infarction (AMI) who have glucose abnormalities are at increased risk for death and adverse ischemic outcomes. The contemporary prevalence of glucose abnormalities among AMI patients in the United States, as determined by hemoglobin A1c (HbA1c), is unknown.
Methods:
Patients hospitalized with AMI in a 24-site US AMI registry from 2005 to 2008 were examined for the presence of dysglycemia using HbA1c, which was analyzed at a core laboratory. Patients were categorized by American Diabetes Association guidelines as having diabetes (HbA1c ≥ 6.5%), prediabetes (HbA1c 5.7%-6.4%), or normoglycemia. Baseline demographic, clinical, and metabolic characteristics, as well as long-term all-cause mortality, were compared among groups.
Results:
Among 2,853 patients with AMI, 1,083 (38%) had diabetes, of which 196 (18%) were newly diagnosed. There were an additional 887 patients (31%) with prediabetes and 883 patients (31%) who had normal glucose metabolism. Patients with metabolic abnormalities were older, were more frequently female, and had higher prevalence of cardiac and noncardiac comorbidities, including multivessel disease and left ventricular systolic dysfunction. Patients with increasing metabolic abnormalities had higher mortality over the 3 years after the AMI (8.6% in those with normoglycemia, 10.6% in prediabetes, 11.3% in newly diagnosed diabetes, and 20.3% in known diabetes; log rank P < .001).
Conclusions:
In a large US AMI registry, we found that nearly 7 in 10 patients had dysglycemia, with 38% having diabetes and an additional 31% with prediabetes based on HbA1c levels. Over half of the patients who did not have a known diagnosis of diabetes at the time of admission had either newly diagnosed diabetes or prediabetes. Progressively greater severity of dysglycemia was also associated with incremental increase in long-term mortality. These data highlight the AMI hospitalization as a key opportunity to screen for glucose abnormalities so that appropriate interventions and patient education efforts can be implemented prior to discharge.
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