ArticleARYA atherosclerosis2024
Predictive power of glycated hemoglobin in detecting severity of coronary artery disease in non-diabetic patients: A cross-sectional study in southern Iran.
Article in ARYA atherosclerosis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
5 authors.
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Abstract
backgroundThe relationship between hemoglobin A1c (HbA1c) levels and coronary artery disease (CAD) severity is still a matter of debate in non-diabetic patients. This study aimed to determine the association between HbA1c and the severity of CAD in non-diabetic patients.
methodsThe present cross-sectional study was conducted in 2018-2019 on 133 non-diabetic patients with stable angina, unstable angina, or myocardial infarction (MI). They were selected through systematic random sampling. The data were collected by taking a complete medical history, calculating the SYNTAX score, and measuring HbA1c.
resultsA SYNTAX score of >22 was significantly correlated with age, left ventricular ejection fraction, HbA1c, and total cholesterol. The mean SYNTAX score was higher in male patients, those with HbA1c >5.6, and patients with a primary clinical presentation of MI. The association between the SYNTAX score and HbA1c was found to be statistically significant (r = 0.659; P < .001). The odds of having a SYNTAX score of >22 for those with HbA1c >5.6 was 5.48 times higher than for those with HbA1c ≤ 5.6 (odds ratio [OR], 5.48;
conclusionThe present findings showed that HbA1c has the potential to predict the severity of CAD in non-diabetic individuals. HbA1c, even at levels within the normal range, was significantly correlated with SYNTAX scores.
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