Searchable abstracts of presentations at key conferences in endocrinology
Endocrine Abstracts (2016) 41 EP537 | DOI: 10.1530/endoabs.41.EP537

ECE2016 Eposter Presentations Diabetes complications (55 abstracts)

Calculator for myocardial infarction risk in patients with type 2 diabetes mellitus

Feruza Takhirova & Zairkhodja Akbarov


Center for the Scientific and Clinical Study of Endocrinology, Tashkent, Uzbekistan.


Study was initiated to perform integral assessment of myocardial infarction (MI) risk in patients with type 2 diabetes mellitus with genetic markers taken into account as well as to develop a method for its prediction in this category of patients. As to relative risk of factors causing MI in Uzbek patients with type 2 diabetes mellitus, myocardial infarction in family medical history comes the first followed by left ventricular hypertrophy, age, ACE gene DD genotype, arterial hypertension, diabetes duration, diabetic nephropathy, alcohol abuse, HbA1c≤7%, obesity (BMI>25 kg/m2), stroke in family medical history, dislipidemia, TCF7L2 gene TT genotype, smoking and hypercoagulation. This type of rating is essential in a physician’s practice to categorize MI risk contingent among patients with type 2 diabetes mellitus. Possible ranges of risk for all factors above were determined after calculation of MI risk relative risk parameters. It is expedient to divide the whole risk range into subranges which allow categorizing patients by various risk probability for the risk factors known. Thus, there are three MI risk subranges for patients with type 2 diabetes mellitus: the lowest MI risk subrange is for patients with favorable prognosis and minimum MI risk, intermediate MI risk subrange is for patients who have higher probability of MI and require focusing of physicians’ attention and the highest MI risk subrange is for patients with unfavorable prognosis maximally affected by MI risk factors. Contrary to existing analogues, genetic risk factors, such as ACE gene DD genotype and TCF7L2 gene TT genotype, typical of Uzbek population are taken into account for MI prediction in patients with type 2 diabetes mellitus, as well. Prediction of MI risk degree in patients with type 2 diabetes mellitus facilitates timely interventions corresponding to MI risk degree. That will help delay or prevent MI, or smooth its course with minimal or no complications. Integral assessment of MI risk factors is a comprehensive strategy for myocardial infarction prevention in patients with type 2 diabetes mellitus. It makes possible for practical healthcare to combine a patient’s social and clinical characteristics for the purposes of assessment of MI risk and prediction of MI progression, and thereby using the latest achievements in endocrinology and cardiology to perform appropriate interventions on early stages of the disease.

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