Prediction of glycosylated hemoglobin level in patients with cardiovascular diseases and type 2 diabetes mellitus with respect to anti-diabetic medication.

Blood glycosylated hemoglobin level can be affected by various factors in patients with type 2 diabetes and cardiovascular diseases. Frequent measurements are expensive, and a suitable estimation method could improve treatment outcomes. Patients and methods: 93 patients were recruited in this research. We analyzed a number of parameters such as age, glucose level, blood pressure, Body Mass Index, cholesterol level, echocardiography et al. Patients were prescribed metformin. One group (n=60) additionally was taking sitagliptin. We applied eight machine learning methods (k nearest neighbors, Random Forest, Support Vector Machine, Extra Trees, XGBoost, Linear Regression including Lasso, and ElasticNet) to predict exact values of glycosylated hemoglobin in two years. Results: We applied a feature selection approach using step-by-step removal of them, Linear Regression on remaining features, and Pearson's correlation coefficient on the validation set. As a result, we got four different subsets for each group. We compared all eight Machine Learning methods using different hyperparameters on validation sets and chose the best models. We tested the best models on the external testing set and got R2 = 0.88, C Index = 0.857, Accuracy = 0.846, and MAE (Mean Absolute Error) = 0.65 for the first group, R2 = 0.86, C Index = 0.80, Accuracy = 0.75, and MAE = 0.41 for the second group. Conclusion: The resulting algorithms could be used to assist clinical decision-making on prescribing anti-diabetic medications in pursuit of achieving glycemic control.

STRUGGLE FOR. Italian-Polish-Spanish-Uzbek-Vietnamese Expert Forum Position Paper 2023 for better control of classical modifiable risk factors in clinical practice.

The progress in pharmacotherapy that has been made in recent years, including the introduction of very effective and safe lipid-lowering and antihypertensive drugs, has not yet translated into the expected universal control of blood pressure, lipid disorders and diabetes. In the STRUGGLE FOR Italian- -Polish-Spanish-Uzbek-Vietnamese Expert Forum Position Paper 2023, experts from five countries recounted several points about the paradigms of cardiological and cardiometabolic care for better control of classical modifiable risk factors in the year 2023. It is believed herein, that the need to intensify treatment, actively search for patients with cardiovascular risk factors, especially with arterial hypertension, hypercholesterolemia and diabetes, should go hand in hand with the implementation of the latest therapy, based on single pill combinations including proven, effective antihypertensive, lipid-lowering and antidiabetic molecules, many of which are listed in the present document. There is a need to use both new technological concepts, completely new drugs, as well as novel treatment concepts such as metabolic treatment in coronary artery disease, try to intensify the fight against smoking in every way, including the available range of drugs and procedures reducing the harm. This approach will provide substantially better control of the underlying cardiovascular risk factors in countries as varied as Italy, Poland, Spain, Uzbekistan and Vietnam.