Terapevt Arkh
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Cardiogenic shock is the pathology most commonly encountered by intensive care physicians. Its frequency averages 410% in STEMI (ST-elevation myocardial infarction) patients and 24% in NONSTEMI (non-ST-elevation myocardial infarction) patients. Effective shock therapy is impossible without understanding the hemodynamic mechanisms of its occurrence. ⋯ In this article, the authors emphasize the importance of measuring central hemodynamic parameters in patients with predominantly cardiogenic shock. We have tried to structure the knowledge about different techniques of central hemodynamics monitoring, considered advantages and disadvantages of each of them. We believe that the data obtained by hemodynamic monitoring should be closely studied and used, because sometimes multidirectional mechanisms may be involved in the genesis of shock; therefore, therapy should be based on the data obtained in a particular patient.
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The main aim of this study was to model the effectiveness of multiple myeloma (MM) therapy using machine learning, which was based on the analysis of various methods of MM treatment, a number of prognostic factors and their results in the daily routine clinical practice of medical centers in European countries. ⋯ The analysis of the presented data provides a basis for modeling a tool for assessing the effectiveness of MM therapy (prognosis of TTD and TTNT) for each patient, based on a number of prognostic factors and the results of routine clinical practice in various medical centers in European countries.