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DIGITAL AND ECHOCARDIOGRAPHY-GUIDED ALGORITHMS FOR PERSONALIZED CARDIAC REHABILITATION AFTER MYOCARDIAL INFARCTION: A LITERATURE REVIEW

Babaeva, Naina AshrafovnaSamarkand State Medical University, Samarkand, UzbekistanHamidov, Obid AbdurakhmanovichSamarkand State Medical University, Samarkand, Uzbekistan
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Resume. Myocardial infarction remains one of the leading causes of mortality and disability worldwide, despite significant advances in reperfusion therapy and pharmacological treatment. In this context, cardiac rehabilitation is considered a key stage in secondary prevention and restoration of patients' functional status. However, traditional standardized rehabilitation programs do not always account for individual characteristics of post-infarction myocardial remodeling and the variability in the clinical course of the disease. In recent years, special attention has been given to the implementation of digital technologies and echocardiography-guided algorithms aimed at personalizing rehabilitation programs after myocardial infarction. The use of telemedicine platforms, mobile applications, wearable devices, and data analysis algorithms in combination with advanced echocardiographic assessment, including myocardial strain parameters, allows for more accurate risk stratification, tailoring of physical activity, and improved safety of rehabilitative treatment. This review systematizes data from international studies on the application of digital and echocardiography-oriented approaches in cardiac rehabilitation of patients after myocardial infarction. It has been demonstrated that the integration of echocardiographic parameters into digital rehabilitation algorithms is associated with improved functional status, increased patient adherence to treatment, reduced frequency of rehospitalizations, and fewer adverse cardiovascular outcomes. Special attention is given to the role of strain echocardiography as a sensitive marker of subclinical myocardial dysfunction and a tool for individualizing rehabilitation programs. The obtained data confirm the feasibility of transitioning to personalized cardiac rehabilitation models using digital and echocardiography-oriented algorithms, which opens up new prospects for improving the effectiveness of secondary prevention and enhancing the prognosis of patients after myocardial infarction. Keywords: myocardial infarction, cardiac rehabilitation, personalized medicine, digital technologies, echocardiography, strain analysis, telerehabilitation.

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