jsmsJournal of Siberian Medical SciencesJournal of Siberian Medical Sciences2542-1174Federal state budgetary educational institution of higher education "Novosibirsk state medical university" of Ministry of Health of the Russian Federation (FSBEI HE NSMU MOH Russia)10.31549/2542-1174-2025-9-1-98-123jsms-1153Research ArticleОБЗОРЫREVIEWВозможности прогнозирования функциональных исходов ишемического инсультаPossibilities of predicting functional outcomes of ischemic strokehttps://orcid.org/0000-0003-3343-7586ШустоваТ. А.ShustovaT. A.

Шустова Татьяна Алексеевна – аспирант, старший лаборант кафедры неврологии с клиникой Института медицинского образования

 197341, г. Санкт-Петербург, ул. Аккуратова, 2 

Tatyana A. Shustova – Post-graduate Student, Senior Laboratory Assistant, Department of Neurology with Clinic, Institute of Medical Education 

 2, Akkuratova str., St. Petersburg, 197341 

shustova_ta@almazovcentre.ruhttps://orcid.org/0000-0002-0175-3085ТопузоваМ. П.TopuzovaM. P.

Топузова Мария Петровна – канд. мед. наук, доцент кафедры неврологии с клиникой Института медицинского образования 

Санкт-Петербург

Maria P. Topuzova – Cand. Sci. (Med.), Associate Professor, Department of Neurology with Clinic, Institute of Medical Education 

St. Petersburg

https://orcid.org/0009-0005-7866-3394СыкыковаА. А.SykykovaA. A.

Сыкыкова Арунай Аркадьевна – студентка Института медицинского образования  

Санкт-Петербург

Arunay A. Sykykova – Student, Institute of Medical Education 

St. Petersburg

https://orcid.org/0009-0003-7879-500XГригорьеваП. А.GrigorievaP. A.

Григорьева Полина Алексеевна – студентка Института медицинского образования 

Санкт-Петербург

Polina A. Grigorieva – Student, Institute of Medical Education 

St. Petersburg

https://orcid.org/0000-0002-4441-1165АлексееваТ. М.AlekseevaT. M.

Алексеева Татьяна Михайловна – д-р мед. наук, профессор, заведующий кафедрой неврологии с клиникой Института медицинского образования

Санкт-Петербург 

Tatyana M. Alekseeva – Dr. Sci. (Med.), Professor, Head, Department of Neurology with Clinic, Institute of Medical Education 

St. Petersburg

ФГБУ «Национальный медицинский исследовательский центр имени В.А. Алмазова» Минздрава РоссииРоссияAlmazov National Medical Research CentreRussian Federation2025250320250198123Copyright © Шустова Т.А., Топузова М.П., Сыкыкова А.А., Григорьева П.А., Алексеева Т.М., 20252025Шустова Т.А., Топузова М.П., Сыкыкова А.А., Григорьева П.А., Алексеева Т.М.Shustova T.A., Topuzova M.P., Sykykova A.A., Grigorieva P.A., Alekseeva T.M.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://jsms.elpub.ru/jour/article/view/1153

Инсульт занимает лидирующие позиции среди причин инвалидности и смертности. Прогнозирование функциональных исходов инсульта потенциально способно повысить эффективность ведения пациентов, оптимизировать стратегии оказания медицинской помощи и реабилитационных мероприятий с учетом рационализации использования ресурсов. На сегодняшний день отсутствуют инструменты быстрой и комплексной оценки прогноза для принятия врачом своевременного решения о выборе наиболее подходящей и перспективной для каждого пациента тактики ведения, что требует систематизации известных данных по прогнозированию исходов инсульта для возможности дальнейшей оптимизации этого процесса. Нами были изучены существующие возможности прогнозирования функциональных исходов ишемического инсульта на платформах PubMed, Scopus, eLIBRARY, Cyberleninka, проанализированы их достоинства и недостатки.

Stroke occupies leading positions among the causes of disability and mortality. Prediction of functional outcomes of stroke has the potential to improve the efficiency of patient management, optimize strategies for providing medical care and rehabilitation measures, taking into account the rationalization of resource use. To date, there are no tools for rapid and comprehensive assessment of the prognosis for a physician to make a timely decision on choosing the most appropriate and promising management tactics for each patient, which requires systematization of known data on predicting stroke outcomes for the possibility of further optimization of this process. We have studied the existing possibilities for predicting the functional outcomes of ischemic stroke via PubMed, Scopus, eLIBRARY, Cyberleninka platforms, analyzed their advantages and disadvantages.

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The authors declare that there are no conflicts of interest present.