Цель обзора

rmt

Общая реаниматология

General Reanimatology

1813-97792411-7110

FSBI "SRIGR" RAMS

10.15360/1813-9779-2022-1-31-38

rmt-2177

Research Article

ОБЗОРЫ И КРАТКИЕ СООБЩЕНИЯ

REVIEWS & SHORT COMMUNICATIONS

Факторы риска и методы прогнозирования клинического исхода COVID-19 (обзор)

Risk Factors of Severe Disease and Methods for Clinical Outcome Prediction in Patients with COVID-19 (Review)

Сокологорский

С. В.

Sokologorskiy

S. V.

119991, г. Москва, ул. Трубецкая, д.8, стр. 2

8 Trubetskaya Str., Build. 8, Moscow 119991

Овечкин

А. М.

Ovechkin

A. M.

119991, г. Москва, ул. Трубецкая, д.8, стр. 2

8 Trubetskaya Str., Build. 8, Moscow 119991

Хапов

И. В.

Khapov

I. V.

119991, г. Москва, ул. Трубецкая, д.8, стр. 2

8 Trubetskaya Str., Build. 8, Moscow 119991

ivankhapov@yandex.ru

Политов

М. Е.

Politov

M. E.

119991, г. Москва, ул. Трубецкая, д.8, стр. 2

8 Trubetskaya Str., Build. 8, Moscow 119991

Буланова

Е. Л.

Bulanova

E. L.

119991, г. Москва, ул. Трубецкая, д.8, стр. 2

8 Trubetskaya Str., Build. 8, Moscow 119991

Первый МГМУ им. И.М. Сеченова Минздрава России (Сеченовский Университет)РоссияI. M. Sechenov First Moscow State Medical University (Sechenov University)Russian Federation

2022

20012022

1813138

2022

Сокологорский С.В., Овечкин А.М., Хапов И.В., Политов М.Е., Буланова Е.Л.

Sokologorskiy S.V., Ovechkin A.M., Khapov I.V., Politov M.E., Bulanova E.L.

Данная работа распространяется под лицензией Creative Commons Attribution 4.0.

This work is licensed under a Creative Commons Attribution 4.0 License.

https://www.reanimatology.com/rmt/article/view/2177

Одним из эффективных инструментов изучения COVID-19 является исследование больших популяций пациентов и выделение факторов, влияющих на течение и прогноз, с помощью различных методов статистического анализа и математического компьютерного моделирования. Применение прогностических шкал, разработанных на основании сопоставления динамики клинических и лабораторных показателей с морфологическими данными, может помочь в своевременной оценке возможных вариантов течения заболевания и выделении больных группы высокого риска неблагоприятного исхода.

Цель обзора

Цель обзора. Оценить факторы риска тяжелого течения и неблагоприятного исхода COVID-19, существующие инструменты прогнозирования течения и исхода новой короновирусной инфекции. Поиск источников осуществляли в базах данных PubMed, Medline, Google Scholar. Данный литературный обзор наряду с краткими данными об этиологии, патогенезе COVID-19 и об известных эпидемиологических, клинических и лабораторных факторах, влияющих на ее течение, содержит информацию о существующих инструментах оценки прогноза течения и исхода заболевания.

Заключение

Заключение. Необходима разработка прогностических моделей, созданных под конкретные условия с возможностью постоянного мониторинга ситуации и внесения корректировок при необходимости. Обнаружение новых более чувствительных на ранних этапах заболевания маркеров и разработка на их основе инструментов оценки прогноза могло бы значительно улучшить исходы COVID-19.

Large population studies using statistical analysis and mathematical computer modeling could be an effective tool in studying COVID-19. The use of prognostic scales developed using correlation of changes in clinical and laboratory parameters and morphological data, can help in early prediction of disease progression and identification of patients with high risk of unfavorable outcome.

Aim of the review

Aim of the review. To assess the risk factors for severe course and unfavorable outcome of COVID-19 and to evaluate the existing tools for predicting the course and outcome of the novel coronavirus infection. PubMed, Medline, and Google Scholar were searched for the relevant sources. This review contains information on existing tools for assessing the prognosis and outcome of the disease, along with the brief data on the etiology, pathogenesis of the novel coronavirus infection and the known epidemiological, clinical and laboratory factors affecting its course.

Conclusion

Conclusion. It is essential to develop predictive models tailored to specific settings and capable of continuous monitoring of the situation and making the necessary adjustments. The discovery of new and more sensitive early markers and developing marker-based predictive assessment tools could significantly impact improving the outcomes of COVID-19.

COVID-19факторы рискапрогностические инструменты

COVID-19risk factorsprognostic tools

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