Features of severe forms of new coronavirus infection (COVID-19) in children

Cover Page

Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

BACKGROUND: The problem of the complicated course of COVID-19 and deaths in children with severe comorbid pathology is relevant. Severe forms of the disease are often the cause of critical conditions and deaths, including decompensated respiratory failure, acute respiratory distress syndrome, septic shock, cardiac, hepatic, renal insufficiency, coagulation disorders, damage to the central nervous system.

AIM: The aim is to analyze the features of the course of COVID-19 in children who require mandatory hospitalization in specialized hospitals for background pathology, to identify predictors of the development of severe forms of COVID-19 in order to choose the optimal ways of treating this pathology.

MATERIALS AND METHODS: Under the supervision of the St. Petersburg State Pediatric Medical University in the department for children with new coronavirus infection COVID-19 with intensive care and intensive care wards in the period 2020–2022 with a confirmed diagnosis of “new coronavirus infection” there were 791 patients aged 0 to 17 years. The diagnosis was made on the basis of clinical and epidemiological data, the results of a comprehensive laboratory and instrumental study. The severity of the disease was determined in accordance with the methodological recommendations of the Ministry of Health of the Russian Federation.

RESULTS: The severe form of COVID-19 was diagnosed in 34 patients out of 791 (4.3%). Adverse outcomes were 1.4%. In 27 out of 34 children (79.4%), new coronavirus infection occurred against the background of severe comorbid pathology. Pneumonia was diagnosed in 91.2% of cases. 88.2% of patients needed oxygen therapy.

CONCLUSIONS: Severe forms of COVID-19 in children are characterized by high fever with severe intoxication, respiratory tract damage with a significant volume of lung damage (CT-3 and CT-4) with the development of multiple organ failure. Predictors that require mandatory hospitalization in specialized hospitals for background pathology in severe forms of COVID-19 are: primary immunodeficiency conditions, oncohematological pathology with postcytostatic aplasia of hematopoiesis, severe organic lesions of the central nervous system, epilepsy, protein-energy deficiency of 3–4 degrees, bronchopulmonary dysplasia, atypical emolytic uremic syndrome with acute kidney damage. Comprehensive treatment of such patients should be carried out by a multidisciplinary team in a specialized department with extensive diagnostic and therapeutic capabilities.

About the authors

Svetlana L Bannova

Saint Petersburg State Pediatric Medical University

Author for correspondence.
Email: svetlanalb81@mail.ru
ORCID iD: 0000-0003-1351-1910
SPIN-code: 9654-9386

MD, PhD, Assistant Professor, Department of Infectious Diseases in Children named after Professor M.G. Danilevich

Russian Federation, Saint Petersburg

Dmitry O. Ivanov

Saint Petersburg State Pediatric Medical University

Email: doivanov@yandex.ru
ORCID iD: 0000-0002-0060-4168
SPIN-code: 4437-9626

Rector, Head of the Department of Neonatology with courses of Neurology and Obstetrics and Gynecology

Russian Federation, Saint Petersburg

Yuriy S. Alexandrovich

Saint Petersburg State Pediatric Medical University

Email: jalex1963@mail.ru
ORCID iD: 0000-0002-2131-4813
SPIN-code: 2225-1630

MD, PhD, Dr. Sci. (Medicine), Professor, Head of the Department of Anesthesiology and Intensive Care and Emergency Pediatrics Postgraduate Education

Russian Federation, Saint Petersburg

Vladimir N. Timchenko

Saint Petersburg State Pediatric Medical University

Email: timchenko220853@yandex.ru
ORCID iD: 0000-0002-4068-1731
SPIN-code: 8594-0751

MD, PhD, Dr. Sci. (Medicine), Professor, Department of Infectious Diseases in Children named after Professor M.G. Danilevich

Russian Federation, Saint Petersburg

Tatyana A. Kaplina

Saint Petersburg State Pediatric Medical University

Email: k.kta@yandex.ru
ORCID iD: 0000-0003-1659-2058
SPIN-code: 1381-9580

MD, PhD, Assistant Professor, Department of Infectious Diseases in Children named after Professor M.G. Danilevich

Russian Federation, Saint Petersburg

Gleb V. Kondratiev

Saint Petersburg State Pediatric Medical University

Email: spbgvk@mail.ru
ORCID iD: 0000-0002-1462-6907
SPIN-code: 9092-3185

MD, PhD, Assistant Professor, Department of Oncology, Pediatric Oncology and Radiation Therapy

Russian Federation, Saint Petersburg

Evgeniy Yu. Felker

Saint Petersburg State Pediatric Medical University

Email: felkeru@gmail.com
ORCID iD: 0000-0002-7780-8871
SPIN-code: 9244-0361

MD, PhD, Head of the Department of Anesthesiology-Intensive Care

Russian Federation, Saint Petersburg

Rustam N. Ibragimov

Saint Petersburg State Pediatric Medical University

Email: rustyibr@gmail.com
ORCID iD: 0000-0002-5009-1938
SPIN-code: 8657-3664

anesthesiologist-resuscitator of the Department of Anesthesiology-Intensive Care

Russian Federation, Saint Petersburg

Marina V. Razgon

Saint Petersburg State Pediatric Medical University

Email: mar.krupskaia@gmail.com
ORCID iD: 0009-0006-5157-1374

anesthesiologist-resuscitator of the Department of Anesthesiology-Intensive Care

Russian Federation, Saint Petersburg

Maria O. Revnova

Saint Petersburg State Pediatric Medical University

Email: revnoff@mail.ru
ORCID iD: 0000-0002-3537-7372
SPIN-code: 5474-9268

MD, PhD, Dr. Sci. (Medicine), Professor, Head of Outpatient Pediatrics Department named after Academician A.F

Russian Federation, Saint Petersburg

Marina Yu. Komissarova

Saint Petersburg State Pediatric Medical University

Email: vtmp@gpma.ru
ORCID iD: 0000-0002-1533-4498
SPIN-code: 1809-1118

MD, PhD, Deputy Chief Physician for Hospitalization, Senior Researcher at the Laboratory of Medical and Social Problems in Pediatrics of SIC

Russian Federation, Saint Petersburg

Valeria P. Novikova

Saint Petersburg State Pediatric Medical University

Email: novikova-vp@mail.ru
ORCID iD: 0000-0002-0992-1709
SPIN-code: 1875-8137

MD, PhD, Dr. Sci. (Medicine), Professor, Head of the Department of Propaedeutics of Children's Diseases with a Course in General Child Care, Head of the Laboratory of Medical and social problems in pediatrics

Russian Federation, Saint Petersburg

References

  1. Avdeev SN, Adamyan LV, Alekseeva EI, et al. Prevention, diagnosis and treatment of a novel coronavirus infection (COVID-19). Version 9. Moscow: Ministry of Health of the Russian Federation, 2020. (In Russ.)
  2. Avrusin IS, Belozerov KYe, Kupreeva AD, et al. Analysis of twenty cases of multisystem inflammatory syndrome associated with COVID-19 in children: the experience of SPBSPMU. Treatment and prevention. 2021;11(3):67–71.
  3. Аleksandrovich YuS, Prometnoy DV, Mironov PI, et al. Predictors of death in severe new coronavirus infection in children. Messenger of anesthesiology and resuscitation. 2021;18(4):29–36. doi: 10.21292/2078-5658-2021-18-4-29-36
  4. Efremova OS, Bregel LV, Rudenko NY, et al. Observation of severe pediatric inflammatory multisystem syndrome associated with COVID-19. Pediatrician (St. Petersburg). 2023;14(1):127–134. doi: 10.17816/PED141127-134
  5. Ivanov DO, Petrenko YuV, Nasyrov RA, et al. Clinical case of COVID-19 course in a child with aplastic anemia. Journal Infectology. 2022;14(1):145–151. doi: 10.22625/2072-6732-2022-14-1-145-151
  6. Ivanov DO, Petrenko YV, Reznik VA, et al. Children are not sick with COVID… Notes from the red zone of Pediatric University. Ivanov DO, editor. Saint Petersburg: SPbGPMU, 2022. 208 p.
  7. Kondratyev GV, Krasnogorskaya ОL, Shakmayeva МА, et al. COVID-19 i in the setting of acute lymphoblastic leukaemia (case analysis, resulting in death). HIV Infection and Immunosuppressive Disorders. 2022;14(2):73–82. doi: 10.22328/2077-9828-2022-14-2-73-82
  8. Lobzin YuV, Vilnits AA, Kostik MM, et al. Pediatric multisystem inflammatory syndrome associated with a new coronavirus infection: unresolved issues. Journal Infectology. 2021;13(1):13–20. doi: 10.22625/2072-6732-2021-13-1-13-20
  9. Kamkin EG, editor. Methodological recommendations of the Ministry of Health of the Russian Federation. Features of clinical manifestations and treatment of the disease caused by a new coronavirus infection (COVID-19) in children. Version 2 from 03.07.2020. Moscow: Ministry of Health of the Russian Federation, 2020. 73 p. (In Russ.)
  10. Nesterenko ZV, Prokopyeva NE, Matalygina OA, et al. Community-acquired pneumonia in children during the coronavirus pandemic. Medicine: theory and practice. 2021;6(4):12–20.
  11. Prometnoy DV, Aleksandrovich YuS, Mironov PI, et al. Efficacy of clinical guidelines in the treatment of severe forms of a novel coronavirus infection in children. Russian Journal of Anesthesiology and Reanimatology. 2022;(4):78–84. doi: 10.17116/anaesthesiology202204178
  12. Reeva SV, Belousova TI, Parfenova NN, et al. Clinical case of systemic lupus erythematosus debut after an infection COVID-19. University therapeutic journal. 2020;4(S):30–31.
  13. medvestnik.ru [Internet]. Teslina A. CDC statistics on pediatric deaths with COVID-19. Medjournal. Doctor’s library [cited 2021 Jan 8]. Available at: https://bz.medvestnik.ru/content/news/CDC-opublikovali-statistiku-po-smertyam-detei-s-COVID-19.html?ysclid=lr7h0k3vay277057358 (In Russ.)
  14. Shakmaeva MA, Chernova TM, Timchenko VN, et al. Features of a new Coronavirus infection in children of different ages. Children infections. 2021;20(2):5–9. doi: 10.22627/2072-8107-2021-20-2-5-9
  15. covid.cdc.gov [Internet]. Centers for Disease Control and Prevention. Demographic trends of COVID-19 cases and deaths in the US reported to CDC. 2022 [cited 2022 Jul 26]. Available at: https://covid.cdc.gov/covid-data-tracker/#demographics
  16. covid.cdc.gov [Internet]. Centers for Disease Control and Prevention. COVID-NET laboratory-confirmed COVID-19 hospitalizations [cited 2022 Jul 26]. Available at: https://covid.cdc.gov/covid-data-tracker/#covidnet-hospitalization-network
  17. covid.cdc.gov [Internet]. CDC. Demographic trends of COVID-19 cases and deaths in the US reported to CDC. Centers for Disease Control and Prevention [cited 2022 Sep 8]. Available at: https://covid.cdc.gov/covid-data-tracker/#demographics
  18. Clarke KEN, Jones JM, Deng Y, et al. Seroprevalence of infection-induced SARS-CoV-2 antibodies — United States, September 2021–February 2022. Morb Mortal Wkly Rep. 2022;71(17):606–608. doi: 10.15585/mmwr.mm7117e3
  19. Lu X, Liqiong Zhang L, Du H, et al. SARS-CoV-2 infection in children. N Engl J Med. 2020;382(17):1663–1665. doi: 10.1056/NEJMc2005073
  20. Siegel DA, Reses HE, Cool AJ, et al. Trends in COVID-19 cases, emergency department visits, and hospital admissions among children and adolescents aged 0–17 years — United States, August 2020–August 2021. Morb Mortal Wkly Rep. 2021;70(36): 1249–1254. doi: 10.15585/mmwr.mm7036e1

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2023 Eco-Vector

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
 


Согласие на обработку персональных данных с помощью сервиса «Яндекс.Метрика»

1. Я (далее – «Пользователь» или «Субъект персональных данных»), осуществляя использование сайта https://journals.rcsi.science/ (далее – «Сайт»), подтверждая свою полную дееспособность даю согласие на обработку персональных данных с использованием средств автоматизации Оператору - федеральному государственному бюджетному учреждению «Российский центр научной информации» (РЦНИ), далее – «Оператор», расположенному по адресу: 119991, г. Москва, Ленинский просп., д.32А, со следующими условиями.

2. Категории обрабатываемых данных: файлы «cookies» (куки-файлы). Файлы «cookie» – это небольшой текстовый файл, который веб-сервер может хранить в браузере Пользователя. Данные файлы веб-сервер загружает на устройство Пользователя при посещении им Сайта. При каждом следующем посещении Пользователем Сайта «cookie» файлы отправляются на Сайт Оператора. Данные файлы позволяют Сайту распознавать устройство Пользователя. Содержимое такого файла может как относиться, так и не относиться к персональным данным, в зависимости от того, содержит ли такой файл персональные данные или содержит обезличенные технические данные.

3. Цель обработки персональных данных: анализ пользовательской активности с помощью сервиса «Яндекс.Метрика».

4. Категории субъектов персональных данных: все Пользователи Сайта, которые дали согласие на обработку файлов «cookie».

5. Способы обработки: сбор, запись, систематизация, накопление, хранение, уточнение (обновление, изменение), извлечение, использование, передача (доступ, предоставление), блокирование, удаление, уничтожение персональных данных.

6. Срок обработки и хранения: до получения от Субъекта персональных данных требования о прекращении обработки/отзыва согласия.

7. Способ отзыва: заявление об отзыве в письменном виде путём его направления на адрес электронной почты Оператора: info@rcsi.science или путем письменного обращения по юридическому адресу: 119991, г. Москва, Ленинский просп., д.32А

8. Субъект персональных данных вправе запретить своему оборудованию прием этих данных или ограничить прием этих данных. При отказе от получения таких данных или при ограничении приема данных некоторые функции Сайта могут работать некорректно. Субъект персональных данных обязуется сам настроить свое оборудование таким способом, чтобы оно обеспечивало адекватный его желаниям режим работы и уровень защиты данных файлов «cookie», Оператор не предоставляет технологических и правовых консультаций на темы подобного характера.

9. Порядок уничтожения персональных данных при достижении цели их обработки или при наступлении иных законных оснований определяется Оператором в соответствии с законодательством Российской Федерации.

10. Я согласен/согласна квалифицировать в качестве своей простой электронной подписи под настоящим Согласием и под Политикой обработки персональных данных выполнение мною следующего действия на сайте: https://journals.rcsi.science/ нажатие мною на интерфейсе с текстом: «Сайт использует сервис «Яндекс.Метрика» (который использует файлы «cookie») на элемент с текстом «Принять и продолжить».