Evidence map›Paper›PMID 38622552›Full record

ArticleBMC pediatrics2024

Critically ill children with SARS-COV-2 Omicron infection at a national children medical center, Guangdong, China.

Fen Lin, Dao-Ju Jiang, Song Zhang, Zhe Yang, Hua-Song Zeng, Zhi-Ping Liu, Li-Ye Yang

Open access · goldAbstract readCase Reports
In one paragraph

Article in BMC pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Fen Lin *Precision Medical Lab Center, Chaozhou Central Hospital, Chaozhou, Guangdong Province, P. R. China.
Dao-Ju Jiang *Department of Allergy, Immunology and Rheumatology, Guangzhou Women and Children's Medical Center, Guangdong Province, P. R. China.
Song Zhang *Department of Allergy, Immunology and Rheumatology, Guangzhou Women and Children's Medical Center, Guangdong Province, P. R. China.
Zhe YangDepartment of Pediatrics, Chaozhou Central Hospital, Chaozhou, Guangdong Province, P. R. China.
Hua-Song ZengDepartment of Allergy, Immunology and Rheumatology, Guangzhou Women and Children's Medical Center, Guangdong Province, P. R. China.
Zhi-Ping LiuPrecision Medical Lab Center, Chaozhou Central Hospital, Chaozhou, Guangdong Province, P. R. China.
Li-Ye YangPrecision Medical Lab Center, People's Hospital of Yangjiang, No.42 Dongshan Road, Jiangcheng District, Yangjiang, 529500, Guangdong Province, P. R. China. yangleeyee@sina.com.
Chaozhou Central Hospital · CNGuangzhou Women and Children Medical Center · CNGuangzhou Medical University · CNQujiang People's Hospital · CN

Funding

High Level Development Plan of People's Hospital of Yangjiang G2020007Special Research Plan 2019 of Chaozhou 2020xg01
6 · The paper itself

Abstract

backgroundSARS-CoV-2 infection is described as asymptomatic, mild, or moderate disease in most children. SARS-CoV-2 infection related death in children and adolescents is rare according to the current reports. COVID-19 cases increased significantly in China during the omicron surge, clinical data regarding pediatric critical patients infected with the omicron variant is limited. In this study, we aim to provide an overview of the clinical characteristics and outcomes of critically ill children admitted to a national children's medical center in Guangdong Province, China, during the outbreak of the omicron variant infection.

methodsWe conducted a retrospective study from November 25, 2022, to February 8, 2023, which included 63 critically ill children, under the age of 18, diagnosed with SARS-CoV-2 infection. The patients were referred from medical institutions of Guangdong province. The medical records of these patients were analyzed and summarized.

resultsThe median age of patients was 2 years (Interquartile Range, IQR: 1.0-8.0), sex-ratio (male/female) was 1.52. 12 (19%) patients (age ≥ 3 years) were vaccinated. The median length of hospital stay was 14 days (IQR: 6.5-23) in 63 cases, and duration of fever was 5 days (IQR: 3-8.5), pediatric intensive care unit (PICU) stay was 8 days (IQR 4.0-14.0) in 57 cases. 30 (48%) cases had clear contact history with family members who were infected with SARS-CoV-2. Three children who tested positive for SARS-CoV-2 infection did not show any abnormalities on chest imaging examination. Out of the total patients, 33 (52%) had a bacterial co-infection, with Staphylococcus aureus being the most commonly detected bacterial pathogen. Our cohort exhibited respiratory and nervous system involvement as the primary features. Furthermore, fifty (79%) patients required mechanical ventilation, with a median duration of 7 days (IQR 3.75-13.0). Among these patients, 35 (56%) developed respiratory failure, 16 (25%) patients experienced a deteriorating progression of symptoms and ultimately succumbed to the illness, septic shock was the most common condition among these patients (15 cases), followed by multiple organ failure in 12 cases, and encephalopathy identified in 7 cases.

conclusionWe present a case series of critically ill children infected with the SARS-CoV-2 omicron variant. While there is evidence suggesting that Omicron may cause less severe symptoms, it is important to continue striving for measures that can minimize the pathogenic impact of SARS-CoV-2 infection in children.

Indexed as

COVID-19AdolescentChildChild, PreschoolChinaCritical IllnessFemaleHumansMaleRetrospective StudiesSARS-CoV-2Bacterial co-infectionCritical ill childrenNervous systemOmicron variantSARS-CoV-2

Identifiers

PMID38622552
PMCPMC11017605
OpenAlexW4394814135

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.