Evidence map›Paper›PMID 39278913›Full record

ArticleItalian journal of pediatrics2024

Clinical characteristics and risk factors of severe COVID-19 in hospitalized neonates with omicron variant infection: a retrospective study.

Huijing Wei, Fu Wei, Xiaokang Peng, Pan Liu, Li Tang, Yishan Liu, Shan Liao, Yajing Bo, Yuzhen Zhao, Ruina Li and 2 more

Abstract read
In one paragraph

Article in Italian journal of pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

12 authors.

Huijing Wei *Department of infectious Diseases, Xi'an Jiaotong University Affiliated Children's Hospital, No. 69 Xi Ju Yuan Alley, Xi'an, 710003, Shaanxi, China.
Fu Wei *Department of Critical Care Medicine, Xi'an Fourth Hospital, Xi'an People's Hospital, Xi'an City, Shaanxi Province, China.
Xiaokang PengDepartment of infectious Diseases, Xi'an Jiaotong University Affiliated Children's Hospital, No. 69 Xi Ju Yuan Alley, Xi'an, 710003, Shaanxi, China.
Pan LiuDepartment of infectious Diseases, Xi'an Jiaotong University Affiliated Children's Hospital, No. 69 Xi Ju Yuan Alley, Xi'an, 710003, Shaanxi, China.
Li TangDepartment of infectious Diseases, Xi'an Jiaotong University Affiliated Children's Hospital, No. 69 Xi Ju Yuan Alley, Xi'an, 710003, Shaanxi, China.
Yishan LiuDepartment of infectious Diseases, The Second Affiliated Hospital Xi'an Jiaotong University, No.157 Xi Wu Road, Xi'an, Shaanxi Province, 710004, China.
Shan LiaoDepartment of infectious Diseases, Xi'an Jiaotong University Affiliated Children's Hospital, No. 69 Xi Ju Yuan Alley, Xi'an, 710003, Shaanxi, China.
Yajing BoDepartment of infectious Diseases, The Second Affiliated Hospital Xi'an Jiaotong University, No.157 Xi Wu Road, Xi'an, Shaanxi Province, 710004, China.
Yuzhen ZhaoDepartment of Clinical Laboratory, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Ruina LiDepartment of infectious Diseases, Xi'an Jiaotong University Affiliated Children's Hospital, No. 69 Xi Ju Yuan Alley, Xi'an, 710003, Shaanxi, China.
Xiaoguai LiuDepartment of infectious Diseases, Xi'an Jiaotong University Affiliated Children's Hospital, No. 69 Xi Ju Yuan Alley, Xi'an, 710003, Shaanxi, China. xiaoguai760725@126.com.
Fanpu JiDepartment of infectious Diseases, The Second Affiliated Hospital Xi'an Jiaotong University, No.157 Xi Wu Road, Xi'an, Shaanxi Province, 710004, China. jifanpu1979@163.com.ORCID http://orcid.org/0000-0002-1463-8035

Funding

Fundamental Research Funds for the Central Universities xtr062023003Fundamental Research Funds for the Central Universities xzy032020040
6 · The paper itself

Abstract

backgroundReports on coronavirus disease 2019 (COVID-19) in neonates are limited, especially in patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) Omicron variant. This study aims to analyze the clinical characteristics and identify risk factors associated with severe COVID-19 in neonates infected with Omicron variant.

methodsThe study population was represented by neonates with COVID-19, who were admitted to The Affiliated Children's Hospital of Xi'an Jiaotong University in northwest China, from December 10, 2022 to January 20, 2023. Chinese Center for Disease Control and Prevention (CDC) announced that all local COVID-19 cases were infected with Omicron variant during the study period. Clinical and laboratory data were collected retrospectively. We used logistic regression analysis to investigate the risk factors for severe COVID-19, and derived odds ratios (ORs) and the corresponding 95% confidence intervals (CIs).

resultsA total of 108 neonates, with median age of 18.1 days (interquartile range 9.4-23.0), were affected by COVID-19, of whom 84 had a mild disease, while 24 a severe one (22.2%). Of them, 6.5% were premature. No deaths were observed in the study population. The most common clinical manifestations were fever (88.9%) and cough (55.6%), with 5 cases (4.6%) complicated by pneumonia. 4 cases (3.7%) received respiratory support, including 2 cases of high-flow oxygen and 2 cases of continuous positive airway pressure. Gestational age at birth (OR: 0.615; 95% CI: 0.393-0.961), neutrophil count (NEU) (OR:0.576; 95% CI : 0.344-0.962) and lymphocyte count (LYM) (OR: 0.159; 95% CI: 0.063-0.401) were independent risk factors for severe COVID-19. The combination of NEU and LYM had the largest receiver operating characteristic area under the curve [0.912 (95% CI:0.830-0.993)] for identifying severe COVID-19, with a sensitivity of 0.833 and a specificity of 0.917.

conclusionsThe general presentations and outcomes of neonatal COVID-19 caused by Omicron variant were not severe, and very few patients required respiratory support. The simultaneous decrease in NEU and LYM can be used to identify severe infection.

Indexed as

COVID-19SARS-CoV-2Severity of Illness IndexChinaFemaleHospitalizationHumansInfant, NewbornMaleRetrospective StudiesRisk FactorsNeonatesOmicron variantRisk factorsSARS-CoV-2Severe COVID-19

Identifiers

PMID39278913
PMCPMC11404035

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