# Characteristics and outcomes in severe and critically ill children with first wave SARS-CoV-2 Omicron infection in Northeast China

**Authors:** Tingting Sun, Yunhan He, Zeyu Wang, Lijie Wang, Chunfeng Liu, Wei Xu, Kai You

PMC · DOI: 10.3389/fcimb.2025.1495783 · Frontiers in Cellular and Infection Microbiology · 2025-04-15

## TL;DR

This study examines severe and critically ill children with Omicron infections in China, identifying risk factors for poor outcomes like respiratory failure and neurological disorders.

## Contribution

The study identifies chest CT score, PELOD-2 score, and AST levels as novel predictors of poor outcomes in critically ill children with Omicron infections.

## Key findings

- Respiratory failure and neurological disorders were common in critically ill children with Omicron.
- Chest CT score was a significant predictor of the need for invasive mechanical ventilation.
- PELOD-2 score and AST levels predicted death or prolonged PICU stay.

## Abstract

To describe the characteristics of severe and critically ill children with first-wave SARS-CoV-2 Omicron infection admitted to the pediatric intensive care unit (PICU) at the National Children’s Regional Medical Center in Northeast China and to explore factors associated with poor outcomes.

This observational cohort study was conducted in a PICU in northeastern China and included children under 18 years of age who were severely and critically ill due to SARS-CoV-2 Omicron infection between December 2022 and February 2023. Patients were categorized into two groups: the invasive mechanical ventilation (IMV) group and the non-IMV group. The primary outcome measured was the need for IMV, while secondary outcomes included death or prolonged PICU stay. Univariate and multivariate logistic regression analyses were performed to identify risk factors for poor outcomes.

A total of 38 severe and critically ill children were included in the study. Of these, 25 (66%) were diagnosed with respiratory failure, and four (16%) developed acute respiratory distress syndrome. Additionally, 21 (55%) were diagnosed with COVID-19-associated neurological disorders, and 18 (47%) received IMV. Multivariate logistic regression analysis identified the chest computed tomography (CT) score, based on the COVID-19 Risk Assessment and Diagnosis System (CO-RADS), was statistically significant as an independent predictor for IMV in severe and critically ill children (odds ratio [OR]: 2.781 [95% confidence interval (CI): 1.021–7.571]). Furthermore, the Pediatric Logistic Organ Dysfunction-2 (PELOD-2) score and serum aspartate aminotransferase (AST) levels at admission were found to be independent predictors of death or prolonged PICU stay.

Respiratory failure and COVID-19-associated neurological disorders were the most common complications among severe and critically ill children with first-wave SARS-CoV-2 Omicron infection. Chest CT score, PELOD-2 score, and serum AST levels may serve as important indicators of poor outcomes in this patient population.

Characteristics and outcomes in severe and critically Ill children with first wave SARS-CoV-2 omicron infection.

## Linked entities

- **Diseases:** SARS-CoV-2 (MONDO:0100096), acute respiratory distress syndrome (MONDO:0006502), respiratory failure (MONDO:0021113)
- **Species:** Homo sapiens (taxon 9606)

## Full-text entities

- **Genes:** SLC17A5 (solute carrier family 17 member 5) [NCBI Gene 26503] {aka AST, ISSD, NSD, SD, SIALIN, SIASD}
- **Diseases:** neurological disorders (MESH:D009461), death (MESH:D003643), critically ill (MESH:D016638), infection (MESH:D007239), Respiratory failure (MESH:D012131), COVID-19 (MESH:D000086382), acute respiratory distress syndrome (MESH:D012128), Logistic Organ Dysfunction (MESH:D009102)
- **Species:** Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12037530/full.md

## References

62 references — full list in the complete paper: https://tomesphere.com/paper/PMC12037530/full.md

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Source: https://tomesphere.com/paper/PMC12037530