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  3. Clinical and Laboratory Biomarkers as Predictors of Severity in Pediatric Inflammatory Multisystem Syndrome-temporally Associated With SARS-CoV-2: Data From a Prospective Nationwide Surveillance Study in Switzerland.
 

Clinical and Laboratory Biomarkers as Predictors of Severity in Pediatric Inflammatory Multisystem Syndrome-temporally Associated With SARS-CoV-2: Data From a Prospective Nationwide Surveillance Study in Switzerland.

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Publisher DOI
10.1097/INF.0000000000004332
PubMed ID
38506504
Description
BACKGROUND

PIMS-TS (pediatric inflammatory multisystem syndrome-temporally associated with SARS-CoV-2) is a rare but serious condition in children following SARS-CoV-2 infection, characterized by a range of clinical symptoms with varying severity. Understanding risk factors for severe PIMS-TS is crucial for appropriate and timely intervention.

OBJECTIVE

To identify factors associated with increased PIMS-TS severity in children.

METHODS

In this nationwide prospective observational study, epidemiological and clinical data was collected from children <18 years of age with suspected or confirmed PIMS-TS from all 29 pediatric hospitals in Switzerland. Children were categorized into 3 groups according to admission to intensive care unit (ICU): non-ICU, ICU-moderate and ICU-severe, defined as requirement of invasive ventilation and/or inotropic support.

RESULTS

A total of 204 children were included; 99 (49%) were categorized as non-ICU, 50 (25%) as ICU-moderate and 55 (27%) as ICU-severe. In ICU-severe cases, respiratory and neurological symptoms were more frequent compared with non-ICU cases: 72% versus 47%, P < 0.001 and 66% versus 41%, P = 0.001, respectively. Compared with the non-ICU group, children in the ICU-severe group had lower lymphocyte counts, higher neutrophil-lymphocyte ratios, lower platelet counts, as well as higher C-reactive protein, N-terminal pro-B-type natriuretic peptide, troponin T and creatinine levels at admission. Lymphopenia and elevated troponin T levels at admission were associated with an increased risk of being in the ICU-severe group.

CONCLUSION

The severity of PIMS-TS may be predicted using clinical symptoms and laboratory biomarkers, which help clinicians in decision-making and management of patients.
Date of Publication
2024-07-01
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Language(s)
en
Contributor(s)
Wurm, Juliane
Uka, Anita
Buettcher, Michael
Kottanattu, Lisa
Schöbi, Ninaorcid-logo
Universitätsklinik für Kinderheilkunde
Trück, Johannes
Villiger, Reto
Ritz, Nicole
Zimmermann, Petra
Additional Credits
Universitätsklinik für Kinderheilkunde
Series
The pediatric infectious disease journal
Publisher
Wolters Kluwer Health
ISSN
1532-0987
Access(Rights)
metadata.only
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