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Expression of TRAIL, IP-10, and CRP in children with suspected COVID-19 and real-life impact of a computational signature on clinical decision-making: a prospective cohort study.
- Source :
- Infection; Oct2023, Vol. 51 Issue 5, p1349-1356, 8p, 1 Diagram, 2 Charts, 2 Graphs
- Publication Year :
- 2023
-
Abstract
- Purpose: We evaluated the host-response marker score "BV" and its components TRAIL, IP-10, and CRP in SARS-CoV-2 positive children, and estimated the potential impact on clinical decision-making. Methods: We prospectively analyzed levels of TRAIL, IP-10, CRP, and the BV score, in children with suspected COVID-19. Classification of infectious etiology was performed by an expert panel. We used a 5-point-questionnaire to evaluate the intention to treat with antibiotics before and after receiving test results. Results: We screened 111 children, of whom 6 (5.4%) were positive for SARS-CoV-2. A total of 53 children were included for the exploratory analysis. Median age was 3.1 years (interquartile range [IQR] 1.3–4.3), and 54.7% (n = 29) were girls. A viral and a bacterial biomarker pattern was found in 27/53 (50.9%) and 15/53 (28.3%), respectively. BV scores differed between COVID-19, children with other viral infections, and children with bacterial infections (medians 29.5 vs. 9 vs. 66; p = 0.0006). Similarly, median TRAIL levels were different (65.5 vs. 110 vs. 78; p = 0.037). We found no differences in IP-10 levels (555 vs. 504 vs. 285; p = 0.22). We found a concordance between physicians' "unlikely intention to treat" children with a viral test result in most cases (n = 19/24, 79.2%). When physicians expressed a "likely intention to treat" (n = 15), BV test revealed 5 bacterial, viral, and equivocal scores each. Antibiotics were withheld in three cases (20%). Overall, 27/42 (64%) of pediatricians appraised the BV test positively, and considered it helpful in clinical practice. Conclusion: Host-response based categorization of infectious diseases might help to overcome diagnostic uncertainty, support clinical decision-making and reduce unnecessary antibiotic treatment. [ABSTRACT FROM AUTHOR]
- Subjects :
- DIAGNOSIS of bacterial diseases
PROTEIN analysis
ANTIBIOTICS
VIRAL disease diagnosis
C-reactive protein
BIOMARKERS
COVID-19
COMMUNICABLE diseases
UNCERTAINTY
UNNECESSARY surgery
DECISION making
QUESTIONNAIRES
DESCRIPTIVE statistics
RESEARCH funding
CHEMOKINES
DECISION making in clinical medicine
TERMINATION of treatment
PHYSICIANS
INTENTION
MEDICAL practice
CARRIER proteins
LONGITUDINAL method
CHILDREN
Subjects
Details
- Language :
- English
- ISSN :
- 03008126
- Volume :
- 51
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- Infection
- Publication Type :
- Academic Journal
- Accession number :
- 172441951
- Full Text :
- https://doi.org/10.1007/s15010-023-01993-1