Back to Search Start Over

Correlation between Serum Biomarkers and Lung Ultrasound in COVID-19: An Observational Study

Authors :
Amne Mousa
Siebe G. Blok
Dian Karssen
Jurjan Aman
Jouke T. Annema
Harm Jan Bogaard
Peter I. Bonta
Mark E. Haaksma
Micah L. A. Heldeweg
Arthur W. E. Lieveld
Prabath Nanayakkara
Esther J. Nossent
Jasper M. Smit
Marry R. Smit
Alexander P. J. Vlaar
Marcus J. Schultz
Lieuwe D. J. Bos
Frederique Paulus
Pieter R. Tuinman
Amsterdam UMC COVID-19 Biobank Investigators
Source :
Diagnostics, Vol 14, Iss 4, p 421 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Serum biomarkers and lung ultrasound are important measures for prognostication and treatment allocation in patients with COVID-19. Currently, there is a paucity of studies investigating relationships between serum biomarkers and ultrasonographic biomarkers derived from lung ultrasound. This study aims to assess correlations between serum biomarkers and lung ultrasound findings. This study is a secondary analysis of four prospective observational studies in adult patients with COVID-19. Serum biomarkers included markers of epithelial injury, endothelial dysfunction and immune activation. The primary outcome was the correlation between biomarker concentrations and lung ultrasound score assessed with Pearson’s (r) or Spearman’s (rs) correlations. Forty-four patients (67 [41–88] years old, 25% female, 52% ICU patients) were included. GAS6 (rs = 0.39), CRP (rs = 0.42) and SP-D (rs = 0.36) were correlated with lung ultrasound scores. ANG-1 (rs = −0.39) was inversely correlated with lung ultrasound scores. No correlations were found between lung ultrasound score and several other serum biomarkers. In patients with COVID-19, several serum biomarkers of epithelial injury, endothelial dysfunction and immune activation correlated with lung ultrasound findings. The lack of correlations with certain biomarkers could offer opportunities for precise prognostication and targeted therapeutic interventions by integrating these unlinked biomarkers.

Details

Language :
English
ISSN :
20754418
Volume :
14
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Diagnostics
Publication Type :
Academic Journal
Accession number :
edsdoj.2194fee0e1364a328e68fc0f91a227d7
Document Type :
article
Full Text :
https://doi.org/10.3390/diagnostics14040421