Informing antimicrobial management in the context of COVID-19: understanding the longitudinal dynamics of C-reactive protein and procalcitonin



Ming, Damien K, Myall, Ashleigh C, Hernandez, Bernarnd, Weisse, Andrea Y, Peach, Robert L, Barahona, Mauricio, Rawson, Timothy M ORCID: 0000-0002-2630-9722 and Holmes, Alison H ORCID: 0000-0001-5554-5743
(2021) Informing antimicrobial management in the context of COVID-19: understanding the longitudinal dynamics of C-reactive protein and procalcitonin. BMC INFECTIOUS DISEASES, 21 (1). 932-.

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Abstract

<h4>Background</h4>To characterise the longitudinal dynamics of C-reactive protein (CRP) and Procalcitonin (PCT) in a cohort of hospitalised patients with COVID-19 and support antimicrobial decision-making.<h4>Methods</h4>Longitudinal CRP and PCT concentrations and trajectories of 237 hospitalised patients with COVID-19 were modelled. The dataset comprised of 2,021 data points for CRP and 284 points for PCT. Pairwise comparisons were performed between: (i) those with or without significant bacterial growth from cultures, and (ii) those who survived or died in hospital.<h4>Results</h4>CRP concentrations were higher over time in COVID-19 patients with positive microbiology (day 9: 236 vs 123 mg/L, p < 0.0001) and in those who died (day 8: 226 vs 152 mg/L, p < 0.0001) but only after day 7 of COVID-related symptom onset. Failure for CRP to reduce in the first week of hospital admission was associated with significantly higher odds of death. PCT concentrations were higher in patients with COVID-19 and positive microbiology or in those who died, although these differences were not statistically significant.<h4>Conclusions</h4>Both the absolute CRP concentration and the trajectory during the first week of hospital admission are important factors predicting microbiology culture positivity and outcome in patients hospitalised with COVID-19. Further work is needed to describe the role of PCT for co-infection. Understanding relationships of these biomarkers can support development of risk models and inform optimal antimicrobial strategies.

Item Type: Article
Uncontrolled Keywords: Bacterial co-infection, COVID-19, Biomarkers, Antimicrobial stewardship, Risk stratification, Clinical decision-support
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology
Depositing User: Symplectic Admin
Date Deposited: 28 Oct 2022 14:34
Last Modified: 18 Jan 2023 19:48
DOI: 10.1186/s12879-021-06621-7
Open Access URL: https://bmcinfectdis.biomedcentral.com/articles/10...
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3165834