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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, Bernard; Weiße, Andrea Y; Peach, Robert L; Barahona, Mauricio; Rawson, Timothy M; Holmes, Alison H.
  • Ming DK; Centre for Antimicrobial Optimisation, Hammersmith Hospital, Imperial College London, Du Cane Road, London, W12 0NN, UK. d.ming@imperial.ac.uk.
  • Myall AC; National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK. d.ming@imperial.ac.uk.
  • Hernandez B; National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK.
  • Weiße AY; Department of Mathematics, Imperial College London, London, UK.
  • Peach RL; National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK.
  • Barahona M; School of Informatics, University of Edinburgh, Scotland, UK.
  • Rawson TM; School of Biological Science, University of Edinburgh, Scotland, UK.
  • Holmes AH; Department of Neurology, University Hospital of Würzburg, 97080, Würzburg, Germany.
BMC Infect Dis ; 21(1): 932, 2021 Sep 08.
Article in English | MEDLINE | ID: covidwho-1403225
ABSTRACT

BACKGROUND:

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.

METHODS:

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.

RESULTS:

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.

CONCLUSIONS:

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Procalcitonin / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Humans Language: English Journal: BMC Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article Affiliation country: S12879-021-06621-7

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Procalcitonin / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Humans Language: English Journal: BMC Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article Affiliation country: S12879-021-06621-7