Mid-regional proadrenomedullin (MR-proADM), C-reactive protein (CRP) and other biomarkers in the early identification of disease progression in patients with COVID-19 in the acute NHS setting
| Autor: | Nathan Moore, Rebecca Williams, Matilde Mori, Beatrice Bertolusso, Gabrielle Vernet, Jessica Lynch, Pete Philipson, Thomas Ledgerwood, Stephen P Kidd, Claire Thomas, Veronica Garcia-Arias, Michelle Young, Kordo Saeed, Kirsty Gordon, Nicholas Cortes |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Journal of Clinical Pathology |
| ISSN: | 1472-4146 0021-9746 |
| Popis: | AimsThere is a lack of biomarkers validated for assessing clinical deterioration in patients with COVID-19 on presentation to secondary or tertiary care. This evaluation looked at the potential clinical application of C reactive protein (CRP), procalcitonin, mid-regional proadrenomedullin (MR-proADM) and white cell count to support prediction of clinical outcomes.Methods135 patients presenting to Hampshire Hospitals NHS Foundation Trust between April and June 2020 confirmed to have COVID-19 via reverse-transcription-qPCR were included. Biomarkers from within 24 hours of presentation were used to predict disease progression by Cox regression and area under the receiver operating characteristic curves. The endpoints assessed were 30-day all-cause mortality, intubation and ventilation, critical care admission and non-invasive ventilation (NIV) use.ResultsElevated MR-proADM was shown to have the greatest ability to predict 30-day mortality adjusting for age, cardiovascular disease, renal disease and neurological disease. A significant association was also noted between raised MR-proADM and CRP concentrations and the requirement for critical care admission and NIV.ConclusionsThe measurement of MR-proADM and CRP in patients with confirmed COVID-19 infection on admission shows significant potential to support clinicians in identifying those at increased risk of disease progression and need for higher level care, subsequently enabling prompt escalation in clinical interventions. |
| Databáze: | OpenAIRE |
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