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1542. MR-proADM Biomarker Predicts COVID-19 Clinical Outcomes: a US-based Cohort Study
BACKGROUND: Mid-regional proadrenomedullin (MR-proADM) is a biomarker released following endothelial damage. Our study aimed to investigate baseline MR-proADM as a predictor of a wider range of clinical outcomes of varying severity in patients admitted with COVID-19 from a US-based multicenter trial...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751617/ http://dx.doi.org/10.1093/ofid/ofac492.097 |
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author | Mansour, Michael |
author_facet | Mansour, Michael |
author_sort | Mansour, Michael |
collection | PubMed |
description | BACKGROUND: Mid-regional proadrenomedullin (MR-proADM) is a biomarker released following endothelial damage. Our study aimed to investigate baseline MR-proADM as a predictor of a wider range of clinical outcomes of varying severity in patients admitted with COVID-19 from a US-based multicenter trial. Outcomes Within 28 days Stratified by Binary MR-proADM (Cutoff 0.87 Nmol/L), Number of Events (percentage) [Figure: see text] Values expressed as percentages (%) indicate either the proportion of the total population or the respective MR-proADM stratum. Statistical significance between MR-proADM strata was determined by the chi-square test or the Fisher's exact test when applicable. P-Values were not corrected for multiple testing. METHODS: Data from the Boston Area COVID-19 Consortium Bay Tocilizumab Trial (NCT04356937) was used in this study. Patients with biomarker determinations, and not admitted to the intensive care unit (ICU) on admission, were included. MR-proADM cutoff of 0.87 nmol/L was assessed in predicting clinical outcomes. RESULTS: Out of 182 patients, 11.0% were mechanically ventilated or dead within 28 days. Of patients with MR-proADM >0.87 nmol/L, 21.1% were mechanically ventilated or dead within 28 days, versus 4.5% of those ≤0.87 nmol/L (p< 0.001). The sensitivity, specificity, NPV, and PPV of MR-proADM cut-off of 0.87 nmol/L in predicting mechanical ventilation or death were 75%, 65%, 95%, and 21% respectively, with an AUC of 0.76, outperforming other biomarkers. Specifically, MR-proADM outperformed plasma IL-6 in predicting mechanical ventilation and death.MR-proADM was independently associated with mechanical ventilation or death, ICU admission, prolonged hospitalization beyond day 4, and worsening on the COVID-19 ordinal scale. CONCLUSION: MR-proADM functions as a valuable prognostic biomarker in predicting clinical outcomes of patients with COVID-19, outperforming other commonly utilized biomarkers. DISCLOSURES: Michael Mansour, MD, PhD, ThermoFisher Scientific: Grant/Research Support. |
format | Online Article Text |
id | pubmed-9751617 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97516172022-12-16 1542. MR-proADM Biomarker Predicts COVID-19 Clinical Outcomes: a US-based Cohort Study Mansour, Michael Open Forum Infect Dis Abstracts BACKGROUND: Mid-regional proadrenomedullin (MR-proADM) is a biomarker released following endothelial damage. Our study aimed to investigate baseline MR-proADM as a predictor of a wider range of clinical outcomes of varying severity in patients admitted with COVID-19 from a US-based multicenter trial. Outcomes Within 28 days Stratified by Binary MR-proADM (Cutoff 0.87 Nmol/L), Number of Events (percentage) [Figure: see text] Values expressed as percentages (%) indicate either the proportion of the total population or the respective MR-proADM stratum. Statistical significance between MR-proADM strata was determined by the chi-square test or the Fisher's exact test when applicable. P-Values were not corrected for multiple testing. METHODS: Data from the Boston Area COVID-19 Consortium Bay Tocilizumab Trial (NCT04356937) was used in this study. Patients with biomarker determinations, and not admitted to the intensive care unit (ICU) on admission, were included. MR-proADM cutoff of 0.87 nmol/L was assessed in predicting clinical outcomes. RESULTS: Out of 182 patients, 11.0% were mechanically ventilated or dead within 28 days. Of patients with MR-proADM >0.87 nmol/L, 21.1% were mechanically ventilated or dead within 28 days, versus 4.5% of those ≤0.87 nmol/L (p< 0.001). The sensitivity, specificity, NPV, and PPV of MR-proADM cut-off of 0.87 nmol/L in predicting mechanical ventilation or death were 75%, 65%, 95%, and 21% respectively, with an AUC of 0.76, outperforming other biomarkers. Specifically, MR-proADM outperformed plasma IL-6 in predicting mechanical ventilation and death.MR-proADM was independently associated with mechanical ventilation or death, ICU admission, prolonged hospitalization beyond day 4, and worsening on the COVID-19 ordinal scale. CONCLUSION: MR-proADM functions as a valuable prognostic biomarker in predicting clinical outcomes of patients with COVID-19, outperforming other commonly utilized biomarkers. DISCLOSURES: Michael Mansour, MD, PhD, ThermoFisher Scientific: Grant/Research Support. Oxford University Press 2022-12-15 /pmc/articles/PMC9751617/ http://dx.doi.org/10.1093/ofid/ofac492.097 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Mansour, Michael 1542. MR-proADM Biomarker Predicts COVID-19 Clinical Outcomes: a US-based Cohort Study |
title | 1542. MR-proADM Biomarker Predicts COVID-19 Clinical Outcomes: a US-based Cohort Study |
title_full | 1542. MR-proADM Biomarker Predicts COVID-19 Clinical Outcomes: a US-based Cohort Study |
title_fullStr | 1542. MR-proADM Biomarker Predicts COVID-19 Clinical Outcomes: a US-based Cohort Study |
title_full_unstemmed | 1542. MR-proADM Biomarker Predicts COVID-19 Clinical Outcomes: a US-based Cohort Study |
title_short | 1542. MR-proADM Biomarker Predicts COVID-19 Clinical Outcomes: a US-based Cohort Study |
title_sort | 1542. mr-proadm biomarker predicts covid-19 clinical outcomes: a us-based cohort study |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751617/ http://dx.doi.org/10.1093/ofid/ofac492.097 |
work_keys_str_mv | AT mansourmichael 1542mrproadmbiomarkerpredictscovid19clinicaloutcomesausbasedcohortstudy |