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Serial laboratory biomarkers are associated with ICU outcomes in patients hospitalized with COVID-19
BACKGROUND: Clinical utility of routinely measured serial biomarkers in predicting escalation of inpatient care intensity and mortality among hospitalized patients with COVID-19 remains unknown. METHODS: This retrospective cohort study included patients with COVID-19 who admitted to the Massachusett...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629639/ https://www.ncbi.nlm.nih.gov/pubmed/37934759 http://dx.doi.org/10.1371/journal.pone.0293842 |
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author | Wang, Xinan White, Emma Giacona, Francesca Khurana, Amita Li, Yi Christiani, David C. Alladina, Jehan W. |
author_facet | Wang, Xinan White, Emma Giacona, Francesca Khurana, Amita Li, Yi Christiani, David C. Alladina, Jehan W. |
author_sort | Wang, Xinan |
collection | PubMed |
description | BACKGROUND: Clinical utility of routinely measured serial biomarkers in predicting escalation of inpatient care intensity and mortality among hospitalized patients with COVID-19 remains unknown. METHODS: This retrospective cohort study included patients with COVID-19 who admitted to the Massachusetts General Hospital between March and June 2020 and January to March 2021. White blood cell (WBC) count, platelet count, C-reactive protein (CRP), and D-dimer values were measured on days 1, 3, and 7 of admission. Clinical outcomes include 30- and 60-day morality, ICU transfer, and overall survival (OS) over a follow-up period of 90 days. The association between serial biomarkers and outcomes were assessed using multivariable logistic regression and Cox proportional hazards models. MEASUREMENTS AND MAIN RESULTS: Of the 456 patients hospitalized with COVID-19, 199 (43.6%) were ICU, 179 (39.3%) were medical floor, and 78 (17.1%) were initially admitted to the medical floor and then transferred to the ICU. In adjusted analyses, each unit increase in the slope of CRP was associated with a 42% higher odds of ICU transfer after controlling for the initial admission level (OR = 1.42, 95% CI: 1.25–1.65, P < 0.001). Including serial change in CRP levels from initial level on admission achieved the greatest predictive accuracy for ICU transfer (AUC = 0.72, 95% CI: 0.64–0.79). CONCLUSIONS: Serial change in CRP levels from admission is associated with escalations of inpatient care intensity and mortality among hospitalized patients with COVID-19. |
format | Online Article Text |
id | pubmed-10629639 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-106296392023-11-08 Serial laboratory biomarkers are associated with ICU outcomes in patients hospitalized with COVID-19 Wang, Xinan White, Emma Giacona, Francesca Khurana, Amita Li, Yi Christiani, David C. Alladina, Jehan W. PLoS One Research Article BACKGROUND: Clinical utility of routinely measured serial biomarkers in predicting escalation of inpatient care intensity and mortality among hospitalized patients with COVID-19 remains unknown. METHODS: This retrospective cohort study included patients with COVID-19 who admitted to the Massachusetts General Hospital between March and June 2020 and January to March 2021. White blood cell (WBC) count, platelet count, C-reactive protein (CRP), and D-dimer values were measured on days 1, 3, and 7 of admission. Clinical outcomes include 30- and 60-day morality, ICU transfer, and overall survival (OS) over a follow-up period of 90 days. The association between serial biomarkers and outcomes were assessed using multivariable logistic regression and Cox proportional hazards models. MEASUREMENTS AND MAIN RESULTS: Of the 456 patients hospitalized with COVID-19, 199 (43.6%) were ICU, 179 (39.3%) were medical floor, and 78 (17.1%) were initially admitted to the medical floor and then transferred to the ICU. In adjusted analyses, each unit increase in the slope of CRP was associated with a 42% higher odds of ICU transfer after controlling for the initial admission level (OR = 1.42, 95% CI: 1.25–1.65, P < 0.001). Including serial change in CRP levels from initial level on admission achieved the greatest predictive accuracy for ICU transfer (AUC = 0.72, 95% CI: 0.64–0.79). CONCLUSIONS: Serial change in CRP levels from admission is associated with escalations of inpatient care intensity and mortality among hospitalized patients with COVID-19. Public Library of Science 2023-11-07 /pmc/articles/PMC10629639/ /pubmed/37934759 http://dx.doi.org/10.1371/journal.pone.0293842 Text en © 2023 Wang et al 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 use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Wang, Xinan White, Emma Giacona, Francesca Khurana, Amita Li, Yi Christiani, David C. Alladina, Jehan W. Serial laboratory biomarkers are associated with ICU outcomes in patients hospitalized with COVID-19 |
title | Serial laboratory biomarkers are associated with ICU outcomes in patients hospitalized with COVID-19 |
title_full | Serial laboratory biomarkers are associated with ICU outcomes in patients hospitalized with COVID-19 |
title_fullStr | Serial laboratory biomarkers are associated with ICU outcomes in patients hospitalized with COVID-19 |
title_full_unstemmed | Serial laboratory biomarkers are associated with ICU outcomes in patients hospitalized with COVID-19 |
title_short | Serial laboratory biomarkers are associated with ICU outcomes in patients hospitalized with COVID-19 |
title_sort | serial laboratory biomarkers are associated with icu outcomes in patients hospitalized with covid-19 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629639/ https://www.ncbi.nlm.nih.gov/pubmed/37934759 http://dx.doi.org/10.1371/journal.pone.0293842 |
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