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C-Reactive Protein for the Early Assessment of Non-Malarial Febrile Patients: A Retrospective Diagnostic Study
Biomarkers, especially CRP, have demonstrated their relevance to differentiate viral from bacterial infection, even though a reliable threshold is far to being found. In low- and middle-income countries, affordable and user-friendly rapid diagnostic tests based on biomarkers can be widely adopted to...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469932/ https://www.ncbi.nlm.nih.gov/pubmed/34574070 http://dx.doi.org/10.3390/diagnostics11091728 |
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author | Bertoli, Giulia Mazzi, Cristina Ronzoni, Niccolò Silva, Ronaldo Spinicci, Michele Pozzi, Marco Sponga, Pietro Aiello, Andrea Ursini, Tamara Bartoloni, Alessandro Olliaro, Piero Bisoffi, Zeno Buonfrate, Dora |
author_facet | Bertoli, Giulia Mazzi, Cristina Ronzoni, Niccolò Silva, Ronaldo Spinicci, Michele Pozzi, Marco Sponga, Pietro Aiello, Andrea Ursini, Tamara Bartoloni, Alessandro Olliaro, Piero Bisoffi, Zeno Buonfrate, Dora |
author_sort | Bertoli, Giulia |
collection | PubMed |
description | Biomarkers, especially CRP, have demonstrated their relevance to differentiate viral from bacterial infection, even though a reliable threshold is far to being found. In low- and middle-income countries, affordable and user-friendly rapid diagnostic tests based on biomarkers can be widely adopted to help health workers in the management of non-malarial fever. The primary objective of this study is to assess the best CRP cut-off to distinguish viral from bacterial infections. Other biomarkers were evaluated for the same purpose, alone or in combination with CRP. We retrospectively collected data from two referral hospital departments for infectious and tropical diseases in Italy. Areas under the ROC curve (AUC) were calculated and then compared using the DeLong test. Overall, we included 1193 febrile cases (viral 20.74% vs. bacterial 79.25%). We also collected malaria (n = 202) and intestinal parasite (n = 186) cases to establish their impact on biomarkers. CRP had the best accuracy in differentiating viral from bacterial infections. The best performance of CRP was a cut-off of 11 mg/L. All other biomarkers studied had significantly lower accuracy. Median CRP values were within the normal ranges in parasitic infections, while they were higher in malaria. None of the combinations of CRP with other biomarkers significantly increased the accuracy of CRP alone. |
format | Online Article Text |
id | pubmed-8469932 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84699322021-09-27 C-Reactive Protein for the Early Assessment of Non-Malarial Febrile Patients: A Retrospective Diagnostic Study Bertoli, Giulia Mazzi, Cristina Ronzoni, Niccolò Silva, Ronaldo Spinicci, Michele Pozzi, Marco Sponga, Pietro Aiello, Andrea Ursini, Tamara Bartoloni, Alessandro Olliaro, Piero Bisoffi, Zeno Buonfrate, Dora Diagnostics (Basel) Article Biomarkers, especially CRP, have demonstrated their relevance to differentiate viral from bacterial infection, even though a reliable threshold is far to being found. In low- and middle-income countries, affordable and user-friendly rapid diagnostic tests based on biomarkers can be widely adopted to help health workers in the management of non-malarial fever. The primary objective of this study is to assess the best CRP cut-off to distinguish viral from bacterial infections. Other biomarkers were evaluated for the same purpose, alone or in combination with CRP. We retrospectively collected data from two referral hospital departments for infectious and tropical diseases in Italy. Areas under the ROC curve (AUC) were calculated and then compared using the DeLong test. Overall, we included 1193 febrile cases (viral 20.74% vs. bacterial 79.25%). We also collected malaria (n = 202) and intestinal parasite (n = 186) cases to establish their impact on biomarkers. CRP had the best accuracy in differentiating viral from bacterial infections. The best performance of CRP was a cut-off of 11 mg/L. All other biomarkers studied had significantly lower accuracy. Median CRP values were within the normal ranges in parasitic infections, while they were higher in malaria. None of the combinations of CRP with other biomarkers significantly increased the accuracy of CRP alone. MDPI 2021-09-20 /pmc/articles/PMC8469932/ /pubmed/34574070 http://dx.doi.org/10.3390/diagnostics11091728 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bertoli, Giulia Mazzi, Cristina Ronzoni, Niccolò Silva, Ronaldo Spinicci, Michele Pozzi, Marco Sponga, Pietro Aiello, Andrea Ursini, Tamara Bartoloni, Alessandro Olliaro, Piero Bisoffi, Zeno Buonfrate, Dora C-Reactive Protein for the Early Assessment of Non-Malarial Febrile Patients: A Retrospective Diagnostic Study |
title | C-Reactive Protein for the Early Assessment of Non-Malarial Febrile Patients: A Retrospective Diagnostic Study |
title_full | C-Reactive Protein for the Early Assessment of Non-Malarial Febrile Patients: A Retrospective Diagnostic Study |
title_fullStr | C-Reactive Protein for the Early Assessment of Non-Malarial Febrile Patients: A Retrospective Diagnostic Study |
title_full_unstemmed | C-Reactive Protein for the Early Assessment of Non-Malarial Febrile Patients: A Retrospective Diagnostic Study |
title_short | C-Reactive Protein for the Early Assessment of Non-Malarial Febrile Patients: A Retrospective Diagnostic Study |
title_sort | c-reactive protein for the early assessment of non-malarial febrile patients: a retrospective diagnostic study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469932/ https://www.ncbi.nlm.nih.gov/pubmed/34574070 http://dx.doi.org/10.3390/diagnostics11091728 |
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