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An integrated framework for identifying clinical-laboratory indicators for novel pandemics: COVID-19 and MIS-C

During the critical early stages of an emerging pandemic, limited availability of pathogen-specific testing can severely inhibit individualized risk screening and pandemic tracking. Standard clinical laboratory tests offer a widely available complementary data source for first-line risk screening an...

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Autores principales: Nahari, Adam D., Son, Mary Beth F., Newburger, Jane W., Reis, Ben Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776774/
https://www.ncbi.nlm.nih.gov/pubmed/35058541
http://dx.doi.org/10.1038/s41746-021-00547-9
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author Nahari, Adam D.
Son, Mary Beth F.
Newburger, Jane W.
Reis, Ben Y.
author_facet Nahari, Adam D.
Son, Mary Beth F.
Newburger, Jane W.
Reis, Ben Y.
author_sort Nahari, Adam D.
collection PubMed
description During the critical early stages of an emerging pandemic, limited availability of pathogen-specific testing can severely inhibit individualized risk screening and pandemic tracking. Standard clinical laboratory tests offer a widely available complementary data source for first-line risk screening and pandemic surveillance. Here, we propose an integrated framework for developing clinical-laboratory indicators for novel pandemics that combines population-level and individual-level analyses. We apply this framework to 7,520,834 clinical laboratory tests recorded over five years and find clinical-lab-test combinations that are strongly associated with SARS-CoV-2 PCR test results and Multisystem Inflammatory Syndrome in Children (MIS-C) diagnoses: Interleukin-related tests (e.g. IL4, IL10) were most strongly associated with SARS-CoV-2 infection and MIS-C, while other more widely available tests (ferritin, D-dimer, fibrinogen, alanine transaminase, and C-reactive protein) also had strong associations. When novel pandemics emerge, this framework can be used to identify specific combinations of clinical laboratory tests for public health tracking and first-line individualized risk screening.
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spelling pubmed-87767742022-02-04 An integrated framework for identifying clinical-laboratory indicators for novel pandemics: COVID-19 and MIS-C Nahari, Adam D. Son, Mary Beth F. Newburger, Jane W. Reis, Ben Y. NPJ Digit Med Article During the critical early stages of an emerging pandemic, limited availability of pathogen-specific testing can severely inhibit individualized risk screening and pandemic tracking. Standard clinical laboratory tests offer a widely available complementary data source for first-line risk screening and pandemic surveillance. Here, we propose an integrated framework for developing clinical-laboratory indicators for novel pandemics that combines population-level and individual-level analyses. We apply this framework to 7,520,834 clinical laboratory tests recorded over five years and find clinical-lab-test combinations that are strongly associated with SARS-CoV-2 PCR test results and Multisystem Inflammatory Syndrome in Children (MIS-C) diagnoses: Interleukin-related tests (e.g. IL4, IL10) were most strongly associated with SARS-CoV-2 infection and MIS-C, while other more widely available tests (ferritin, D-dimer, fibrinogen, alanine transaminase, and C-reactive protein) also had strong associations. When novel pandemics emerge, this framework can be used to identify specific combinations of clinical laboratory tests for public health tracking and first-line individualized risk screening. Nature Publishing Group UK 2022-01-20 /pmc/articles/PMC8776774/ /pubmed/35058541 http://dx.doi.org/10.1038/s41746-021-00547-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Nahari, Adam D.
Son, Mary Beth F.
Newburger, Jane W.
Reis, Ben Y.
An integrated framework for identifying clinical-laboratory indicators for novel pandemics: COVID-19 and MIS-C
title An integrated framework for identifying clinical-laboratory indicators for novel pandemics: COVID-19 and MIS-C
title_full An integrated framework for identifying clinical-laboratory indicators for novel pandemics: COVID-19 and MIS-C
title_fullStr An integrated framework for identifying clinical-laboratory indicators for novel pandemics: COVID-19 and MIS-C
title_full_unstemmed An integrated framework for identifying clinical-laboratory indicators for novel pandemics: COVID-19 and MIS-C
title_short An integrated framework for identifying clinical-laboratory indicators for novel pandemics: COVID-19 and MIS-C
title_sort integrated framework for identifying clinical-laboratory indicators for novel pandemics: covid-19 and mis-c
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776774/
https://www.ncbi.nlm.nih.gov/pubmed/35058541
http://dx.doi.org/10.1038/s41746-021-00547-9
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