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Pre-existing traits associated with Covid-19 illness severity

IMPORTANCE: Certain individuals, when infected by SARS-CoV-2, tend to develop the more severe forms of Covid-19 illness for reasons that remain unclear. OBJECTIVE: To determine the demographic and clinical characteristics associated with increased severity of Covid-19 infection. DESIGN: Retrospectiv...

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Autores principales: Ebinger, Joseph E., Achamallah, Natalie, Ji, Hongwei, Claggett, Brian L., Sun, Nancy, Botting, Patrick, Nguyen, Trevor-Trung, Luong, Eric, Kim, Elizabeth H., Park, Eunice, Liu, Yunxian, Rosenberry, Ryan, Matusov, Yuri, Zhao, Steven, Pedraza, Isabel, Zaman, Tanzira, Thompson, Michael, Raedschelders, Koen, Berg, Anders H., Grein, Jonathan D., Noble, Paul W., Chugh, Sumeet S., Bairey Merz, C. Noel, Marbán, Eduardo, Van Eyk, Jennifer E., Solomon, Scott D., Albert, Christine M., Chen, Peter, Cheng, Susan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377468/
https://www.ncbi.nlm.nih.gov/pubmed/32702044
http://dx.doi.org/10.1371/journal.pone.0236240
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author Ebinger, Joseph E.
Achamallah, Natalie
Ji, Hongwei
Claggett, Brian L.
Sun, Nancy
Botting, Patrick
Nguyen, Trevor-Trung
Luong, Eric
Kim, Elizabeth H.
Park, Eunice
Liu, Yunxian
Rosenberry, Ryan
Matusov, Yuri
Zhao, Steven
Pedraza, Isabel
Zaman, Tanzira
Thompson, Michael
Raedschelders, Koen
Berg, Anders H.
Grein, Jonathan D.
Noble, Paul W.
Chugh, Sumeet S.
Bairey Merz, C. Noel
Marbán, Eduardo
Van Eyk, Jennifer E.
Solomon, Scott D.
Albert, Christine M.
Chen, Peter
Cheng, Susan
author_facet Ebinger, Joseph E.
Achamallah, Natalie
Ji, Hongwei
Claggett, Brian L.
Sun, Nancy
Botting, Patrick
Nguyen, Trevor-Trung
Luong, Eric
Kim, Elizabeth H.
Park, Eunice
Liu, Yunxian
Rosenberry, Ryan
Matusov, Yuri
Zhao, Steven
Pedraza, Isabel
Zaman, Tanzira
Thompson, Michael
Raedschelders, Koen
Berg, Anders H.
Grein, Jonathan D.
Noble, Paul W.
Chugh, Sumeet S.
Bairey Merz, C. Noel
Marbán, Eduardo
Van Eyk, Jennifer E.
Solomon, Scott D.
Albert, Christine M.
Chen, Peter
Cheng, Susan
author_sort Ebinger, Joseph E.
collection PubMed
description IMPORTANCE: Certain individuals, when infected by SARS-CoV-2, tend to develop the more severe forms of Covid-19 illness for reasons that remain unclear. OBJECTIVE: To determine the demographic and clinical characteristics associated with increased severity of Covid-19 infection. DESIGN: Retrospective observational study. We curated data from the electronic health record, and used multivariable logistic regression to examine the association of pre-existing traits with a Covid-19 illness severity defined by level of required care: need for hospital admission, need for intensive care, and need for intubation. SETTING: A large, multihospital healthcare system in Southern California. PARTICIPANTS: All patients with confirmed Covid-19 infection (N = 442). RESULTS: Of all patients studied, 48% required hospitalization, 17% required intensive care, and 12% required intubation. In multivariable-adjusted analyses, patients requiring a higher levels of care were more likely to be older (OR 1.5 per 10 years, P<0.001), male (OR 2.0, P = 0.001), African American (OR 2.1, P = 0.011), obese (OR 2.0, P = 0.021), with diabetes mellitus (OR 1.8, P = 0.037), and with a higher comorbidity index (OR 1.8 per SD, P<0.001). Several clinical associations were more pronounced in younger compared to older patients (P(interaction)<0.05). Of all hospitalized patients, males required higher levels of care (OR 2.5, P = 0.003) irrespective of age, race, or morbidity profile. CONCLUSIONS AND RELEVANCE: In our healthcare system, greater Covid-19 illness severity is seen in patients who are older, male, African American, obese, with diabetes, and with greater overall comorbidity burden. Certain comorbidities paradoxically augment risk to a greater extent in younger patients. In hospitalized patients, male sex is the main determinant of needing more intensive care. Further investigation is needed to understand the mechanisms underlying these findings.
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spelling pubmed-73774682020-07-27 Pre-existing traits associated with Covid-19 illness severity Ebinger, Joseph E. Achamallah, Natalie Ji, Hongwei Claggett, Brian L. Sun, Nancy Botting, Patrick Nguyen, Trevor-Trung Luong, Eric Kim, Elizabeth H. Park, Eunice Liu, Yunxian Rosenberry, Ryan Matusov, Yuri Zhao, Steven Pedraza, Isabel Zaman, Tanzira Thompson, Michael Raedschelders, Koen Berg, Anders H. Grein, Jonathan D. Noble, Paul W. Chugh, Sumeet S. Bairey Merz, C. Noel Marbán, Eduardo Van Eyk, Jennifer E. Solomon, Scott D. Albert, Christine M. Chen, Peter Cheng, Susan PLoS One Research Article IMPORTANCE: Certain individuals, when infected by SARS-CoV-2, tend to develop the more severe forms of Covid-19 illness for reasons that remain unclear. OBJECTIVE: To determine the demographic and clinical characteristics associated with increased severity of Covid-19 infection. DESIGN: Retrospective observational study. We curated data from the electronic health record, and used multivariable logistic regression to examine the association of pre-existing traits with a Covid-19 illness severity defined by level of required care: need for hospital admission, need for intensive care, and need for intubation. SETTING: A large, multihospital healthcare system in Southern California. PARTICIPANTS: All patients with confirmed Covid-19 infection (N = 442). RESULTS: Of all patients studied, 48% required hospitalization, 17% required intensive care, and 12% required intubation. In multivariable-adjusted analyses, patients requiring a higher levels of care were more likely to be older (OR 1.5 per 10 years, P<0.001), male (OR 2.0, P = 0.001), African American (OR 2.1, P = 0.011), obese (OR 2.0, P = 0.021), with diabetes mellitus (OR 1.8, P = 0.037), and with a higher comorbidity index (OR 1.8 per SD, P<0.001). Several clinical associations were more pronounced in younger compared to older patients (P(interaction)<0.05). Of all hospitalized patients, males required higher levels of care (OR 2.5, P = 0.003) irrespective of age, race, or morbidity profile. CONCLUSIONS AND RELEVANCE: In our healthcare system, greater Covid-19 illness severity is seen in patients who are older, male, African American, obese, with diabetes, and with greater overall comorbidity burden. Certain comorbidities paradoxically augment risk to a greater extent in younger patients. In hospitalized patients, male sex is the main determinant of needing more intensive care. Further investigation is needed to understand the mechanisms underlying these findings. Public Library of Science 2020-07-23 /pmc/articles/PMC7377468/ /pubmed/32702044 http://dx.doi.org/10.1371/journal.pone.0236240 Text en © 2020 Ebinger et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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
Ebinger, Joseph E.
Achamallah, Natalie
Ji, Hongwei
Claggett, Brian L.
Sun, Nancy
Botting, Patrick
Nguyen, Trevor-Trung
Luong, Eric
Kim, Elizabeth H.
Park, Eunice
Liu, Yunxian
Rosenberry, Ryan
Matusov, Yuri
Zhao, Steven
Pedraza, Isabel
Zaman, Tanzira
Thompson, Michael
Raedschelders, Koen
Berg, Anders H.
Grein, Jonathan D.
Noble, Paul W.
Chugh, Sumeet S.
Bairey Merz, C. Noel
Marbán, Eduardo
Van Eyk, Jennifer E.
Solomon, Scott D.
Albert, Christine M.
Chen, Peter
Cheng, Susan
Pre-existing traits associated with Covid-19 illness severity
title Pre-existing traits associated with Covid-19 illness severity
title_full Pre-existing traits associated with Covid-19 illness severity
title_fullStr Pre-existing traits associated with Covid-19 illness severity
title_full_unstemmed Pre-existing traits associated with Covid-19 illness severity
title_short Pre-existing traits associated with Covid-19 illness severity
title_sort pre-existing traits associated with covid-19 illness severity
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377468/
https://www.ncbi.nlm.nih.gov/pubmed/32702044
http://dx.doi.org/10.1371/journal.pone.0236240
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