Pre-existing traits associated with Covid-19 illness severity
Certain individuals, when infected by SARS-CoV-2, tend to develop the more severe forms of Covid-19 illness for reasons that remain unclear. To determine the demographic and clinical characteristics associated with increased severity of Covid-19 infection. Retrospective observational study. We curat...
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Published in | PloS one Vol. 15; no. 7; p. e0236240 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
23.07.2020
Public Library of Science (PLoS) |
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Abstract | Certain individuals, when infected by SARS-CoV-2, tend to develop the more severe forms of Covid-19 illness for reasons that remain unclear.
To determine the demographic and clinical characteristics associated with increased severity of Covid-19 infection.
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.
A large, multihospital healthcare system in Southern California.
All patients with confirmed Covid-19 infection (N = 442).
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 (Pinteraction<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.
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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AbstractList | ImportanceCertain individuals, when infected by SARS-CoV-2, tend to develop the more severe forms of Covid-19 illness for reasons that remain unclear.ObjectiveTo determine the demographic and clinical characteristics associated with increased severity of Covid-19 infection.DesignRetrospective 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.SettingA large, multihospital healthcare system in Southern California.ParticipantsAll patients with confirmed Covid-19 infection (N = 442).ResultsOf 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 (Pinteraction<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 relevanceIn 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. Certain individuals, when infected by SARS-CoV-2, tend to develop the more severe forms of Covid-19 illness for reasons that remain unclear. To determine the demographic and clinical characteristics associated with increased severity of Covid-19 infection. 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. A large, multihospital healthcare system in Southern California. All patients with confirmed Covid-19 infection (N = 442). 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 (Pinteraction<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. 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. 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 (Pinteraction<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. 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 (Pinteraction<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. |
Author | Matusov, Yuri Marbán, Eduardo Van Eyk, Jennifer E Luong, Eric Rosenberry, Ryan Ji, Hongwei Cheng, Susan Zhao, Steven Pedraza, Isabel Chugh, Sumeet S Bairey Merz, C Noel Ebinger, Joseph E Solomon, Scott D Nguyen, Trevor-Trung Achamallah, Natalie Thompson, Michael Liu, Yunxian Zaman, Tanzira Albert, Christine M Claggett, Brian L Kim, Elizabeth H Noble, Paul W Sun, Nancy Berg, Anders H Raedschelders, Koen Park, Eunice Grein, Jonathan D Chen, Peter Botting, Patrick |
AuthorAffiliation | 5 Shanghai Tenth People’s Hospital, Tongji University, Shanghai, China 9 Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America 8 Advanced Clinical Biosystems Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America 12 Barbra Streisand Women’s Heart Center, Cedars-Sinai Medical Center, Los Angeles, California, United States of America 1 Department of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, United States of America 4 Division of Pulmonary and Critical Care Medicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America 6 Cardiovascular Division, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America 11 Women’s Guild Lung Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America 3 Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America Nation |
AuthorAffiliation_xml | – name: 12 Barbra Streisand Women’s Heart Center, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – name: 3 Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – name: 2 Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – name: 6 Cardiovascular Division, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America – name: 7 Enterprise Information Systems Data Intelligence Team, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – name: 11 Women’s Guild Lung Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – name: 5 Shanghai Tenth People’s Hospital, Tongji University, Shanghai, China – name: 10 Department of Epidemiology, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – name: National Yang-Ming University, TAIWAN – name: 1 Department of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – name: 8 Advanced Clinical Biosystems Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – name: 9 Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – name: 4 Division of Pulmonary and Critical Care Medicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America |
Author_xml | – sequence: 1 givenname: Joseph E surname: Ebinger fullname: Ebinger, Joseph E organization: Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 2 givenname: Natalie surname: Achamallah fullname: Achamallah, Natalie organization: Division of Pulmonary and Critical Care Medicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 3 givenname: Hongwei surname: Ji fullname: Ji, Hongwei organization: Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts, United States of America – sequence: 4 givenname: Brian L surname: Claggett fullname: Claggett, Brian L organization: Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts, United States of America – sequence: 5 givenname: Nancy surname: Sun fullname: Sun, Nancy organization: Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 6 givenname: Patrick surname: Botting fullname: Botting, Patrick organization: Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 7 givenname: Trevor-Trung surname: Nguyen fullname: Nguyen, Trevor-Trung organization: Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 8 givenname: Eric surname: Luong fullname: Luong, Eric organization: Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 9 givenname: Elizabeth H surname: Kim fullname: Kim, Elizabeth H organization: Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 10 givenname: Eunice surname: Park fullname: Park, Eunice organization: Enterprise Information Systems Data Intelligence Team, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 11 givenname: Yunxian surname: Liu fullname: Liu, Yunxian organization: Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 12 givenname: Ryan surname: Rosenberry fullname: Rosenberry, Ryan organization: Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 13 givenname: Yuri surname: Matusov fullname: Matusov, Yuri organization: Division of Pulmonary and Critical Care Medicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 14 givenname: Steven surname: Zhao fullname: Zhao, Steven organization: Division of Pulmonary and Critical Care Medicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 15 givenname: Isabel surname: Pedraza fullname: Pedraza, Isabel organization: Division of Pulmonary and Critical Care Medicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 16 givenname: Tanzira surname: Zaman fullname: Zaman, Tanzira organization: Division of Pulmonary and Critical Care Medicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 17 givenname: Michael surname: Thompson fullname: Thompson, Michael organization: Enterprise Information Systems Data Intelligence Team, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 18 givenname: Koen orcidid: 0000-0003-0835-4762 surname: Raedschelders fullname: Raedschelders, Koen organization: Advanced Clinical Biosystems Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 19 givenname: Anders H surname: Berg fullname: Berg, Anders H organization: Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 20 givenname: Jonathan D surname: Grein fullname: Grein, Jonathan D organization: Department of Epidemiology, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 21 givenname: Paul W surname: Noble fullname: Noble, Paul W organization: Women's Guild Lung Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 22 givenname: Sumeet S surname: Chugh fullname: Chugh, Sumeet S organization: Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 23 givenname: C Noel surname: Bairey Merz fullname: Bairey Merz, C Noel organization: Barbra Streisand Women's Heart Center, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 24 givenname: Eduardo surname: Marbán fullname: Marbán, Eduardo organization: Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 25 givenname: Jennifer E surname: Van Eyk fullname: Van Eyk, Jennifer E organization: Barbra Streisand Women's Heart Center, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 26 givenname: Scott D surname: Solomon fullname: Solomon, Scott D organization: Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts, United States of America – sequence: 27 givenname: Christine M surname: Albert fullname: Albert, Christine M organization: Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 28 givenname: Peter surname: Chen fullname: Chen, Peter organization: Women's Guild Lung Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America – sequence: 29 givenname: Susan orcidid: 0000-0002-4977-036X surname: Cheng fullname: Cheng, Susan organization: Barbra Streisand Women's Heart Center, Cedars-Sinai Medical Center, Los Angeles, California, United States of America |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32702044$$D View this record in MEDLINE/PubMed |
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ContentType | Journal Article |
Copyright | 2020 Ebinger et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2020 Ebinger et al 2020 Ebinger et al |
Copyright_xml | – notice: 2020 Ebinger et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2020 Ebinger et al 2020 Ebinger et al |
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Snippet | Certain individuals, when infected by SARS-CoV-2, tend to develop the more severe forms of Covid-19 illness for reasons that remain unclear.
To determine the... 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.... IMPORTANCECertain individuals, when infected by SARS-CoV-2, tend to develop the more severe forms of Covid-19 illness for reasons that remain unclear.... ImportanceCertain individuals, when infected by SARS-CoV-2, tend to develop the more severe forms of Covid-19 illness for reasons that remain... 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.... |
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SubjectTerms | Adolescent Adult African Americans Age Factors Aged Aged, 80 and over Betacoronavirus Biology and Life Sciences Cardiology Child Comorbidity Coronavirus Infections - epidemiology Coronaviruses COVID-19 Critical care Critical Care - statistics & numerical data Diabetes Diabetes Mellitus Electronic health records Electronic medical records Female Health care Health risks Heart Hospitalization - statistics & numerical data Hospitals Humans Illnesses Infections Information systems Intubation Los Angeles - epidemiology Male Medicine Medicine and Health Sciences Middle Aged Morbidity Obesity Pandemics Patients People and places Pneumonia, Viral - epidemiology Regression analysis Retrospective Studies Risk Factors SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 State court decisions Streisand, Barbra Viral diseases Young Adult |
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Title | Pre-existing traits associated with Covid-19 illness severity |
URI | https://www.ncbi.nlm.nih.gov/pubmed/32702044 https://www.proquest.com/docview/2426532437 https://search.proquest.com/docview/2427309687 https://pubmed.ncbi.nlm.nih.gov/PMC7377468 https://doaj.org/article/c44b8c2c08e643f8ad65685b8ab6098c http://dx.doi.org/10.1371/journal.pone.0236240 |
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