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Phenotypes of disease severity in a cohort of hospitalized COVID-19 patients: Results from the IMPACC study
BACKGROUND: Better understanding of the association between characteristics of patients hospitalized with coronavirus disease 2019 (COVID-19) and outcome is needed to further improve upon patient management. METHODS: Immunophenotyping Assessment in a COVID-19 Cohort (IMPACC) is a prospective, observ...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359694/ https://www.ncbi.nlm.nih.gov/pubmed/35952496 http://dx.doi.org/10.1016/j.ebiom.2022.104208 |
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author | Ozonoff, Al Schaenman, Joanna Jayavelu, Naresh Doni Milliren, Carly E. Calfee, Carolyn S. Cairns, Charles B. Kraft, Monica Baden, Lindsey R. Shaw, Albert C. Krammer, Florian van Bakel, Harm Esserman, Denise A. Liu, Shanshan Sesma, Ana Fernandez Simon, Viviana Hafler, David A. Montgomery, Ruth R. Kleinstein, Steven H. Levy, Ofer Bime, Christian Haddad, Elias K. Erle, David J. Pulendran, Bali Nadeau, Kari C. Davis, Mark M. Hough, Catherine L. Messer, William B. Higuita, Nelson I. Agudelo Metcalf, Jordan P. Atkinson, Mark A. Brakenridge, Scott C. Corry, David Kheradmand, Farrah Ehrlich, Lauren I.R. Melamed, Esther McComsey, Grace A. Sekaly, Rafick Diray-Arce, Joann Peters, Bjoern Augustine, Alison D. Reed, Elaine F. Altman, Matthew C. Becker, Patrice M. Rouphael, Nadine |
author_facet | Ozonoff, Al Schaenman, Joanna Jayavelu, Naresh Doni Milliren, Carly E. Calfee, Carolyn S. Cairns, Charles B. Kraft, Monica Baden, Lindsey R. Shaw, Albert C. Krammer, Florian van Bakel, Harm Esserman, Denise A. Liu, Shanshan Sesma, Ana Fernandez Simon, Viviana Hafler, David A. Montgomery, Ruth R. Kleinstein, Steven H. Levy, Ofer Bime, Christian Haddad, Elias K. Erle, David J. Pulendran, Bali Nadeau, Kari C. Davis, Mark M. Hough, Catherine L. Messer, William B. Higuita, Nelson I. Agudelo Metcalf, Jordan P. Atkinson, Mark A. Brakenridge, Scott C. Corry, David Kheradmand, Farrah Ehrlich, Lauren I.R. Melamed, Esther McComsey, Grace A. Sekaly, Rafick Diray-Arce, Joann Peters, Bjoern Augustine, Alison D. Reed, Elaine F. Altman, Matthew C. Becker, Patrice M. Rouphael, Nadine |
author_sort | Ozonoff, Al |
collection | PubMed |
description | BACKGROUND: Better understanding of the association between characteristics of patients hospitalized with coronavirus disease 2019 (COVID-19) and outcome is needed to further improve upon patient management. METHODS: Immunophenotyping Assessment in a COVID-19 Cohort (IMPACC) is a prospective, observational study of 1164 patients from 20 hospitals across the United States. Disease severity was assessed using a 7-point ordinal scale based on degree of respiratory illness. Patients were prospectively surveyed for 1 year after discharge for post-acute sequalae of COVID-19 (PASC) through quarterly surveys. Demographics, comorbidities, radiographic findings, clinical laboratory values, SARS-CoV-2 PCR and serology were captured over a 28-day period. Multivariable logistic regression was performed. FINDINGS: The median age was 59 years (interquartile range [IQR] 20); 711 (61%) were men; overall mortality was 14%, and 228 (20%) required invasive mechanical ventilation. Unsupervised clustering of ordinal score over time revealed distinct disease course trajectories. Risk factors associated with prolonged hospitalization or death by day 28 included age ≥ 65 years (odds ratio [OR], 2.01; 95% CI 1.28–3.17), Hispanic ethnicity (OR, 1.71; 95% CI 1.13–2.57), elevated baseline creatinine (OR 2.80; 95% CI 1.63– 4.80) or troponin (OR 1.89; 95% 1.03–3.47), baseline lymphopenia (OR 2.19; 95% CI 1.61–2.97), presence of infiltrate by chest imaging (OR 3.16; 95% CI 1.96–5.10), and high SARS-CoV2 viral load (OR 1.53; 95% CI 1.17–2.00). Fatal cases had the lowest ratio of SARS-CoV-2 antibody to viral load levels compared to other trajectories over time (p=0.001). 589 survivors (51%) completed at least one survey at follow-up with 305 (52%) having at least one symptom consistent with PASC, most commonly dyspnea (56% among symptomatic patients). Female sex was the only associated risk factor for PASC. INTERPRETATION: Integration of PCR cycle threshold, and antibody values with demographics, comorbidities, and laboratory/radiographic findings identified risk factors for 28-day outcome severity, though only female sex was associated with PASC. Longitudinal clinical phenotyping offers important insights, and provides a framework for immunophenotyping for acute and long COVID-19. FUNDING: NIH. |
format | Online Article Text |
id | pubmed-9359694 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-93596942022-08-09 Phenotypes of disease severity in a cohort of hospitalized COVID-19 patients: Results from the IMPACC study Ozonoff, Al Schaenman, Joanna Jayavelu, Naresh Doni Milliren, Carly E. Calfee, Carolyn S. Cairns, Charles B. Kraft, Monica Baden, Lindsey R. Shaw, Albert C. Krammer, Florian van Bakel, Harm Esserman, Denise A. Liu, Shanshan Sesma, Ana Fernandez Simon, Viviana Hafler, David A. Montgomery, Ruth R. Kleinstein, Steven H. Levy, Ofer Bime, Christian Haddad, Elias K. Erle, David J. Pulendran, Bali Nadeau, Kari C. Davis, Mark M. Hough, Catherine L. Messer, William B. Higuita, Nelson I. Agudelo Metcalf, Jordan P. Atkinson, Mark A. Brakenridge, Scott C. Corry, David Kheradmand, Farrah Ehrlich, Lauren I.R. Melamed, Esther McComsey, Grace A. Sekaly, Rafick Diray-Arce, Joann Peters, Bjoern Augustine, Alison D. Reed, Elaine F. Altman, Matthew C. Becker, Patrice M. Rouphael, Nadine eBioMedicine Articles BACKGROUND: Better understanding of the association between characteristics of patients hospitalized with coronavirus disease 2019 (COVID-19) and outcome is needed to further improve upon patient management. METHODS: Immunophenotyping Assessment in a COVID-19 Cohort (IMPACC) is a prospective, observational study of 1164 patients from 20 hospitals across the United States. Disease severity was assessed using a 7-point ordinal scale based on degree of respiratory illness. Patients were prospectively surveyed for 1 year after discharge for post-acute sequalae of COVID-19 (PASC) through quarterly surveys. Demographics, comorbidities, radiographic findings, clinical laboratory values, SARS-CoV-2 PCR and serology were captured over a 28-day period. Multivariable logistic regression was performed. FINDINGS: The median age was 59 years (interquartile range [IQR] 20); 711 (61%) were men; overall mortality was 14%, and 228 (20%) required invasive mechanical ventilation. Unsupervised clustering of ordinal score over time revealed distinct disease course trajectories. Risk factors associated with prolonged hospitalization or death by day 28 included age ≥ 65 years (odds ratio [OR], 2.01; 95% CI 1.28–3.17), Hispanic ethnicity (OR, 1.71; 95% CI 1.13–2.57), elevated baseline creatinine (OR 2.80; 95% CI 1.63– 4.80) or troponin (OR 1.89; 95% 1.03–3.47), baseline lymphopenia (OR 2.19; 95% CI 1.61–2.97), presence of infiltrate by chest imaging (OR 3.16; 95% CI 1.96–5.10), and high SARS-CoV2 viral load (OR 1.53; 95% CI 1.17–2.00). Fatal cases had the lowest ratio of SARS-CoV-2 antibody to viral load levels compared to other trajectories over time (p=0.001). 589 survivors (51%) completed at least one survey at follow-up with 305 (52%) having at least one symptom consistent with PASC, most commonly dyspnea (56% among symptomatic patients). Female sex was the only associated risk factor for PASC. INTERPRETATION: Integration of PCR cycle threshold, and antibody values with demographics, comorbidities, and laboratory/radiographic findings identified risk factors for 28-day outcome severity, though only female sex was associated with PASC. Longitudinal clinical phenotyping offers important insights, and provides a framework for immunophenotyping for acute and long COVID-19. FUNDING: NIH. Elsevier 2022-08-08 /pmc/articles/PMC9359694/ /pubmed/35952496 http://dx.doi.org/10.1016/j.ebiom.2022.104208 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Articles Ozonoff, Al Schaenman, Joanna Jayavelu, Naresh Doni Milliren, Carly E. Calfee, Carolyn S. Cairns, Charles B. Kraft, Monica Baden, Lindsey R. Shaw, Albert C. Krammer, Florian van Bakel, Harm Esserman, Denise A. Liu, Shanshan Sesma, Ana Fernandez Simon, Viviana Hafler, David A. Montgomery, Ruth R. Kleinstein, Steven H. Levy, Ofer Bime, Christian Haddad, Elias K. Erle, David J. Pulendran, Bali Nadeau, Kari C. Davis, Mark M. Hough, Catherine L. Messer, William B. Higuita, Nelson I. Agudelo Metcalf, Jordan P. Atkinson, Mark A. Brakenridge, Scott C. Corry, David Kheradmand, Farrah Ehrlich, Lauren I.R. Melamed, Esther McComsey, Grace A. Sekaly, Rafick Diray-Arce, Joann Peters, Bjoern Augustine, Alison D. Reed, Elaine F. Altman, Matthew C. Becker, Patrice M. Rouphael, Nadine Phenotypes of disease severity in a cohort of hospitalized COVID-19 patients: Results from the IMPACC study |
title | Phenotypes of disease severity in a cohort of hospitalized COVID-19 patients: Results from the IMPACC study |
title_full | Phenotypes of disease severity in a cohort of hospitalized COVID-19 patients: Results from the IMPACC study |
title_fullStr | Phenotypes of disease severity in a cohort of hospitalized COVID-19 patients: Results from the IMPACC study |
title_full_unstemmed | Phenotypes of disease severity in a cohort of hospitalized COVID-19 patients: Results from the IMPACC study |
title_short | Phenotypes of disease severity in a cohort of hospitalized COVID-19 patients: Results from the IMPACC study |
title_sort | phenotypes of disease severity in a cohort of hospitalized covid-19 patients: results from the impacc study |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359694/ https://www.ncbi.nlm.nih.gov/pubmed/35952496 http://dx.doi.org/10.1016/j.ebiom.2022.104208 |
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