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Distinct temporal trajectories and risk factors for Post-acute sequelae of SARS-CoV-2 infection
BACKGROUND: The understanding of Post-acute sequelae of SARS-CoV-2 infection (PASC) can be improved by longitudinal assessment of symptoms encompassing the acute illness period. To gain insight into the various disease trajectories of PASC, we assessed symptom evolution and clinical factors associat...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614284/ https://www.ncbi.nlm.nih.gov/pubmed/37908849 http://dx.doi.org/10.3389/fmed.2023.1227883 |
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author | Chen, Chen Parthasarathy, Sairam Leung, Jacqueline M. Wu, Michelle J. Drake, Katherine A. Ridaura, Vanessa K. Zisser, Howard C. Conrad, William A. Tapson, Victor F. Moy, James N. deFilippi, Christopher R. Rosas, Ivan O. Prabhakar, Bellur S. Basit, Mujeeb Salvatore, Mirella Krishnan, Jerry A. Kim, Charles C. |
author_facet | Chen, Chen Parthasarathy, Sairam Leung, Jacqueline M. Wu, Michelle J. Drake, Katherine A. Ridaura, Vanessa K. Zisser, Howard C. Conrad, William A. Tapson, Victor F. Moy, James N. deFilippi, Christopher R. Rosas, Ivan O. Prabhakar, Bellur S. Basit, Mujeeb Salvatore, Mirella Krishnan, Jerry A. Kim, Charles C. |
author_sort | Chen, Chen |
collection | PubMed |
description | BACKGROUND: The understanding of Post-acute sequelae of SARS-CoV-2 infection (PASC) can be improved by longitudinal assessment of symptoms encompassing the acute illness period. To gain insight into the various disease trajectories of PASC, we assessed symptom evolution and clinical factors associated with the development of PASC over 3 months, starting with the acute illness period. METHODS: We conducted a prospective cohort study to identify parameters associated with PASC. We performed cluster and case control analyses of clinical data, including symptomatology collected over 3 months following infection. RESULTS: We identified three phenotypic clusters associated with PASC that could be characterized as remittent, persistent, or incident based on the 3-month change in symptom number compared to study entry: remittent (median; min, max: −4; −17, 3), persistent (−2; −14, 7), or incident (4.5; −5, 17) (p = 0.041 remittent vs. persistent, p < 0.001 remittent vs. incident, p < 0.001 persistent vs. incident). Despite younger age and lower hospitalization rates, the incident phenotype had a greater number of symptoms (15; 8, 24) and a higher proportion of participants with PASC (63.2%) than the persistent (6; 2, 9 and 52.2%) or remittent clusters (1; 0, 6 and 18.7%). Systemic corticosteroid administration during acute infection was also associated with PASC at 3 months [OR (95% CI): 2.23 (1.14, 4.36)]. CONCLUSION: An incident disease phenotype characterized by symptoms that were absent during acute illness and the observed association with high dose steroids during acute illness have potential critical implications for preventing PASC. |
format | Online Article Text |
id | pubmed-10614284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106142842023-10-31 Distinct temporal trajectories and risk factors for Post-acute sequelae of SARS-CoV-2 infection Chen, Chen Parthasarathy, Sairam Leung, Jacqueline M. Wu, Michelle J. Drake, Katherine A. Ridaura, Vanessa K. Zisser, Howard C. Conrad, William A. Tapson, Victor F. Moy, James N. deFilippi, Christopher R. Rosas, Ivan O. Prabhakar, Bellur S. Basit, Mujeeb Salvatore, Mirella Krishnan, Jerry A. Kim, Charles C. Front Med (Lausanne) Medicine BACKGROUND: The understanding of Post-acute sequelae of SARS-CoV-2 infection (PASC) can be improved by longitudinal assessment of symptoms encompassing the acute illness period. To gain insight into the various disease trajectories of PASC, we assessed symptom evolution and clinical factors associated with the development of PASC over 3 months, starting with the acute illness period. METHODS: We conducted a prospective cohort study to identify parameters associated with PASC. We performed cluster and case control analyses of clinical data, including symptomatology collected over 3 months following infection. RESULTS: We identified three phenotypic clusters associated with PASC that could be characterized as remittent, persistent, or incident based on the 3-month change in symptom number compared to study entry: remittent (median; min, max: −4; −17, 3), persistent (−2; −14, 7), or incident (4.5; −5, 17) (p = 0.041 remittent vs. persistent, p < 0.001 remittent vs. incident, p < 0.001 persistent vs. incident). Despite younger age and lower hospitalization rates, the incident phenotype had a greater number of symptoms (15; 8, 24) and a higher proportion of participants with PASC (63.2%) than the persistent (6; 2, 9 and 52.2%) or remittent clusters (1; 0, 6 and 18.7%). Systemic corticosteroid administration during acute infection was also associated with PASC at 3 months [OR (95% CI): 2.23 (1.14, 4.36)]. CONCLUSION: An incident disease phenotype characterized by symptoms that were absent during acute illness and the observed association with high dose steroids during acute illness have potential critical implications for preventing PASC. Frontiers Media S.A. 2023-10-16 /pmc/articles/PMC10614284/ /pubmed/37908849 http://dx.doi.org/10.3389/fmed.2023.1227883 Text en Copyright © 2023 Chen, Parthasarathy, Leung, Wu, Drake, Ridaura, Zisser, Conrad, Tapson, Moy, deFilippi, Rosas, Prabhakar, Basit, Salvatore, Krishnan and Kim. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Chen, Chen Parthasarathy, Sairam Leung, Jacqueline M. Wu, Michelle J. Drake, Katherine A. Ridaura, Vanessa K. Zisser, Howard C. Conrad, William A. Tapson, Victor F. Moy, James N. deFilippi, Christopher R. Rosas, Ivan O. Prabhakar, Bellur S. Basit, Mujeeb Salvatore, Mirella Krishnan, Jerry A. Kim, Charles C. Distinct temporal trajectories and risk factors for Post-acute sequelae of SARS-CoV-2 infection |
title | Distinct temporal trajectories and risk factors for Post-acute sequelae of SARS-CoV-2 infection |
title_full | Distinct temporal trajectories and risk factors for Post-acute sequelae of SARS-CoV-2 infection |
title_fullStr | Distinct temporal trajectories and risk factors for Post-acute sequelae of SARS-CoV-2 infection |
title_full_unstemmed | Distinct temporal trajectories and risk factors for Post-acute sequelae of SARS-CoV-2 infection |
title_short | Distinct temporal trajectories and risk factors for Post-acute sequelae of SARS-CoV-2 infection |
title_sort | distinct temporal trajectories and risk factors for post-acute sequelae of sars-cov-2 infection |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614284/ https://www.ncbi.nlm.nih.gov/pubmed/37908849 http://dx.doi.org/10.3389/fmed.2023.1227883 |
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