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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
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.
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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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