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Predictors of chronic COVID-19 symptoms in a community-based cohort of adults

BACKGROUND: COVID-19 can cause some individuals to experience chronic symptoms. Rates and predictors of chronic COVID-19 symptoms are not fully elucidated. OBJECTIVE: To examine occurrence and patterns of post-acute sequelae of SARS-CoV2 infection (PASC) symptomatology and their relationship with de...

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Autores principales: Silverberg, Jonathan I., Zyskind, Israel, Naiditch, Hiam, Zimmerman, Jason, Glatt, Aaron E., Pinter, Abraham, Theel, Elitza S., Joyner, Michael J., Hill, D. Ashley, Lieberman, Miriam R., Bigajer, Elliot, Stok, Daniel, Frank, Elliot, Rosenberg, Avi Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352033/
https://www.ncbi.nlm.nih.gov/pubmed/35925904
http://dx.doi.org/10.1371/journal.pone.0271310
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author Silverberg, Jonathan I.
Zyskind, Israel
Naiditch, Hiam
Zimmerman, Jason
Glatt, Aaron E.
Pinter, Abraham
Theel, Elitza S.
Joyner, Michael J.
Hill, D. Ashley
Lieberman, Miriam R.
Bigajer, Elliot
Stok, Daniel
Frank, Elliot
Rosenberg, Avi Z.
author_facet Silverberg, Jonathan I.
Zyskind, Israel
Naiditch, Hiam
Zimmerman, Jason
Glatt, Aaron E.
Pinter, Abraham
Theel, Elitza S.
Joyner, Michael J.
Hill, D. Ashley
Lieberman, Miriam R.
Bigajer, Elliot
Stok, Daniel
Frank, Elliot
Rosenberg, Avi Z.
author_sort Silverberg, Jonathan I.
collection PubMed
description BACKGROUND: COVID-19 can cause some individuals to experience chronic symptoms. Rates and predictors of chronic COVID-19 symptoms are not fully elucidated. OBJECTIVE: To examine occurrence and patterns of post-acute sequelae of SARS-CoV2 infection (PASC) symptomatology and their relationship with demographics, acute COVID-19 symptoms and anti-SARS-CoV-2 IgG antibody responses. METHODS: A multi-stage observational study was performed of adults (≥18 years) from 5 US states. Participants completed two rounds of electronic surveys (May-July 2020; April-May 2021) and underwent testing to anti-SARS-CoV-2 nucleocapsid protein IgG antibody testing. Latent Class Analysis was used to identify clusters of chronic COVID-19 symptoms. RESULTS: Overall, 390 adults (median [25%ile, 75%ile] age: 42 [31, 54] years) with positive SARS-CoV-2 antibodies completed the follow-up survey; 92 (24.7%) had ≥1 chronic COVID-19 symptom, with 11-month median duration of persistent symptoms (range: 1–12 months). The most common chronic COVID-19 symptoms were fatigue (11.3%), change in smell (9.5%) or taste (5.6%), muscle or joint aches (5.4%) and weakness (4.6%). There were significantly higher proportions of ≥1 persistent COVID-19 symptom (31.5% vs. 18.6%; Chi-square, P = 0.004), and particularly fatigue (15.8% vs. 7.3%, P = 0.008) and headaches (5.4% vs. 1.0%, P = 0.011) in females compared to males. Chronic COVID-19 symptoms were also increased in individuals with ≥6 acute COVID-19 symptoms, Latent class analysis revealed 4 classes of symptoms. Latent class-1 (change of smell and taste) was associated with lower anti-SARS-CoV-2 antibody levels; class-2 and 3 (multiple chronic symptoms) were associated with higher anti-SARS-CoV-2 antibody levels and more severe acute COVID-19 infection. LIMITATIONS: Ambulatory cohort with less severe acute disease. CONCLUSION: Individuals with SARS-CoV-2 infection commonly experience chronic symptoms, most commonly fatigue, changes in smell or taste and muscle/joint aches. Female sex, severity of acute COVID-19 infection, and higher anti-SARS-CoV-2 IgG levels were associated with the highest risk of having chronic COVID-19 symptoms.
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spelling pubmed-93520332022-08-05 Predictors of chronic COVID-19 symptoms in a community-based cohort of adults Silverberg, Jonathan I. Zyskind, Israel Naiditch, Hiam Zimmerman, Jason Glatt, Aaron E. Pinter, Abraham Theel, Elitza S. Joyner, Michael J. Hill, D. Ashley Lieberman, Miriam R. Bigajer, Elliot Stok, Daniel Frank, Elliot Rosenberg, Avi Z. PLoS One Research Article BACKGROUND: COVID-19 can cause some individuals to experience chronic symptoms. Rates and predictors of chronic COVID-19 symptoms are not fully elucidated. OBJECTIVE: To examine occurrence and patterns of post-acute sequelae of SARS-CoV2 infection (PASC) symptomatology and their relationship with demographics, acute COVID-19 symptoms and anti-SARS-CoV-2 IgG antibody responses. METHODS: A multi-stage observational study was performed of adults (≥18 years) from 5 US states. Participants completed two rounds of electronic surveys (May-July 2020; April-May 2021) and underwent testing to anti-SARS-CoV-2 nucleocapsid protein IgG antibody testing. Latent Class Analysis was used to identify clusters of chronic COVID-19 symptoms. RESULTS: Overall, 390 adults (median [25%ile, 75%ile] age: 42 [31, 54] years) with positive SARS-CoV-2 antibodies completed the follow-up survey; 92 (24.7%) had ≥1 chronic COVID-19 symptom, with 11-month median duration of persistent symptoms (range: 1–12 months). The most common chronic COVID-19 symptoms were fatigue (11.3%), change in smell (9.5%) or taste (5.6%), muscle or joint aches (5.4%) and weakness (4.6%). There were significantly higher proportions of ≥1 persistent COVID-19 symptom (31.5% vs. 18.6%; Chi-square, P = 0.004), and particularly fatigue (15.8% vs. 7.3%, P = 0.008) and headaches (5.4% vs. 1.0%, P = 0.011) in females compared to males. Chronic COVID-19 symptoms were also increased in individuals with ≥6 acute COVID-19 symptoms, Latent class analysis revealed 4 classes of symptoms. Latent class-1 (change of smell and taste) was associated with lower anti-SARS-CoV-2 antibody levels; class-2 and 3 (multiple chronic symptoms) were associated with higher anti-SARS-CoV-2 antibody levels and more severe acute COVID-19 infection. LIMITATIONS: Ambulatory cohort with less severe acute disease. CONCLUSION: Individuals with SARS-CoV-2 infection commonly experience chronic symptoms, most commonly fatigue, changes in smell or taste and muscle/joint aches. Female sex, severity of acute COVID-19 infection, and higher anti-SARS-CoV-2 IgG levels were associated with the highest risk of having chronic COVID-19 symptoms. Public Library of Science 2022-08-04 /pmc/articles/PMC9352033/ /pubmed/35925904 http://dx.doi.org/10.1371/journal.pone.0271310 Text en © 2022 Silverberg et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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
Silverberg, Jonathan I.
Zyskind, Israel
Naiditch, Hiam
Zimmerman, Jason
Glatt, Aaron E.
Pinter, Abraham
Theel, Elitza S.
Joyner, Michael J.
Hill, D. Ashley
Lieberman, Miriam R.
Bigajer, Elliot
Stok, Daniel
Frank, Elliot
Rosenberg, Avi Z.
Predictors of chronic COVID-19 symptoms in a community-based cohort of adults
title Predictors of chronic COVID-19 symptoms in a community-based cohort of adults
title_full Predictors of chronic COVID-19 symptoms in a community-based cohort of adults
title_fullStr Predictors of chronic COVID-19 symptoms in a community-based cohort of adults
title_full_unstemmed Predictors of chronic COVID-19 symptoms in a community-based cohort of adults
title_short Predictors of chronic COVID-19 symptoms in a community-based cohort of adults
title_sort predictors of chronic covid-19 symptoms in a community-based cohort of adults
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352033/
https://www.ncbi.nlm.nih.gov/pubmed/35925904
http://dx.doi.org/10.1371/journal.pone.0271310
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