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COVID Symptoms, Symptom Clusters, and Predictors for Becoming a Long-Hauler: Looking for Clarity in the Haze of the Pandemic

Emerging data suggest that the effects of infection with SARS-CoV-2 are far reaching extending beyond those with severe acute disease. Specifically, the presence of persistent symptoms after apparent resolution from COVID-19 have frequently been reported throughout the pandemic by individuals labele...

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Autores principales: Huang, Yong, Pinto, Melissa D., Borelli, Jessica L., Mehrabadi, Milad Asgari, Abrihim, Heather, Dutt, Nikil, Lambert, Natalie, Nurmi, Erika L., Chakraborty, Rana, Rahmani, Amir M., Downs, Charles A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941647/
https://www.ncbi.nlm.nih.gov/pubmed/33688670
http://dx.doi.org/10.1101/2021.03.03.21252086
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author Huang, Yong
Pinto, Melissa D.
Borelli, Jessica L.
Mehrabadi, Milad Asgari
Abrihim, Heather
Dutt, Nikil
Lambert, Natalie
Nurmi, Erika L.
Chakraborty, Rana
Rahmani, Amir M.
Downs, Charles A.
author_facet Huang, Yong
Pinto, Melissa D.
Borelli, Jessica L.
Mehrabadi, Milad Asgari
Abrihim, Heather
Dutt, Nikil
Lambert, Natalie
Nurmi, Erika L.
Chakraborty, Rana
Rahmani, Amir M.
Downs, Charles A.
author_sort Huang, Yong
collection PubMed
description Emerging data suggest that the effects of infection with SARS-CoV-2 are far reaching extending beyond those with severe acute disease. Specifically, the presence of persistent symptoms after apparent resolution from COVID-19 have frequently been reported throughout the pandemic by individuals labeled as “long-haulers”. The purpose of this study was to assess for symptoms at days 0–10 and 61+ among subjects with PCR-confirmed SARS-CoV-2 infection. The University of California COvid Research Data Set (UC CORDS) was used to identify 1407 records that met inclusion criteria. Symptoms attributable to COVID-19 were extracted from the electronic health record. Symptoms reported over the previous year prior to COVID-19 were excluded, using nonnegative matrix factorization (NMF) followed by graph lasso to assess relationships between symptoms. A model was developed predictive for becoming a long-hauler based on symptoms. 27% reported persistent symptoms after 60 days. Women were more likely to become long-haulers, and all age groups were represented with those aged 50 ± 20 years comprising 72% of cases. Presenting symptoms included palpitations, chronic rhinitis, dysgeusia, chills, insomnia, hyperhidrosis, anxiety, sore throat, and headache among others. We identified 5 symptom clusters at day 61+: chest pain-cough, dyspnea-cough, anxiety-tachycardia, abdominal pain-nausea, and low back pain-joint pain. Long-haulers represent a very significant public health concern, and there are no guidelines to address their diagnosis and management. Additional studies are urgently needed that focus on the physical, mental, and emotional impact of long-term COVID-19 survivors who become long-haulers.
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spelling pubmed-79416472021-03-10 COVID Symptoms, Symptom Clusters, and Predictors for Becoming a Long-Hauler: Looking for Clarity in the Haze of the Pandemic Huang, Yong Pinto, Melissa D. Borelli, Jessica L. Mehrabadi, Milad Asgari Abrihim, Heather Dutt, Nikil Lambert, Natalie Nurmi, Erika L. Chakraborty, Rana Rahmani, Amir M. Downs, Charles A. medRxiv Article Emerging data suggest that the effects of infection with SARS-CoV-2 are far reaching extending beyond those with severe acute disease. Specifically, the presence of persistent symptoms after apparent resolution from COVID-19 have frequently been reported throughout the pandemic by individuals labeled as “long-haulers”. The purpose of this study was to assess for symptoms at days 0–10 and 61+ among subjects with PCR-confirmed SARS-CoV-2 infection. The University of California COvid Research Data Set (UC CORDS) was used to identify 1407 records that met inclusion criteria. Symptoms attributable to COVID-19 were extracted from the electronic health record. Symptoms reported over the previous year prior to COVID-19 were excluded, using nonnegative matrix factorization (NMF) followed by graph lasso to assess relationships between symptoms. A model was developed predictive for becoming a long-hauler based on symptoms. 27% reported persistent symptoms after 60 days. Women were more likely to become long-haulers, and all age groups were represented with those aged 50 ± 20 years comprising 72% of cases. Presenting symptoms included palpitations, chronic rhinitis, dysgeusia, chills, insomnia, hyperhidrosis, anxiety, sore throat, and headache among others. We identified 5 symptom clusters at day 61+: chest pain-cough, dyspnea-cough, anxiety-tachycardia, abdominal pain-nausea, and low back pain-joint pain. Long-haulers represent a very significant public health concern, and there are no guidelines to address their diagnosis and management. Additional studies are urgently needed that focus on the physical, mental, and emotional impact of long-term COVID-19 survivors who become long-haulers. Cold Spring Harbor Laboratory 2021-03-05 /pmc/articles/PMC7941647/ /pubmed/33688670 http://dx.doi.org/10.1101/2021.03.03.21252086 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Huang, Yong
Pinto, Melissa D.
Borelli, Jessica L.
Mehrabadi, Milad Asgari
Abrihim, Heather
Dutt, Nikil
Lambert, Natalie
Nurmi, Erika L.
Chakraborty, Rana
Rahmani, Amir M.
Downs, Charles A.
COVID Symptoms, Symptom Clusters, and Predictors for Becoming a Long-Hauler: Looking for Clarity in the Haze of the Pandemic
title COVID Symptoms, Symptom Clusters, and Predictors for Becoming a Long-Hauler: Looking for Clarity in the Haze of the Pandemic
title_full COVID Symptoms, Symptom Clusters, and Predictors for Becoming a Long-Hauler: Looking for Clarity in the Haze of the Pandemic
title_fullStr COVID Symptoms, Symptom Clusters, and Predictors for Becoming a Long-Hauler: Looking for Clarity in the Haze of the Pandemic
title_full_unstemmed COVID Symptoms, Symptom Clusters, and Predictors for Becoming a Long-Hauler: Looking for Clarity in the Haze of the Pandemic
title_short COVID Symptoms, Symptom Clusters, and Predictors for Becoming a Long-Hauler: Looking for Clarity in the Haze of the Pandemic
title_sort covid symptoms, symptom clusters, and predictors for becoming a long-hauler: looking for clarity in the haze of the pandemic
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941647/
https://www.ncbi.nlm.nih.gov/pubmed/33688670
http://dx.doi.org/10.1101/2021.03.03.21252086
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