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Perception, Prevalence, and Prediction of Severe Infection and Post-acute Sequelae of COVID-19
BACKGROUND: The aim of the study was to assess, characterize, and describe the prevalence and predicting factors of patient-reported severe coronavirus disease 2019 (COVID-19) infection and post-acute sequelae of COVID-19 (PASC). METHODS: We prospectively surveyed patients who received care in our o...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Southern Society for Clinical Investigation. Published by Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743283/ https://www.ncbi.nlm.nih.gov/pubmed/35016849 http://dx.doi.org/10.1016/j.amjms.2022.01.002 |
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author | Knight, Dacre R.T. Munipalli, Bala Logvinov, Ilana I. Halkar, Meghana G. Mitri, Ghada Dabrh, Abd Moain Abu Hines, Stephanie L. |
author_facet | Knight, Dacre R.T. Munipalli, Bala Logvinov, Ilana I. Halkar, Meghana G. Mitri, Ghada Dabrh, Abd Moain Abu Hines, Stephanie L. |
author_sort | Knight, Dacre R.T. |
collection | PubMed |
description | BACKGROUND: The aim of the study was to assess, characterize, and describe the prevalence and predicting factors of patient-reported severe coronavirus disease 2019 (COVID-19) infection and post-acute sequelae of COVID-19 (PASC). METHODS: We prospectively surveyed patients who received care in our outpatient clinic for COVID-19 from March 13, 2020, through August 17, 2020, and then retrospectively reviewed their electronic health records. We collected data for age, sex, and persistence of symptoms and compared data for hospitalized and nonhospitalized patients. Continuous and categorical variables were summarized, including time from COVID-19 onset, time to resuming normal activities, and length of time away from work. RESULTS: Of those receiving the survey, 437 adult patients with different degrees of severity of COVID-19 illness responded: 77% were between 3 and 6 months from the onset of infection. In total, 34.9% had persistent symptoms, and 11.5% were hospitalized. The most common symptom was fatigue (75.9%), followed by poor sleep quality (60.3%), anosmia (56.8%), dysgeusia (55%), and dyspnea (54.6%). Predicting factors for PASC were female sex and a negative psychological impact of the disease. Age, hospitalization, persistent symptoms, psychological impact (e.g., anxiety and depression), and time missed from work were significantly associated with perception of having severe COVID-19 illness. Hospitalization was not significantly associated with PASC. CONCLUSIONS: Over one-third of patients in our study had PASC. Persistent symptoms correlated with severity of disease and were significantly more common for women, for patients who had psychological symptoms (depression and/or anxiety), and for patients reporting inability to resume normal activities. |
format | Online Article Text |
id | pubmed-8743283 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Southern Society for Clinical Investigation. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87432832022-01-10 Perception, Prevalence, and Prediction of Severe Infection and Post-acute Sequelae of COVID-19 Knight, Dacre R.T. Munipalli, Bala Logvinov, Ilana I. Halkar, Meghana G. Mitri, Ghada Dabrh, Abd Moain Abu Hines, Stephanie L. Am J Med Sci Clinical Investigation BACKGROUND: The aim of the study was to assess, characterize, and describe the prevalence and predicting factors of patient-reported severe coronavirus disease 2019 (COVID-19) infection and post-acute sequelae of COVID-19 (PASC). METHODS: We prospectively surveyed patients who received care in our outpatient clinic for COVID-19 from March 13, 2020, through August 17, 2020, and then retrospectively reviewed their electronic health records. We collected data for age, sex, and persistence of symptoms and compared data for hospitalized and nonhospitalized patients. Continuous and categorical variables were summarized, including time from COVID-19 onset, time to resuming normal activities, and length of time away from work. RESULTS: Of those receiving the survey, 437 adult patients with different degrees of severity of COVID-19 illness responded: 77% were between 3 and 6 months from the onset of infection. In total, 34.9% had persistent symptoms, and 11.5% were hospitalized. The most common symptom was fatigue (75.9%), followed by poor sleep quality (60.3%), anosmia (56.8%), dysgeusia (55%), and dyspnea (54.6%). Predicting factors for PASC were female sex and a negative psychological impact of the disease. Age, hospitalization, persistent symptoms, psychological impact (e.g., anxiety and depression), and time missed from work were significantly associated with perception of having severe COVID-19 illness. Hospitalization was not significantly associated with PASC. CONCLUSIONS: Over one-third of patients in our study had PASC. Persistent symptoms correlated with severity of disease and were significantly more common for women, for patients who had psychological symptoms (depression and/or anxiety), and for patients reporting inability to resume normal activities. Southern Society for Clinical Investigation. Published by Elsevier Inc. 2022-04 2022-01-10 /pmc/articles/PMC8743283/ /pubmed/35016849 http://dx.doi.org/10.1016/j.amjms.2022.01.002 Text en © 2022 Southern Society for Clinical Investigation. Published by Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Clinical Investigation Knight, Dacre R.T. Munipalli, Bala Logvinov, Ilana I. Halkar, Meghana G. Mitri, Ghada Dabrh, Abd Moain Abu Hines, Stephanie L. Perception, Prevalence, and Prediction of Severe Infection and Post-acute Sequelae of COVID-19 |
title | Perception, Prevalence, and Prediction of Severe Infection and Post-acute Sequelae of COVID-19 |
title_full | Perception, Prevalence, and Prediction of Severe Infection and Post-acute Sequelae of COVID-19 |
title_fullStr | Perception, Prevalence, and Prediction of Severe Infection and Post-acute Sequelae of COVID-19 |
title_full_unstemmed | Perception, Prevalence, and Prediction of Severe Infection and Post-acute Sequelae of COVID-19 |
title_short | Perception, Prevalence, and Prediction of Severe Infection and Post-acute Sequelae of COVID-19 |
title_sort | perception, prevalence, and prediction of severe infection and post-acute sequelae of covid-19 |
topic | Clinical Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743283/ https://www.ncbi.nlm.nih.gov/pubmed/35016849 http://dx.doi.org/10.1016/j.amjms.2022.01.002 |
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