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Description and analysis of representative COVID-19 cases–A retrospective cohort study
BACKGROUND: Most data on COVID-19 was collected in hospitalized cases. Much less is known about the spectrum of disease in entire populations. In this study, we examine a representative cohort of primarily symptomatic cases in an administrative district in Southern Germany. METHODS: We contacted all...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323911/ https://www.ncbi.nlm.nih.gov/pubmed/34329364 http://dx.doi.org/10.1371/journal.pone.0255513 |
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author | Herrmann, Yannis Starck, Tim Brindl, Niall Kitchen, Philip J. Rädeker, Lukas Sebastian, Jakob Köppel, Lisa Tobian, Frank Souares, Aurélia Mihaljevic, André L. Merle, Uta Hippchen, Theresa Herth, Felix Knorr, Britta Welker, Andreas Denkinger, Claudia M. |
author_facet | Herrmann, Yannis Starck, Tim Brindl, Niall Kitchen, Philip J. Rädeker, Lukas Sebastian, Jakob Köppel, Lisa Tobian, Frank Souares, Aurélia Mihaljevic, André L. Merle, Uta Hippchen, Theresa Herth, Felix Knorr, Britta Welker, Andreas Denkinger, Claudia M. |
author_sort | Herrmann, Yannis |
collection | PubMed |
description | BACKGROUND: Most data on COVID-19 was collected in hospitalized cases. Much less is known about the spectrum of disease in entire populations. In this study, we examine a representative cohort of primarily symptomatic cases in an administrative district in Southern Germany. METHODS: We contacted all confirmed SARS-CoV-2 cases in the administrative district. Consenting participants answered a retrospective survey either via a telephone, electronically or via mail. Clinical and sociodemographic features were compared between hospitalized and non-hospitalized patients. Additionally, we assessed potential risk factors for hospitalization and time to hospitalization in a series of regression models. RESULTS: We included 897 participants in our study, 69% out of 1,305 total cases in the district with a mean age of 47 years (range 2–97), 51% of which were female and 47% had a pre-existing illness. The percentage of asymptomatic, mild, moderate (leading to hospital admission) and critical illness (requiring mechanical ventilation) was 54 patients (6%), 713 (79%), 97 (11%) and 16 (2%), respectively. Seventeen patients (2%) died. The most prevalent symptoms were fatigue (65%), cough (62%) and dysgeusia (60%). The risk factors for hospitalization included older age (OR 1.05 per year increase; 95% CI 1.04–1.07) preexisting lung conditions (OR 3.09; 95% CI 1.62–5.88). Female sex was a protective factor (OR 0.51; 95% CI 0.33–0.77). CONCLUSION: This representative analysis of primarily symptomatic COVID-19 cases confirms age, male sex and preexisting lung conditions but not cardiovascular disease as risk factors for severe illness. Almost 80% of infection take a mild course, whereas 13% of patients suffer moderate to severe illness. TRIAL REGISTRATION: German Clinical Trials Register, DRKS00022926. URL: https://www.drks.de/drks_web/setLocale_EN.do |
format | Online Article Text |
id | pubmed-8323911 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-83239112021-07-31 Description and analysis of representative COVID-19 cases–A retrospective cohort study Herrmann, Yannis Starck, Tim Brindl, Niall Kitchen, Philip J. Rädeker, Lukas Sebastian, Jakob Köppel, Lisa Tobian, Frank Souares, Aurélia Mihaljevic, André L. Merle, Uta Hippchen, Theresa Herth, Felix Knorr, Britta Welker, Andreas Denkinger, Claudia M. PLoS One Research Article BACKGROUND: Most data on COVID-19 was collected in hospitalized cases. Much less is known about the spectrum of disease in entire populations. In this study, we examine a representative cohort of primarily symptomatic cases in an administrative district in Southern Germany. METHODS: We contacted all confirmed SARS-CoV-2 cases in the administrative district. Consenting participants answered a retrospective survey either via a telephone, electronically or via mail. Clinical and sociodemographic features were compared between hospitalized and non-hospitalized patients. Additionally, we assessed potential risk factors for hospitalization and time to hospitalization in a series of regression models. RESULTS: We included 897 participants in our study, 69% out of 1,305 total cases in the district with a mean age of 47 years (range 2–97), 51% of which were female and 47% had a pre-existing illness. The percentage of asymptomatic, mild, moderate (leading to hospital admission) and critical illness (requiring mechanical ventilation) was 54 patients (6%), 713 (79%), 97 (11%) and 16 (2%), respectively. Seventeen patients (2%) died. The most prevalent symptoms were fatigue (65%), cough (62%) and dysgeusia (60%). The risk factors for hospitalization included older age (OR 1.05 per year increase; 95% CI 1.04–1.07) preexisting lung conditions (OR 3.09; 95% CI 1.62–5.88). Female sex was a protective factor (OR 0.51; 95% CI 0.33–0.77). CONCLUSION: This representative analysis of primarily symptomatic COVID-19 cases confirms age, male sex and preexisting lung conditions but not cardiovascular disease as risk factors for severe illness. Almost 80% of infection take a mild course, whereas 13% of patients suffer moderate to severe illness. TRIAL REGISTRATION: German Clinical Trials Register, DRKS00022926. URL: https://www.drks.de/drks_web/setLocale_EN.do Public Library of Science 2021-07-30 /pmc/articles/PMC8323911/ /pubmed/34329364 http://dx.doi.org/10.1371/journal.pone.0255513 Text en © 2021 Herrmann 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 Herrmann, Yannis Starck, Tim Brindl, Niall Kitchen, Philip J. Rädeker, Lukas Sebastian, Jakob Köppel, Lisa Tobian, Frank Souares, Aurélia Mihaljevic, André L. Merle, Uta Hippchen, Theresa Herth, Felix Knorr, Britta Welker, Andreas Denkinger, Claudia M. Description and analysis of representative COVID-19 cases–A retrospective cohort study |
title | Description and analysis of representative COVID-19 cases–A retrospective cohort study |
title_full | Description and analysis of representative COVID-19 cases–A retrospective cohort study |
title_fullStr | Description and analysis of representative COVID-19 cases–A retrospective cohort study |
title_full_unstemmed | Description and analysis of representative COVID-19 cases–A retrospective cohort study |
title_short | Description and analysis of representative COVID-19 cases–A retrospective cohort study |
title_sort | description and analysis of representative covid-19 cases–a retrospective cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323911/ https://www.ncbi.nlm.nih.gov/pubmed/34329364 http://dx.doi.org/10.1371/journal.pone.0255513 |
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