Article ; Online: Proposed integrative model for post-COVID symptoms.
2021 Volume 15, Issue 4, Page(s) 102159
Abstract: Background and aims: To propose an integrative model for post-COVID symptoms by considering ... Conclusion: Since current literature on post-COVID is heterogeneous, this integrative model could help ... articles and reviews on post-COVID symptoms.: Results: The first consideration is to define ...
Abstract | Background and aims: To propose an integrative model for post-COVID symptoms by considering the absence/presence of previous symptomatology. Methods: We searched different databases for original articles and reviews on post-COVID symptoms. Results: The first consideration is to define which symptoms are of "new-onset" (symptoms never experienced by a patient before COVID-19 and experienced the first time after) and which symptoms are "exacerbated" (symptoms experienced by a patient prior to COVID-19 but aggravated later) after infection. The second consideration includes defining "persistent" (symptoms experienced at the acute phase and continuing after without remission period) and "delayed-onset" (symptoms not experienced at the acute phase of the infection but appearing after a "latency period"). This model integrates predisposing individual factors, biological factors associated to the severity of disease, hospitalization/treatment factors, and outbreak surrounding factors which may promote post-COVID. Conclusion: Since current literature on post-COVID is heterogeneous, this integrative model could help to a better characterization of long-COVID. |
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MeSH term(s) | COVID-19/complications ; COVID-19/etiology ; COVID-19/pathology ; COVID-19/transmission ; COVID-19/virology ; Hospitalization/statistics & numerical data ; Humans ; Models, Statistical ; SARS-CoV-2/isolation & purification ; Post-Acute COVID-19 Syndrome |
Language | English |
Publishing date | 2021-06-01 |
Publishing country | Netherlands |
Document type | Journal Article |
ZDB-ID | 2273766-2 |
ISSN | 1878-0334 ; 1871-4021 |
ISSN (online) | 1878-0334 |
ISSN | 1871-4021 |
DOI | 10.1016/j.dsx.2021.05.032 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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