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Proposed integrative model for post-COVID symptoms.
Fernández-de-Las-Peñas, César; Florencio, Lidiane L; Gómez-Mayordomo, Víctor; Cuadrado, María L; Palacios-Ceña, Domingo; Raveendran, Arkiath Veettil.
Afiliação
  • Fernández-de-Las-Peñas C; Department of Physical Therapy, Occupational Therapy, Physical Medicine and Rehabilitation, Universidad Rey Juan Carlos (URJC), Madrid, Spain. Electronic address: cesar.fernandez@urjc.es.
  • Florencio LL; Department of Physical Therapy, Occupational Therapy, Physical Medicine and Rehabilitation, Universidad Rey Juan Carlos (URJC), Madrid, Spain.
  • Gómez-Mayordomo V; Department of Neurology, Hospital Clínico San Carlos, Madrid, Spain.
  • Cuadrado ML; Department of Neurology, Hospital Clínico San Carlos, Madrid, Spain; Department of Medicine, School of Medicine, Universidad Complutense de Madrid, Madrid, Spain.
  • Palacios-Ceña D; Department of Physical Therapy, Occupational Therapy, Physical Medicine and Rehabilitation, Universidad Rey Juan Carlos (URJC), Madrid, Spain.
  • Raveendran AV; Govt Medical College, Kozhikode, Kottayam, Manjeri, Kerala, India.
Diabetes Metab Syndr ; 15(4): 102159, 2021.
Article em En | MEDLINE | ID: mdl-34186367
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / SARS-CoV-2 / COVID-19 / Hospitalização Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / SARS-CoV-2 / COVID-19 / Hospitalização Idioma: En Ano de publicação: 2021 Tipo de documento: Article