Cutaneous manifestations in COVID 19 infection: Bibliographic Review
DOI:
https://doi.org/10.1590/SciELOPreprints.1102Keywords:
covid-19, skin manifestations, androgens, dermatologistAbstract
Introduction: In December 2019, they reported cases of unexplained pneumonia in Wuhan, China. The pathogen, a new coronavirus called severe acute respiratory syndrome (SARSCoV2), was named COVID-19 (coronavirus disease 2019). By February 15, COVID-19 spread across China and around the world, until a pandemic condition was announced on March 11. In Ecuador on February 20 the first case was identified. With the current literature on skin manifestations in COVID-19, in this review, we will focus on the analysis of the description of the skin manifestations presented in infected patients. Objective: to provide an updated descriptive analysis of a sample of patients with unexplained skin manifestations and a diagnosis of COVID-19. Method: it is a non-systematic bibliographic review based on article search using the criteria "skin manifestations and COVID-19" and "skin and COVID 19" in the search engines: PUBMed, ScieLo, Intramed and Psycinfo. Results: In this review, 20 scientific articles were collected, of which 16 were selected for the study, and only 12 met the inclusion criteria. Discussion: dermatological patterns are identified in this collection of articles: erythematous rash, gallbladder lesions, millimeter purpuric macules in flexures, purpuric plaques, urticaria, morbilliform exanthema, ischemic acral lesions, "androgenetic alopecia", these patterns could serve as diagnostic aid and also for research of alternative therapies. Conclusion: Considering all the current information collected on skin manifestations in patients with COVID-19, it is determined that there are not enough cases described to relate both pathologies, but if the number of the sample is increased, these would serve as diagnostic and research support. of possible therapeutic alternatives.
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Copyright (c) 2020 Jessica Herrera, Angel Peñafiel , Mauricio Rivas

This work is licensed under a Creative Commons Attribution 4.0 International License.


