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Epidemiological and clinical characteristics of COVID-19 in a Brazilian public hospital.
Pinheiro, Fillipe Dantas; Lopes, Luana Weber; Dórea, Rafael Santos Dantas Miranda; Araújo, Glauber Rocha Lima; da Silva, Filipe Antônio França; de Brito, Breno Bittencourt; Cordeiro Santos, Maria Luísa; Júnior, Geovani Moreno Santos; de Lorenzo Barcia, Maria Teresa Araújo; Marques, Renata de Amorim; Botelho, André Bezerra; Dantas, Anna Carolina Saúde; Costa, Davi Tanajura; Teixeira, Adriano Fernandes; Souza, Cláudio Lima; Marques, Lucas Miranda; Campos, Guilherme Barretos; Oliveira, Márcio Vasconcelos; de Magalhães Queiroz, Dulciene Maria; Freire de Melo, Fabrício.
Afiliación
  • Pinheiro FD; Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil.
  • Lopes LW; Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil.
  • Dórea RSDM; Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil.
  • Araújo GRL; Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil.
  • da Silva FAF; Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil.
  • de Brito BB; Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil.
  • Cordeiro Santos ML; Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil.
  • Júnior GMS; Hospital Geral de Vitória da Conquista, Vitória da Conquista 45030-160, Bahia, Brazil.
  • de Lorenzo Barcia MTA; Hospital Geral de Vitória da Conquista, Vitória da Conquista 45030-160, Bahia, Brazil.
  • Marques RA; Hospital Geral de Vitória da Conquista, Vitória da Conquista 45030-160, Bahia, Brazil.
  • Botelho AB; Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil.
  • Dantas ACS; Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil.
  • Costa DT; Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil.
  • Teixeira AF; Departamento de Ciências da Saúde, Universidade Estadual do Sudoeste da Bahia (UESB), Vitória da Conquista 45083-900, Bahia, Brazil.
  • Souza CL; Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil.
  • Marques LM; Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil.
  • Campos GB; Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil.
  • Oliveira MV; Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil.
  • de Magalhães Queiroz DM; Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil.
  • Freire de Melo F; Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Minas Gerais, Brazil.
World J Clin Cases ; 11(8): 1761-1770, 2023 Mar 16.
Article en En | MEDLINE | ID: mdl-36970001
BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has become a major health concern worldwide. In that context, the understanding of epidemiological and clinical features associated with the disease and its severity is crucial for the establishment of strategies aimed at disease control and remedy. AIM: To describe epidemiological features, signs, symptoms, and laboratory findings among severely ill COVID-19 patients from an intensive care unit in northeastern Brazil as well as to evaluate predictor factors for disease outcomes. METHODS: This is a prospective single-center study that evaluated 115 patients admitted to the intensive care unit in a northeastern Brazilian hospital. RESULTS: The patients had a median age of 65.60 ± 15.78 years. Dyspnea was the most frequent symptom, affecting 73.9% of the patients, followed by cough (54.7%). Fever was reported in approximately one-third of patients and myalgia in 20.8% of the patients. At least two comorbidities were found in 41.7% of the patients, and hypertension was the most prevalent (57.3%). In addition, having two or more comorbidities was a predictor of mortality, and lower platelet count was positively associated with death. Nausea and vomiting were two symptoms that were predictors of death, and the presence of a cough was a protective factor. CONCLUSION: This is the first report of a negative correlation between cough and death in severely ill severe acute respiratory syndrome coronavirus 2-infected individuals. The associations between comorbidities, advanced age, and low platelet count and the outcomes of the infection were similar to the results of previous studies, highlighting the relevance of these features.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 4_TD Problema de salud: 4_covid_19 Tipo de estudio: Prognostic_studies País/Región como asunto: America do sul / Brasil Idioma: En Revista: World J Clin Cases Año: 2023 Tipo del documento: Article País de afiliación: Brasil

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 4_TD Problema de salud: 4_covid_19 Tipo de estudio: Prognostic_studies País/Región como asunto: America do sul / Brasil Idioma: En Revista: World J Clin Cases Año: 2023 Tipo del documento: Article País de afiliación: Brasil
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