Programa de Pós-Graduação em Assistência Farmacêutica - PPGAF/ICS
URI Permanente desta comunidadehttps://repositorio.ufpa.br/handle/2011/15126
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Item Acesso aberto (Open Access) Desenvolvimento de uma ficha de admissão para pacientes hospitalizados com COVID-19 em um hospital no estado do Pará(Universidade Federal do Pará, 2022-11-18) CASTRO, Eline Fernandes Ribeiro de; RIBEIRO, Carolina Heitmann Mares Azevedo; http://lattes.cnpq.br/3848996822163999; https://orcid.org/0000-0002-9457-2733; ALBÉRIO, Carlos Augusto Abreu; http://lattes.cnpq.br/2335187399740995; https://orcid.org/0000-0002-9364-3990Objective: Develop an admission form for patients hospitalized for COVID-19 in a private hospital in the state of Pará. The application of the admission form aims at a more assertive clinical decision-making and the reduction of negative outcomes. Methodology: This is a retrospective, cross-sectional and quantitative study, carried out by collecting data from adult patients hospitalized with a diagnosis of COVID-19 from March to June 2020 at the hospital under study. Data collection was divided between patient-related information such as personal data and clinical data such as signs/symptoms on admission, comorbidities and length of stay. Records of vital signs and results of laboratory tests and imaging were also collected. The data obtained were tabulated in Microsoft Excel and statistical analysis Odds ratio and Chi-square with a significance level of 5%. Results: A total of 212 hospitalized patients were evaluated, predominantly male and aged between 60 and 80 years. The presence of comorbidities was identified in 70.8% (n 150) of the patients and, in this case, the occurrence of negative outcomes was higher. After the univariate analysis, the variables that proved to be significant in relation to the negative outcomes were: male gender, age group ≥80 years, presence of some comorbidity, palliative care, hospitalization time >20 days. Conclusion: These results create the possibility of conducting prospective studies to improve care tools for patients with COVID-19, including the development of predictive scales for severe illness. Key Words: COVID-19; SARS-Cov-2; Comorbidities; Hospitalization.