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Predictors of Deaths Associated With Covid-19 in Patients Admitted to Two Hospitals in the State of Santa Catarina, Brazil

Bibliographic Data

ID21433265
AuthorsEdna Ribeiro de Jesus (0000-0001-8699-8972, Universidade Federal de Santa Catarina), Julia Estela Willrich Böell (0000-0001-5956-9590, Universidade Federal de Santa Catarina), Juliana Cristina Lessmann Reckziegel (0000-0003-4747-4038, Universidade Federal de Santa Catarina), Márcio Costa Silveira de Ávila (0000-0003-0490-6814, Instituto Maria Schmitt, Brasil), Millena Maria Piccolin (0000-0002-3371-7396, Faculdade de Santa Catarina, Brasil), Marinalda Boneli da Silva (0000-0002-6499-402X, Universidade Federal de Santa Catarina), Elisiane Lorenzini (0000-0001-8426-2080, Universidade Federal de Santa Catarina)
Year2023
Volume32
Publication date2023-01-01
Open AccessYes
TypeARTICLE
VenueTexto & Contexto - Enfermagem (JOURNAL)
Journal identifiersISSN: 0104-0707 • E-ISSN: 1980-265X
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/1980-265x-tce-2023-0107en
OpenAlexW4391040014
LanguageEN
References cited29

Objective: To investigate predictors of deaths associated with COVID-19 in patients admitted to two hospitals in the state of Santa Catarina, Brazil. Method: This is a retrospective cross-sectional study with 799 patients admitted to hospital for COVID-19 in 2020. The study took place in two reference hospitals for COVID-19 located in Greater Florianópolis, Santa Catarina, Brazil. Data collection took place from November 2020 to January 2021. Electronic medical records were used to collect data and were recorded in the Survey Monkey® application. The database was published in the Figshare Dataset Springer Nature© repository. Multivariate and bivariate analyzes were performed. Results: There was a predominance of male patients (57.9%), white patients (93.4%), senior patients (41.5%). The mean age was 61.5 years (±15.8). There was a higher occurrence of Diabetes Mellitus (54.2%) and hypertension (34.2%). Thus, 222 patients (27.8%) were admitted to the Intensive Care Unit. The outcome of death was observed in 157 patients (19.6%). There was a correlation between death and some sociodemographic and clinical variables. Conclusion: The study showed a higher prevalence of previous diseases such as hypertension, Diabetes Mellitus, obesity and chronic obstructive pulmonary disease. Age proved to be an independent risk factor for death. Occurrence of death in the age group over 80 years was 13 times higher compared to the younger population

Cause of death · Coronavirus disease 2019 (COVID-19) · Diabetes mellitus · Disease · Environmental health · Intensive care unit · Medical record · Obesity · Population · Retrospective cohort study · COVID-19 and healthcare impacts · COVID-19 Clinical Research Studies · Demography · Internal Medicine · Long-Term Effects of COVID-19 · Medicine · Pediatrics

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