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Analysis of Survival of Patients Hospitalized with Covid-19 in Espírito Santo, Brazil

Datos Bibliográficos

ID15501395
AutoresJuliana Rodrigues Tovar Garbin (0000-0002-8184-7822, Secretaria da Saúde, autor de correspondencia), Franciele Marabotti Costa Leite (0000-0002-6171-6972, Universidade Federal do Espírito Santo), Luis Carlos Lopes-Júnior (0000-0002-2424-6510, Universidade Federal do Espírito Santo, autor de correspondencia), Cristiano Dell'Antonio (0000-0001-6568-1300, Hospital Sírio-Libanês), Larissa Soares Dell’Antonio (0000-0001-5084-2829, Secretaria da Saúde), Ana Paula Brioschi dos Santos (0000-0002-9701-0314, Secretaria da Saúde)
Año2022
Volumen19
Número14
Páginas8709-8709
Fecha de publicación2022-07-17
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores de la revistaISSN: 1661-7827 • E-ISSN: 1660-4601
EditorialMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19148709
PMID35886560
OpenAlexW4285731542
IdiomaEN
Citas recibidas1
Referencias citadas10

Objective: To analyze the survival of patients hospitalized with COVID-19 and its associated factors. Methods: Retrospective study of survival analysis in individuals notified and hospitalized with COVID-19 in the state of Espírito Santo, Brazil. As data source, the reports of hospitalized patients in the period from 1 March 2020, to 31 July 2021 were used. The Cox regression analysis plus the proportional risk assessment (assumption) were used to compare hospitalization time until the occurrence of the event (death from COVID-19) associated with possible risk factors. Results: The sample comprised 9806 notifications of cases, with the occurrence of 1885 deaths from the disease (19.22%). The mean age of the group was 58 years (SD ± 18.3) and the mean hospital length of stay was 10.5 days (SD ± 11.8). The factors that presented a higher risk of death from COVID-19, associated with a lower survival rate, were non-work-related infection (HR = 4.33; p < 0.001), age group 60−79 years (HR: 1.62; p < 0.001) and 80 years or older (HR = 2.56; p < 0.001), presence of chronic cardiovascular disease (HR = 1.18; p = 0.028), chronic kidney disease (HR = 1.5; p = 0.004), smoking (HR = 1.41; p < 0.001), obesity (HR = 2.28; p < 0.001), neoplasms (HR = 1.81; p < 0.001) and chronic neurological disease (HR = 1.68; p < 0.001). Conclusion: It was concluded that non-work-related infection, age group above or equal to 60 years, presence of chronic cardiovascular disease, chronic kidney disease, chronic neurological disease, smoking, obesity and neoplasms were associated with a higher risk of death, and, therefore, a lower survival in Brazilian patients hospitalized with COVID-19. The identification of priority groups is crucial for Health Surveillance and can guide prevention, control, monitoring, and intervention strategies against the new coronavirus

Coronavirus disease 2019 (COVID-19 · Disease · Infectious disease (medical specialty · Kidney disease · Obesity · Proportional hazards model · Retrospective cohort study · Survival analysis · COVID-19 and healthcare impacts · COVID-19 Clinical Research Studies · Long-Term Effects of COVID-19 · Medicine · Internal Medicine

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    Open Access•Larissa Soares Dell’Antonio, Franciele Marabotti Costa Leite et al.•International Journal of…•2022

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    Stephen A Lauer, Kyra H Grantz et al.•Annals of Internal Medicine•2020

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    Open Access•Arthur Simonnet, Mikael Chetboun et al.•Obesity•2020

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    Safiya Richardson, Jamie S Hirsch et al.•JAMA•2020

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    Open Access•Nanshan Chen, Min Zhou et al.•The Lancet•2020

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    Open Access•Kai Liu, Ying Chen et al.•Journal of Infection•2020

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    Chaomin Wu, Xiaoyan Chen et al.•JAMA Internal Medicine•2020

  • Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

    Open Access•Chaolin Huang, Yeming Wang et al.•The Lancet•2020

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    Open Access•Fei Zhou, Ting Yu et al.•The Lancet•2020

  • A survival analysis of Covid-19 in the Mexican population

    Open Access•Guillermo Salinas-Escudero, María Fernanda Carrillo-Vega et al.•BMC Public Health•2020

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    Open Access•André Luiz Oliveira Da Silva, Josino Costa Moreira et al.•Cadernos de Saude Publica•2020

Obras citantes distintas1
Citas por año0,25
Intervalo de citas2022 - 2022 (1)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 1
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