IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i14p8709-d864858.html
   My bibliography  Save this article

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

Author

Listed:
  • Juliana Rodrigues Tovar Garbin

    (Secretaria de Estado da Saúde do Espírito Santo, Special Epidemiological Surveillance Nucleus, Vitoria 29050-625, ES, Brazil)

  • Franciéle Marabotti Costa Leite

    (Graduate Program in Public Health, Federal University of Espírito Santo (UFES), Vitoria 29047-105, ES, Brazil)

  • Luís Carlos Lopes-Júnior

    (Graduate Program in Public Health, Federal University of Espírito Santo (UFES), Vitoria 29047-105, ES, Brazil)

  • Cristiano Soares da Silva Dell’Antonio

    (Hospital Sírio-Libanês, Instituto de Ensino e Pesquisa, São Paulo 01308-901, SP, Brazil)

  • Larissa Soares Dell’Antonio

    (Secretaria de Estado da Saúde do Espírito Santo, Special Epidemiological Surveillance Nucleus, Vitoria 29050-625, ES, Brazil)

  • Ana Paula Brioschi dos Santos

    (Secretaria de Estado da Saúde do Espírito Santo, Special Epidemiological Surveillance Nucleus, Vitoria 29050-625, ES, Brazil)

Abstract

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.

Suggested Citation

  • Juliana Rodrigues Tovar Garbin & Franciéle Marabotti Costa Leite & Luís Carlos Lopes-Júnior & Cristiano Soares da Silva Dell’Antonio & Larissa Soares Dell’Antonio & Ana Paula Brioschi dos Santos, 2022. "Analysis of Survival of Patients Hospitalized with COVID-19 in Espírito Santo, Brazil," IJERPH, MDPI, vol. 19(14), pages 1-16, July.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:14:p:8709-:d:864858
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/14/8709/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/14/8709/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qixin Yang & Xiyao Yang, 2020. "Incidence and risk factors of kidney impairment on patients with COVID-19: A meta-analysis of 10180 patients," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-13, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aurea Lima & Hugo Sousa & Amanda Nobre & Ana Luisa Faria & Manuela Machado, 2021. "The Impact of COVID-19 Pandemic in Portuguese Cancer Patients: A Retrospective Study," IJERPH, MDPI, vol. 18(16), pages 1-15, August.
    2. Holly L. Richmond & Joana Tome & Haresh Rochani & Isaac Chun-Hai Fung & Gulzar H. Shah & Jessica S. Schwind, 2020. "The Use of Penalized Regression Analysis to Identify County-Level Demographic and Socioeconomic Variables Predictive of Increased COVID-19 Cumulative Case Rates in the State of Georgia," IJERPH, MDPI, vol. 17(21), pages 1-12, October.
    3. Veruscka Leso & Luca Fontana & Ivo Iavicoli, 2021. "Susceptibility to Coronavirus (COVID-19) in Occupational Settings: The Complex Interplay between Individual and Workplace Factors," IJERPH, MDPI, vol. 18(3), pages 1-16, January.
    4. Tania Buttiron Webber & Silvia Giuliano & Carlotta Patrone & Irene Maria Briata & Maria Franconeri & Francesca Marceca & Monica Magnani & Fortuna Paciolla & Nicoletta Provinciali & Carlotta Defferrari, 2021. "Home Se-Cure: A Home Care Service for Cancer Patients during the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(20), pages 1-8, October.
    5. Ning Zhang & Tao Xie & Wei Ning & Rongxin He & Bin Zhu & Ying Mao, 2021. "The Severity of COVID-19 and Its Determinants: A Systematic Review and Meta-Analysis in China," Sustainability, MDPI, vol. 13(9), pages 1-17, May.
    6. Arthur Eumann Mesas & Iván Cavero-Redondo & Celia Álvarez-Bueno & Marcos Aparecido Sarriá Cabrera & Selma Maffei de Andrade & Irene Sequí-Dominguez & Vicente Martínez-Vizcaíno, 2020. "Predictors of in-hospital COVID-19 mortality: A comprehensive systematic review and meta-analysis exploring differences by age, sex and health conditions," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-23, November.
    7. C. Vladimir Rodríguez-Caballero & J. Eduardo Vera-Valdés, 2021. "Air Pollution and Mobility, What Carries COVID-19?," Econometrics, MDPI, vol. 9(4), pages 1-17, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:14:p:8709-:d:864858. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.