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Clinical Profile, Treatment and Predictors during the First COVID-19 Wave: A Population-Based Registry Analysis from Castile and Leon Hospitals

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Listed:
  • Eduardo Gutiérrez-Abejón

    (Pharmacological Big Data Laboratory, Faculty of Medicine, University of Valladolid, 47005 Valladolid, Spain
    Technical Direction of Pharmaceutical Assistance, Gerencia Regional de Salud de Castilla y León, 47007 Valladolid, Spain)

  • Eduardo Tamayo

    (BioCritic. Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain
    Department of Anaesthesiology, Hospital Clínico Universitario de Valladolid, 47003 Valladolid, Spain
    Department of Surgery, Faculty of Medicine, University of Valladolid, 47005 Valladolid, Spain)

  • Débora Martín-García

    (Department of Nephrology, Hospital Clínico Universitario de Valladolid, 47003 Valladolid, Spain)

  • F. Javier Álvarez

    (Pharmacological Big Data Laboratory, Faculty of Medicine, University of Valladolid, 47005 Valladolid, Spain
    BioCritic. Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain
    CEIm, Hospital Clínico Universitario de Valladolid, 47003 Valladolid, Spain
    F.J.Á. and F.H.-G. are co-senior authors.)

  • Francisco Herrera-Gómez

    (Pharmacological Big Data Laboratory, Faculty of Medicine, University of Valladolid, 47005 Valladolid, Spain
    BioCritic. Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain
    Department of Nephrology, Hospital Virgen de la Concha, 49022 Zamora, Spain
    F.J.Á. and F.H.-G. are co-senior authors.)

Abstract

The first wave of the COVID-19 pandemic collapsed the hospitals in Castile and Leon (Spain). An analysis of the clinical characteristics, drug therapies and principal outcome predictors in the COVID-19 hospitalized patients from 1 March to 31 May 2020 is presented through a population-based registry study. Hospital stay variables, ventilation mode data and clinical outcomes were observed. In Castile and Leon hospitals, 7307 COVID-19 patients were admitted, with 57.05% being male and a median of 76 years. The mortality rate was 24.43%, with a high incidence of severe acute respiratory syndrome (SARS) (14.03%) and acute kidney injury (AKI) (10.87%). The most used medicines were antibiotics (90.83%), antimalarials (42.63%), steroids (44.37%) and antivirals, such as lopinavir/ritonavir (42.63%). The use of tocilizumab (9.37%) and anti-SIRS (systemic inflammatory response syndrome) medicines (7.34%) were remarkable. Fundamentally, death occurred more likely over 65 years of age (OR: 9.05). In addition, the need for ventilation was associated with a higher probability of death (OR: 3.59), SARS (OR: 5.14) and AKI (OR: 2.31). The drug-use pattern had been modified throughout the COVID-19 first wave. Multiple factors, such as age, gender and the need for mechanical ventilation, were related to the worst evolution prognosis of the disease.

Suggested Citation

  • Eduardo Gutiérrez-Abejón & Eduardo Tamayo & Débora Martín-García & F. Javier Álvarez & Francisco Herrera-Gómez, 2020. "Clinical Profile, Treatment and Predictors during the First COVID-19 Wave: A Population-Based Registry Analysis from Castile and Leon Hospitals," IJERPH, MDPI, vol. 17(24), pages 1-15, December.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:24:p:9360-:d:461886
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    References listed on IDEAS

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