Frontiers in Public Health (Sep 2023)

Relationship between clinical-epidemiological parameters and outcomes of patients with COVID-19 admitted to the intensive care unit: a report from a Brazilian hospital

  • Maisah Meyhr D’Carmo Sodré,
  • Uener Ribeiro dos Santos,
  • Heitor Portella Povoas,
  • Júlio Lenin Guzmán,
  • Caroline Junqueira,
  • Caroline Junqueira,
  • Caroline Junqueira,
  • Tayana Oliveira Trindade,
  • Sandra Rocha Gadelha,
  • Carla Cristina Romano,
  • Aline Oliveira da Conceição,
  • Eduardo Gross,
  • Aline Silva,
  • Rachel Passos Rezende,
  • Renato Fontana,
  • Camila Pacheco Silveira Martins da Mata,
  • Lauro Juliano Marin,
  • Luciana Debortoli de Carvalho

DOI
https://doi.org/10.3389/fpubh.2023.1241444
Journal volume & issue
Vol. 11

Abstract

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BackgroundPeople in low-income countries, especially those with low socio-economic conditions, are likelier to test positive for SARS-CoV-2. The unequal conditions of public health systems also increase the infection rate and make early identification and treatment of at-risk patients difficult. Here, we aimed to characterize the epidemiological profile of COVID-19 patients in intensive care and identify laboratory and clinical markers associated with death.Materials and methodsWe conducted an observational, descriptive, and cross-sectional study in a reference hospital for COVID-19 treatment in the Southern Region of Bahia State, in Brazil, to evaluate the epidemiological, clinical, and laboratory characteristics of COVID-19 patients admitted to the intensive care unit (ICU). Additionally, we used the area under the curve (AUC) to classify survivors and non-survivors and a multivariate logistic regression analysis to assess factors associated with death. Data was collected from the hospital databases between April 2020 and July 2021.ResultsThe use of bladder catheters (OR 79.30; p < 0.0001) and central venous catheters (OR, 45.12; p < 0.0001) were the main factors associated with death in ICU COVID-19 patients. Additionally, the number of non-survivors increased with age (p < 0.0001) and prolonged ICU stay (p < 0.0001). Besides, SAPS3 presents a higher sensibility (77.9%) and specificity (63.1%) to discriminate between survivors and non-survivor with an AUC of 0.79 (p < 0.0001).ConclusionWe suggest that multi-laboratory parameters can predict patient prognosis and guide healthcare teams toward more assertive clinical management, better resource allocation, and improved survival of COVID-19 patients admitted to the ICU.

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