Delayed discharge is associated with higher complement C3 levels and a longer nucleic acid-negative conversion time

Peihuang Lin1, Wenhuang Chen2, Hongbo Huang3

  • 1Department of Basic Medicine, Quanzhou Medical College, Quanzhou, China.

Scientific Reports
|January 14, 2021
PubMed

Insights

Delayed hospital discharge for COVID-19 patients is linked to longer time for SARS-CoV-2 RNA negativity and elevated complement C3 levels. Monitoring these factors can help predict discharge delays in coronavirus disease patients.

Area of Science:

  • Infectious Diseases
  • Clinical Medicine
  • Epidemiology

Background:

  • Hospitalized patients with coronavirus disease (COVID-19) may experience delayed discharge.
  • Identifying factors associated with prolonged hospital stays is crucial for resource management and patient care.

Purpose of the Study:

  • To determine factors associated with delayed discharge in hospitalized COVID-19 patients.
  • To identify predictors for prolonged length of hospital stay in coronavirus disease patients.

Main Methods:

  • Retrospective cohort study of 47 COVID-19 patients in Quanzhou City, China.
  • Univariate and multivariate logistic regression analyses were used to identify risk factors for delayed discharge.
  • Delayed discharge was defined as a length of hospital stay ≥ 21 days.

Main Results:

  • The median length of hospital stay was 22 days.
  • Factors associated with delayed discharge included diarrhea, anorexia, low white blood cell counts, elevated complement C3 and C-reactive protein, air bronchograms, and thymalfasin treatment.
  • Multivariate analysis identified time to severe acute respiratory syndrome coronavirus (SARS-CoV-2) RNA-negative conversion (OR: 1.48) and complement C3 levels (OR: 1.14) as independent risk factors for delayed discharge.

Conclusions:

  • Time to SARS-CoV-2 RNA-negative conversion and complement C3 levels are significant predictors of delayed hospital discharge in COVID-19 patients.
  • Dynamic monitoring of complement C3 and SARS-CoV-2 RNA levels can aid in predicting delayed discharge, optimizing patient management.