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Rapid systematic review of respiratory rate as a vital sign of clinical deterioration in COVID-19.

John Tredinnick-RoweRehan Symonds
Published in: Expert review of respiratory medicine (2023)
Multinational studies across dozens of countries have shown respiratory rate to have predictive accuracy in detecting COVID-19 deterioration. However, considerable variability is present in the data, making it harder to be sure about the effects. There is no meaningful difference in data quality in terms of variability (95% CI intervals) between vital signs as predictors of decline in COVID-19 patients. Contextual and economic factors will likely determine the choice of measurement used.
Keyphrases
  • sars cov
  • coronavirus disease
  • systematic review
  • electronic health record
  • big data
  • meta analyses
  • respiratory tract
  • machine learning
  • quality improvement
  • case control
  • artificial intelligence
  • decision making