Model E5

Model E5 is aimed at COVID positive patients based on clinical variables

Model E5 is a diagnostic model that improves detection rate and detection speed of COVID-19 patients by including clinical variables.
Reference : Cong-Ying Song
no      yes
no      yes
no      yes
F      M
<37,8°C      >37,7°C
(number of symptoms)
<5,8      >5,7
The model had an AUC of 0.956 [95%CI 0.935-0.977] on the training dataset and an AUC of 0.960 [95%CI 0.919-1.0, P < 0.001] on the validation dataset.

Outcome should be “Probability of severe illness in case of infection”.

Definition of severe disease: Severe illness is defined as meeting at least one of the following criteria during hospitalization:
• respiratory distress with respiratory frequency ≥ 30/min
• pulse oximeter oxygen saturation ≤ 93% at rest
• oxygenation index (artery partial pressure of oxygen/inspired oxygen fraction) ≤ 300 mmHg
• respiratory failure requiring mechanical ventilation
• shock
• ICU admission due to combined organ failure
• death