Sia et al reported the ABCD score to triage a COVID-19 patient into severe and non-severe disease. This is suitable for a resource limited setting. The authors are from Sarawak General Hospital in Kuching, Malaysia.
ABCD is based on the first letter of the parameters.
Patient selection: COVID-19 prior to admission
Parameters:
(1) age in years (A)
(2) body mass index in kg per sq m (B)
(3) comorbidity (C), such as ischemic heart disease, diabetes, chronic kidney disease, malignancy, asthma, or COPD
(4) day of illness (D)
|
Parameter
|
Finding
|
Points
|
|
age
|
< 60 years
|
0
|
|
|
>= 60 years
|
2
|
|
body mass index
|
< 30 kg per sq m
|
0
|
|
|
>= 30 kg per sq m
|
1
|
|
comorbidity
|
no
|
0
|
|
|
yes
|
1
|
|
day of illness
|
< 7
|
0
|
|
|
7 to 12
|
1
|
|
|
> 12
|
0
|
total score =
= SUM(points for all of the parameters)
Interpretation:
• minimum score: 0
• maximum score: 5
• The higher the score the greater the risk of severe COVID.
• A score >= 2 has the highest Youden index (sensitivity 0.61, specificity 0.88) for severe disease.
Performance:
• The area under the ROC curve is 0.82
