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Dr KK Aggarwal 19 September 2020
With input from Dr Monica Vasudev
4C mortality score predicts mortality in hospitalized patients with COVID-19
4C (Coronavirus Clinical Characterisation Consortium) Mortality Score can be used to accurately categorize patients hospitalized with coronavirus disease 2019 (COVID-19) as being at low, intermediate, high, or very high risk of death, according to a study published in The BMJ.
The 4C Mortality Score uses 8 variables -- age, sex, number of comorbidities, respiratory rate, peripheral oxygen saturation, level of consciousness, urea level, and C reactive protein -- to calculate a score that ranges from 0 to 21 points.
[British Medical Journal]
Variable | 4C Mortality Score |
Age (years) | |
<50 | — |
50-59 | +2 |
60-69 | +4 |
70-79 | +6 |
≥80 | +7 |
Sex at birth | |
Female | — |
Male | +1 |
No of comorbidities* | |
0 | — |
1 | +1 |
≥2 | +2 |
Respiratory rate (breaths/min) | |
<20 | — |
20-29 | +1 |
≥30 | +2 |
Peripheral oxygen saturation on room air (%) | |
≥92 | — |
<92 | +2 |
Glasgow coma scale score | |
15 | — |
<15 | +2 |
Urea (mmol/L) | |
≤7 ( 20 mg/dL) | — |
7-14 | +1 |
>14 ( 40 mg/dL) | +3 |
C-reactive protein (mg/dL) | |
<50 | — |
50-99 | +1 |
≥100 | +2 |
* Comorbidities were defined by using Charlson comorbidity index, with the addition of clinician defined obesity.
Dr KK Aggarwal
President CMAAO, HCFI and Past National President IMA
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