scarf_score: Sequential Clinical Assessment of Respiratory Function...
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scarf_score

R Documentation

Sequential Clinical Assessment of Respiratory Function (SCARF) Score

Description

Calculates the SCARF score to predict the risk of progression to severe pneumonia (composite of mechanical ventilation or death) in patients hospitalized with COVID-19. The score is based on respiratory rate, oxygen saturation, and the number of lung lobes affected on imaging.

Usage

scarf_score(respiratory_rate, spo2, lobes_affected)

Arguments

`respiratory_rate`	Numeric. Respiratory rate in breaths per minute. < 20: 0 pts. 20 - 24: 2 pts. 25 - 30: 4 pts. > 30: 6 pts.
`spo2`	Numeric. Oxygen saturation percentage (SpO2). > 96: 0 pts. 94 - 96: 2 pts. 90 - 93: 4 pts. < 90: 6 pts.
`lobes_affected`	Numeric. Number of lung lobes affected on Chest X-ray or CT (0-5). 0 - 1: 0 pts. 2 - 3: 2 pts. > 3: 5 pts.

Value

A list containing:

`SCARF_Score`	The calculated total score (Range 0-17).
`Risk_Category`	Classification (Low, Moderate, High).
`Risk_of_Severe_Pneumonia`	Estimated probability of progression to severe pneumonia within 14 days.

References

Doshi A, Shah P, Jariwala P, et al. Sequential Clinical Assessment of Respiratory Function (SCARF) Score: A Dynamic Prognostic Score for COVID-19. J Assoc Physicians India. 2021;69(1):11-12.

Examples


# Example 1: Low Risk
# RR 18 (0), SpO2 98 (0), 1 Lobe (0)
# Score = 0
scarf_score(18, 98, 1)

# Example 2: High Risk
# RR 26 (4), SpO2 92 (4), 4 Lobes (5)
# Score = 13
scarf_score(26, 92, 4)

cliot documentation built on Dec. 1, 2025, 1:06 a.m.