| nirudak_score | R Documentation |
Calculates the NIRUDAK (Novel Innovative Research Understanding Dehydration) Score, a clinical prediction rule to assess the severity of dehydration in children. The score uses a combination of six easily assessable clinical signs to predict significant dehydration (e.g., \ge 5% weight loss).
nirudak_score(crt_seconds, tachycardia_present, lethargy_coma, dry_mucous_membranes,
cold_mottled_extremities, sunken_eyes)
crt_seconds |
Numeric. Capillary Refill Time (CRT) in seconds. ( |
tachycardia_present |
Numeric (0 or 1). Presence of tachycardia (Heart Rate greater than the 90th percentile for age). (1 = Yes, +2 points). |
lethargy_coma |
Numeric (0 or 1). Altered mental status (lethargy or comatose). (1 = Yes, +2 points). |
dry_mucous_membranes |
Numeric (0 or 1). Dry mucous membranes (DMM) present. (1 = Yes, +1 point). |
cold_mottled_extremities |
Numeric (0 or 1). Presence of cold or mottled extremities. (1 = Yes, +2 points). |
sunken_eyes |
Numeric (0 or 1). Sunken eyes present. (1 = Yes, +1 point). |
A list containing:
NIRUDAK_Score |
The calculated total score (Range 0-10). |
Risk_Level |
Risk stratification (Low < 3, Moderate 3-5, High |
Jackson MC, et al. A clinical prediction rule for significant dehydration in children: The NIRUDAK score. Lancet. 2018;391(10116):159-166.
# Example 1: High Risk (Severe Dehydration Likely)
# CRT 4s (+2), Tachycardia (+2), Cold Extremities (+2)
# Score = 6
nirudak_score(4, 1, 0, 0, 1, 0)
# Example 2: Low Risk
# CRT 2s, No tachycardia, Dry Mucous Membranes (+1)
# Score = 1
nirudak_score(2, 0, 0, 1, 0, 0)
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