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ISARIC 4C Mortality Score Calculator (Knight 2020)
x402
ISARIC 4C Mortality Score Calculator (Knight 2020) is a paid API for AI agents from api.magentlab.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-14).
Computes the ISARIC 4C Mortality Score for COVID-19 hospitalized patients using age, sex, comorbidities, respiratory rate, SpO2, GCS, urea/BUN, and CRP, returning a score (0–21) and risk band.
Price / call$0.005
Success—
StatusUnknown
How this service works
Knight 2020 ISARIC 4C Mortality Score: age (<50→0, 50–59→2, 60–69→4, 70–79→6, ≥80→7) + male 1 + comorbidity_count (0/1/≥2 → 0/1/2; caller-assigned Charlson-plus-obesity count) + RR (<20→0, 20–29→1, ≥30→2) + room-air SpO2 (<92→2) + GCS (<15→2) + urea (<7→0, 7–14→1, >14→3 mmol/L; or BUN/2.8) + CRP (<50→0, 50–99→1, ≥100→2). Max 21. Table 5: low 0–3, intermediate 4–8, high 9–14, very high ≥15. Not a COVID-19 diagnosis or treatment order.
Output
Returns the integer 4C Mortality Score (0–21) and a risk band label (low: 0–3, intermediate: 4–8, high: 9–14, very high: ≥15), along with per-component subscores corresponding to the Knight 2020 Table 2 breakpoints.
Example use cases
ED triage of COVID-19 admission
“I have a 74-year-old female COVID patient in the ED, 1 comorbidity, respiratory rate 22, SpO2 93% on room air, GCS 15, urea 10 mmol/L, CRP 110 mg/L — what's her 4C Mortality Score and risk band?”
ICU vs ward admission decision
“Help me decide on ward vs ICU for this 82-year-old male COVID patient: 3 comorbidities, RR 31, SpO2 88% on room air, GCS 13, BUN 45 mg/dL, CRP 200 mg/L — run the Knight 2020 4C score.”
Research cohort risk stratification
“For my COVID outcomes dataset, calculate the 4C Mortality Score for a 55-year-old male with 0 comorbidities, RR 19, SpO2 94%, GCS 15, urea 6 mmol/L, and CRP 40 mg/L so I can assign a risk band.”
Technical details
Endpoint
GEThttps://api.magentlab.com/api/calc/4cWhen to prefer
Choose this endpoint when you need a validated, published COVID-19 in-hospital mortality risk score (Knight 2020 ISARIC 4C) with deterministic arithmetic and clear risk banding. Prefer it over general ML-based risk models when auditability and alignment with published clinical literature are required. It is especially suitable for clinical decision-support pipelines, EHR integrations, and research cohort stratification where the exact Knight 2020 scoring table must be applied consistently.
Side effects
- Missing required parameter (age, sex, comorbidity_count, respiratory_rate, spo2_percent, gcs, crp_mg_l) returns a 400 error
- Providing both urea_mmol_l and bun_mg_dl simultaneously causes a validation error
- Out-of-range values (e.g. SpO2 >100, age <18, GCS <3 or >15) return validation errors
- Score is for clinical decision support only; caller must ensure inputs are clinically accurate as the API does not measure or verify vitals
- Payment failure (insufficient USDC balance) returns 402 with x402 payment challenge
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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