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de Jong 2025 Rotterdam Hip Fracture Mortality Prediction (RHMP-30)
x402
de Jong 2025 Rotterdam Hip Fracture Mortality Prediction (RHMP-30) is a paid API for AI agents from api.magentlab.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-15).
Calculates the 30-day mortality probability for hip fracture patients using the de Jong 2025 RHMP-30 LASSO logistic regression model from seven caller-supplied clinical inputs.
Price / call$0.005
Success—
StatusUnknown
How this service works
de Jong 2025 Rotterdam Hip Fracture Mortality Prediction-30 Days (RHMP-30) LASSO logit from age, sex (published female coefficient, not race), albumin g/L, dementia, Katz-ADL total 0-6, ASA 4, and nursing-home residence. Returns logit and estimated_mortality_percent from the unrounded logit. Not an operative vs nonoperative order. magent does not assign ASA or Katz.
Output
Returns a logit value (raw linear predictor from the de Jong 2025 LASSO model) and an estimated_mortality_percent (probability of 30-day mortality derived from the unrounded logit), allowing downstream clinical decision support without rounding artefacts.
Example use cases
Geriatric hip fracture pre-op risk briefing
“My patient is a 78-year-old male, albumin 28 g/L, no dementia, Katz-ADL of 4, not ASA 4, lives at home — can you run the RHMP-30 model and tell me his 30-day mortality estimate?”
Nursing home resident prognosis after fall
“An 88-year-old female nursing home resident fell and fractured her hip. She has dementia, albumin of 25 g/L, Katz-ADL of 1, and is classified ASA 4. What does the Rotterdam 30-day hip fracture mortality model predict?”
Comparing mortality risk across two patients
“I have two hip fracture patients. First: 74-year-old male, albumin 38 g/L, no dementia, Katz-ADL 5, not ASA 4, lives at home. Second: 90-year-old female, albumin 22 g/L, dementia, Katz-ADL 1, ASA 4, nursing home. Run the RHMP-30 model for both and compare their 30-day mortality probabilities.”
Technical details
Endpoint
GEThttps://api.magentlab.com/api/calc/rhmp_30When to prefer
Use this endpoint when you need a validated, published logistic regression model (de Jong 2025, Rotterdam cohort) for 30-day hip fracture mortality and have all seven required clinical inputs pre-assigned by a clinician. Prefer it over generic frailty scores when the specific RHMP-30 coefficients are required for audit or reproducibility. Do not use it to assign ASA class, Katz-ADL scores, diagnose dementia, or adjudicate operative vs. non-operative management — those determinations must come from the caller.
Side effects
- Missing required query parameters (age, sex, albumin_g_l, dementia, katz_adl, asa_4, nursing_home) return a validation error
- Age outside integer range 40-110 may be rejected or produce out-of-range extrapolation
- Albumin supplied in g/dL instead of g/L will silently produce an incorrect logit (no unit conversion performed)
- Katz-ADL outside 0-6 integer range will fail schema validation
- Payment failure (x402) if USDC balance is insufficient for the $0.005 call fee
- Network timeout or API unavailability returns HTTP 5xx
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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