Efstathiou 2002 DKA-MPM
Efstathiou 2002 DKA-MPM. Six caller-assigned flags: severe coexisting disease at presentation (+6), pH <7.0 at presentation (+4), regular insulin >50 IU in the first 12 h (+4), glucose >16.7 mmol/L after 12 h (+4), depressed mental state after 24 h (+4), feve…
by api.magentlab.com · discovered, not yet claimed by its owner · updated 2026-10-13
Mirrored from Coinbase's public x402 Bazaar. The description is the provider's own text and has not been reviewed here; the payment requirements are copied as published.
What it does
Efstathiou 2002 DKA-MPM. Six caller-assigned flags: severe coexisting disease at presentation (+6), pH <7.0 at presentation (+4), regular insulin >50 IU in the first 12 h (+4), glucose >16.7 mmol/L after 12 h (+4), depressed mental state after 24 h (+4), fever after 24 h (+3). Max 25. Published in-hospital death 0.86% for scores 0–14 and 93.3% for 19–25; scores 15–18 return the total only. magent does not assay pH or glucose. Not a DKA treatment or insulin-dose order. Not a medical device.
Tags: dka-mpm · dka · ketoacidosis · mortality · calculator · bazaar
Call contract
- Method
- POST
- Input
- HTTP request
- Output
- json
- Last paid call
- 2026-10-13
{
"items": [
{
"depressed_mental_24h": false,
"fever_24h": false,
"glucose_gt_16_7_12h": false,
"insulin_gt_50_12h": false,
"ph_lt_7": false,
"severe_comorbidity": false
},
{
"depressed_mental_24h": false,
"fever_24h": false,
"glucose_gt_16_7_12h": false,
"insulin_gt_50_12h": false,
"ph_lt_7": false,
"severe_comorbidity": false
}
]
}{
"count": 2,
"items": [
{
"citation": {
"authors": "Efstathiou SP, Tsioulos DI, Tsiakou AG, Gratsias YG, Pefanis AV, Mountokalakis TD",
"doi": "10.1046/j.1365-2265.2002.01636.x",
"id": "efstathiou-2002",
"pmid": "12390332",
"source": "Clin Endocrinol (Oxf). 2002;57(5):595-601",
"title": "A mortality prediction model in diabetic ketoacidosis"
},
"components": [
{
"factor": "severe_comorbidity",
"points": 0,
"present": false
},
{
"factor": "ph_lt_7",
"points": 0,
"present": false
},
{
"factor": "insulin_gt_50_12h",
"points": 0,
"present": false
},
{
"factor": "glucose_gt_16_7_12h",
"points": 0,
"present": false
},
{
"factor": "depressed_mental_24h",
"points": 0,
"present": false
},
{
"factor": "fever_24h",
"points": 0,
"present": false
}
],
"disclaimer": "Not a medical device. Deterministic published-formula or published-code output for autonomous agents. A licensed clinician remains responsible for patient care and billing submissions.",
"formula": "dka_mpm",
"formula_expression": "DKA-MPM = severe_comorbidity 6 + ph_lt_7 4 + insulin_gt_50_12h 4 + glucose_gt_16_7_12h 4 + depressed_mental_24h 4 + fever_24h 3; Efstathiou 2002; max 25; published in-hospital death 0.86% scores 0-14 and 93.3% scores 19-25",
"max_score": 25,
"observed_mortality_percent": 0.86,
"score": 0
},
{
"citation": {
"authors": "Efstathiou SP, Tsioulos DI, Tsiakou AG, Gratsias YG, Pefanis AV, Mountokalakis TD",
"doi": "10.1046/j.1365-2265.2002.01636.x",
"id": "efstathiou-2002",
"pmid": "12390332",
"source": "Clin Endocrinol (Oxf). 2002;57(5):595-601",
"title": "A mortality prediction model in diabetic ketoacidosis"
},
"components": [
{
"factor": "severe_comorbidity",
"points": 0,
"present": false
},
{
"factor": "ph_lt_7",
"points": 0,
"present": false
},
{
"factor": "insulin_gt_50_12h",
"points": 0,
"present": false
},
{
"factor": "glucose_gt_16_7_12h",
"points": 0,
"present": false
},
{
"factor": "depressed_mental_24h",
"points": 0,
"present": false
},
{
"factor": "fever_24h",
"points": 0,
"present": false
}
],
"disclaimer": "Not a medical device. Deterministic published-formula or published-code output for autonomous agents. A licensed clinician remains responsible for patient care and billing submissions.",
"formula": "dka_mpm",
"formula_expression": "DKA-MPM = severe_comorbidity 6 + ph_lt_7 4 + insulin_gt_50_12h 4 + glucose_gt_16_7_12h 4 + depressed_mental_24h 4 + fever_24h 3; Efstathiou 2002; max 25; published in-hospital death 0.86% scores 0-14 and 93.3% scores 19-25",
"max_score": 25,
"observed_mortality_percent": 0.86,
"score": 0
}
],
"path": "/api/calc/dka_mpm"
}Use with an agent
- Discover. Agents find this listing with
GET https://bazaar.saylorinnovations.com/discovery/search?query=…, the MCP toolsearch_resources, or/discovery/resources. - Inspect. Fetch
/resources/39206.jsonfor the price and payment options. - Pay. Call
GET https://api.magentlab.com/api/calc/dka_mpm. The provider answers402with its payment requirements. An x402 client signs one of the options below and retries withPAYMENT-SIGNATURE. - Execute. The provider returns
200with the data. Agent Bazaar is not in the request path and never sees your payment.
For humans
You don't need an account or an API key; you need a wallet holding a small amount of USDC on Base, and an x402-capable client (see the examples below). Call the endpoint unpaid first to see exactly what it asks for.
Pricing & payment
- Price
- $0.005 / request
- Protocol
- x402 v2
- Auth
- No account or API key. Pay per request.
- Networks
- Base
- Demand
- 5 calls · 2 unique payers in 30d (public x402 Bazaar data)
x402 payment requirements
| Scheme | Network | Asset | Amount | Pay to | Timeout |
|---|---|---|---|---|---|
| exact | Base eip155:8453 | USDC | $0.005 | 0x836Be278f1739fB4308091cD1852F7971Bc19Ee2 | 600s |
accepts[] (raw JSON)
[
{
"scheme": "exact",
"network": "eip155:8453",
"payTo": "0x836Be278f1739fB4308091cD1852F7971Bc19Ee2",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"amount": "5000",
"amountUsd": 0.005,
"maxTimeoutSeconds": 600
}
]Schemas
Output schema (JSON Schema)
{
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}Example shape — generated from the schema, not a captured live response
{
"example": {},
"type": "string"
}Examples
curl "https://api.magentlab.com/api/calc/dka_mpm"
# -> 402 Payment Required, accepts[] lists how to pay
# retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paidconst res = await fetch("https://api.magentlab.com/api/calc/dka_mpm");
if (res.status === 402) {
const { accepts } = await res.json();
// pay one of accepts[] via an x402 client, then retry with the payment header
}import httpx
res = httpx.get("https://api.magentlab.com/api/calc/dka_mpm")
if res.status_code == 402:
accepts = res.json()["accepts"]
# pay one of accepts[] via an x402 client, then retry with the payment headerDetails
- Provider
- api.magentlab.com
- Endpoint
- https://api.magentlab.com/api/calc/dka_mpm
- Machine-readable
/resources/39206.json