Nguyen 2018 first-day AMI READMITS integer score for 30-day all-cause readmissio
Nguyen 2018 first-day AMI READMITS integer score for 30-day all-cause readmission: creatinine >2 mg/dL (6), elevated BNP >=50 or NT-proBNP >=125 pg/mL (8), 1 point per decade over 18, diabetes (4), female sex (2), no PCI within 24 hours (1), SBP <100 mm Hg (3). Table 4 quintiles with mean predicted risk. Not a medical device, not a PCI or discharge order, and not the full-stay model.
Asked 1.4x its listed price for its own exampleour last check, 2026-09-28
1 of 1checks answered this week
319 msmedian answer time
$0.005listed price per call
$0.007price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://api.magentlab.com/api/calc/readmits
| Category | Everything else |
|---|---|
| Provider host | api.magentlab.com |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 0 from 0 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-28 | valid payment request | 402 | $0.007 | 319 ms |
Example input (from the provider)
{
"body": {
"items": [
{
"age_years": 58,
"creatinine_gt_2": false,
"diabetes": false,
"elevated_bnp": false,
"pci_within_24h": true,
"sbp_lt_100": false,
"sex": "male"
},
{
"age_years": 58,
"creatinine_gt_2": false,
"diabetes": false,
"elevated_bnp": false,
"pci_within_24h": true,
"sbp_lt_100": false,
"sex": "male"
}
]
},
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"additionalProperties": false,
"properties": {
"items": {
"items": {
"properties": {
"age_years": {
"description": "Age in years (18-100). Nguyen 2018: 1 point per decade over 18, floor((age_years-18)/10).",
"type": "integer"
},
"creatinine_gt_2": {
"description": "Whether serum creatinine was >2 mg/dL within the first 24 hours (Nguyen 2018: 6 points). Caller-assigned. magent does not assay creatinine.",
"type": "boolean"
},
"diabetes": {
"description": "Diabetes mellitus history (Nguyen 2018: 4 points). true or false.",
"type": "boolean"
},
"elevated_bnp": {
"description": "Whether BNP was >=50 pg/mL or NT-proBNP was >=125 pg/mL within the first 24 hours (Nguyen 2018: 8 points). Caller-assigned. magent does not assay natriuretic peptides.",
"type": "boolean"
},
"pci_within_24h": {
"description": "Whether PCI occurred within the first 24 hours (Nguyen 2018: false scores 1; true scores 0). Caller-assigned. magent does not read timestamps or the angiogram.",
"type": "boolean"
},
"sbp_lt_100": {
"description": "Whether systolic blood pressure was <100 mm Hg within the first 24 hours (Nguyen 2018: 3 points). Caller-assigned boolean; magent does not take an SBP number.",
"type": "boolean"
},
"sex": {
"description": "female or male (Nguyen 2018 nonmale sex). Female scores 2. Male scores 0. A published sex item, not race.",
"enum": [
"female",
"male"
],
"type": "string"
}
},
"required": [
"age_years",
"sex",
"creatinine_gt_2",
"elevated_bnp",
"diabetes",
"pci_within_24h",
"sbp_lt_100"
],
"type": "object"
},
"maxItems": 25,
"minItems": 1,
"type": "array"
}
},
"required": [
"items"
],
"type": "object"
},
"headers": {
"additionalProperties": {
"type": "string"
},
"type": "object"
},
"method": {
"const": "POST",
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}