ToolAssay

Moledina 2022 development-model logistic probability of biopsy-proven acute inte

Moledina 2022 development-model logistic probability of biopsy-proven acute interstitial nephritis from serum creatinine, BUN:creatinine ratio, urine dipstick specific gravity, and dipstick protein (0 or 1+ versus 2+ or higher, caller-assigned). Returns logit and estimated_probability_percent. Not a medical device, not a diagnosis, and not a kidney biopsy. Does not include urine IL-9 or TNF-α. Moledina 2022 publishes no named low/high cutoff.

Not tested: has real-world effectsour last check, 2026-09-28
0 of 0checks answered this week
n/amedian answer time
$0.005listed price per call
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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/ain_risk

CategoryEverything else
Provider hostapi.magentlab.com
Networkseip155:8453
Payment schemesexact
Self-reported calls, 30 days0 from 0 payers (the provider's figure, not ours)

Our checks, last 30 days

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Example input (from the provider)

{
  "body": {
    "items": [
      {
        "bun_cr_ratio": 15,
        "creatinine_mg_dl": 2.1,
        "protein": "le_1",
        "specific_gravity": 1.015
      },
      {
        "bun_cr_ratio": 15,
        "creatinine_mg_dl": 2.1,
        "protein": "le_1",
        "specific_gravity": 1.015
      }
    ]
  },
  "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": {
                  "bun_cr_ratio": {
                    "description": "BUN:creatinine ratio (mg/dL : mg/dL, 0.5-200) as computed by the caller. Moledina 2022 Table 4: -0.9181938 per natural log. magent does not compute BUN from other labs.",
                    "type": "number"
                  },
                  "creatinine_mg_dl": {
                    "description": "Serum creatinine in mg/dL (0.1-20). Moledina 2022 Table 4: +0.8367518 per natural log. \u00b5mol/L is not accepted on this tool. magent does not assay creatinine.",
                    "type": "number"
                  },
                  "protein": {
                    "description": "Moledina 2022 dipstick protein category as assigned by the caller: le_1 (0 or 1+, +0.9360127) or ge_2 (2+ or higher, reference, 0). magent does not interpret the dipstick.",
                    "enum": [
                      "le_1",
                      "ge_2"
                    ],
                    "type": "string"
                  },
                  "specific_gravity": {
                    "description": "Urine dipstick specific gravity (1.000-1.050) as assigned by the caller, e.g. 1.015. Moledina 2022 Table 4: -0.0501203 per 0.001 unit. magent does not read the dipstick.",
                    "type": "number"
                  }
                },
                "required": [
                  "creatinine_mg_dl",
                  "bun_cr_ratio",
                  "specific_gravity",
                  "protein"
                ],
                "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"
}

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