Kocher Score for Septic Arthritis vs Transient Synovitis (Pediatric Hip) 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).
Computes the Kocher 1999 four-predictor clinical decision score for differentiating septic arthritis from transient synovitis in children with irritable hip, returning the published predicted probability of septic arthritis.
Kocher 1999 four predictors for children with irritable hip: history of fever (oral temperature >38.5 C), non-weight-bearing, ESR >=40 mm/h, and serum WBC >12000/uL; 1 point each, max 4. Returns published predicted probability of septic arthritis vs transient synovitis. Deterministic published score with citation; not a diagnosis, not Caird CRP, not adults, and not an aspiration order.
Returns the computed Kocher score (integer 0–4), the published predicted probability of septic arthritis corresponding to that score (from Kocher 1999), and a citation. The result is a deterministic lookup of published data — not a diagnosis, not the Caird CRP-extended score, not applicable to adults, and does not constitute an aspiration order.
GEThttps://api.magentlab.com/api/calc/kocherUse this endpoint when you need the original Kocher 1999 four-predictor score specifically — not the Caird et al. CRP-extended version. It is appropriate only for pediatric patients with irritable hip being evaluated for septic arthritis versus transient synovitis. Prefer this over manual lookup when integrating clinical decision support into an agentic workflow, EHR assistant, or medical education tool. Do not use for adults or as a substitute for clinical judgment or aspiration.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"path": "/api/calc/kocher",
"count": 2,
"items": [
{
"score": 0,
"wbc_ul": 8000,
"formula": "kocher",
"citation": {
"id": "kocher-1999",
"doi": "10.2106/00004623-199912000-00002",
"pmid": "10608376",
"title": "Differentiating between septic arthritis and transient synovitis of the hip in children: an evidence-based clinical prediction algorithm",
"source": "J Bone Joint Surg Am. 1999;81(12):1662-1670",
"authors": "Kocher MS, Zurakowski D, Kasser JR"
},
"esr_mm_h": 20,
"max_score": 4,
"components": [
{
"factor": "history_of_fever",
"points": 0,
"present": false
},
{
"factor": "non_weight_bearing",
"points": 0,
"present": false
},
{
"value": 20,
"factor": "esr_ge_40",
"points": 0,
"present": false
},
{
"value": 8000,
"factor": "wbc_gt_12000",
"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_expression": "Kocher = history_of_fever + non_weight_bearing + (esr_mm_h >= 40) + (wbc_ul > 12000); each 1; max 4; predicted probability 0:<0.2% 1:3.0% 2:40.0% 3:93.1% 4:99.6%",
"predicted_probability": "<0.2%"
},
{
"score": 0,
"wbc_ul": 8000,
"formula": "kocher",
"citation": {
"id": "kocher-1999",
"doi": "10.2106/00004623-199912000-00002",
"pmid": "10608376",
"title": "Differentiating between septic arthritis and transient synovitis of the hip in children: an evidence-based clinical prediction algorithm",
"source": "J Bone Joint Surg Am. 1999;81(12):1662-1670",
"authors": "Kocher MS, Zurakowski D, Kasser JR"
},
"esr_mm_h": 20,
"max_score": 4,
"components": [
{
"factor": "history_of_fever",
"points": 0,
"present": false
},
{
"factor": "non_weight_bearing",
"points": 0,
"present": false
},
{
"value": 20,
"factor": "esr_ge_40",
"points": 0,
"present": false
},
{
"value": 8000,
"factor": "wbc_gt_12000",
"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_expression": "Kocher = history_of_fever + non_weight_bearing + (esr_mm_h >= 40) + (wbc_ul > 12000); each 1; max 4; predicted probability 0:<0.2% 1:3.0% 2:40.0% 3:93.1% 4:99.6%",
"predicted_probability": "<0.2%"
}
]
}
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