Header
- Model name
- Kidney Stress
- Developer
- Zenlo LLC
- Release stage
- Research Tool (not FDA-cleared)
- Version
- 1.0
- Availability
- United States
- Regulatory status
- Not applicable — academic and transparency positioning
- Pattern slug
- kidney_stress
- Biomarkers
- CREAT, BUN, EGFR
This document follows the CHAI Applied Model Card format (v0.1).
Summary
The Kidney Stress pattern flags creatinine elevation, blood urea nitrogen abnormalities, and reduced estimated glomerular filtration rate in adult laboratory panels, signaling potential renal impairment for physician review. Deterministic rules compare creatinine, BUN, and eGFR against registry reference thresholds. Claude Haiku 4.5 synthesizes narrative context on which renal indices are abnormal. Intended for licensed functional-medicine physicians as supportive clinical decision support, the pattern does not stage chronic kidney disease, assess proteinuria, or guide medication dosing. It highlights laboratory renal signals requiring correlation with hydration status, medications, blood pressure, and urinalysis — not a standalone nephrology diagnosis.
Uses & Directions
Intended use
Clinical decision support for licensed physicians reviewing renal function markers in adult panels.
Primary users
Licensed functional medicine physicians and similarly qualified clinicians.
How to use
Review flagged renal labs with blood pressure, urinalysis, medications, and repeat testing as indicated.
Target population
Adults aged 18 and older in the United States.
Out of scope
- Direct patient use without physician oversight
- Pediatric renal evaluation
- Standalone CKD staging or dialysis planning
- Acute kidney injury management in critical care
Warnings
Clinical risk level
Low — supportive tool; the treating physician retains full clinical judgment and responsibility.
Known limitations
- eGFR estimating equations have known limitations in extremes of muscle mass and age.
- Does not incorporate urine albumin-to-creatinine ratio or urinalysis.
- Single creatinine elevation may reflect hydration rather than chronic disease.
Validation note
Validation pending — a Tier A NHANES validation run has not yet been completed for this pattern. Distribution, agreement, and fairness results will be published here when available.
Trust Ingredients
AI system facts
- Deterministic pattern detector (kidney_stress) plus Claude Haiku 4.5 for narrative synthesis
- Primary inputs: Creatinine, BUN, and eGFR from structured laboratory extraction.
- Output: Pattern flag plus narrative on renal function marker abnormalities.
Security & compliance
- Anthropic Business Associate Agreement with zero-data-retention configuration
- HIPAA-aligned design; no patient data used for model training
Ongoing maintenance
Versioned, transparent, and reproducible via a public independent audit harness (see Resources).
Transparency
Self-funded development; no third-party sponsor for this pattern card.
Key Metrics
Usefulness / Efficacy
Zenlo's detection approach was benchmarked across five models in a separate study; see the medRxiv preprint in Resources. No per-pattern efficacy metric is published for this pattern.
Source: 5-model benchmark, medRxiv MEDRXIV/2026/346284
Fairness / Equity
Validation pending — a Tier A NHANES validation run has not yet been completed for this pattern. Distribution, agreement, and fairness results will be published here when available.
Safety / Reliability
- Supportive-only; not intended as a standalone diagnostic
- Physician authorization required before clinical use
- Deterministic detector is reproducible for inputs: CREAT, BUN, EGFR
Resources
- medRxiv preprint MEDRXIV/2026/346284 — 5-model benchmark (system-level detector evaluation)
- JAMIA Open submission JAMIO-2026-0120 (under review)
- Independent audit harness: github.com/dimashibakov/zenlo-audit — reproducibility manifest, NHANES 2015–2016 cycle, harness commit c10afe8
Footer
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