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Nunn & Gregg 1989 Predicted Peak Expiratory Flow Calculator
x402
Nunn & Gregg 1989 Predicted Peak Expiratory Flow Calculator 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).
Calculates predicted adult peak expiratory flow (L/min) using the Nunn and Gregg 1989 sex-specific logarithmic regression from age, sex, and height
Price / call$0.005
Success—
StatusUnknown
How this service works
Nunn and Gregg 1989 predicted adult peak expiratory flow (L/min) from age, sex, and height. Sex-specific ln(PEF) regressions as published. Deterministic published arithmetic with citation; not a personal-best or action-plan zone.
Output
Returns the predicted peak expiratory flow in L/min computed from the sex-specific ln(PEF) regression published by Nunn and Gregg in 1989, given the patient's age and height. This is a reference/normative value, not a personal-best or action-plan zone.
Example use cases
Asthma baseline reference PEF
“What is the predicted normal peak expiratory flow for a 32-year-old female who is 165 cm tall? I need the Nunn and Gregg 1989 reference value to set her personal best baseline.”
Spirometry percent-predicted calculation
“My patient is a 58-year-old male, 180 cm tall, and his measured PEF is 480 L/min. Can you calculate his predicted PEF using the 1989 Nunn and Gregg formula so I can work out his percent predicted?”
Occupational health PEF screening
“I have a 67-year-old female worker, height 5 feet 4 inches — what does the Nunn and Gregg 1989 regression predict her peak flow should be?”
Technical details
Endpoint
GEThttps://api.magentlab.com/api/calc/peak_expiratory_flowWhen to prefer
Use this endpoint when you need the published Nunn and Gregg 1989 normative PEF reference value for an adult patient given age, sex, and height — particularly for spirometry interpretation, percent-predicted calculations, or occupational/research contexts requiring a specific cited regression. It is deterministic and citable. Do not use it for personal-best PEF targets, action-plan zone thresholds, or pediatric patients.
Side effects
- Age outside the supported adult range (15–85 years) returns an error or out-of-range response
- Height outside 50–250 cm (or 20–98 in) may be rejected as invalid
- Missing required parameters (age or sex) returns a validation error
- Invalid sex value (anything other than 'male' or 'female') returns an error
- Neither height_cm nor height_in provided may cause a missing-parameter error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"path": "/api/calc/peak_expiratory_flow",
"count": 2,
"items": [
{
"sex": "male",
"formula": "nunn_gregg_1989",
"citation": {
"id": "nunn-gregg-1989",
"doi": "10.1136/bmj.298.6680.1068",
"title": "New regression equations for predicting peak expiratory flow in adults",
"source": "BMJ. 1989;298(6680):1068-1070",
"authors": "Nunn AJ, Gregg I"
},
"age_years": 40,
"height_cm": 175,
"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": "ln(PEF_l_min) = a*ln(age) + b*age + c/height_cm + d; male a=0.544 b=-0.0151 c=-74.7 d=5.48; female a=0.376 b=-0.0120 c=-58.8 d=5.63",
"predicted_pef_l_min": 636
},
{
"sex": "male",
"formula": "nunn_gregg_1989",
"citation": {
"id": "nunn-gregg-1989",
"doi": "10.1136/bmj.298.6680.1068",
"title": "New regression equations for predicting peak expiratory flow in adults",
"source": "BMJ. 1989;298(6680):1068-1070",
"authors": "Nunn AJ, Gregg I"
},
"age_years": 40,
"height_cm": 175,
"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": "ln(PEF_l_min) = a*ln(age) + b*age + c/height_cm + d; male a=0.544 b=-0.0151 c=-74.7 d=5.48; female a=0.376 b=-0.0120 c=-58.8 d=5.63",
"predicted_pef_l_min": 636
}
]
}
}Tags
x402
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