Warsaw Method Calculator
Combine blood pressure, lipids, glucose, body measurements, and lifestyle factors into a transparent educational health-risk score.
About the Warsaw Method health score
Warsaw Method examples
The examples show how progressively less favorable measurements raise the educational score.
| Profile | Score range | Interpretation |
|---|---|---|
| Age 35, BP 120/80, favorable lipids, glucose 85, BMI 24 | 1 point — Low risk | Most values are at or better than the model references. |
| Age 45, BP 135/85, total cholesterol 220, HDL 45, BMI 27 | About 19 points — Moderate risk | Several moderately elevated factors contribute together. |
| Age 55, BP 150/95, total cholesterol 250, HDL 35, BMI 32 | 53 points — High risk | Multiple biomarker and body-measurement factors are substantially elevated. |
| Age 70, BP 140/80, total cholesterol 200, HDL 50, BMI 26 | About 17 points — Moderate risk | Age and systolic pressure account for much of the score. |
How to use the Warsaw Method calculator
- Enter age, recent blood pressure readings, and laboratory lipid and fasting glucose values.
- Enter waist circumference and body mass index using current, consistently measured data.
- Choose gender, smoking status, diabetes status, family history, and activity level.
- Select Calculate Health Score and review both the category and the factors that influenced it.
- Discuss concerning measurements or risk factors with a qualified healthcare professional.
Warsaw Method FAQ
Is the Warsaw Method a validated medical risk calculator?
This implementation is an educational composite and is not a validated clinical prediction rule. It should not guide diagnosis, medication, or treatment decisions.
Does the score equal my percentage risk of heart disease?
No. Points classify the inputs within this model and are not an absolute event probability. A clinician can use validated tools appropriate to age, location, and medical history.
Why are so many measurements included?
Cardiometabolic health reflects several interacting factors rather than one number. Combining them can highlight clusters of risk while still requiring individual interpretation.
Should I use fasting or nonfasting laboratory results?
The glucose field specifically expects a fasting result, while lipid interpretation can depend on the clinical context. Use values from the same report when possible and confirm units before entry.
What should I do with a high result?
Arrange a professional assessment rather than attempting to treat the score itself. A clinician can confirm measurements, evaluate total risk, and recommend evidence-based next steps.