Score Risk Calculator

SCORE Risk Equation:

\[ \text{Risk (\%)} = 1 - S0(age)^{\exp(LPI)}; \quad LPI = \sum (\beta \times \text{factors}) \]

Age:

years

Gender:

Smoking Status:

Systolic BP:

mmHg

Total Cholesterol:

mmol/L

10-year CVD Risk:

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1. What is the SCORE Risk Calculator?

The SCORE (Systematic COronary Risk Evaluation) system estimates the 10-year risk of fatal cardiovascular disease (CVD) for individuals in Europe. It helps identify high-risk individuals who may benefit from preventive interventions.

2. How Does the Calculator Work?

The calculator uses the SCORE risk equation:

\[ \text{Risk (\%)} = 1 - S0(age)^{\exp(LPI)}; \quad LPI = \sum (\beta \times \text{factors}) \]

Where:

\( S0(age) \) — Baseline survival at given age
\( LPI \) — Linear predictor index
\( \beta \) — Coefficients for each risk factor
Factors include age, gender, smoking, blood pressure, and cholesterol

Explanation: The equation calculates the probability of dying from CVD within 10 years based on multiple risk factors.

3. Importance of CVD Risk Assessment

Details: SCORE helps guide primary prevention strategies by identifying individuals at high risk of cardiovascular death who may benefit from risk factor modification.

4. Using the Calculator

Tips: Enter accurate values for all risk factors. The calculator is designed for people aged 40-89 without established CVD or diabetes.

5. Frequently Asked Questions (FAQ)

Q1: What is considered high risk in SCORE?
A: ≥5% risk is generally considered high, though thresholds may vary by country.

Q2: Does SCORE predict all cardiovascular events?
A: No, SCORE predicts fatal cardiovascular events only, not non-fatal events.

Q3: Are there different SCORE charts for different regions?
A: Yes, there are high-risk and low-risk country versions due to varying CVD mortality rates.

Q4: Can SCORE be used for people with diabetes?
A: No, people with diabetes are automatically considered high or very high risk.

Q5: How often should risk be reassessed?
A: Every 3-5 years, or when risk factors change significantly.