cliot (version 1.0.0)

cambridge_diabetes_risk: Cambridge Diabetes Risk Score

Description

Calculates the Cambridge Diabetes Risk Score to estimate the probability of having undiagnosed Type 2 diabetes. This tool uses non-invasive data including age, sex, BMI, family history, smoking status, and medication history to stratify risk.

Usage

cambridge_diabetes_risk(age, sex, bmi, family_history, smoking_status,
                        rx_steroids_htn)

Value

A list containing:

Cambridge_Risk_Score

The total calculated score.

Interpretation

Risk assessment based on the score threshold (Score >= 14 indicates high risk).

Arguments

age

Numeric. Patient age in years. < 45: 0 points. 45-54: 6 points. 55-64: 11 points. >= 65: 13 points.

sex

String. Patient sex ("Male" or "Female"). (Male adds +1 point).

bmi

Numeric. Body Mass Index (kg/m^2). < 25: 0 points. 25-27.49: 4 points. 27.5-29.99: 9 points. >= 30: 15 points.

family_history

Numeric (0 or 1). History of diabetes in a parent or sibling. (1 = Yes, +5 points).

smoking_status

String. Smoking history. Options: "non": Never smoked (0 points). "past": Ex-smoker (2 points). "current": Current smoker (4 points).

rx_steroids_htn

Numeric (0 or 1). Current use of prescribed steroids or anti-hypertensive medication. (1 = Yes, +2 points).

References

Griffin SJ, Little PS, Hales CN, Kinmonth AL, Wareham NJ. Diabetes risk score: towards earlier detection of type 2 diabetes in general practice. Diabetes Metab Res Rev. 2000;16(3):164-171.

Examples

# Example 1: High Risk
# 60yo Male (+11+1), BMI 31 (+15), FamHx (+5), Ex-Smoker (+2), No Rx
# Score = 12 + 15 + 5 + 2 = 34
cambridge_diabetes_risk(60, "male", 31, 1, "past", 0)

# Example 2: Low Risk
# 40yo Female (0+0), BMI 24 (0), No FamHx, Non-Smoker, No Rx
# Score = 0
cambridge_diabetes_risk(40, "female", 24, 0, "non", 0)