Table 3.
Risk Factor | OR | Q 2.5 | Q 97.5 | Points |
---|---|---|---|---|
Age 40–50 years | 2.26 | 0.52 | 10.05 | 3 |
Age 50–60 years | 7.58 | 2.02 | 28.56 | 8 |
Age > 60 years | 11.88 | 3.27 | 43.13 | 10 |
Colonoscopy (in the previous 5 years) (Yes) | 0.36 | 0.2 | 0.65 | −4 |
Smoking (Yes) | 1.49 | 1.01 | 2.27 | 2 |
IF MAXFIT [> 4–11] | ||||
NSAMPLES> 4 | 1.72 | 1.04 | 2.83 | 2x† |
IF MAXFIT > 11 | ||||
NSAMPLES> 4 | 2.89 | 2.45 | 3.44 | 4x† |
MAXFIT: maximum f-Hb value; NSAMPLES > 4: Number of samples with FIT > 4 μg Hb/g faeces. Discrete variable (0 to 3). Points: Points assigned to each Risk Factor
†Note on 2x/4x: factor to multiply NSAMPLES
How do we interpret the model? Ex: Suppose a 55-year-old man has not smoked or has done a prior colonoscopy and with values of FIT 4, 6 and 10 μg Hb/g faeces. This individual has a MAXFIT value of 10, and 2 samples with FIT > 4 (2 positive samples); therefore its score will be 8 points by age + 2 points per FIT (corresponding to the OR = 1.72) multiplied by 2 positive samples, giving 4 points. Total: 12 points. But if their FIT values were 4, 8, and 12 μg Hb/g faeces, the MAXFIT value of 12 and two positive samples, their score would be 8 points by age + 4 points per FIT (corresponding to the OR = 2.89) multiplied by 2 positive samples, giving 8 points. Total: 16 points