Cox regression analysis, including mutational status grouped as DTA mutation and “other mutation,” sex, age, and tobacco consumption
Variable . | HR . | 95% CI . | P . |
---|---|---|---|
A. | |||
Only DTA mutation | 1.21 | 1.01-1.45 | .035 |
Other mutation | 1.01 | 0.65-1.55 | .981 |
Age, y | 1.11 | 1.08-1.13 | <.001 |
Sex (male) | 1.15 | 0.91-1.46 | .233 |
Smoking (1st tertile) | 1.03 | 0.82-1.30 | .772 |
Smoking (2nd tertile) | 1.22 | 0.96-1.55 | .108 |
Smoking (3rd tertile) | 1.72 | 1.26-2.36 | .001 |
B. | |||
Only DTA mutation | 1.18 | 0.98-1.41 | .077 |
Other mutation | 0.97 | 0.63-1.50 | .899 |
Sex (male) | 1.15 | 0.91-1.44 | .247 |
Smoking (1st tertile) | 1.04 | 0.83-1.31 | .715 |
Smoking (2nd tertile) | 1.25 | 0.99-1.58 | .060 |
Smoking (3rd tertile) | 1.75 | 1.28-2.38 | <.001 |
Variable . | HR . | 95% CI . | P . |
---|---|---|---|
A. | |||
Only DTA mutation | 1.21 | 1.01-1.45 | .035 |
Other mutation | 1.01 | 0.65-1.55 | .981 |
Age, y | 1.11 | 1.08-1.13 | <.001 |
Sex (male) | 1.15 | 0.91-1.46 | .233 |
Smoking (1st tertile) | 1.03 | 0.82-1.30 | .772 |
Smoking (2nd tertile) | 1.22 | 0.96-1.55 | .108 |
Smoking (3rd tertile) | 1.72 | 1.26-2.36 | .001 |
B. | |||
Only DTA mutation | 1.18 | 0.98-1.41 | .077 |
Other mutation | 0.97 | 0.63-1.50 | .899 |
Sex (male) | 1.15 | 0.91-1.44 | .247 |
Smoking (1st tertile) | 1.04 | 0.83-1.31 | .715 |
Smoking (2nd tertile) | 1.25 | 0.99-1.58 | .060 |
Smoking (3rd tertile) | 1.75 | 1.28-2.38 | <.001 |
In part A, time since blood sample is used as the underlying time scale, whereas age is used as the underlying the time scale in part B. When we divided the mutations into DTA and “other mutations,” defined as non-DTA mutations, but with or without cooccurring DTA mutations, we found a significant association of DTA mutations after adjusting for age, sex, and tobacco consumption. This association was retained as a borderline significant association when we used age as the underlying time scale in the Cox regression.