TABLE 2.
FA and standard risk factors in predictive models for total mortality after forward selection (P < 0.05)1
Risk factors in model | Model name | FA or standard risk factors (average HR; 95% CI) |
---|---|---|
Age and sex | A + S | Age (1.12; 1.11, 1.14)Female sex (0.66; 0.54, 0.81) |
Age and sex + selected standard risk factors2,3 | Sm + D | Age (1.12; 1.11, 1.14)Female sex (0.69; 0.55, 0.85)Smoking status (1.89; 1.24, 2.88)Prevalent diabetes (1.65; 1.31, 2.07) |
Age and sex + selected FAs2,4 | FA | Age (1.13; 1.11, 1.15)Female sex (0.61; 0.48, 0.77)14:0 (0.85; 0.74, 0.96)16:1n–7 (1.25; 1.11, 1.41)22:0 (0.93; 0.85, 1.01)O3I (0.85 0.79, 0.91) |
Age and sex + selected FA + selected standard risk factors2,3,4 | FA + Sm + D | Age (1.13; 1.11, 1.15)Female sex (0.64; 0.49, 0.82)14:0 (0.84; 0.73, 0.96)16:1n–7 (1.23; 1.09, 1.39)22:0 (0.91; 0.83, 0.99)O3I (0.86; 0.81, 0.92)Current smoker (1.81; 1.14, 2.86)Prevalent diabetes (1.63; 1.24, 2.14) |
Average HRs across 10 validity models (n = 2240). A, age; D, diabetes; FA, fatty acid; O3I, omega-3 index; S, sex; Sm, smoking.
Model adjusted for age and sex.
Of the 6 standard risk factors (smoking status, hypertensive treatment, diabetes status, systolic blood pressure, total cholesterol, and HDL cholesterol), only smoking and prevalent diabetes from Table 1 were selected into the model.
Of the 26 FA metrics tested, only the 4 listed FA metrics [14:0, 16:1n–7, 22:0, and O3I (20:5n–3 + 22:6n–3)] remained as significant predictors. HR is per FA quintile or per presence/absence of Sm and D.