Table 4.
Metabolite | Order entered | Model entry P† | Mutually adjusted OR (95 % CI)‡ | Mutually adjusted P‡,† |
---|---|---|---|---|
Liver cancer (n = 221 cases; n = 221 controls) | ||||
Glycocholic acid | 1 | <.001 | 2.80 (1.32 to 5.91) | .007 |
Leu-val | 2 | <.001 | 0.30 (0.15 to 0.61) | <.001 |
Hypoxanthine | 3 | <.001 | 0.32 (0.14 to 0.69) | .004 |
LysoPC(18:2) | 4 | .004 | 0.33 (0.16 to 0.69) | .003 |
LysoPC(15:0) | 5 | .003 | 0.26 (0.11 to 0.65) | .004 |
Liver disease mortality (n = 242 cases; n = 242 controls) | ||||
Glycochenodeoxycholic acid | 1 | <.001 | 4.49 (2.20 to 9.16) | <.001 |
LysoPC(18:2) | 2 | <.001 | 0.28 (0.13 to 0.61) | .001 |
Serotonin | 3 | <.001 | 0.34 (0.19 to 0.62) | <.001 |
Trigonelline | 4 | .005 | 0.37 (0.18 to 0.75) | .006 |
ORs for cases and matched controls are scaled to compare the 90th to the 10th percentile of metabolite values (modeled on a continuous basis) based on the distribution in the controls; letting X90 and X10 denote the 90th percentile and 10th percentile in controls, and β denote the log(OR) from the conditional logistic regression model, the OR is eβ(X90−X10). CI = confidence interval; Leu-val = leucyl-valine; LysoPC = lysophosphatidylcholine; OR = odds ratio.
P value for χ2 test obtained from conditional logistic regression model for a given metabolite (modeled on a continuous basis); all tests were two-sided.
Models adjusted for entry age (years), body mass index (kg/m2), smoking intensity (cigarettes/day), smoking duration (years), alcohol intake (none, <11.6 g/day, ≥11.6 g/day, or missing), self-reported diabetes status (yes or no), education (≤ or > elementary education), run order, and all other metabolites previously in model.