Biomarker Profiling by Nuclear Magnetic Resonance Spectroscopy for the Prediction of All-Cause Mortality: An Observational Study of 17,345 Persons (original) (raw)
Figure 2
Identification of circulating biomarkers associated with the risk of all-cause mortality in the Estonian Biobank cohort.
Candidate biomarkers were included in a stepwise manner into a multivariate Cox model for all-cause mortality adjusted for sex and using age as the time scale. Each biomarker is plotted against the negative log10 of the corresponding _p_-value. Numbers indicate HR [95% confidence interval] per 1-SD difference. Colors indicate candidate biomarker classes as listed in Table S1. (A) _p_-Values obtained when including each biomarker in turn in the model adjusted for age and sex only. Albumin was the strongest independent predictor of all-cause mortality. (B) _p_-Values for each biomarker adjusted for age, sex, and albumin. (C) _p_-Values for each biomarker adjusted for age, sex, albumin, and alpha-1-acid glycoprotein. (D) _p_-Values for each biomarker adjusted for age, sex, albumin, alpha-1-acid glycoprotein, and VLDL particle size. LDL, low-density lipoprotein.