Skip to main content
. Author manuscript; available in PMC: 2014 Jul 7.
Published in final edited form as: Am J Kidney Dis. 2008 Feb;51(2):212–223. doi: 10.1053/j.ajkd.2007.10.035

Figure 1.

Figure 1

The relationship between serum albumin and study outcomes in fully adjusted models. All models are adjusted for age, sex, race, study, prior cardiovascular disease, diabetes, smoking, systolic blood pressure, LVH and eGFR. Plots are generated using restricted cubic splines with 4 knots generated in S-Plus. Hatch marks represent the relative proportion of individuals at a given albumin level. Overall effect indicates whether albumin is a statistically significant risk factor for the outcome, while the linearity test indicates if the relationship between albumin and the outcome is linear; for composite and mortality outcomes (p<0.001), the relationship is non-linear, while there is a trend toward non-linearity for the cardiac outcome.