The Effect of Including C-Reactive Protein in Cardiovascular Risk Prediction Models for Women

View larger version (16K): [in a new window]   Figure 1. Relative risk (RR) of future cardiovascular events according to baseline high-sensitivity C-reactive protein (hsCRP) levels in the model derivation cohort (n= 15 048), adjusted for Framingham covariables. Risk estimates are provided on a natural log scale and were derived from a Cox regression model using a flexible spline curve. Dotted lines represent 95% CIs.

View larger version (20K): [in a new window]   Figure 2. Cardiovascular point scoring system for women based on Framingham covariables and high-sensitivity C-reactive protein (hsCRP). This scoring system is intended as an illustration only. CVD = cardiovascular disease; HDL = high-density lipoprotein; RR = relative risk; SBP = systolic blood pressure. To convert cholesterol values to mmol/L, multiply by 0.02586.

View larger version (27K): [in a new window]   Figure 3. Calibration curves for risk prediction models without (top) and with (bottom) high-sensitivity C-reactive protein (hsCRP) in the model. The model that includes hsCRP shows closer agreement between observed and model-based predicted risk. WHS = Women's Health Study.

View this table: [in a new window]   Appendix Table. Comparison of Discrimination and Calibration for Global Risk Prediction Models with and without High-Sensitivity C-Reactive Protein