FIG. 2.

Receiver operating characteristic curves for 6 month Glasgow Outcome Scale (GOS). Graph of receiver operating characteristic (ROC) curves for different multivariable models used to predict 6 month GOS score. The multivariable model without any single nucleotide polymorphism (SNP) information (red) provides excellent discrimination with an area under the curve (AUC) of 0.8069. The basic multivariable model (light green, containing TRPM4 rs8104571, age, sex, and initial Glasgow Coma Scale [GCS] score) had an AUC of 0.8165. Expanded model-1 (dark green, containing transient-receptor-potential cation channel subfamily-M [TRPM4] rs8104571, age, sex, initial GCS, pattern of primary injury, computed tomographic [CT] characteristics of edema, and proportion of intracranial hypertension >25 mm Hg) had an AUC of 0.8565. Expanded model-2 (turquoise, containing TRPM4 rs8104571, age, sex, initial GCS, pattern of primary injury, distinct CT characteristics of edema [separated into individual components of sulcal effacement, cistern effacement, ventricular compression, midline shift, and herniation], and proportion of intracranial hypertension >25 mm Hg) had an AUC of 0.8558. Addition of ABCC8 SNPs (rs2237982, rs2283261, and rs11024286 that statistically significantly interacted with TRPM4 rs8104571 in this cohort) to expanded model-1 (blue) further improved the AUC to 0.8738. These AUCs were significantly different from one another (p = 0.011).