Figure 6
From: Precision medicine for suicidality: from universality to subtypes and personalization
UP-Suicide across all, by subtypes and personalized by gender/diagnosis. UP-Suicide composed of the panel of the Top Dozen universal biomarkers (BioM 12), Convergent Functional Information for Suicide (CFI-S) and Simplified Affective State Scale (SASS) (anxiety and mood). Plot depicts area under the curve (AUC) for the UP-Suicide predicting suicidal ideation (SI) and hospitalizations within the first year in all participants, as well as separately in subtypes, and by gender and diagnosis (Gender/Dx). Two asterisks indicate the comparison survived Bonferroni correction for all the multiple comparisons depicted. A single asterisk indicates nominal significance of P<0.05. Bold outline indicates that the UP-Suicide was synergistic to its components, that is, performed better than the gene expression biomarkers or phenomic measures individually. Table contains descriptive statistics for all participants together, as well as separately by subtypes and by gender/dx. For female gender/dx groups, only the female bipolar subgroup had enough participants to yield at least a nominally significant AUC. Bold indicates the measure survived very stringent Bonferroni correction for all the multiple comparisons in our whole study (2737 biomarkers and phenes, resulting in a Bonferroni cutoff of 1.83E−05). We also show Pearson’s correlation data in the SI test cohort for HAMD-SI vs UP-Suicide, as well as Pearson’s correlation data in the hospitalization test cohort for frequency of hospitalizations for suicidality in the first year and for frequency of hospitalizations for suicidality in all future available follow-up interval (which varies among participants, from 0.40 to 10.42 years).
