Figure 5

Predicting suicidality using a broad-spectrum predictor (UP-Suicide), which is an algorithm combining phenotypic information measures (Convergent Functional Information for Suicide (CFI-S) and Simplified Affective State Scale (SASS) (anxiety and mood)) and a panel of the Top Dozen universal biomarkers (BioM 12). (a) Model of various factors involved in suicidality (environmental stressors, life failures, body health issues, mind frailty, addiction problems and cultural examples). CFI-S, SASS and Biomarker panel are the components of our UP-Suicide. SA, suicide attempt; SI, suicidal ideation. (b) UP-Suicide predictions in the independent testing cohort, for High SI and for future hospitalizations for suicidality in the first year. (c) A dimensional view of risk stratification using phenotypic information measures and example of two high-risk participants. We calculated Euclidian distances from origin. Participant phchp158 is a divorced African American male in his late 20s with a long history of schizoaffective disorder, bipolar type and cannabis abuse. He was tested by us once (v1), while he was hospitalized for a suicide attempt by hanging. In the 5 years following testing, he has had two additional hospitalizations for suicidality: one for SI and one for attempt by overdose. He has had two hospitalizations for psychosis exacerbation without suicidality during this time span as well. Moved out of state, lost to follow-up since December 2015. Participant phchp328 was a divorced Caucasian female in her late 30s with a long history of depression, post-traumatic stress disorder (PTSD), borderline personality disorder and polysubstance abuse/dependence. She was first tested by us (v1) while inpatient for SI. Over the next year she subsequently had six psychiatric hospitalizations for suicidality: five due to SI and one due to a suicidal attempt by overdose. She also had one hospitalization for opioid withdrawal and depression during this time span as well. She committed suicide by overdose with pills, leaving behind a suicide note addressed to her mother. Her UP-Suicide score at Visit 1, composed of the panel of top dozen biomarkers (BioM12) scores and phenomic measures scores (CFI-S and SASS), was at the 100% of the scores of all the psychiatric participants visits in the current study. That testing was conducted during an inpatient hospitalization due to SI. Although her scores did improve at subsequent outpatient testing visits (Visits 2 and 3), this high watermark score indicated her high risk. After the last testing visit in our study, she had four subsequent psychiatric hospitalizations: three due to SI and one for opioid withdrawal/detox (the last one, which ended 2 weeks before the date of her committing suicide (T)).

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