0891 Nightmares Predict Cross-Sectional Risk For Suicidal Ideation, But Not Perceived Stigma In A High-Risk Sample Of U.S. Military Veterans

Hilberg, Amanda M.; Murphy, Lauren; Pham, Savannah; Bernert, Rebecca A.

doi:10.1093/sleep/zsz067.889

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“…This shows that the relationship between sleep and suicide is more complicated than previously thought ( 48 , 64 ). However, Hilberg et al identified sleep as a highly modifiable therapeutic target that can be used to target Veteran suicide prevention ( 65 ). This illustrates that even with the limited research in this topic, tracking sleep biomarkers shows great promise in potentially improving screening for Veteran suicide risk and subsequently aiding in the intervention of suicidal ideation.…”

Section: Discussionmentioning

confidence: 99%

Utilizing digital predictive biomarkers to identify Veteran suicide risk

Holmgren

Morrow²,

Coffee³

et al. 2022

Front. Digit. Health

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Veteran suicide is one of the most complex and pressing health issues in the United States. According to the 2020 National Veteran Suicide Prevention Annual Report, since 2018 an average of 17.2 Veterans died by suicide each day. Veteran suicide risk screening is currently limited to suicide hotlines, patient reporting, patient visits, and family or friend reporting. As a result of these limitations, innovative approaches in suicide screening are increasingly garnering attention. An essential feature of these innovative methods includes better incorporation of risk factors that might indicate higher risk for tracking suicidal ideation based on personal behavior. Digital technologies create a means through which measuring these risk factors more reliably, with higher fidelity, and more frequently throughout daily life is possible, with the capacity to identify potentially telling behavior patterns. In this review, digital predictive biomarkers are discussed as they pertain to suicide risk, such as sleep vital signs, sleep disturbance, sleep quality, and speech pattern recognition. Various digital predictive biomarkers are reviewed and evaluated as well as their potential utility in predicting and diagnosing Veteran suicidal ideation in real time. In the future, these digital biomarkers could be combined to generate further suicide screening for diagnosis and severity assessments, allowing healthcare providers and healthcare teams to intervene more optimally.

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Section: Discussionmentioning

confidence: 99%