OBJECTIVE: The interpersonal theory of suicide argues that suicidal ideation predicts self-injury. We hypothesized that distinct patterns of suicidal ideation could be identified and these ratings could allow early identification of self-injury. METHOD: The sample consisted of 562 psychiatric inpatients who reported suicidal ideation. RESULTS: Latent growth class analysis identified five classes of change in suicidal ideation. Patients who displayed prolonged suicidal ideation could be identified with improved sensitivity (89.66%) and negative predictive power (94%), compared to a model based on routine ratings of suicidality at admission (sensitivity = 50%; negative predictive power = 74%). These patients had a fourfold increased risk of self-injury. CONCLUSIONS: Daily measurement of suicidal ideation may identify inpatients at risk and inform clinical decision-making.
OBJECTIVE: The interpersonal theory of suicide argues that suicidal ideation predicts self-injury. We hypothesized that distinct patterns of suicidal ideation could be identified and these ratings could allow early identification of self-injury. METHOD: The sample consisted of 562 psychiatric inpatients who reported suicidal ideation. RESULTS: Latent growth class analysis identified five classes of change in suicidal ideation. Patients who displayed prolonged suicidal ideation could be identified with improved sensitivity (89.66%) and negative predictive power (94%), compared to a model based on routine ratings of suicidality at admission (sensitivity = 50%; negative predictive power = 74%). These patients had a fourfold increased risk of self-injury. CONCLUSIONS: Daily measurement of suicidal ideation may identify inpatients at risk and inform clinical decision-making.
Authors: Michael F Grunebaum; Hanga C Galfalvy; Tse-Hwei Choo; John G Keilp; Vivek K Moitra; Michelle S Parris; Julia E Marver; Ainsley K Burke; Matthew S Milak; M Elizabeth Sublette; Maria A Oquendo; J John Mann Journal: Am J Psychiatry Date: 2017-12-05 Impact factor: 18.112
Authors: Aliona Tsypes; Aleksandra Kaurin; Aidan G C Wright; Michael N Hallquist; Alexandre Y Dombrovski Journal: J Psychiatr Res Date: 2022-01-29 Impact factor: 4.791
Authors: Trine Madsen; Bregje van Spijker; Karen-Inge Karstoft; Merete Nordentoft; Ad Jfm Kerkhof Journal: J Med Internet Res Date: 2016-06-30 Impact factor: 5.428