Detecting Risk of Suicide in a Pediatric Emergency Department
AdolescentsMental Disorder Diagnosed in Childhood1 moreObjective: The ultimate goal of this project is to enhance the capacity of non-mental health clinicians working in an Emergency Departments (ED) to recognize and initiate further evaluation of children and adolescents at risk for suicide. Aim 1: To re-validate the Risk of Suicide Questionnaire (RSQ), a screening tool that assists non-psychiatric clinicians in rapidly detecting suicide risk in pediatric patients, in a pediatric ED mental health population in the Children s National Medical Center (CNMC) ED. Aim 2: To determine the utility of a suicide screening tool, a revised version of the Risk of Suicide Questionnaire, to detect suicide risk in pediatric patients presenting to the CNMC ED for non-mental health reasons. Study population: The study population includes all patients admitted to the CNMC Emergency Department, ages 10 to 21, during the data collection weeks of the study period. Both patients admitted for mental health and non-mental health reasons will be included in the study. Design: This will be a prospective instrument development /validation study. During a designated study week, all mental health patients and a random subset of non-mental health patients admitted to the CNMC ED will be approached after their triage assessment. Following informed consent and assent, a 17-item suicide assessment tool created for this research project (RSQ-Revised), as well as a brief background questionnaire will be administered. These questions will be validated against a gold standard suicide assessment questionnaire, which will be administered to the subjects directly after the RSQ-Revised. The study aims to develop a brief suicide screening tool to be used at triage for all patients entering the ED. Measures Measures include the proposed 17-item screening questionnaire and a gold standard assessment of suicidal ideation in adolescents, the Suicide Ideation Questionnaire (SIQ).
Clinical and Suicidal Features of Urban, Turkish Middle Age Depressive Patients With Comorbid ADHD...
Depressive DisorderMajor2 moreIn the presence of attention deficit hyperactivity disorder (ADHD) together with additional psychiatric diseases, the treatment process and prognosis of both ADHD and psychiatric comorbidity are adversely affected. The aim of this study is to compare the characteristics concerning the suicidal behavior of the patients with major depressive disorder (MDD) who have (ADHD+) or do not have (ADHD-) adult ADHD comorbidity and their responses to depression treatment. 96 inpatients were included in the study. Socio-demographic data form, Hamilton Depression Scale (HDRS), Wender Utah Rating Scale (WURS), Adult ADD/ADHD DSM IV- Based Diagnostic Screening and Rating Scale (A-ADHD), Personal and Social Performance Scale (PSP) were applied to the cases. In the study, depression starts at an early age in individuals with comorbid ADHD and the depression treatment progress changes negatively. This group of patients is at greater risk in terms of suicidal behavior. For these reasons, clinicians should be careful during ADHD and depression management in adults.
Obsessions and Suicidality in Youth With Bipolar 1 Disorder
ObsessionsSuicide2 moreObsessive-compulsive disorder (OCD) is a common co-morbidity with bipolar I disorder, a comorbidity that is known to increase suicide risk. This study aimed to assess the presence of OCD in youth diagnosed with bipolar I disorder & to evaluate the association between OCD and suicide in the same cohort. Eighty subjects diagnosed with bipolar I disorder were enrolled in this study, subjects were divided according to the presence or absence of OCD to Group A: Bipolar disorder patients with OCD (n = 26), Group B: Bipolar disorder patients without OCD (n = 54). The following scales were applied: Dimensional Yale-Brown obsessive compulsive scale (DYBOCS)- Beck scale for Suicidal ideations (BSSI) - Hamilton depression rating scale (HDRS) and Young mania rating scale (YMRS). The results revealed that DYBOCS score of group A was 30.23±0.43, & of group B was 18.50±1.88 with a significant difference (p<0.01). There was a significantpositive correlation between BSSI and age, age of onset and YMRS in Group A (p<0.01). The study demonstrated that OCD is a common comorbidity in youth with bipolar I disorder and may be associated with a greater risk of suicide than in youth with bipolar I disorder without co-morbid OCD. Furthermore, co-morbidity of OCD with bipolar I disorder in youth may be associated with younger age of onset and more severe symptoms profile.
Cognitive Inhibition, Psychosocial Interactions and Suicide Attempt in Elderly
SuicideThe study aims to determine the correlation between the cognitive inhibition impairment and the history of suicide attempt in elderly depressed patients.
The 10-years REPEATERS Cohort of French Adolescents
Suicide AttemptLosing contact with adult suicide attempters in the year after the suicide attempt (SA) increases the risk of recurrence. The situation with adolescents is unknown. Investigators aimed to determine whether being lost to contact early (LCE) by clinicians is a risk factor of longterm SA recurrence among adolescents and the associated factors.
Executive Dysfunction & Suicide: An Exploration Of Risk Factors In Traumatically Brain Injured Veterans...
Traumatic Brain Injury (TBI)Suicidal BehaviorThis is a study to learn more about traumatic brain injury (TBI) and suicidal behaviors. The purpose of this research is to find out more about the issues related to these conditions. This study seeks to explore the relationship between executive dysfunction and suicidal behavior in an outpatient population.
A Study on Improving Detection and Management of Suicide Risk Among Depressed Patients in Primary...
DepressionSuicideimprove detection and management of suicide risk among depressed patients in primary care
Cognitive Aspects of Adolescent Suicide
SuicideAttemptedThe purpose of this project is to pilot a new scale, The Desperation Scale, in a sample of young adolescents (aged 10-16) seen in the pediatric emergency room who require a psychiatric consultation. The proposed study is designed to assess the psychometric properties of this new scale and to provide information about the cognitive state of young suicidal individuals. It is hypothesized that this scale will be able to discriminate between those who are suicidal and those who are not. Data obtained in this pilot study will provide information about the usefulness of the construct of desperation and will guide future projects aimed at the assessment and treatment of suicidal individuals. The use of cognitive factors to predict suicidal behavior is appealing because they allow the clinician to tap into an individual's perception of his/her life circumstances. However, we believe the popular conceptualization of suicide as a result of "hopeless" thinking ignores an important aspect of suicidal behavior-the motivation to escape. We propose that a model of suicidal behavior that includes escape motivation, which we call the desperation model, will be better able to predict suicide than existing measures. We conceptualize desperation as consisting of three core elements: a sense of entrapment, feelings of anxiety/agitation, and a sense of time urgency. The current pilot study will test a 35-item scale that assesses these three elements of desperation. A pilot study of the Desperation Scale is currently being conducted at the Cornell University Medical Center (P.I. P.M. Marzuk) with depressed, adult inpatients. Our study is original in its use of the scale with an adolescent population and its focus on patients in the emergency room, when they are presumably in a "purer" suicidal state. It is hypothesized that those who are admitted to the emergency room for recent suicidal behavior will endorse feelings of entrapment, anxiety, and time urgency.
Emotional Prosody Recognition and Decision Making Inf fMRI and Vulnerability to Suicide
SuicideSuicide is known to be frequent in depression, and in most of the psychiatric diseases. But as it can occur in patients with no psychiatric illness and doesn't occur in every patients with psychiatric illness, it has to be considered henceforth as a specific vulnerability. This trial will study two fMRI paradigms, emotional prosody recognition and decision making, in order to characterize emotional and cognitive trait factors in a population of patients vulnerable to suicide. Four different groups will be constituted : depressed suicide attempters, depressed patients with past history of suicidal acts, depressed patients with no history of suicidal acts and healthy controls. The main goal will be to correlate fMRI activation during the two paradigms in subjects vulnerable to suicide. The secondary goals will be to characterize emotional and cognitive trait factors in these subjects, to demonstrate that those characteristics are independent from depression and to correlate these trait factors with socio-demographic and clinical features with fMRI activations.
In-Home Sleep Monitoring to Detect Suicide Risk in Veterans
Suicidal IdeationSleep DisturbanceThis research will assess the ability of nightly objective sleep scheduling and sleep heart rate data to predict variation in suicidal ideation in U.S. military veterans identified as high-risk according to actuarial and/or clinical indicators. These data will be recorded using one of two low-cost, commercial, zero-burden, mattress actigraphic systems that enable remote, centralized, data access. Participants will be veterans accrued both from the REACH VET and local high-risk lists, a process involving collaboration with the Suicide Prevention Coordinator at the VA Palo Alto HCS. In order to minimize burden, participants will be screened by telephone, consented by mail and telephone, administered a brief admission psychometric interview by telephone, and mailed a sleep sensor system and instructions for its installation in their home. Once sleep data collection has commenced, a trained interviewer will contact the participant by telephone weekly and administer the Columbia-Suicide Severity Rating Scale. Data collection will continue for three months. The study targets a sample of 40 veterans. Longitudinal mixed effects modeling will be employed to determine whether changes in sleep scheduling and sleep heart rate predict changes in suicidal ideation.