Muruga A Loganathan, Stephen Buerkert, Gabriela Lange Valenga, Graham J Emslie, Sunita M Stewart
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The Quick Inventory of Depressive Symptomatology, Adolescent Version, assessed depressive symptoms at entry and discharge (n <i>=</i> 1,029), and suicidal events postdischarge were tracked (n <i>=</i> 736). Analysis of variance analyzed symptom severity changes, and logistic regression used residual symptoms and controls (age, sex, previous attempt, and nonsuicidal self-injury) to predict suicidal events.</p><p><p><b>Results:</b> Sad mood, view of self, and SI improved the most, while mood and sleep disturbance were most prevalent at discharge. Sleep disturbance (odds ratio [OR] = 2.09, 95% CI, 1.24-3.53, <i>P</i> < .01) and SI (OR = 2.22, 95% CI, 1.26-3.90, <i>P</i> < .01) were the strongest predictors of hospitalization, and, together with anhedonia (OR = 1.40, 95% CI, 1.02-1.93, <i>P</i> < .05), they consistently predicted suicidal events during follow-up.</p><p><p><b>Conclusion:</b> Residual sleep disturbance, SI, and anhedonia after treatment indicated risk post discharge and might inform continuity of care planning. These findings encourage further research about the relationships between specific residual symptoms and suicidal events.</p>","PeriodicalId":50234,"journal":{"name":"Journal of Clinical Psychiatry","volume":"86 3","pages":""},"PeriodicalIF":4.5000,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction of Adolescent Suicidal Events by Residual Depressive Symptoms After Intensive Treatment.\",\"authors\":\"Muruga A Loganathan, Stephen Buerkert, Gabriela Lange Valenga, Graham J Emslie, Sunita M Stewart\",\"doi\":\"10.4088/JCP.24m15462\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Objective:</b> Adolescents with a history of depression are at a high risk of recurrent suicidal ideation (SI) and attempts. To enhance risk prediction, we examined the association of individual residual symptoms of depression to suicidal events (suicide attempts, emergency room visits, and inpatient hospitalization) 6 months after discharge from treatment.</p><p><p><b>Methods:</b> A retrospective post hoc analysis of patients aged 12-18 years examined depression symptoms at admission and discharge. Patients in an intensive treatment program (December 2013-September 2022) received psychosocial and medication management. The Quick Inventory of Depressive Symptomatology, Adolescent Version, assessed depressive symptoms at entry and discharge (n <i>=</i> 1,029), and suicidal events postdischarge were tracked (n <i>=</i> 736). Analysis of variance analyzed symptom severity changes, and logistic regression used residual symptoms and controls (age, sex, previous attempt, and nonsuicidal self-injury) to predict suicidal events.</p><p><p><b>Results:</b> Sad mood, view of self, and SI improved the most, while mood and sleep disturbance were most prevalent at discharge. Sleep disturbance (odds ratio [OR] = 2.09, 95% CI, 1.24-3.53, <i>P</i> < .01) and SI (OR = 2.22, 95% CI, 1.26-3.90, <i>P</i> < .01) were the strongest predictors of hospitalization, and, together with anhedonia (OR = 1.40, 95% CI, 1.02-1.93, <i>P</i> < .05), they consistently predicted suicidal events during follow-up.</p><p><p><b>Conclusion:</b> Residual sleep disturbance, SI, and anhedonia after treatment indicated risk post discharge and might inform continuity of care planning. 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引用次数: 0
摘要
目的:有抑郁史的青少年有较高的复发性自杀意念(SI)和企图的风险。为了加强风险预测,我们在治疗结束后6个月检查了个体抑郁残留症状与自杀事件(自杀企图、急诊室就诊和住院)的关系。方法:回顾性分析12-18岁患者入院和出院时的抑郁症状。在强化治疗项目中(2013年12月- 2022年9月),患者接受了心理社会和药物管理。青少年版抑郁症状快速量表评估了入院和出院时的抑郁症状(n = 1,029),并追踪了出院后的自杀事件(n = 736)。方差分析分析症状严重程度的变化,逻辑回归使用残留症状和对照(年龄、性别、既往尝试和非自杀性自伤)来预测自杀事件。结果:出院时情绪、自我观、SI改善最多,出院时情绪和睡眠障碍最常见。睡眠障碍(比值比[OR] = 2.09, 95% CI, 1.24-3.53, P < 0.01)和睡眠障碍(OR = 2.22, 95% CI, 1.26-3.90, P < 0.01)是住院治疗的最强预测因子,并与享乐缺乏(OR = 1.40, 95% CI, 1.02-1.93, P < 0.05)在随访期间一致预测自杀事件。结论:治疗后残留的睡眠障碍、SI和快感缺乏症提示出院后的风险,可能提示护理计划的连续性。这些发现鼓励进一步研究特定残留症状与自杀事件之间的关系。
Prediction of Adolescent Suicidal Events by Residual Depressive Symptoms After Intensive Treatment.
Objective: Adolescents with a history of depression are at a high risk of recurrent suicidal ideation (SI) and attempts. To enhance risk prediction, we examined the association of individual residual symptoms of depression to suicidal events (suicide attempts, emergency room visits, and inpatient hospitalization) 6 months after discharge from treatment.
Methods: A retrospective post hoc analysis of patients aged 12-18 years examined depression symptoms at admission and discharge. Patients in an intensive treatment program (December 2013-September 2022) received psychosocial and medication management. The Quick Inventory of Depressive Symptomatology, Adolescent Version, assessed depressive symptoms at entry and discharge (n = 1,029), and suicidal events postdischarge were tracked (n = 736). Analysis of variance analyzed symptom severity changes, and logistic regression used residual symptoms and controls (age, sex, previous attempt, and nonsuicidal self-injury) to predict suicidal events.
Results: Sad mood, view of self, and SI improved the most, while mood and sleep disturbance were most prevalent at discharge. Sleep disturbance (odds ratio [OR] = 2.09, 95% CI, 1.24-3.53, P < .01) and SI (OR = 2.22, 95% CI, 1.26-3.90, P < .01) were the strongest predictors of hospitalization, and, together with anhedonia (OR = 1.40, 95% CI, 1.02-1.93, P < .05), they consistently predicted suicidal events during follow-up.
Conclusion: Residual sleep disturbance, SI, and anhedonia after treatment indicated risk post discharge and might inform continuity of care planning. These findings encourage further research about the relationships between specific residual symptoms and suicidal events.
期刊介绍:
For over 75 years, The Journal of Clinical Psychiatry has been a leading source of peer-reviewed articles offering the latest information on mental health topics to psychiatrists and other medical professionals.The Journal of Clinical Psychiatry is the leading psychiatric resource for clinical information and covers disorders including depression, bipolar disorder, schizophrenia, anxiety, addiction, posttraumatic stress disorder, and attention-deficit/hyperactivity disorder while exploring the newest advances in diagnosis and treatment.