通过对伴随性疾病调整的风险建模,识别未诊断的高风险自杀倾向病例
Louisa Bode1,2, Rena Xu1,3, Matthew Garber1
1Computational Health Informatics Program, Boston Children's Hospital.
medRxiv : the preprint server for health sciences
|August 8, 2025
概括
儿童自杀倾向的报道不足. 这项研究使用了ICD-10代码来识别精神疾病并发症,并发现倾向性得分匹配对识别有风险的年轻人有效.
科学领域:
- 儿科急救医学 儿科急救医学
- 心理健康研究 心理健康研究
- 医疗信息学 医疗信息学
背景情况:
- 儿童自杀倾向是一个关键的公共卫生问题,未得到充分报道,并对干预提出了挑战.
- 识别有风险的儿科人口对于有效的预防和资源分配至关重要.
- 了解与自杀倾向相关的并发症有助于早期检测和有针对性的支持.
研究的目的:
- 确定与儿科自杀相关的精神健康并发症的流行率.
- 利用倾向分数匹配来识别未被诊断的高风险儿科自杀病例.
- 为了提高识别有自杀念头,自我伤害或自杀企图的年轻人的准确性.
主要方法:
- 分析ICD-10诊断代码的儿童患者 (6-18岁) 在急诊室设置.
- 定义了自杀倾向病例,包括思想,自我伤害和尝试亚型.
- 雇员倾向得分匹配,将被诊断的自杀倾向队列与未被诊断的有风险的个人联系起来.
主要成果:
- 2.9%的急诊室遇到的人符合自杀倾向病例的定义.
- 确定了55种显著的并发症,其中许多与当前的诊断代码不一致.
- 自杀性诊断的高概率与人格障碍,性别失调,双相情感障碍,抑郁症和精神分裂症谱系障碍有关.
- 倾向匹配正确识别了53.4%的真正积极的自杀倾向病例.
结论:
- 倾向性得分匹配有效地识别未被诊断的儿科自杀病例.
- 匹配病例的并发症概况与诊断自杀倾向的病例非常相似.
- 这种方法提供了一个有价值的工具,可以提高对处于危险的年轻人的识别和支持.
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