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通过合并症调整风险模型识别未诊断的高风险自杀倾向病例。

Identifying undiagnosed high-risk suicidality cases through comorbidity-adjusted risk modeling.

作者信息

Bode Louisa, Xu Rena, Garber Matthew, Mandl Kenneth D, McMurry Andrew J

机构信息

Computational Health Informatics Program, Boston Children's Hospital.

Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany.

出版信息

medRxiv. 2025 Jul 23:2025.07.22.25331824. doi: 10.1101/2025.07.22.25331824.

Abstract

BACKGROUND

Suicide is the second leading cause of death for patients aged 10 to 26 years old. Pediatric suicidality is underreported, which poses significant challenges for effective intervention and prevention strategies. Identifying populations at risk for suicidality can provide critical benefits in terms of study cohort selection, prevalence estimation and resource allocation.

OBJECTIVE

(1) Measure prevalence of mental health comorbidities associated with suicidality; (2) propensity match diagnosed suicidality cohorts to select high-risk undiagnosed suicidality cohorts.

METHODS

ICD-10 diagnosis codes were analyzed for patients aged 6-18 years old presenting to the emergency department at a large academic pediatric hospital between June 1, 2016, and June 1, 2022. Suicidality case definition included subtypes for severity: ideation, self-harm, and attempt. Comorbidities were measured as conditional probabilities of suicidality given a co-occurring ICD-10 diagnosis code. Propensity scores were used to match known suicidality cases to undiagnosed patients at risk of suicidality.

RESULTS

In total, 2.9% of ED encounters met an ICD-10-based case definition of suicidality during the study period. Comorbidities of suicidality were statistically significant for 55 frequently co-occurring diagnosis codes. Nearly half (26/55) were not present in the DSM-5 codeset and nearly a quarter (12/55) included ICD-10 codes for harm without documented self-harm intent. The probability of suicidality diagnosis was 44% for patients with personality disorder, gender dysphoria (43%), bipolar disorder (36%), depression (33%), and schizophrenia spectrum disorders (32%). Compared to ground truth comparison, 53.4% of propensity matched comparators were true positive suicidality cases.

CONCLUSIONS

Propensity score matching is informative for selection of undiagnosed suicidality cases whose comorbidity profiles closely resemble known cases of suicidality.

摘要

背景

自杀是10至26岁患者的第二大死因。儿科自杀行为报告不足,这对有效的干预和预防策略构成了重大挑战。识别有自杀风险的人群在研究队列选择、患病率估计和资源分配方面可带来关键益处。

目的

(1)测量与自杀行为相关的心理健康合并症的患病率;(2)对已诊断的自杀行为队列进行倾向匹配,以选择未诊断的高风险自杀行为队列。

方法

对2016年6月1日至2022年6月1日期间在一家大型学术儿科医院急诊科就诊的6至18岁患者的国际疾病分类第十版(ICD - 10)诊断代码进行分析。自杀行为病例定义包括严重程度的亚型:意念、自我伤害和未遂。合并症以给定同时出现的ICD - 10诊断代码时自杀行为的条件概率来衡量。倾向得分用于将已知的自杀行为病例与有自杀风险的未诊断患者进行匹配。

结果

在研究期间,总共2.9%的急诊科就诊病例符合基于ICD - 10的自杀行为病例定义。55个经常同时出现的诊断代码的自杀行为合并症具有统计学意义。近一半(26/55)不在《精神疾病诊断与统计手册》第五版(DSM - 5)代码集中,近四分之一(12/55)包括无记录的自我伤害意图的伤害的ICD - 10代码。人格障碍患者的自杀行为诊断概率为44%,性别焦虑症患者为43%,双相情感障碍患者为36%,抑郁症患者为33%,精神分裂症谱系障碍患者为32%。与真实对照相比,53.4%的倾向匹配对照者是真正的自杀行为阳性病例。

结论

倾向得分匹配有助于选择未诊断的自杀行为病例,这些病例的合并症特征与已知的自杀行为病例非常相似。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e9e/12330468/9c299b514bf9/nihpp-2025.07.22.25331824v1-f0001.jpg

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