Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA.
Int J Epidemiol. 2022 Oct 13;51(5):1593-1603. doi: 10.1093/ije/dyac030.
A minority of persons who have traumatic experiences go on to develop post-traumatic stress disorder (PTSD), leading to interest in who is at risk for psychopathology after these experiences. Complicating this effort is the observation that post-traumatic psychopathology is heterogeneous. The goal of this nested case-control study was to identify pre-trauma predictors of severe post-traumatic psychiatric comorbidity, using data from Danish registries.
The source population for this study was the population of Denmark from 1994 through 2016. Cases had received three or more psychiatric diagnoses (across all ICD-10 categories) within 5 years of a traumatic experience (n = 20 361); controls were sampled from the parent cohort using risk-set sampling (n = 81 444). Analyses were repeated in samples stratified by pre-trauma psychiatric diagnoses. We used machine learning methods (classification and regression trees and random forest) to determine the important predictors of severe post-trauma psychiatric comorbidity from among hundreds of pre-trauma predictor variables spanning demographic and social variables, psychiatric and somatic diagnoses and filled medication prescriptions.
In the full sample, pre-trauma psychiatric diagnoses (e.g. stress disorders, alcohol-related disorders, personality disorders) were the most important predictors of severe post-trauma psychiatric comorbidity. Among persons with no pre-trauma psychiatric diagnoses, demographic and social variables (e.g. marital status), type of trauma, medications used primarily to treat psychiatric symptomatology, anti-inflammatory medications and gastrointestinal distress were important to prediction. Results among persons with pre-trauma psychiatric diagnoses were consistent with the overall sample.
This study builds on the understanding of pre-trauma factors that predict psychopathology following traumatic experiences, by examining a broad range of predictors of post-trauma psychopathology and comorbidity beyond PTSD.
少数经历过创伤的人会发展出创伤后应激障碍(PTSD),这引发了人们对这些经历后哪些人有患精神病理学风险的兴趣。使这项工作复杂化的是,观察到创伤后精神病理学是异质的。这项嵌套病例对照研究的目的是使用丹麦登记处的数据,确定创伤前预测严重创伤后精神共病的因素。
本研究的源人群为 1994 年至 2016 年期间的丹麦人口。病例组在创伤后 5 年内接受了 3 次或以上的精神科诊断(所有 ICD-10 类别)(n=20361);对照组使用风险集抽样(n=81444)从母队列中抽取。在有创伤前精神科诊断的样本中重复了分析。我们使用机器学习方法(分类和回归树和随机森林),从数百个创伤前预测变量中确定严重创伤后精神共病的重要预测因素,这些变量包括人口统计学和社会变量、精神和躯体诊断以及填写的药物处方。
在全样本中,创伤前精神科诊断(例如,应激障碍、酒精相关障碍、人格障碍)是严重创伤后精神共病的最重要预测因素。在没有创伤前精神科诊断的人群中,人口统计学和社会变量(例如婚姻状况)、创伤类型、主要用于治疗精神症状的药物、抗炎药物和胃肠道不适对预测很重要。有创伤前精神科诊断的人群的结果与总体样本一致。
本研究通过检查 PTSD 以外的创伤后精神病理学和共病的广泛预测因素,在了解预测创伤后精神病理学的创伤前因素方面有所进展。