Application of data pooling to longitudinal studies of early post-traumatic stress disorder (PTSD): the International Consortium to Predict PTSD (ICPP) project.
Application of data pooling to longitudinal studies of early post-traumatic stress disorder (PTSD): the International Consortium to Predict PTSD (ICPP) project.
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数据集合在创伤后应激障碍（PTSD）的纵向研究中的应用：国际联盟预测PTSD（ICPP）项目。
DOI：
10.1080/20008198.2018.1476442
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发表时间：
2018
影响因子：
5
通讯作者：
ICPP
中科院分区：
文献类型：
--
作者：
Qi W;Ratanatharathorn A;Gevonden M;Bryant R;Delahanty D;Matsuoka Y;Olff M;deRoon-Cassini T;Schnyder U;Seedat S;Laska E;Kessler RC;Koenen K;Shalev A;ICPP
背景：了解创伤后应激障碍（PTSD）的发展是进行有效的风险评估和预防计划的前提。迄今为止的研究都是针对特定地点和样本的。为了开发创伤后应激障碍发展和预测的通用模型，国际创伤后应激障碍预测联盟（ICPP）从六个不同国家进行的13项纵向、基于急性护理的创伤后应激障碍研究中收集数据。目的：本研究的目的是描述ICPP的数据汇集和协调方法，并提出交叉研究描述性结果，为急性创伤后PTSD的纵向病程提供信息。方法：收集13项成人平民创伤幸存者的纵向研究项目数据。构念（如创伤后应激障碍、抑郁）、测量（问题或量表）和时间变量（创伤后天数）被识别和协调，编码不一致的（如教育程度、终身创伤暴露）被重新编码。在11项研究中，临床医生管理的PTSD量表（CAPS）成为PTSD诊断和严重程度的主要衡量标准。结果：纳入6254名受试者（女性39.9%）。研究的平均保留率为87.0%（范围49.1-93.5%）。参与者的基线评估在创伤暴露后2个月内进行。随访时间为188至1110天。反映研究的纳入标准，基线PTSD患病率在研究之间存在显著差异（范围3.1-61.6%），在随后的评估中也观察到类似的差异（第二次和第三次评估分别为4.3-38.2%和3.8-27.0%）。结论：从独立收集的研究中汇集数据需要仔细管理单个数据集，以提取和优化信息共性。然而，这是开发稳健的、可推广的创伤后应激障碍预测模型的重要一步，可以超越单一研究的发现。PTSD患病率的巨大差异提醒人们不要使用任何单独的研究来推断创伤的结果。在个别研究中使用的工具的多样性强调了在未来的研究中需要共同的数据元素。
Background: Understanding the development of post-traumatic stress disorder (PTSD) is a precondition for efficient risk assessment and prevention planning. Studies to date have been site and sample specific. Towards developing generalizable models of PTSD development and prediction, the International Consortium to Predict PTSD (ICPP) compiled data from 13 longitudinal, acute-care based PTSD studies performed in six different countries. Objective: The objectives of this study were to describe the ICPP’s approach to data pooling and harmonization, and present cross-study descriptive results informing the longitudinal course of PTSD after acute trauma. Methods: Item-level data from 13 longitudinal studies of adult civilian trauma survivors were collected. Constructs (e.g. PTSD, depression), measures (questions or scales), and time variables (days from trauma) were identified and harmonized, and those with inconsistent coding (e.g. education, lifetime trauma exposure) were recoded. Administered in 11 studies, the Clinician Administered PTSD Scale (CAPS) emerged as the main measure of PTSD diagnosis and severity. Results: The pooled data set included 6254 subjects (39.9% female). Studies’ average retention rate was 87.0% (range 49.1–93.5%). Participants’ baseline assessments took place within 2 months of trauma exposure. Follow-up durations ranged from 188 to 1110 days. Reflecting studies’ inclusion criteria, the prevalence of baseline PTSD differed significantly between studies (range 3.1–61.6%), and similar differences were observed in subsequent assessments (4.3–38.2% and 3.8–27.0% for second and third assessments, respectively). Conclusion: Pooling data from independently collected studies requires careful curation of individual data sets for extracting and optimizing informative commonalities. However, it is an important step towards developing robust and generalizable prediction models for PTSD and can exceed findings of single studies. The large differences in prevalence of PTSD longitudinally cautions against using any individual study to infer trauma outcome. The multiplicity of instruments used in individual studies emphasizes the need for common data elements in future studies.
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4.7
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