Alting van Geusau Valentijn V P, Mulder Jeroen D, Matthijssen Suzy J M A
Altrecht Academic Anxiety Center, Altrecht GGz, 3524 SH Utrecht, The Netherlands.
Department of Clinical Psychology, Utrecht University, 3584 CS Utrecht, The Netherlands.
J Clin Med. 2021 Sep 15;10(18):4152. doi: 10.3390/jcm10184152.
It is useful to investigate factors that could predict treatment outcomes for PTSD. The current study aims to investigate the relationship between daily measured PTSD symptoms during an intensive six-day treatment program and overall post-treatment outcomes. The treatment program combines eye movement desensitization with reprocessing and prolonged exposure, as well as physical activity and psychoeducation. It was expected that for the entire duration of treatment, as well as the first half of the treatment, a greater decline in daily PTSD symptoms would be a predictor for a greater decline in PTSD symptoms at a four-week follow-up. Data from 109 PTSD-patients (87.2% female, mean age = 36.9, = 11.5) were used. PTSD symptoms were measured with the CAPS-5 and the self-reported PTSD checklist for DSM-5 (PCL-5). Daily PTSD symptoms were measured with an abbreviated version of the PCL-5 (8-item PCL). Latent growth curve models were used to describe changes in daily PTSD symptoms and predict treatment outcome. Results show that a greater decline in daily PTSD symptoms measured by the 8-item PCL predicts better treatment outcome (CAPS-5 and PCL-5), but that a patient's PTSD symptoms on the first day of treatment has no predictive effect. A decline in PTSD symptoms only during the first half of treatment was also found to predict treatment outcomes. Future research should be focused on replicating the results of the current study.
研究可能预测创伤后应激障碍（PTSD）治疗结果的因素很有用。当前的研究旨在调查在为期六天的强化治疗项目中每日测量的PTSD症状与总体治疗后结果之间的关系。该治疗项目将眼动脱敏与再处理、延长暴露以及体育活动和心理教育结合起来。预计在整个治疗期间以及治疗的前半段，每日PTSD症状的更大程度下降将是四周随访时PTSD症状更大程度下降的一个预测指标。使用了来自109名PTSD患者的数据（87.2%为女性，平均年龄 = 36.9，标准差 = 11.5）。PTSD症状用临床医师专用PTSD量表第五版（CAPS - 5）和DSM - 5自我报告PTSD清单（PCL - 5）进行测量。每日PTSD症状用PCL - 5的一个简化版本（8项PCL）进行测量。潜在增长曲线模型用于描述每日PTSD症状的变化并预测治疗结果。结果表明，用8项PCL测量的每日PTSD症状的更大程度下降预测了更好的治疗结果（CAPS - 5和PCL - 5），但患者治疗第一天的PTSD症状没有预测作用。还发现仅在治疗前半段PTSD症状的下降也能预测治疗结果。未来的研究应集中于重复当前研究的结果。
