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识别创伤后应激障碍的电生理前驱症状:一项初步研究的结果。

Identifying Electrophysiological Prodromes of Post-traumatic Stress Disorder: Results from a Pilot Study.

作者信息

Wang Chao, Costanzo Michelle E, Rapp Paul E, Darmon David, Bashirelahi Kylee, Nathan Dominic E, Cellucci Christopher J, Roy Michael J, Keyser David O

机构信息

Traumatic Injury Research Program, Department of Military and Emergency Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.

The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA.

出版信息

Front Psychiatry. 2017 May 15;8:71. doi: 10.3389/fpsyt.2017.00071. eCollection 2017.

Abstract

The objective of this research project is the identification of a physiological prodrome of post-traumatic stress disorder (PTSD) that has a reliability that could justify preemptive treatment in the sub-syndromal state. Because abnormalities in event-related potentials (ERPs) have been observed in fully expressed PTSD, the possible utility of abnormal ERPs in predicting delayed-onset PTSD was investigated. ERPs were recorded from military service members recently returned from Iraq or Afghanistan who did not meet PTSD diagnostic criteria at the time of ERP acquisition. Participants ( = 65) were followed for up to 1 year, and 7.7% of the cohorts ( = 5) were PTSD-positive at follow-up. The initial analysis of the receiver operating characteristic (ROC) curve constructed using ERP metrics was encouraging. The average amplitude to target stimuli gave an area under the ROC curve of greater than 0.8. Classification based on the Youden index, which is determined from the ROC, gave positive results. Using average target amplitude at electrode Cz yielded Sensitivity = 0.80 and Specificity = 0.87. A more systematic statistical analysis of the ERP data indicated that the ROC results may simply represent a fortuitous consequence of small sample size. Predicted error rates based on the distribution of target ERP amplitudes approached those of random classification. A leave-one-out cross validation using a Gaussian likelihood classifier with Bayesian priors gave lower values of sensitivity and specificity. In contrast with the ROC results, the leave-one-out classification at Cz gave Sensitivity = 0.65 and Specificity = 0.60. A bootstrap calculation, again using the Gaussian likelihood classifier at Cz, gave Sensitivity = 0.59 and Specificity = 0.68. Two provisional conclusions can be offered. First, the results can only be considered preliminary due to the small sample size, and a much larger study will be required to assess definitively the utility of ERP prodromes of PTSD. Second, it may be necessary to combine ERPs with other biomarkers in a multivariate metric to produce a prodrome that can justify preemptive treatment.

摘要

本研究项目的目标是识别创伤后应激障碍(PTSD)的生理前驱症状,其可靠性足以证明在亚综合征状态下进行预防性治疗的合理性。由于在完全表现出的PTSD中已观察到事件相关电位(ERP)异常,因此研究了异常ERP在预测延迟性PTSD方面的可能效用。ERP记录于最近从伊拉克或阿富汗返回的军人,他们在ERP采集时不符合PTSD诊断标准。对65名参与者进行了长达1年的随访,随访期间7.7%(5人)的队列PTSD呈阳性。使用ERP指标构建的受试者工作特征(ROC)曲线的初步分析结果令人鼓舞。目标刺激的平均振幅给出的ROC曲线下面积大于0.8。基于由ROC确定的约登指数进行分类,得到了阳性结果。使用电极Cz处的平均目标振幅得出灵敏度=0.80,特异性=0.87。对ERP数据进行更系统的统计分析表明(ROC结果)可能只是小样本量的偶然结果。基于目标ERP振幅分布预测的错误率接近随机分类的错误率。使用具有贝叶斯先验的高斯似然分类器进行留一法交叉验证得到的灵敏度和特异性值较低。与ROC结果相反,在电极Cz处进行留一法分类得到的灵敏度=0.65,特异性=0.60。再次使用电极Cz处的高斯似然分类器进行自抽样计算,得到的灵敏度=0.59,特异性=0.68。可以得出两个初步结论。第一,由于样本量小,结果只能被视为初步的,需要进行更大规模的研究来最终评估PTSD的ERP前驱症状的效用。第二,可能有必要在多变量指标中将ERP与其他生物标志物结合起来,以产生一种能够证明预防性治疗合理性的前驱症状。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4071/5430065/bd6e5b7ad48e/fpsyt-08-00071-g001.jpg

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