【摘要】 目的 了解和分析玉树地震伤员急性应激期睡眠问题。 方法 2010年4月，对90例玉树地震伤员的急性应激反应采用创伤后应激障碍症状清单平民版(PCL-C)17项量表进行筛查评估，并应用SPSS 17.0软件进行统计学分析。 结果 在PCL-C 17个条目中，提示睡眠障碍的条目2和条目13发生率分别为61.10%、63.30%，分别排列第5位、第3位，其得分分别与PCL-C总得分、闪回症状得分、回避症状得分及高警觉性症状得分均呈正相关(P值均lt;0.01)。 结论 睡眠障碍是地震伤员急性应激反应中的常见问题，需高度重视，并进行积极有效的处理。【Abstract】 Objective To learn and analyze the sleep disorders in acute stress of the wounded persons in Yushu earthquake. Methods The acute stress reaction of 90 wounded persons in Yushu earthquake were screened with post-traumatic stress disorder (PTSD) Checklist-Civilian (PCL-C) version-17 in April 2010. Sleep disorders were statistically analyzed with SPSS 17.0. Results In the 17 items of PCL-C, the incidences of the second and the thirteenth item which were related to sleep disorders were respectively 61.10% ranking at the fifth and 63.30% ranking at the third. Both scores of these two items had significant positive correlation with the total score of PCL-C and the scores of the flashback symptom, the avoidance symptom and the heightened alertness symptom (Plt;0.01). Conclusion Sleep disorder is a common problem in acute stress reaction of wounded persons in earthquakes, which needs high attention to be treated positively.
目的 利用局部一致性（ReHo）方法探测创伤后应激障碍（PTSD）患者在静息状态下是否存在着大脑功能异常。 方法 2010年5月－7月对18例未经治疗的地震PTSD患者和19例同样经历地震但未患PTSD的对照者进行了静息态功能磁共振成像（Rs-fMRI） 扫描。应用ReHo方法处理Rs-fMRI数据，得出PTSD患者的异常脑区，并将患者存在组间差异的脑区ReHo值与临床用PTSD诊断量表（CAPS）、汉密尔顿抑郁量表（HAMD）和汉密尔顿焦虑量表（HAMA）分别进行相关分析。 结果 ① PTSD组ReHo显著增加的脑区包括右侧颞下回、楔前叶、顶下叶、中扣带回，左侧枕中回以及左/右侧后扣带回；ReHo显著降低的脑区包括左侧海马和左/右侧腹侧前扣带回。② 异常脑区中后扣带回和右侧中扣带回ReHo与HAMD呈负相关（中扣带回r=?0.575，P=0.012；右侧后扣带回：r=?0.507，P=0.032），其余脑区ReHo与临床指标无明显相关性（P＞0.05），左侧海马与CAPS的相关性相对其他脑区较大（r=?0.430，P=0.075）。 结论 PTSD患者在静息状态下即存在着局部脑功能活动的降低和增加，ReHo方法可能有助于研究PTSD患者静息状态脑活动。
ObjectiveTo understand the relationship between post-traumatic stress disorder (PSTD) and perceived stress in suspected coronavirus disease 2019 (COVID-19) patients quarantined in hospital.MethodsA cross-sectional study of 93 suspected COVID-19 patients in one of grade-A tertiary hospital in Southwest China was carried out to evaluate the incidence of perceived stress and post-traumatic stress symptoms among these patients using the standardized Perceived Stress Scale-10 (PSS-10) and PTSD Checklist-5 (PCL-5), respectively. Pearson correlation was used to analyze the correlation between PCL-5 and PSS-10 scores.ResultsTotal PSS-10 and PCL-5 scores were 16.7±5.2 and 17.0±11.6 in 93 suspected COVID-19 patients, respectively. Positive correlations between PSS-10 and PCL-5 scores were detected (Pearson’s r=0.722, P=0.000).ConclusionsThe occurrence and development of PSTD of suspected COVID-19 patients have the relationship with the early perceived pressure. It suggests that medical staff should identify and intervene the perceived pressure level of patients who are under quarantine as suspected COVID-19 early and effectively, so as to reduce the occurrence of PTSD.
目的:探讨5·12 四川汶川大地震对系统性红斑狼疮(SLE)病情活动性的影响,以及因地震造成的停药、感染、居住环境恶劣(长期紫外线照射)和创伤后应激障碍(posttraumatic stress disease,PTSD)与病情活动性的相关性。方法:分析41例重灾区(北川、平武、江油、安县)SLE患者地震前后实验室指标和临床表现变化情况,采用Logistic回归分析地震造成停药、感染、居住环境恶劣和PTSD四种因素对SLE病情活动性的影响。结果:41例SLE患者地震后有18例病情活动,其中有27%患者出现关节痛,24%出现颜面红斑,19.5%出现发热,22%合并狼疮肾炎，震后C3水平显著低于震前。震后6例患者感染,13例患者停药,16例患者长期居住于恶劣环境中,11例患者患PTSD。通过Logistic回归分析发现PTSD、停药、居住条件恶劣与地震后SLE患者病情活动相关。结论:地震可使一部分重灾区SLE患者病情出现活动,PTSD、停药、居住条件恶劣与SLE病情活动具有相关性。
Objective To evaluate the psychological trauma incurred by the hospitalization survivor of Zhouqu district after the Zhouqu debris flow so as to provide relevant information for psychological and medical interventions. Methods The psychological state of 67 hospitalized survivors of the disaster and other 47 inpatients with similar complaints but not coming from the disaster area was investigated through a mental health self-assessment questionnaire, self-rating anxiety scale (SAS), self-rating depression scale (SDS) and PTSD-SS scale. Results The post-disaster survivors had different levels of psychological problems and post-traumatic stress disorder, and there were significant differences compared to the control group (Plt;0.01, Plt;0.01). The SDS score and the SAS score of the survivor were 48.44+15.648 and 52.92+11.672, respectively, which were all much higher than those of the control group (Plt;0.01, Plt;0.05). Conclusion The debris flow disaster bring serious psychological trauma to the victims. It is necessary to pertinently carry out post-disaster psychological relief including psychological intervention and regulation for the hospitalized survivors, so as to alleviate and reduce their psychological suffering.
In the current study, we aim to investigate whether post-traumatic stress disorder (PTSD) is associated with structural alterations in specific subfields of hippocampus comparing with trauma-exposed control (TC) in a relatively large sample. We included 67 PTSD patients who were diagnosed under Diagnostic and Statistical Manual of Mental Disorders (4th Edition) (DSM-Ⅳ) criteria and 78 age- and sex-matched non-PTSD adult survivors who experienced similar stressors. High resolution T1 weighted images were obtained via a GE 3.0 T scanner. The structural data was automatically segmented using FreeSurfer software, and volume of whole hippocampus and subfield including CA1, CA2-3, CA4-DG, fimbria, presubiculum, subiculum and fissure were extracted. Volume differences between the two groups were statistically compared with age, years of education, duration from the events and intracranial volume (ICV) as covariates. Hemisphere, sex and diagnosis were entered as fixed factors. Relationship between morphometric measurements with Clinician-Administered PTSD Scale (CAPS) score and illness duration were performed using Pearson’s correlation with SPSS. Comparing to TC, PTSD patients showed no statistically significant alteration in volumes of the whole hippocampus and all the subfields (P > 0.05). In male patients, there were significant correlations between CAPS score and volume of right CA2-3 ( R2 = 0.197, P = 0.034), right subiculum (R2 = 0.245, P = 0.016), and duration statistically correlated with right fissure (R2 = 0.247, P = 0.016). In female patients, CAPS scores significant correlated with volume of left presubiculum (R2 = 0.095, P = 0.042), left subiculum (R2 = 0.090, P = 0.048), and left CA4-DG (R2 = 0.099, P = 0.037). The main findings of the current study suggest that stress event causes non-selective damage to hippocampus in both PTSD patients and TC, and gender-specific lateralization may underlie PTSD pathology.
Post-traumatic stress disorder (PTSD) is one of the common chronic diseases in psychiatry. It has a long course of disease which seriously affects patient’s life and work, and has a serious impact on social function. So far, the diagnosis of PTSD is limited to clinical symptom manifestations and physician experience, and no exact pathological substance basis is found, while the pathological substance basis is crucial for accurate diagnosis, selection of effective treatment methods, evaluation of treatment results, and assessment of disability. Head MRI is currently one of the most promising techniques to solve this problem. This paper reviews the progress in MRI research on brain structure changes in PTSD patients, in order to explore the possible future development directions.
Post-traumatic stress disorder (PTSD) is a mental disorder causing great distress to individuals, families and even society, and there is not yet effective way of unified prevention and treatment up till now. Lots of neuroimaging techniques, however, such as the magnetic resonance imaging, are widely used to the study of the pathogenesis of PTSD with the development of medical imaging. Functional magnetic resonance imaging (fMRI) can be applied to detect the abnormalities not only of the brain morphology but also of the function of various cerebral areas and neural circuit, and plays an important role in studying the pathogenesis of psychiatric diseases. In this paper, we mainly review the task-related and resting-state functional magnetic resonance imaging studies of the PTSD, and finally suggest possible directions for future research.
Post-traumatic stress disorder (PTSD) presents with complex and diverse clinical manifestations, making accurate and objective diagnosis challenging when relying solely on clinical assessments. Therefore, there is an urgent need to develop reliable and objective auxiliary diagnostic models to provide effective diagnosis for PTSD patients. Currently, the application of graph neural networks for representing PTSD is limited by the expressiveness of existing models, which does not yield optimal classification results. To address this, we proposed a multi-graph multi-kernel graph convolutional network (MK-GCN) model for classifying PTSD data. First, we constructed functional connectivity matrices at different scales for the same subjects using different atlases, followed by employing the k-nearest neighbors algorithm to build the graphs. Second, we introduced the MK-GCN methodology to enhance the feature extraction capability of brain structures at different scales for the same subjects. Finally, we classified the extracted features from multiple scales and utilized graph class activation mapping to identify the top 10 brain regions contributing to classification. Experimental results on seismic-induced PTSD data demonstrated that our model achieved an accuracy of 84.75%, a specificity of 84.02%, and an AUC of 85% in the classification task distinguishing between PTSD patients and non-affected subjects. The findings provide robust evidence for the auxiliary diagnosis of PTSD following earthquakes and hold promise for reliably identifying specific brain regions in other PTSD diagnostic contexts, offering valuable references for clinicians.