Visual and auditory signs of patient functioning have long been used for clinical diagnosis, treatment selection, and prognosis. Direct measurement and quantification of these signals can aim to improve the consistency, sensitivity, and scalability of clinical assessment. Currently, we investigate if machine learning-based computer vision (CV), semantic, and acoustic analysis can capture clinical features from free speech responses to a brief interview 1 month post-trauma that accurately classify major depressive disorder (MDD) and posttraumatic stress disorder (PTSD).

N = 81 patients admitted to an emergency department (ED) of a Level-1 Trauma Unit following a life-threatening traumatic event participated in an open-ended qualitative interview with a para-professional about their experience 1 month following admission. A deep neural network was utilized to extract facial features of emotion and their intensity, movement parameters, speech prosody, and natural language content. These features were utilized as inputs to classify PTSD and MDD cross-sectionally.

Both video- and audio-based markers contributed to good discriminatory classification accuracy. The algorithm discriminates PTSD status at 1 month after ED admission with an AUC of 0.90 (weighted average precision = 0.83, recall = 0.84, and f1-score = 0.83) as well as depression status at 1 month after ED admission with an AUC of 0.86 (weighted average precision = 0.83, recall = 0.82, and f1-score = 0.82).

Direct clinical observation during post-trauma free speech using deep learning identifies digital markers that can be utilized to classify MDD and PTSD status.

Research exploring the longitudinal course of posttraumatic stress disorder (PTSD) symptoms has documented four modal trajectories (low, remitting, high, and delayed), with proportions varying across studies. Heterogeneity could be due to differences in trauma types and patient demographic characteristics.

This analysis pooled data from six longitudinal studies of adult survivors of civilian-related injuries admitted to general hospital emergency departments (EDs) in six countries (pooled N = 3083). Each study included at least three assessments of the clinician-administered PTSD scale in the first post-trauma year. Latent class growth analysis determined the proportion of participants exhibiting various PTSD symptom trajectories within and across the datasets. Multinomial logistic regression analyses examined demographic characteristics, type of event leading to the injury, and trauma history as predictors of trajectories differentiated by their initial severity and course.

Five trajectories were found across the datasets: Low (64.5%), Remitting (16.9%), Moderate (6.7%), High (6.5%), and Delayed (5.5%). Female gender, non-white race, prior interpersonal trauma, and assaultive injuries were associated with increased risk for initial PTSD reactions. Female gender and assaultive injuries were associated with risk for membership in the Delayed (v. Low) trajectory, and lower education, prior interpersonal trauma, and assaultive injuries with risk for membership in the High (v. Remitting) trajectory.

The results suggest that over 30% of civilian-related injury survivors admitted to EDs experience moderate-to-high levels of PTSD symptoms within the first post-trauma year, with those reporting assaultive violence at increased risk of both immediate and longer-term symptoms.

Projected changes to post-traumatic stress disorder (PTSD) diagnostic criteria in the upcoming International Classification of Diseases (ICD)-11 may affect the prevalence and severity of identified cases. This study examined differences in rates, severity, and overlap of diagnoses using ICD-10 and ICD-11 PTSD diagnostic criteria during consecutive assessments of recent survivors of traumatic events.

The study sample comprised 3863 survivors of traumatic events, evaluated in 11 longitudinal studies of PTSD. ICD-10 and ICD-11 diagnostic rules were applied to the Clinician-Administered PTSD Scale (CAPS) to derive ICD-10 and ICD-11 diagnoses at different time intervals between trauma occurrence and 15 months.

The ICD-11 criteria identified fewer cases than the ICD-10 across assessment intervals (range −47.09% to −57.14%). Over 97% of ICD-11 PTSD cases met concurrent ICD-10 PTSD criteria. PTSD symptom severity of individuals identified by the ICD-11 criteria (CAPS total scores) was 31.38–36.49% higher than those identified by ICD-10 criteria alone. The latter, however, had CAPS scores indicative of moderate PTSD. ICD-11 was associated with similar or higher rates of comorbid mood and anxiety disorders. Individuals identified by either ICD-10 or ICD-11 shortly after traumatic events had similar longitudinal course.

This study indicates that significantly fewer individuals would be diagnosed with PTSD using the proposed ICD-11 criteria. Though ICD-11 criteria identify more severe cases, those meeting ICD-10 but not ICD-11 criteria remain in the moderate range of PTSD symptoms. Use of ICD-11 criteria will have critical implications for case identification in clinical practice, national reporting, and research.

Empirical data on the use of services due to mental health problems in older adults in Europe is lacking. The objective of this study is to identify factors associated with service utilization in the elderly.

As part of the MentDis_ICF65+ study, N = 3,142 people aged 65–84 living in the community in six European and associated countries were interviewed. Based on Andersen's behavioral model predisposing, enabling, and need factors were analyzed with logistic regression analyses.

Overall, 7% of elderly and 11% of those with a mental disorder had used a service due to mental health problems in the last 12 months. Factors significantly associated with underuse were male sex, lower education, living in the London catchment area, higher functional impairment and more comorbid mental disorders. The most frequently reported barrier to service use was personal beliefs, e.g. “I can deal with my problem on my own” (90%).

Underutilization of mental health services among older people in the European community is common and interventions are needed to achieve an adequate use of services.

Traumatic amnesia has been amply documented in the psychoanalytic literature but inconsistently in the research literature.

Six trauma patients were followed prospectively. Survivors were interviewed 7, 30, and 120 days following the traumatic event. Each interview documented in detail their recollections of the day of their trauma.

In four subjects who did not develop posttraumatic stress disorder (PTSD), we found brief, stable, and persiste memory gaps, which coincided with the moment of greatest emotional intensity. In two subjects who developed PTSD, we found, in addition to the previous form of amnesia, longer, progressive, and unstable memory gaps.

Neurobiological research offers two explanatory mechanisms for the observations: A failure of acquisition of episodic memories may account for the stable deficits seen in all subjects. This could coincide with stress-induced malfunction of the hippocampal declarative memory system. A failure of spontaneous recall may account for the more extended traumatic amnesia that was observed in PTSD patients. This resembles the psychoanalytic description of repression.

These preliminary findings suggest that brief, irreversible memory gaps are common in trauma survivors, whereas longer, progressive, and potentially reversible amnesia occurs among survivors who develop PTSD.

Most individuals who, shortly after trauma, express symptoms of post-traumatic stress disorder (PTSD) recover within one year of their traumatic experiences. In contrast, those who remain ill for one year rarely recover completely. The early identification of the latter is, therefore, very important.

To prospectively evaluate predictors of PTSD at four months and one year.

We followed 236 trauma survivors recruited from admissions to a general hospital's emergency room for four months, at which point 41 (17.4%) met diagnostic criteria for PTSD. Twenty-three of these individuals, and 39 individuals without PTSD at four months, were assessed again at one year.

Depressive symptoms were the best predictors of PTSD at both time points. Intrusive symptoms and peri-traumatic dissociation were better at predicting four-month PTSD than one-year PTSD.

The occurrence of depression during the months that follow a traumatic event is an important mediator of chronicity in PTSD.

This study examined the ability of commonly used questionnaires and a structured clinical interview to predict PTSD in recent trauma survivors.

Horowitz's Impact of Event Scale (IES), Speilberger's State Anxiety (SANX) and the Peri Traumatic Dissociation Questionnaire (PDEQ) were administered one week post-trauma to 239 traumatised individuals recruited from a general hospital emergency room. The IES, the SANX, the civilian version of the Mississippi Scale for Combat Related PTSD (MISS), and the Clinician Administered PTSD Scale (CAPS) were administered one month and four months post-trauma. Receiver operator characteristic (ROC) analysiswas used with these data.

All questionnaires were better than chance at predicting PTSD. The so called PTSD questionnaires (IES and MISS) were not better than the more general ones. No difference in predictive value was found when questionnaires were carried outone week or one month after a trauma. Recovery was better predicted than PTSD, and the CAPS was better than the questionnaires.

The use of psychometrics and clinical interviews to predict PTSD should be guided by clinical relevance and by the availability of resources.