[Depersonalisation/derealization - clinical picture, diagnostics and therapy]

Predicting treatment response using machine learning: A registered report

OBJECTIVE

Previous research on psychotherapy treatment response has mainly focused on outpatients or clinical trial data which may have low ecological validity regarding naturalistic inpatient samples. To reduce treatment failures by proactively screening for patients at risk of low treatment response, gain more knowledge about risk factors and to evaluate treatments, accurate insights about predictors of treatment response in naturalistic inpatient samples are needed.

METHODS

We compared the performance of different machine learning algorithms in predicting treatment response, operationalized as a substantial reduction in symptom severity as expressed in the Patient Health Questionnaire Anxiety and Depression Scale. To achieve this goal, we used different sets of variables-(a) demographics, (b) physical indicators, (c) psychological indicators and (d) treatment-related variables-in a naturalistic inpatient sample (N = 723) to specify their joint and unique contribution to treatment success.

RESULTS

There was a strong link between symptom severity at baseline and post-treatment (R2 = .32). When using all available variables, both machine learning algorithms outperformed the linear regressions and led to an increment in predictive performance of R2 = .12. Treatment-related variables were the most predictive, followed psychological indicators. Physical indicators and demographics were negligible.

CONCLUSIONS

Treatment response in naturalistic inpatient settings can be predicted to a considerable degree by using baseline indicators. Regularization via machine learning algorithms leads to higher predictive performances as opposed to including nonlinear and interaction effects. Heterogenous aspects of mental health have incremental predictive value and should be considered as prognostic markers when modelling treatment processes.

Differential constellations of dissociative symptoms and their association with childhood trauma - a latent profile analysis

Background: While several studies documented a positive correlation between childhood maltreatment severity and dissociation severity, it is currently unknown whether specific dissociative symptoms cluster together among individuals with childhood trauma histories ranging from none to severe.Objective: We aimed to explore symptom constellations across the whole spectrum of dissociative processing from patients with severe dissociative disorders to healthy controls and relate these to maltreatment severity and sociodemographic characteristics.Methods: We employed latent profile analysis to explore symptom profiles based on five subscales, measuring absorption, depersonalization, derealization, somatoform and identity alteration, based on the 20 items of the German short version of the Dissociative Experiences Scale-II (Fragebogen zu Dissoziativen Symptomen-20) in a large aggregate sample (n = 3,128) overrepresenting patients with trauma-related disorders. We then related these profiles to maltreatment severity as measured by the five subscales of the Childhood Trauma Questionnaire as well as sociodemographic characteristics.Results: Based on the five FDS subscales, six clusters differentiated by symptom severity, but not symptom constellations, were identified. Somatoform dissociation varied in accordance with the remaining symptom clusters. The cluster with the highest overall symptom severity entailed nearly all subjects diagnosed with Dissociative Identity Disorder and was characterized by extreme levels of childhood maltreatment. Both abuse and neglect were predictive of cluster membership throughout.Conclusions: The higher the severity of dissociative processing in a cluster, the more subjects reported high severity and multiplicity of childhood maltreatment. However, some subjects remain resilient to the development of dissociative processing although they experience extreme childhood maltreatment.

Clinical high-risk criteria of psychosis in 8–17-year-old community subjects and inpatients not suspected of developing psychosis

BACKGROUND

In children and adolescents compared to adults, clinical high-risk of psychosis (CHR) criteria and symptoms are more prevalent but less psychosis-predictive and less clinically relevant. Based on high rates of non-converters to psychosis, especially in children and adolescents, it was suggested that CHR criteria were: (1) Pluripotential; (2) A transdiagnostic risk factor; and (3) Simply a severity marker of mental disorders rather than specifically psychosis-predictive. If any of these three alternative explanatory models were true, their prevalence should differ between persons with and without mental disorders, and their severity should be associated with functional impairment as a measure of severity.

AIM

To compare the prevalence and severity of CHR criteria/symptoms in children and adolescents of the community and inpatients.

METHODS

In the mainly cross-sectional examinations, 8–17-year-old community subjects (n = 233) randomly chosen from the population register of the Swiss Canton Bern, and inpatients (n = 306) with primary diagnosis of attention-deficit/hyperactivity disorder (n = 86), eating disorder (n = 97), anxiety including obsessive–compulsive disorder (n = 94), or autism spectrum disorder (n = 29), not clinically suspected to develop psychosis, were examined for CHR symptoms/criteria. Positive items of the Structured Interview for Psychosis-Risk Syndromes (SIPS) were used to assess the symptomatic ultra-high-risk criteria, and the Schizophrenia Proneness Instrument, Child and Youth version (SPI-CY) was used to assess the 14 basic symptoms relevant to basic symptom criteria. We examined group differences in frequency and severity of CHR symptoms/criteria using χ² tests and nonparametric tests with Cramer’s V and Rosenthal’s r as effect sizes, and their association with functioning using correlation analyses.

RESULTS

The 7.3% prevalence rate of CHR criteria in community subjects did not differ significantly from the 9.5% rate in inpatients. Frequency and severity of CHR criteria never differed between the community and the four inpatient groups, while the frequency and severity of CHR symptoms differed only minimally. Group differences were found in only four CHR symptoms: suspiciousness/persecutory ideas of the SIPS [χ² (4) = 9.425; P = 0.051, Cramer’s V = 0.132; and Z = -4.281, P < 0.001; Rosenthal’s r = 0.184], and thought pressure [χ² (4) = 11.019; P = 0.026, Cramer’s V = 0.143; and Z = -2.639, P = 0.008; Rosenthal’s r = 0.114], derealization [χ² (4) = 32.380; P < 0.001, Cramer’s V = 0.245; and Z = -3.924, P < 0.001; Rosenthal’s r = 0.169] and visual perception disturbances [χ² (4) = 10.652; P = 0.031, Cramer’s V = 0.141; and Z = -2.822, P = 0.005; Rosenthal’s r = 0.122] of the SPI-CY. These were consistent with a transdiagnostic risk factor or dimension, i.e., displayed higher frequency and severity in inpatients, in particular in those with eating, anxiety/obsessive–compulsive and autism spectrum disorders. Low functioning, however, was at most weakly related to the severity of CHR criteria/symptoms, with the highest correlation yielded for suspiciousness/persecutory ideas (Kendall’s tau = -0.172, P < 0.001).

CONCLUSION

The lack of systematic differences between inpatients and community subjects does not support suggestions that CHR criteria/symptoms are pluripotential or transdiagnostic syndromes, or merely markers of symptom severity.

Factors influencing risk perception and nosocomial infection prevention practices of frontline nurses during the COVID-19 pandemic

BACKGROUND

During the coronavirus disease 2019 (COVID-19) pandemic, exploring factors influencing nosocomial infection among frontline nurses may provide evidence to optimize prevention strategies in hospitals.

METHOD

A large-scale online questionnaire survey of nurses' state-trait anxiety, job burnout, risk perception, workplace safety perception, knowledge about nosocomial infection, and preventive practices was conducted with 2795 frontline nurses working in the COVID-19 wards of six hospitals in Hubei Province, China, from February 1 to April 1, 2020. The questionnaire data were analyzed using the structural equation modeling (SEM) method to reveal the mechanisms influencing nurses' risk perception and preventive practices related to nosocomial COVID-19 infection.

RESULTS

A model of the factors that influence nurses' risk perception and preventive practices regarding nosocomial COVID-19 infection was established. The model verified hypotheses regarding the impact of nurses' risk perception and preventive practices. Notably, the hypothesis that risk perception has an impact on nurses' preventive practices regarding nosocomial infection is not valid. Moreover, different marital and educational conditions are associated with significant differences in the impact of state anxiety on the execution of preventive practices, the impact of workplace safety perceptions on risk perception, and the impact of workplace safety perceptions on the execution of preventive practices. The effect of state anxiety on preventive practices differed significantly with different durations of work experience.

CONCLUSIONS

According to the results of the influencing factor model, promoting the quality of training on nosocomial infection, meliorating workplace safety, and conducting timely and effective psychological interventions would aid in improving nurses' preventive practices. Meliorating workplace safety and easing state anxiety would be beneficial to reduce nurses' risk perception. These strategies are conducive to the optimization of policies for preventing nosocomial COVID-19 infections and similar infectious diseases.

Striking discrepancy of anomalous body experiences with normal interoceptive accuracy in depersonalization-derealization disorder

Background

Disembodiment is a core feature of depersonalization disorder (DPD). Given the narratives of DPD patients about their disembodiment and emotional numbing and neurobiological findings of an inhibition of insular activity, DPD may be considered as a mental disorder with specific impairments of interoceptive awareness and body perception.

Methods

We investigated cardioceptive accuracy (CA) of DPD patients (n = 24) as compared to healthy controls (n = 26) with two different heartbeat detection tasks (“Schandry heartbeat counting task” and “Whitehead heartbeat discrimination task”). Self-rated clearness of body perception was measured by questionnaire.

Results

Contrary to our hypothesis, DPD patients performed similarly to healthy controls on the two different heartbeat detection tasks, and they had equal scores regarding their self-rated clearness of body perception. There was no correlation of the severity of “anomalous body experiences” and depersonalization with measures of interoceptive accuracy. Only among healthy controls CA in the Schandry task was positively correlated with self-rated clearness of body perception. Depersonalization was unrelated to severity of depression or anxiety, while depression and anxiety were highly correlated. Anxiety and depression did not modify the associations of depersonalization with interoceptive accuracy.

Conclusions

Our main findings highlight a striking discrepancy of normal interoception with overwhelming experiences of disembodiment in DPD. This may reflect difficulties of DPD patients to integrate their visceral and bodily perceptions into a sense of their selves. This problem may be considered an important target for psychotherapeutic treatment approaches.

Distinctiveness and overlap of depersonalization with anxiety and depression in a community sample: results from the Gutenberg Heart Study

Depersonalization disorder is considered to be a common clinical phenomenon and disorder with an enormous gap between prevalence and detection partly due to the common interpretation of depersonalization (DP) being a negligible variant of anxiety and depression. Therefore, we sought to analyze (1) the prevalence rate of DP in a large community sample (n=5000) according to a recently developed ultra brief two-item depersonalization screener; (2) the associations with depression, anxiety, physical and mental health status; and 93) whether DP contributes independently to the health status beyond anxiety and depression. The prevalence of clinically significant DP was 0.8% (n=41), and 8.5% (n=427) endorsed at least one symptom of DP. DP was independently associated with impairment of mental and physical health status as well as with a medical history of any depressive or anxiety disorder. Despite the consistent association of DP with anxiety and depression, the shared variances were small, and DP was clearly separated from symptoms of anxiety and depression in the principal component analysis. Therefore, we conclude that the implementation of depersonalization screening might be recommended.

[Obsessive-compulsive disorder--clinical picture, diagnosis, and therapy]

This article reviews the present state of knowledge concerning obsessive-compulsive disorder (OCD) with respect to its classification, epidemiology, pathogenesis, and therapy. Epidemiological evidence has indicated that OCD may be one of the most prevalent and disabling psychiatric disorders. There is also a high comorbidity with depression and anxiety disorders. OCD is characterized by repetitive, intrusive thoughts and images, and/or by repetitive, ritualistic physical or mental acts performed to reduce the attended anxiety. OCD is relatively common, affecting 1-3% of both adult and paediatric samples. OCD is clinically a heterogeneous condition in that two different patients with clear OCD can display completely distinct symptom patterns. Furthermore, neurobiological and psychological models concerning OCD as well as the present state of therapy are presented in detail.

[On the differential diagnostics of depersonalization experiences]

Depersonalization represents an unspecific symptom which is to be found across the entire spectrum of psychiatric nosology. Delineating the historical lines of development of the depersonalization concept and reviewing existing psychopathological experiential knowledge reveals that depersonalization is underpinned by highly diverse modes of experience. In terms of differential diagnostics at the symptom level, a distinction can be made between depersonalization as a neurotic phenomenon on the one hand and a psychotic form occurring in schizophrenia and melancholia on the other. The reference points defined here extend beyond current descriptive classifications and open up the diagnostic process to allow an inclusion of etiological and therapeutic aspects.

[How often is the Depersonalization-Derealization Disorder (ICD-10: F48.1) diagnosed in the outpatient health-care service?]

OBJECTIVES

The study determines how often Depersonalization-Derealization Disorder (ICD-10: F48.1) is diagnosed in the general population and analyzes the associations of other diseases with F48.1.

METHODS

The sample consists of 1.567 million insured persons of a statutory health insurance fund in Germany. We analyzed the prevalence of F48.1 and the associations of F48.1 with other diseases according to ICD-10.

RESULTS

We found a 1-year prevalence of 0.007 % for the diagnosis of F48.1. After adjustment for age, sex, depression and anxiety, several somatic disease groups were found to be associated with an increased likelihood of F48.1, e.g., abnormalities of breathing (R06), cardiac arrhythmias (I47-I49), epilepsy (G40), dizziness (H81, H82, R42) and headache (G43, G44, R51).

CONCLUSIONS

According to epidemiological studies, the prevalence of depersonalization-derealization disorder is 1-2 %. We therefore conclude that F48.1 is severely underdiagnosed. Increased awareness for the detection of F48.1 and further health care research are urgently warranted.

[Depersonalization-derealization in the psychosomatic outpatient and consultation-liaison service]

OBJECTIVES

First, to determine the prevalence of symptoms of depersonalization (DP) and derealization (DR) in psychosomatic consultation-liaison patients and psychosomatic outpatients; second, to examine how DP-DR contributes to differences among patients with respect to the spectrum of other diagnoses, disease severity, history of psychotherapeutic outpatient treatment and psychiatric/psychosomatic inpatient treatments as well as to self-rated distress.

METHODS

The sample comprises n=825 patients. In order to analyze the effects of DP-DR, the sample was divided into three subgroups of DP-DR severity: patients without symptoms of DP-DR, patients with mild DP-DR, and patients with clinical significant DP-DR.

RESULTS

34.8% patients had no symptoms of DP-DR, 48.2% mild DP-DR, and 17.0% scored clinical significant DP-DR. The severity of DP-DR was associated with other indicators of self- and observer-rated disease severity as well as with greater psychosomatic and psychiatric health care use. However, after adjustment for indicators of disease severity, the significant association between the use of psychotherapeutic outpatient treatment and psychiatric or psychosomatic inpatient treatment in the medical history disappeared.

CONCLUSIONS

Symptoms of DP-DR are very common in psychosomatic patients. They represent an indicator of disease severity, which however is paradoxically not associated with increased use of psychotherapeutic health care.