Psychiatric and non-psychiatric patients during the midst of Covid-19: Pandemic distress, psychosis and the belief in conspiracy theories.

BACKGROUND: The COVID-19 pandemic was associated with increased levels of psychological distress in the general population, at the same time providing a perfect breeding ground for conspiracy beliefs. Psychiatric patients are considered as a population with an increased vulnerability for stressful events, and conspiracy beliefs show overlaps with paranoid ideations. The aim of the present study was to investigate if psychiatric patients experienced higher levels of pandemic distress than non-psychiatric patients, if they were more prone to conspiracy beliefs and if pandemic distress as well as other mental health variables were associated with believing in conspiracy theories. METHODS: Indicators for mental health (pandemic distress, depressive symptoms, general anxiety symptoms, perceived stress) and indicators for believing in conspiracy theories were assessed within psychiatric (n = 73) and non-psychiatric patients (n = 29) during the midst of the pandemic. RESULTS: Psychiatric patients reported higher levels of pandemic distress than non-psychiatric patients. Conspiracy measurements correlated positively with pandemic distress, but not with anxiety and depression. No differences were found between psychiatric patients with or without psychotic disorder and non-psychiatric patients in regard to conspiracy measurements. CONCLUSION: Our findings suggest a higher susceptibility of psychiatric patients to pandemic distress, but not an increased level of believing in conspiracy theories. The common notion that people suffering from psychosis are more likely to believe in conspiracy theories was not supported. Furthermore, distress caused by a specific event and not anxiety per se seems to be related to the degree of conspiracy beliefs.

A preliminary choroid plexus volumetric study in individuals with psychosis.

The choroid plexus (ChP) is part of the blood-cerebrospinal fluid barrier, regulating brain homeostasis and the brain's response to peripheral events. Its upregulation and enlargement are considered essential in psychosis. However, the timing of the ChP enlargement has not been established. This study introduces a novel magnetic resonance imaging-based segmentation method to examine ChP volumes in two cohorts of individuals with psychosis. The first sample consists of 41 individuals with early course psychosis (mean duration of illness = 1.78 years) and 30 healthy individuals. The second sample consists of 30 individuals with chronic psychosis (mean duration of illness = 7.96 years) and 34 healthy individuals. We utilized manual segmentation to measure ChP volumes. We applied ANCOVAs to compare normalized ChP volumes between groups and partial correlations to investigate the relationship between ChP, LV volumes, and clinical characteristics. Our segmentation demonstrated good reliability (.87). We further showed a significant ChP volume increase in early psychosis (left: p < .00010, right: p < .00010) and a significant positive correlation between higher ChP and higher LV volumes in chronic psychosis (left: r = .54, p = .0030, right: r = .68; p < .0010). Our study suggests that ChP enlargement may be a marker of acute response around disease onset. It might also play a modulatory role in the chronic enlargement of lateral ventricles, often reported in psychosis. Future longitudinal studies should investigate the dynamics of ChP enlargement as a promising marker for novel therapeutic strategies.

Loneliness in Elderly Inpatients.

PURPOSE: Loneliness among the elderly is a widespread phenomenon and is connected to various negative health outcomes. Nevertheless, loneliness among elderly inpatients, especially those with a psychiatric diagnosis, has hardly been examined. Our study assessed loneliness in elderly inpatients, identified predictors, and compared levels of loneliness between inpatients on psychiatric and somatic wards. METHODS: N = 100 elderly inpatients of a somatic and psychiatric ward were included. Levels of loneliness were assessed, as were potential predictors such as depression, psychological resilience, severity of mental illness, well-being, daily functioning, and psychiatric diagnosis. Analyses of group differences and hierarchical multiple regression analysis were conducted. RESULTS: 37% of all inpatients reported elevated levels of loneliness. Significant predictor variables were self-reported depressive symptoms, well-being, severity of mental illness, being single and living with a caregiver. Hierarchical multiple regression analysis revealed that the full model explained 58% of variance in loneliness. Psychiatric inpatients' loneliness was significantly higher than loneliness in somatic inpatients. When analyzing group differences between inpatients with different main psychiatric diagnoses, highest levels were found in patients with an affective disorder, followed by those treated for organic mental disorder. Since the study took place during the COVID-19 pandemic, potential influence of different measurement points (lockdown vs. no lockdown) were analyzed: Differences in loneliness depending on the phase of the pandemic were non-significant. CONCLUSION: Elderly inpatients experience high levels of loneliness, especially those with a mental disorder. Interventions to reduce loneliness in this population should address predictors of loneliness, preferably through multiprofessional interventions.

Structured Interventions to Optimize Polypharmacy in Psychiatric Treatment and Nursing Homes: A Systematic Review.

BACKGROUND: Polypharmacy is a common clinical issue. It increases in prevalence with older age and comorbidities of patients and has been recognized as a major cause for treatment complications. In psychiatry, polypharmacy is also commonly seen in younger patients and can lead to reduced treatment satisfaction and incompliance. A variety of structured polypharmacy interventions have been investigated. This systematic review provides a comprehensive overview of the field and identifies research gaps. METHODS: We conducted a systematic review on structured interventions aimed at optimizing polypharmacy of psychotropic and somatic medication in psychiatric inpatient and outpatient settings as well as nursing homes. A search protocol was registered with PROSPERO (CRD42020187304). Data were synthesized narratively. RESULTS: Fifty-eight studies with a total of 30,554 participants met the inclusion criteria. Interventions were most commonly guided by self-developed or national guidelines, drug assessment scores, and lists of potentially inappropriate medications. Tools to identify underprescribing were less commonly used. Most frequently reported outcomes were quantitative drug-related measures; clinical outcomes such as falls, hospital admission, cognitive status, and neuropsychiatric symptom severity were reported less commonly. Reduction of polypharmacy and improvement of medication appropriateness were shown by most studies. CONCLUSIONS: Improvement of drug-related outcomes can be achieved by interventions such as individualized medication review and educational approaches in psychiatric settings and nursing homes. Changes in clinical outcomes, however, are often nonsubstantial and generally underreported. Patient selection and intervention procedures are highly heterogeneous. Future investigations should establish standards in intervention procedures, identify and assess patient-relevant outcome measures, and consider long-term follow-up assessments.

The association of matrix metalloproteinase 9 (MMP9) with hippocampal volume in schizophrenia: a preliminary MRI study.

Matrix metalloproteinases 9 (MMP9) are enzymes involved in regulating neuroplasticity in the hippocampus. This, combined with evidence for disrupted hippocampal structure and function in schizophrenia, has prompted our current investigation into the relationship between MMP9 and hippocampal volumes in schizophrenia. 34 healthy individuals (mean age = 32.50, male = 21, female = 13) and 30 subjects with schizophrenia (mean age = 33.07, male = 19, female = 11) underwent a blood draw and T1-weighted magnetic resonance imaging. The hippocampus was automatically segmented utilizing FreeSurfer. MMP9 plasma levels were measured with ELISA. ANCOVAs were conducted to compare MMP9 plasma levels (corrected for age and sex) and hippocampal volumes between groups (corrected for age, sex, total intracranial volume). Spearman correlations were utilized to investigate the relationship between symptoms, medication, duration of illness, number of episodes, and MMP9 plasma levels in patients. Last, we explored the correlation between MMP9 levels and hippocampal volumes in patients and healthy individuals separately. Patients displayed higher MMP9 plasma levels than healthy individuals (F(1, 60) = 21.19, p < 0.0001). MMP9 levels correlated with negative symptoms in patients (R = 0.39, p = 0.035), but not with medication, duration of illness, or the number of episodes. Further, patients had smaller left (F(1,59) = 9.12, p = 0.0040) and right (F(1,59) = 6.49, p = 0.013) hippocampal volumes. Finally, left (R = -0.39, p = 0.034) and right (R = -0.37, p = 0.046) hippocampal volumes correlated negatively with MMP9 plasma levels in patients. We observe higher MMP9 plasma levels in SCZ, associated with lower hippocampal volumes, suggesting involvement of MMP9 in the pathology of SCZ. Future studies are needed to investigate how MMP9 influences the pathology of SCZ over the lifespan, whether the observed associations are specific for schizophrenia, and if a therapeutic modulation of MMP9 promotes neuroprotective effects in SCZ.

Psychosocial Impact of COVID-19 Pandemic in Elderly Psychiatric Patients: a Longitudinal Study.

The study was designed to investigate the impact of the Coronavirus Disease 2019 (COVID-19) pandemic on mental health and perceived psychosocial support for elderly psychiatric patients in a longitudinal design. n = 32 patients with affective or anxiety disorders aged ≥60 years were included. Telephone interviews were conducted in April/May 2020 (T1) and August 2020 (T2). The psychosocial impact (PSI) of the pandemic and psychopathology were measured. Changes between T1 and T2 were examined. Patients' psychosocial support system six months before the pandemic and at T1/T2 was assessed. We found a significant positive correlation between general PSI and depression as well as severity of illness. General PSI differed significantly depending on social contact. Neither general PSI nor psychopathology changed significantly between T1 and T2. At T1, patients' psychosocial support systems were reduced as compared to six months before. Patients reported an increase in psychosocial support between T1 and T2 and high demand for additional support (sports, arts/occupational therapy, physiotherapy, psychotherapy). Elderly psychiatric patients show a negative PSI of the pandemic. They are likely to suffer from an impaired psychosocial situation, emphasizing the importance of developing concepts for sufficient psychosocial support during a pandemic.

Hemispheric differences in the duration of focal onset seizures.

OBJECTIVE: To assess hemispheric differences in the duration of focal onset seizures and its association with clinical and demographic factors. METHODS: A retrospective analysis was performed on adult patients with drug-resistant unifocal epilepsy, who underwent intracranial EEG recording between 01/2006 and 06/2016. Seizure duration was determined based on the subdural and/or stereo-EEG (sEEG) recordings. Hemispheric differences in seizure duration were statistically evaluated with regard to clinical and demographic data. RESULTS: In total, 69 patients and 654 focal onset seizures were included. The duration of seizures with left-hemispheric onset (n = 297) was by trend longer (91.88 ± 93.92 s) than of right-hemispheric seizures (n = 357; 71.03 ± 68.53 s; p = .193). Significant hemispheric differences in seizures duration were found in temporal lobe seizures (n = 225; p = .013), especially those with automotor manifestation (n = 156; p = .045). A prolonged duration was also found for left-hemispheric onset seizures with secondary generalized commencing during waking state (n = 225; p = .034), but not during sleep. A similar hemispheric difference in seizure duration was found in female patients (p = .040), but not in men. CONCLUSIONS: Hemispheric differences in seizure duration were revealed with significantly longer durations in case of left-hemispheric seizure onset. The observed differences in seizure duration might result from brain asymmetry and add new aspects to the understanding of seizure propagation and termination.

Who seizes longest? Impact of clinical and demographic factors.

OBJECTIVE: To investigate the impact of clinical and demographic parameters on the duration of focal onset seizures with and without secondary generalization using precise duration measurements from intracranial electroencephalographic (iEEG) recordings. METHODS: Patients with unifocal epilepsy syndromes and iEEG recording were retrospectively identified from the database of the local epilepsy center (2006-2016). Seizure duration was defined as time difference of iEEG seizure pattern onset and cessation. The seizure semiology was classified based on video recordings. Clinical and demographic data were extracted from patient reports. RESULTS: In total, 69 adults were included, and 654 focal onset seizures were analyzed. Focal to bilateral tonic-clonic seizures (FBTCSs; 98/654) were significantly longer than focal seizures (FSs) without generalization (FS-BTCs; 556/654, P < .001), and most FSs (545/654, 83.3%) terminated within 2 minutes. The duration of FSs was prolonged with increasing age of the patients (P = .003) and was significantly shortened (P < .001) by evolution into an FBTCS. FBTCSs with lateralizing semiologies like version (P = .015) and sign of four (P = .043) were associated with longer bilateral tonic-clonic manifestations. Furthermore, FBTCSs with preceding aura, frontal origin, or onset during sleep were by trend shorter. Age (P < .001) and disease duration (P = .028) were essential for prediction of FS-BTC duration, whereas the vigilance state (P = .085) was the main prediction factor for the duration of FBTCSs. SIGNIFICANCE: The identified modifiers of seizure duration are of great relevance for clinical risk evaluation, especially in the aging epilepsy patient suffering from temporal lobe epilepsy with secondary generalized seizures.