Association between COVID-19 and catatonia manifestation in two adolescents in Central Asia: Incidental findings or cause for alarm?

Evidence-based consensus guidelines for the management of catatonia: Recommendations from the British Association for Psychopharmacology

The British Association for Psychopharmacology developed an evidence-based consensus guideline on the management of catatonia. A group of international experts from a wide range of disciplines was assembled. Evidence was gathered from existing systematic reviews and the primary literature. Recommendations were made on the basis of this evidence and were graded in terms of their strength. The guideline initially covers the diagnosis, aetiology, clinical features and descriptive epidemiology of catatonia. Clinical assessments, including history, physical examination and investigations are then considered. Treatment with benzodiazepines, electroconvulsive therapy and other pharmacological and neuromodulatory therapies is covered. Special regard is given to periodic catatonia, malignant catatonia, neuroleptic malignant syndrome and antipsychotic-induced catatonia. There is attention to the needs of particular groups, namely children and adolescents, older adults, women in the perinatal period, people with autism spectrum disorder and those with certain medical conditions. Clinical trials were uncommon, and the recommendations in this guideline are mainly informed by small observational studies, case series and case reports, which highlights the need for randomised controlled trials and prospective cohort studies in this area.

The effect of different degrees of lockdown and self-identified gender on anxiety, depression and suicidality during the COVID-19 pandemic: Data from the international COMET-G study

INTRODUCTION

During the COVID-19 pandemic various degrees of lockdown were applied by countries around the world. It is considered that such measures have an adverse effect on mental health but the relationship of measure intensity with the mental health effect has not been thoroughly studied. Here we report data from the larger COMET-G study pertaining to this question.

MATERIAL AND METHODS

During the COVID-19 pandemic, data were gathered with an online questionnaire from 55,589 participants from 40 countries (64.85% females aged 35.80 ± 13.61; 34.05% males aged 34.90±13.29 and 1.10% other aged 31.64±13.15). Anxiety was measured with the STAI, depression with the CES-D and suicidality with the RASS. Distress and probable depression were identified with the use of a previously developed cut-off and algorithm respectively.

STATISTICAL ANALYSIS

It included the calculation of Relative Risk (RR), Factorial ANOVA and Multiple backwards stepwise linear regression analysis RESULTS: Approximately two-thirds were currently living under significant restrictions due to lockdown. For both males and females the risk to develop clinical depression correlated significantly with each and every level of increasing lockdown degree (RR 1.72 and 1.90 respectively). The combined lockdown and psychiatric history increased RR to 6.88 The overall relationship of lockdown with severity of depression, though significant was small.

CONCLUSIONS

The current study is the first which reports an almost linear relationship between lockdown degree and effect in mental health. Our findings, support previous suggestions concerning the need for a proactive targeted intervention to protect mental health more specifically in vulnerable groups.

Modeling Suicidality Risks and Understanding the Phenomenon of Suicidality Under the Loupe of Pandemic Context: National Findings of the COMET-G Study in the Russian Population

BACKGROUND

Suicidality is a complex clinical phenomenon reflecting vulnerability to suicidal behavior which can be explained via the biopsychosocial paradigm and in relationship with a variety of country-specific factors. Data on suicides within the Russian population are inconsistent (from 11.7 up to 25.1 per 100.000), whereas the population's suicidality risks have not been investigated in detail. Suicidality estimates during the multifactorial influence of the COVID-19 pandemic could serve as a basis to learn more about this mental health indicator.

METHODS

The current study is a part of the COMET-G international project (40 countries, n=55.589), which represents an analysis of data collected from Russia's general population (n=7714, 33±12 y.o., 61% female) to estimate suicidality using the Risk Assessment Suicidality Scale (RASS) and its relationships with socio-demographic, clinical, and life-habit characteristics during the COVID-19 pandemic. The evaluation of the statistical data (descriptive statistics, ANOVA, LASSO linear regression, significant at α=0.05) was undertaken using TIBCO Statistica.

RESULTS

According to the RASS, at least 20.68%, and up to 29.15%, of the general population in Russia demonstrated increased risk of suicidality during the pandemic. Modelling these risks pointed to the key vulnerabilities related to mental and behavioral disorders, such as (i) current severe depression and a history of mental disorders, (ii) bipolar disorder, (iii) use of illicit drugs surprisingly outranking the alcohol misuse, and psychiatric compounds (hypnotics), highlighting sleep quality deterioration, (iv) a history of suicide attempts and self-harm - though not self-reported changes in depression - in response were predictors of the risk of suicidality, which can be explained by the phenomenon of "learned suicidality", a habitual behavioral suicidality pattern completion accumulated over the background. Such (v) socio-demographic indicators as younger age (disregarding the gender factor), a marital status of single, having no children, living with fewer people in the household, a recent increase in family conflicts, increased need for emotional support, decreased need for communication, and not believing in precautionary measures against COVID-19, contributed to the increase of suicidality risk in the context of the pandemic.

CONCLUSIONS

The findings of this study revealed new suicide risk factors that should be taken into account in suicidality risk assessments for the Russian population and in the implementation of suicide prevention programs in the region.

Catatonia after COVID-19 infection: scoping review

AIMS AND METHOD

Catatonia has been increasingly described in cases of COVID-19; we therefore aimed to investigate the evidence for catatonia in patients with COVID-19. We searched PubMed, EMBASE, PsycINFO, BIN and CINAHL databases for articles published in English, from the initial descriptions of the COVID-19 pandemic to January 2022.

RESULTS

A total 204 studies were identified, 27 (13%) of which met the inclusion criteria. The evidence available was based on case reports. The articles included in this review identified a total of 42 patients, ranging from the ages of 12 to ≥70 years, with confirmed or possible catatonia during or after a COVID-19 infection.

CLINICAL IMPLICATIONS

This review provides valuable information to clinicians in medical practice for treating patients with COVID-19, and a foundation for further research for this uncommon syndrome of COVID-19.

Suicidality Related to the COVID-19 Lockdown in Romania: Structural Equation Modeling

Background

Suicidality is a serious public health concern at a global scale. Suicide itself is considered to be preventable death; worldwide, suicide rates and their trends are under constant scrutiny. As part of the international COMET-G cross-sectional study, we conducted a national level investigation to examine the individual disturbances (such as anxiety, depression, or history of life-threatening attempts) and contextual factors (such as adherence to conspiracy theories or Internet use) associated with suicidality related to the COVID-19 lockdown in a lot of Romanian adults.

Participants and Methods

One thousand four hundred and forty-six adults responded to an anonymous on-line questionnaire, with mean age ± standard deviation of 47.03 ± 14.21 years (1,142 females, 292 males, 12 identified themselves as non-binary). Data were analyzed using descriptive statistics and structural equation modeling (SEM).

Results

Univariate analysis showed strong significant correlation between anxiety and depression scorings among the respondents (Spearman R = 0.776, p < 0.001). Both the suicidality scorings and the Internet use correlated fairly with anxiety and depression, with two-by-two Spearman coefficients between R = 0.334 and R = 0.370 (p < 0.001 for each). SEM analysis substantiated the emotional disturbances, previous life-threatening attempts, and younger age as significant predictors for suicidality. The patterns of reality reading (including religious inquiries, Internet use, and beliefs in conspiracy theories) did not reach the statistical significance as influential factors in the suicidality of these respondents. There was no covariance between the Internet use and belief in conspiracy theories.

Conclusion

The study confirmed the suicidality risk initially hypothesized as being associated with the history of life-threatening attempts, increased depression within the younger population, and higher anxiety during the first year of the COVID-19 pandemic and its related lockdown. National strategies for effective interventions at various levels of the healthcare system should be developed.

Mental State of Inpatients With COVID-19: A Computational Psychiatry Approach

BACKGROUND

The overload of healthcare systems around the world and the danger of infection have limited the ability of researchers to obtain sufficient and reliable data on psychopathology in hospitalized patients with coronavirus disease 2019 (COVID-19). The relationship between severe acute respiratory syndrome with the coronavirus 2 (SARS-CoV-2) infection and specific mental disturbances remains poorly understood.

AIM

To reveal the possibility of identifying the typology and frequency of psychiatric syndromes associated with acute COVID-19 using cluster analysis of discrete psychopathological phenomena.

MATERIALS AND METHODS

Descriptive data on the mental state of 55 inpatients with COVID-19 were obtained by young-career physicians. Classification of observed clinical phenomena was performed with k-means cluster analysis of variables coded from the main psychopathological symptoms. Dispersion analysis with p level 0.05 was used to reveal the clusters differences in demography, parameters of inflammation, and respiration function collected on the basis of the original medical records.

RESULTS

Three resulting clusters of patients were identified: (1) persons with anxiety; disorders of fluency and tempo of thinking, mood, attention, and motor-volitional sphere; reduced insight; and pessimistic plans for the future (n = 11); (2) persons without psychopathology (n = 37); and (3) persons with disorientation; disorders of memory, attention, fluency, and tempo of thinking; and reduced insight (n = 7). The development of a certain type of impaired mental state was specifically associated with the following: age, lung lesions according to computed tomography, saturation, respiratory rate, C-reactive protein level, and platelet count.

CONCLUSION

Anxiety and/or mood disturbances with psychomotor retardation as well as symptoms of impaired consciousness, memory, and insight may be considered as neuropsychiatric manifestations of COVID-19 and should be used for clinical risk assessment.

A case of catatonia in the aftermath of the COVID-19 pandemic: does autism spectrum matter?

BACKGROUND

There is growing concern about the psychopathological consequences of the COVID-19 pandemic. The prolonged stress due to the spreading fear of the contagion and to the enforced containment measures are deemed to trigger recurrences of preexisting mental disorders as well as the onset of new ones. From such perspective, clinical cases may be of primary ground to identify individual features and pandemic-related factors predisposing to the development of serious psychiatric symptoms.

CASE PRESENTATION

Mr. R. is a 64-year-old, married, unemployed man, whose premorbid personality was characterized by relevant autistic traits. The patient developed catatonia in the context of the COVID-19 pandemic. We aimed at discussing the role of both preexisting and precipitating factors.

CONCLUSIONS

Autism spectrum could represent a predisposing factor for severe psychopathological outcome and catatonia. Furthermore, the present clinical case highlights the role of COVID-19 pandemic in influencing physical and mental health.