Cognitive and psychiatric symptoms have been increasingly reported after severe acute respiratory syndrome coronavirus 2 infection, developing soon after infection and possibly persisting for several months. We aimed to study this syndrome and start implementing strategies for its assessment.

Consecutive patients, referred by the infectious disease specialist because of cognitive complaints after COVID-19, were neurologically evaluated. Neurological evaluation included a cognitive screening test (Montreal Cognitive Assessment, MoCA). Moreover, patients were invited to fill out a general symptom questionnaire and a self-administered multidimensional assessment of psychiatric symptoms, followed by a full psychiatric assessment if scores were above validated cutoffs.

Of 144 referred patients, 101 (mean age 55.2±13.1, 63.4% females) completed the cognitive screening and the self-administered psychiatric questionnaire. Acute infection severity was low for most patients and the most common persisting symptoms were fatigue (92%), sleep problems (69.5%), and headache (52.4%). MoCA outlined cognitive deficits in ≥1 cognitive domain in 34% of patients, mainly in memory and attention. About 60% of patients presented depressive, anxiety, or stress-related symptoms. Psychiatric scale scores significantly correlated with overall symptom burden and MoCA score. No significant correlation was found between MoCA scores and overall symptom burden.

We hypothesize that persistent cognitive complaints after COVID-19 might reflect a concomitant or reactive psychopathological condition, possibly coupled with an infection-related impact on cognitive functions. The application of a combined neurological and psychiatric assessment seems crucial to appraise the nature of post-COVID-19 condition.

Cognitive and psychiatric symptoms are frequently reported after SARS-CoV-2 infection, but their interplay has been only partially explored. We investigated frequency and severity of psychiatric symptoms in patients with persistent cognitive complaints after COVID-19.

We conducted a cross-sectional study. Neurologists assessed 101 patients reporting cognitive symptoms after COVID-19. Patients were invited to fill a screening battery with self-reported psychometric scales (Depression Anxiety Stress Scales-21, Impact of Event Scale-Revised, Insomnia Severity Index). Patients scoring above validated cut-offs in ≥1 scale were referred to psychiatrists who administered the Mini-International Neuropsychiatric Interview (M.I.N.I.), Hamilton Anxiety (HAM-A), and Hamilton Depression (HAM-D) rating scales and asked to complete the Personality Inventory for DSM-5-Brief Form (PID-5-BF).

Out of the 57 referred patients, 38 (64.4%) accepted to undergo the psychiatric examination. Among these, 18 (47.4%) were diagnosed with adjustment disorder (23.7%), anxiety disorder (10.5%), major depressive disorder (7.9%), and post-traumatic stress disorder (2.6%). Pharmacologic treatment before post-COVID condition (present in 12 patients, 31.6%) was associated with a score above cut-off on the HAM-A and HAM-D scales. A longer duration of untreated psychiatric illness after COVID-19 was associated with worse scores on the same scales. Patients with a higher PID-5-BF total score had a higher probability of receiving a psychiatric diagnosis.

Almost half of patients with post-COVID-19 conditions reporting cognitive symptoms were found to suffer from a psychiatric condition after psychiatric evaluation. The application of a psychiatric screening in a population suffering from long-term effects of COVID-19 can lead to early diagnosis and timely treatment.

The COVID-19 pandemic impacted mental health across different groups, including healthcare workers (HWs). To date, few studies focused on potential positive aspects that may follow the exposure to the pandemic. We investigated the prevalence of posttraumatic stress disorder (PTSD) in Italian HWs and whether posttraumatic growth (PTG) dimensions affected the risk of suicidal ideation (SI) during the first COVID-19 wave.

An online self-report survey was conducted between April and May 2020. Sociodemographic data, information about COVID-19-related stressful events, Impact of the Event Scale-revised, and Post-Traumatic Growth Inventory-Short Form (PTGI-SF) scores were collected and compared between participants. Patient Health Questionnaire-9 scores were also collected to assess SI through item 9. Multivariate logistic regression was used to assess the relationship between PTGI and SI.

Among 948 HWs, 257 (27.0%) reported a provisional PTSD diagnosis. The median PTGI-SF score was 24. Participants reporting PTSD symptoms had higher scores in the Spiritual change, Appreciation of life, and New possibilities domains, and in the total PTG scale. A total of 100 HWs (10.8%) screened positive for SI. Improvements in Relating to others domain of PTGI-SF (odds ratioOR: .46; 95% confidence interval: .25–.85) were associated with lower odds of SI.

COVID-19 pandemic has been indicated as a risk factor for SI, also among HWs. PTG may have a protective role on suicide risk. Improvements in Relating to others domain reduced odds of SI, consistently with the role of loneliness and lack of connectedness with others in enhancing suicidal risk.

Limited studies have investigated cannabis use in patients with obsessive-compulsive disorder (OCD), despite its widespread use by patients with psychiatric illnesses. The aim of this study was to assess the frequency, correlates, and clinical impact of cannabis use in an Italian sample of patients with OCD.

Seventy consecutive outpatients with OCD were recruited from a tertiary specialized clinic. To assess cannabis-related variables, patients completed a questionnaire developed for the purpose of this study, investigating cannabis use-related habits and the influence of cannabis use on OCD symptoms and treatments. A set of clinician and self-reported questionnaires was administered to measure disease severity. The sample was then divided into three subgroups according to the pattern of cannabis use: “current users” (CUs), “past-users” (PUs), and “non-users” (NUs).

Approximately 42.8% of patients reported lifetime cannabis use and 14.3% reported current use. Approximately 10% of cannabis users reported an improvement in OCD symptoms secondary to cannabis use, while 23.3% reported an exacerbation of anxiety symptoms. CUs showed specific unfavorable clinical variables compared to PUs and NUs: a significant higher rate of lifetime use of tobacco, alcohol, and other substances, and a higher rate of pre-OCD onset comorbidities. Conversely, the three subgroups showed a similar severity of illness.

A considerable subgroup of patients with OCD showed a predisposition towards cannabis use and was associated with some specific clinical characteristics, suggesting the need for targeted consideration and interventions in this population.

Bipolar disorder (BD) and obsessive compulsive disorder (OCD) are prevalent, comorbid, and disabling conditions, often characterized by early onset and chronic course. When comorbid, OCD and BD can determine a more pernicious course of illness, posing therapeutic challenges for clinicians. Available reports on prevalence and clinical characteristics of comorbidity between BD and OCD showed mixed results, likely depending on the primary diagnosis of analyzed samples.

We assessed prevalence and clinical characteristics of BD comorbidity in a large international sample of patients with primary OCD (n = 401), through the International College of Obsessive–Compulsive Spectrum Disorders (ICOCS) snapshot database, by comparing OCD subjects with vs without BD comorbidity.

Among primary OCD patients, 6.2% showed comorbidity with BD. OCD patients with vs without BD comorbidity more frequently had a previous hospitalization (p < 0.001) and current augmentation therapies (p < 0.001). They also showed greater severity of OCD (p < 0.001), as measured by the Yale–Brown Obsessive Compulsive Scale (Y-BOCS).

These findings from a large international sample indicate that approximately 1 out of 16 patients with primary OCD may additionally have BD comorbidity along with other specific clinical characteristics, including more frequent previous hospitalizations, more complex therapeutic regimens, and a greater severity of OCD. Prospective international studies are needed to confirm our findings.

Psychiatric disorders are often considered the leading cause of violence. This may be due to a stereotype created by media and general opinion.

The Modified Overt Aggression Scale (MOAS) was used to evaluate the severity of aggressive and violent behaviors in 400 patients who attended a post-acute psychiatric service in Milan from 2014 to 2016 and suffered from different psychiatric disorders. The psychopathological clinical picture was evaluated by Clinical Global Impression (CGI). The study also assessed the possible correlation between epidemiologic and sociodemographic factors, clinical variables, and aggression and violence.

Of the total number of subjects, 21.50% showed a MOAS score >0, 11.50% presented mild aggression (0–10 MOAS weighted score), 9% moderate aggression (11–20), and 1% severe aggression (MOAS >20). With respect to violent behaviors, 16% of patients showed a score >0 in one MOAS subscale other than verbal aggression according to violence definition. The severity of clinical picture seemed to be related to higher weighted MOAS score. Multivariate testing of different sociodemographic and clinical variables showed that violence was related to unemployment status, and significantly correlated to compulsory admission (TSO), suicide attempts (TS), and personality disorders, while the severity of clinical psychiatric picture seemed to play a secondary role.

Results have shown that personality disorders and sociodemographic factors, including economic factors, seem to be major determinants of violence among patients diagnosed with mental disorders.