Response to lithium in patients with bipolar disorder is associated with clinical and transdiagnostic genetic factors. The predictive combination of these variables might help clinicians better predict which patients will respond to lithium treatment.

To use a combination of transdiagnostic genetic and clinical factors to predict lithium response in patients with bipolar disorder.

This study utilised genetic and clinical data (n = 1034) collected as part of the International Consortium on Lithium Genetics (ConLi+Gen) project. Polygenic risk scores (PRS) were computed for schizophrenia and major depressive disorder, and then combined with clinical variables using a cross-validated machine-learning regression approach. Unimodal, multimodal and genetically stratified models were trained and validated using ridge, elastic net and random forest regression on 692 patients with bipolar disorder from ten study sites using leave-site-out cross-validation. All models were then tested on an independent test set of 342 patients. The best performing models were then tested in a classification framework.

The best performing linear model explained 5.1% (P = 0.0001) of variance in lithium response and was composed of clinical variables, PRS variables and interaction terms between them. The best performing non-linear model used only clinical variables and explained 8.1% (P = 0.0001) of variance in lithium response. A priori genomic stratification improved non-linear model performance to 13.7% (P = 0.0001) and improved the binary classification of lithium response. This model stratified patients based on their meta-polygenic loadings for major depressive disorder and schizophrenia and was then trained using clinical data.

Using PRS to first stratify patients genetically and then train machine-learning models with clinical predictors led to large improvements in lithium response prediction. When used with other PRS and biological markers in the future this approach may help inform which patients are most likely to respond to lithium treatment.

Studying phenotypic and genetic characteristics of age at onset (AAO) and polarity at onset (PAO) in bipolar disorder can provide new insights into disease pathology and facilitate the development of screening tools.

To examine the genetic architecture of AAO and PAO and their association with bipolar disorder disease characteristics.

Genome-wide association studies (GWASs) and polygenic score (PGS) analyses of AAO (n = 12 977) and PAO (n = 6773) were conducted in patients with bipolar disorder from 34 cohorts and a replication sample (n = 2237). The association of onset with disease characteristics was investigated in two of these cohorts.

Earlier AAO was associated with a higher probability of psychotic symptoms, suicidality, lower educational attainment, not living together and fewer episodes. Depressive onset correlated with suicidality and manic onset correlated with delusions and manic episodes. Systematic differences in AAO between cohorts and continents of origin were observed. This was also reflected in single-nucleotide variant-based heritability estimates, with higher heritabilities for stricter onset definitions. Increased PGS for autism spectrum disorder (β = −0.34 years, s.e. = 0.08), major depression (β = −0.34 years, s.e. = 0.08), schizophrenia (β = −0.39 years, s.e. = 0.08), and educational attainment (β = −0.31 years, s.e. = 0.08) were associated with an earlier AAO. The AAO GWAS identified one significant locus, but this finding did not replicate. Neither GWAS nor PGS analyses yielded significant associations with PAO.

AAO and PAO are associated with indicators of bipolar disorder severity. Individuals with an earlier onset show an increased polygenic liability for a broad spectrum of psychiatric traits. Systematic differences in AAO across cohorts, continents and phenotype definitions introduce significant heterogeneity, affecting analyses.

We summarize some of the past year's most important findings within climate change-related research. New research has improved our understanding about the remaining options to achieve the Paris Agreement goals, through overcoming political barriers to carbon pricing, taking into account non-CO2 factors, a well-designed implementation of demand-side and nature-based solutions, resilience building of ecosystems and the recognition that climate change mitigation costs can be justified by benefits to the health of humans and nature alone. We consider new insights about what to expect if we fail to include a new dimension of fire extremes and the prospect of cascading climate tipping elements.

A synthesis is made of 10 topics within climate research, where there have been significant advances since January 2020. The insights are based on input from an international open call with broad disciplinary scope. Findings include: (1) the options to still keep global warming below 1.5 °C; (2) the impact of non-CO2 factors in global warming; (3) a new dimension of fire extremes forced by climate change; (4) the increasing pressure on interconnected climate tipping elements; (5) the dimensions of climate justice; (6) political challenges impeding the effectiveness of carbon pricing; (7) demand-side solutions as vehicles of climate mitigation; (8) the potentials and caveats of nature-based solutions; (9) how building resilience of marine ecosystems is possible; and (10) that the costs of climate change mitigation policies can be more than justified by the benefits to the health of humans and nature.

How do we limit global warming to 1.5 °C and why is it crucial? See highlights of latest climate science.

Compulsory admission procedures of patients with mental disorders vary between countries in Europe. The Ethics Committee of the European Psychiatric Association (EPA) launched a survey on involuntary admission procedures of patients with mental disorders in 40 countries to gather information from all National Psychiatric Associations that are members of the EPA to develop recommendations for improving involuntary admission processes and promote voluntary care.

The survey focused on legislation of involuntary admissions and key actors involved in the admission procedure as well as most common reasons for involuntary admissions.

We analyzed the survey categorical data in themes, which highlight that both medical and legal actors are involved in involuntary admission procedures.

We conclude that legal reasons for compulsory admission should be reworded in order to remove stigmatization of the patient, that raising awareness about involuntary admission procedures and patient rights with both patients and family advocacy groups is paramount, that communication about procedures should be widely available in lay-language for the general population, and that training sessions and guidance should be available for legal and medical practitioners. Finally, people working in the field need to be constantly aware about the ethical challenges surrounding compulsory admissions.

To describe the pattern of transmission of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) during 2 nosocomial outbreaks of coronavirus disease 2019 (COVID-19) with regard to the possibility of airborne transmission.

Contact investigations with active case finding were used to assess the pattern of spread from 2 COVID-19 index patients.

A community hospital and university medical center in the United States, in February and March, 2020, early in the COVID-19 pandemic.

Two index patients and 421 exposed healthcare workers.

Exposed healthcare workers (HCWs) were identified by analyzing the electronic medical record (EMR) and conducting active case finding in combination with structured interviews. Healthcare coworkers (HCWs) were tested for COVID-19 by obtaining oropharyngeal/nasopharyngeal specimens, and RT-PCR testing was used to detect SARS-CoV-2.

Two separate index patients were admitted in February and March 2020, without initial suspicion for COVID-19 and without contact or droplet precautions in place; both patients underwent several aerosol-generating procedures in this context. In total, 421 HCWs were exposed in total, and the results of the case contact investigations identified 8 secondary infections in HCWs. In all 8 cases, the HCWs had close contact with the index patients without sufficient personal protective equipment. Importantly, despite multiple aerosol-generating procedures, there was no evidence of airborne transmission.

These observations suggest that, at least in a healthcare setting, most SARS-CoV-2 transmission is likely to take place during close contact with infected patients through respiratory droplets, rather than by long-distance airborne transmission.

To assess the utility of an automated, statistically-based outbreak detection system to identify clusters of hospital-acquired microorganisms.

Multicenter retrospective cohort study.

The study included 43 hospitals using a common infection prevention surveillance system.

A space–time permutation scan statistic was applied to hospital microbiology, admission, discharge, and transfer data to identify clustering of microorganisms within hospital locations and services. Infection preventionists were asked to rate the importance of each cluster. A convenience sample of 10 hospitals also provided information about clusters previously identified through their usual surveillance methods.

We identified 230 clusters in 43 hospitals involving Gram-positive and -negative bacteria and fungi. Half of the clusters progressed after initial detection, suggesting that early detection could trigger interventions to curtail further spread. Infection preventionists reported that they would have wanted to be alerted about 81% of these clusters. Factors associated with clusters judged to be moderately or highly concerning included high statistical significance, large size, and clusters involving Clostridioides difficile or multidrug-resistant organisms. Based on comparison data provided by the convenience sample of hospitals, only 9 (18%) of 51 clusters detected by usual surveillance met statistical significance, and of the 70 clusters not previously detected, 58 (83%) involved organisms not routinely targeted by the hospitals’ surveillance programs. All infection prevention programs felt that an automated outbreak detection tool would improve their ability to detect outbreaks and streamline their work.

Automated, statistically-based outbreak detection can increase the consistency, scope, and comprehensiveness of detecting hospital-associated transmission.

Depersonalization (DP) is a common and complex clinical phenomenon in neurology and psychiatry. It is defined as an experience in which the individual feels a sense of unreality and detachment from him/herself. Prevalence and clinical correlates of dissociative symptoms in general, and DP in particular have been associated to panic disorder (Hunter et al., 2004). Moreover, DP has been associated with certain personality traits, specifically “harm-avoidant” temperament dimension, immature defenses, and overconnection and disconnection cognitive schemata (Simeon et al., 2002).

To investigate the prevalence of DP syndrome in panic disorder and its relationship with personality.

One-hundred-four consecutive adult patients with panic disorder were assessed with the Semi- Structured Clinical Interview for DSM-IV-Axis I and II. All participants were evaluated with the Cambridge Depersonalization Scale (Sierra and Berrios, 2000) and the Cloninger Temperament and Character Inventory. The severity of panic disorder was measured with the Panic and Agoraphobia Scale.

Seventeen patients (16.3%) had a DP syndrome. There were not socio-demographic differences between both groups with and without DP syndrome. Patients with DP syndrome showed a higher score in “self-transcendence” character dimension (p< .001), higher prevalence of personality disorders (p=.007) and greater severity of panic disorder (p=.007). A logistic regression analysis showed that severity of panic disorder (p=.031) and higher “self-transcendence” personality dimension (p=.019) predicts DP syndrome in panic disorder patients. The Hosmer-Lemeshow test showed the goodness-of-fit of the model.

The study confirms the association of DP syndrome with panic disorder and their relationship with “self-transcendence” personality dimension.

Depressive disorders (DD) in adolescence are often misdiagnosed and under-recognised. A major clinical problem regards the high rate of co-morbidity with other disorders, namely substance abuse. The aim of this study was to assess the discriminative power of the Beck Depression Inventory II (BDI-II) to characterise specific social–demographic variables related to DD in adolescence.

A Portuguese version of the BDI-II and a social–demographic questionnaire were administered to 775 Portuguese adolescents (312 males, 463 females; mean age: 16.9 years); 83 adolescents performed a clinical interview following DSM-IV criteria.

Mean BDI-II Portuguese version (BDI-II-P) total score was 10.31 (standard deviation: 8.4), with females reporting more depressive symptoms than males (P < 0.001). Low academic achievement, sleep disturbances, and alcohol consumption were consistently associated with depressive symptoms for both genders. Higher tobacco consumption was significantly associated with depressive symptoms in females. Familial factors did not appear to be associated with depressive symptoms in males. However, a higher frequency of siblings, having separated parents as well as a more extreme perception of the mother's educational style were consistently associated with depressive symptoms in females.

The BDI-II-P showed discriminative power to characterise social–demographic variables related to DD especially in adolescent females.

Dhat syndrome is a widely recognized clinical condition from the Indian subcontinent characterized by a preoccupation with semen loss in urine and other symptoms such as fatigue or depressed mood. This condition has been considered to be a culture-bound syndrome, and may be considered to be a culturally manifestation of depression or anxiety.

The purpose of this paper was to perform a systematic review of published literature on Dhat syndrome.

A review of the literature on Dhat syndrome until July 2008, without any language restriction was conducted by a search of the MEDLINE and PsycLIT indexing services using the following key words:Dhat syndrome, semen loss anxiety and loss of semen syndrome. Inclusion criteria were any case-control or cross-over study.

Twenty-three studies were identified, of which 10 met the inclusion criteria. There were 8 cross-over and 2 case-control studies. The reviewed studies included a total number of 680 cases and 93 controls. Patients included in these studies were mostly unmarried, young males (25.4 years old;18-45 years) from a poor socio-economic status. Majority of the studies involved patients from the Indian subcontinent. Some studies reported concomitant depressive symptoms (50%), anxiety (40%), fatigue (30%) and sexual problems (40%). Only 4 studies reported information about treatment (psychotherapy and pharmacotherapy).

There was a high degree of heterogeneity among the studies reviewed. In conclusion, Dhat syndrome appears to be commonly associated with depression, anxiety and somatic symptoms. More studies are warranted related to the various treatment approaches for this condition.

There is a lack of accurate screening tools for suicide risk in the patients presenting to emergency departments. The Personality and Life Event (PLE) Scale, a set of the 27 most discriminative items from a collection of questionnaires usually employed in the assessment of suicidal behavior, demostrated an elevated accuracy, sensibility, and specificity in classifying suicide attempters.

To validate the self-administered PLE Scale.

In order to examine its psychometric properties, the PLE scale was administered to 59 suicide attempters, 48 psychiatric controls, and 69 medical patients attending the Puerta de Hierro emergency department. To examine its reliability, we used: 1) Cronbach's coefficient α to evaluate the internal consistency; 2) test-retest reliability to assess if the scale is stable over time. Interrater reliability is not relevant as the PLE is a self-report. To assess its construct validity, we used some of Beck's Suicide Intent Scale (SIS). All analyses were carried out using SPSS v.20 (Macintosh).

The most frequent criteria for suicide attempters were item 4 (‘I often feel empty inside’; 88.1%) and 20 (‘I act on impulse’; 79,7%). Mean (± SD) of the PLE Scale in suicide attempters, psychiatric controls, and medical controls was 74.49 (± 32.44), 57.19 (± 29.63), and 17.48 (± 21.15), respectively. The PLE had an acceptable internal consistency (Cronbach's alpha =0,674).

Our preliminary findings support the reliability, construct validity, and ussefulness of the PLE to identify suicide attempters to those attending to emergency departments.