We identify a set of essential recent advances in climate change research with high policy relevance, across natural and social sciences: (1) looming inevitability and implications of overshooting the 1.5°C warming limit, (2) urgent need for a rapid and managed fossil fuel phase-out, (3) challenges for scaling carbon dioxide removal, (4) uncertainties regarding the future contribution of natural carbon sinks, (5) intertwinedness of the crises of biodiversity loss and climate change, (6) compound events, (7) mountain glacier loss, (8) human immobility in the face of climate risks, (9) adaptation justice, and (10) just transitions in food systems.

The Intergovernmental Panel on Climate Change Assessment Reports provides the scientific foundation for international climate negotiations and constitutes an unmatched resource for researchers. However, the assessment cycles take multiple years. As a contribution to cross- and interdisciplinary understanding of climate change across diverse research communities, we have streamlined an annual process to identify and synthesize significant research advances. We collected input from experts on various fields using an online questionnaire and prioritized a set of 10 key research insights with high policy relevance. This year, we focus on: (1) the looming overshoot of the 1.5°C warming limit, (2) the urgency of fossil fuel phase-out, (3) challenges to scale-up carbon dioxide removal, (4) uncertainties regarding future natural carbon sinks, (5) the need for joint governance of biodiversity loss and climate change, (6) advances in understanding compound events, (7) accelerated mountain glacier loss, (8) human immobility amidst climate risks, (9) adaptation justice, and (10) just transitions in food systems. We present a succinct account of these insights, reflect on their policy implications, and offer an integrated set of policy-relevant messages. This science synthesis and science communication effort is also the basis for a policy report contributing to elevate climate science every year in time for the United Nations Climate Change Conference.

We highlight recent and policy-relevant advances in climate change research – with input from more than 200 experts.

Having a family member admitted in Intensive Care Unit (ICU) can cause a severe psychological stress, and various psychological disorders gathered into the notion of Post intensive care syndrome-family (PICS-F). In this way, Family-centered care in ICU represents the aim of international accepted recommendations focusing on a partnership approach to health care decision-making between the family and health care provider to prevent PICS-F. During the first SARS-CoV-2 linked lockdown, social restrictions impaired the right application of these recommendations, increasing risk of PICS-F, particularly Post-Traumatic Stress Disorder (PTSD).

The main objective was to compare the PTSD prevalence at 6 months in a group of relatives including during OLAF implementation with a control group in a cohort of ICU-patient relatives.

Considering this, the psychiatric team and the ICU team of the Toulouse University, France, proposed the creation of a temporary device called OLAF (Opération de Liaison et d’Aide aux Familles in French), aiming to bring a psychological phone support to ICU-patient relatives. Besides this operational approach we designed a research approach that aimed to investigate the impact of OLAF device on PICS-F.

We noted that 12 participants (11.5 %) presented a PTSD at 6 months without statistically significant differences between the groups (p=0.8). Considering that OLAF group presented higher PDI (Peritraumatric Distress Inventory) score at screening we also considered a mediation model suggesting that OLAF could have played a role to diminish the PCL-5 score as a covariable. In the multinomial logistic regression analysis, we found that the only factor associated with the PTSD diagnosis was the level of Anxiety and Depression Signs measured with HADS (Hospital Anxiety and Depression Scale) at screening (OR= 1.2, p<0.001).

We found no difference in PTSD prevalence according to OLAF intervention. Nevertheless, our result suggested that the intervention could have play a role in reducing PTSD by acting on anxiety and peri traumatic distress in a mediated model. We found that anxiety score could serve as a risk marker to predict PTSD and should probably be precociously screened and treated in this population.

None Declared

A standardised multi-site approach to manage paediatric post-operative chylothorax does not exist and leads to unnecessary practice variation. The Chylothorax Work Group utilised the Pediatric Critical Care Consortium infrastructure to address this gap.

Over 60 multi-disciplinary providers representing 22 centres convened virtually as a quality initiative to develop an algorithm to manage paediatric post-operative chylothorax. Agreement was objectively quantified for each recommendation in the algorithm by utilising an anonymous survey. “Consensus” was defined as ≥ 80% of responses as “agree” or “strongly agree” to a recommendation. In order to determine if the algorithm recommendations would be correctly interpreted in the clinical environment, we developed ex vivo simulations and surveyed patients who developed the algorithm and patients who did not.

The algorithm is intended for all children (<18 years of age) within 30 days of cardiac surgery. It contains rationale for 11 central chylothorax management recommendations; diagnostic criteria and evaluation, trial of fat-modified diet, stratification by volume of daily output, timing of first-line medical therapy for “low” and “high” volume patients, and timing and duration of fat-modified diet. All recommendations achieved “consensus” (agreement >80%) by the workgroup (range 81–100%). Ex vivo simulations demonstrated good understanding by developers (range 94–100%) and non-developers (73%–100%).

The quality improvement effort represents the first multi-site algorithm for the management of paediatric post-operative chylothorax. The algorithm includes transparent and objective measures of agreement and understanding. Agreement to the algorithm recommendations was >80%, and overall understanding was 94%.

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.

Coronary artery aneurysms are well-described in Kawasaki disease and the Multisystem Inflammatory Syndrome in Children and are graded using Z scores. Three Z score systems (Boston, Montreal, and DC) are widely used in North America. The recent Pediatric Heart Network Z score system is derived from the largest diverse sample to-date. The impact of Z score system on the rate of coronary dilation and management was assessed in a large real-world dataset.

Using a combined dataset of patients with acute Kawasaki disease from the Children’s Hospital at Montefiore and the National Heart, Lung, and Blood Institute Kawasaki Disease Study, coronary Z scores and the rate of coronary lesions (Z ≥ 2.0) and aneurysms (Z ≥ 2.5) were determined using four Z score systems. Agreement among Z scores and the effect on Kawasaki management were assessed.

Of 333 patients analysed, 136 were from Montefiore and 197 from the Kawasaki Disease Study. Age, sex, body surface area, and rate of coronary lesions did not differ between the samples. Among the four Z score systems, the rate of acute coronary lesions varied from 24 to 55%. The mean left anterior descending Z scores from Pediatric Heart Network and Boston had a large uniform discrepancy of 1.3. Differences in Z scores among the four systems may change anticoagulation management in up to 22% of a Kawasaki population.

Choice of Z score system alone may impact Kawasaki disease diagnosis and management. Further research is necessary to determine the ideal coronary Z score system.

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.

On May 11, the Dutch Government allowed 26 nursing homes to welcome 1 visitor per resident, after 2 months of lockdown. The study aimed to monitor in-depth the feasibility of the regulations and their impact on the well-being of residents, their visitors, and healthcare staff.

Mixed-methods study in 5 of the 26 facilities; the facilities were affiliated to an academic network of nursing homes.

Visitors and healthcare professionals.

Allowing visitors using local regulations based on national guidelines.

Digital questionnaire, analyzing documentation such as infection prevention control protocols, attending meetings of COVID-19 crisis teams, in-depth telephone or in-person interviews with visitors and healthcare professionals, and on-site observations.

National guidelines were translated with great variety into local care practice. Healthcare professionals agreed that reopening would increase the well-being of the residents and their loved ones. However, there were also great worries for increasing workload, increasing the risk of emotional exhaustion, and the risk of COVID-19 infections. Compliance with local regulations was generally satisfactory, but maintaining social distance and correctly wearing face masks appeared to be difficult. Care staff remained ambivalent for fear of infections. In general, allowing visitors was experienced as having a positive impact on the well-being of all stakeholders. Nevertheless, some residents with dementia showed negative effects.

The complete lockdown of Dutch nursing homes had a substantial impact on the well-being of the residents. The reopening was welcomed by all stakeholders, but provided a high organizational workload as well as feelings of ambivalence among care staff. In the second wave, a more tailored approach is being implemented. However, facilities are sometimes still struggling to find the right balance between infection control and well-being.