Search

Abstract Background Virtual care centres (VCCs) are novel wards of hospitals and facilitate the provision of remote monitoring and home-based patient care. Whereas since the COVID-19 pandemic VCCs have rapidly emerged, there is no standardised framework for the development and implementation of VCCs. To develop such a framework, insight in current experiences of employment in VCCs is needed. Therefore, the aim of this study was to explore nurses' perceptions and experiences of working in VCCs. Results Between February and July 2023, semi-structured online interviews were conducted with thirteen nurses (age 45 ± 8 years) from four VCCs in the Netherlands. Interviews were thematically analysed using a six-stage approach, yielding six themes of nurses’ perceptions and experiences of working in VCCs: 1)' Changing role of nurses', especially in the patient-professional relationship, transformation of care and communication; 2)’Clinical perspective of nurses’, need for general medical knowledge and use of data in relation to nurses’ clinical perspective, 3)‘Education and training’, need to keep nurses’ knowledge up-to-date and create time for education; 4)'Organisation of care', nurses’ role in the development of protocols and need for sufficient technological preconditions; 5)‘Cooperation with other healthcare professionals’, consisted of the collaboration with and needed support by other healthcare professionals to organize and provide care to VCC patients; 6)'Experienced effects of VCCs' included advantages and disadvantages of VCCs for the nurses, patients and the hospital. Themes were mapped onto the Capability, Opportunity and Motivation of Behaviour (COM-B) model where all themes included components of capability, opportunity and motivation. Conclusions Our findings highlight the importance of considering COM-B components of nurses' work in VCCs. Due to the changing roles of nurses in VCCs, there are evolving educational needs in to communicate with patients and colleagues, and the use of data to support their clinical view, as well as providing technological optimisations to further support nurses' work and the VCCs.

Introduction: Patients' adherence is essential for COPD self-management, as beneficial effects can only be expected in adherent patients. We explored associations between patients’ adherence to COPD exacerbation action plans and health outcomes. Materials and methods: Pooled COPD self-treatment intervention group data from two RCTs were analysed, only including patients who had ≥1 COPD exacerbation or started ≥1 course of oral corticosteroids over one-year follow-up. Optimal adherence was defined as ‘self-treatment initiated ≤1 day before or after exacerbation start’, suboptimal adherence as ‘self-treatment initiated 2 days before or after exacerbation start or no self-treatment initiated for a short (1–3 days) exacerbation’, and significant delay or no treatment as ‘self-treatment initiated >2 days after exacerbation start or no self-treatment initiated for a longer (>3 days) exacerbation’. Regression models were built for several health outcomes, with the number of COPD exacerbation days/patient/year being the primary outcome. Results: Patients with significant delay or no treatment (n = 46) had more exacerbation days/patient/year (33.3 (95 % CI 10.9; 55.6)) than optimal adherent patients (n = 38) (23.7 (95 % CI 1.7; 45.7)). The duration per COPD exacerbation was longer for patients with significant delay or no treatment (15.5 days) compared to optimal adherent patients (7.8 days). No differences in health outcomes were observed between optimal and suboptimal adherent patients. Conclusions: Being adherent to action plans is associated with better health outcomes than significant delayed treatment or no treatment at all. Interestingly, suboptimal adherence demonstrated health benefits comparable to optimal adherence. COPD self-management interventions should prioritise strategies to optimise patients’ adherence to action plans.

Background: Prolonged grief disorder (PGD) has been added to the ICD-11 and DSM-5-TR. The Traumatic Grief Inventory-Self Report Plus (TGI-SR+) assesses self-rated PGD intensity as defined in ICD-11 and DSM-5-TR. The TGI-SR + is available in multiple languages, but has not been validated yet in Norwegian.Objective: The aim of this study was to evaluate the psychometric properties of the Norwegian TGI-SR + .Method: Bereaved adults (N = 307) whose child or sibling died ≥6 months ago due to a sudden or violent loss completed the TGI-SR + and measures for posttraumatic stress, depression, and precursor PGD symptoms. We examined the factor structure and internal consistency of the ICD-11 and DSM-5-TR PGD items. Convergent validity and known-groups validity was evaluated. Probable PGD cases, pair-wise agreement between diagnostic scoring rules for both PGD criteria-sets, and cut-off scores were calculated.Results: The 1-factor model for ICD-11 and DSM-5-TR PGD showed the best fit and demonstrated good internal consistency. Convergent validity was supported by strong associations between summed ICD-11 and DSM-5-TR PGD scores and summed posttraumatic stress, depression, and precursor prolonged grief scores. Known-groups validity was supported by PGD intensity being related to educational level and time since loss. The perfect pair-wise agreement was reached using the ICD-11 and DSM-5-TR PGD diagnostic scoring rules. The optimal cut-off score for detecting probable PGD cases, when summing all TGI-SR + items, was ≥73.Conclusions: The Norwegian TGI-SR + seems a valid and reliable instrument to assess ICD-11 and DSM-5-TR PGD intensity after losing a child or sibling under traumatic circumstances.

Background: Firefighters face regular exposure to potentially traumatic events, which is associated with the development of post-traumatic stress disorder (PTSD) and depression. Despite the high comorbidity, there remains limited understanding of the co-occurrence of PTSD and depression in terms of symptom patterns. Due to the unique stressors added by the COVID-19 pandemic, it is relevant to also understand this comorbidity in light of the impact of the COVID-19 pandemic.Objective: This study aimed to identify PTSD and depression symptom profiles in firefighters, and correlates thereof, using latent profile analysis (LPA).Method: 139 Dutch Firefighters (93% male) completed self-report surveys prior to the COVID-19 pandemic (T1) and after the outbreak COVID-19 pandemic (T2) on PTSD, depression, COVID-19 related stressors and other relevant correlates.Results: LPA demonstrated the best fit for a three-profile solution for PTSD and depression at T2 encompassing a low symptom profile (35%), a moderate symptom profile (46%), and an elevated symptom profile (19%). Profiles displayed mostly below clinical range scores for both PTSD and depression at T2. PTSD severity at T1, depression severity at T1, loneliness at T2, COVID-19-related stressors at T2 were significantly and positively related to PTSD and depression symptom profiles at T2.Conclusion: Our results shed light on the resilience of firefighters. Even in light of COVID-19 pandemic, firefighters seemed to maintain generally low levels of psychopathology. Despite firefighters’ overall resilience, our findings highlight loneliness and the negative impact of the COVID-19 pandemic as potential risk factors for increased severity of PTSD and depression symptoms.

ABSTRACTBackground: The COVID-19 pandemic caused multiple stressors that may lead to symptoms of adjustment disorder.Objective: We longitudinally examined relationships between risk and protective factors, pandemic-related stressors and symptoms of adjustment disorder during the COVID-19 pandemic, as well as whether these relationships differed by the time of assessment.Method: The European Society for Traumatic Stress Studies (ESTSS) ADJUST Study included N = 15,169 participants aged 18 years and above. Participants from 11 European countries were recruited and screened three times at 6-month intervals from June 2020 to January 2022. Associations between risk and protective factors (e.g. gender), stressors (e.g. fear of infection), and symptoms of adjustment disorder (AjD, ADNM-8) and their interaction with time of assessment were examined using mixed linear regression.Results: The following predictors were significantly associated with higher AjD symptom levels: female or diverse gender; older age; pandemic-related news consumption >30 min a day; a current or previous mental health disorder; trauma exposure before or during the pandemic; a good, satisfactory or poor health status (vs. very good); burden related to governmental crisis management and communication; fear of infection; restricted social contact; work-related problems; restricted activity; and difficult housing conditions. The following predictors were associated with lower AjD levels: self-employment or retirement; working in healthcare; and face-to-face contact ≥ once a week with loved ones or friends. The effects of the following predictors on AjD symptoms differed by the time of assessment in the course of the pandemic: a current or previous mental disorder; burden related to governmental crisis management; income reduction; and a current trauma exposure.Conclusions: We identified risk factors and stressors predicting AjD symptom levels at different stages of the pandemic. For some predictors, the effects on mental health may change at different stages of a pandemic.

ABSTRACTBackground: Participating in a criminal trial may increase the likelihood of developing psychopathology. In 2021, people bereaved by a plane disaster (flight MH17) had the opportunity to deliver a victim personal statement (VPS) in Dutch court.Objective: This longitudinal mixed-method study examined different aspects of 84 bereaved people’s experiences with VPS delivery.Method: Motivations to deliver, or not deliver, an oral VPS were examined qualitatively using thematic content analysis. Whether background and loss-related variables were related to the decision to deliver a VPS was examined using binary logistic regression analyses. Between-group (delivered VPS vs. did not) and within-group (pre- vs. post-VPS) comparisons were made regarding prolonged grief disorder (PGD), posttraumatic stress disorder (PTSD), and depression levels using t-tests and paired t-tests.Results: Bereaved people were most frequently motivated to deliver an oral VPS to describe the impact of the incident, while those who did not deliver an oral VPS commonly wanted to protect themselves from the perceived emotional burden. None of the correlates – i.e. biological sex, age, level of education, number of losses, and (closest) relationship to the deceased – were related to the decision to deliver a VPS. Lastly, significantly higher PGD, PTSD, and depression levels were reported by people who delivered a VPS than those who did not, before and after the court hearing. No significant within-group differences were found over time.Conclusions: Professionals may provide emotional support to bereaved people who want to deliver a VPS and manage their expectations if they want to deliver a VPS for the purpose of symptom reduction. Future research may benefit from examining other ways in which VPS delivery might have beneficial or detrimental effects for specific individuals. Overall, implementing VPS delivery in court on the basis of emotional restoration remains empirically unsupported, if defined as a reduction in psychopathological levels.

Sanne HB van Dijk,1,2 Marjolein GJ Brusse-Keizer,1,3 Charlotte C Bucsán,2,4 Eline H Ploumen,1,5 Wendy JC van Beurden,2 Job van der Palen,3,4 Carine JM Doggen,1,6 Anke Lenferink1,2,6 1Health Technology & Services Research, Technical Medical Centre, University of Twente, Enschede, the Netherlands; 2Department of Pulmonary Medicine, Medisch Spectrum Twente, Enschede, the Netherlands; 3Medical School Twente, Medisch Spectrum Twente, Enschede, the Netherlands; 4Cognition, Data & Education, Faculty of Behavioural, Management & Social Sciences, University of Twente, Enschede, the Netherlands; 5Department of Cardiology, Medisch Spectrum Twente, Enschede, the Netherlands; 6Clinical Research Centre, Rijnstate Hospital, Arnhem, the NetherlandsCorrespondence: Anke Lenferink, Health Technology & Services Research, Technical Medical Centre, University of Twente, Hallenweg 5, Enschede, NH, 7522, the Netherlands, Tel +31 0534896311, Email a.lenferink@utwente.nlBackground: Due to shared symptoms, acute heart failure (AHF) is difficult to differentiate from an acute exacerbation of COPD (AECOPD). This systematic review aimed to identify markers that can diagnose AHF underlying acute dyspnea in patients with COPD presenting at the hospital.Methods: All types of observational studies and clinical trials that investigated any marker’s ability to diagnose AHF in acutely dyspneic COPD patients were considered eligible for inclusion. An AI tool (ASReview) supported the title and abstract screening of the articles obtained from PubMed, Scopus, Web of Science, the Cochrane Library, Embase, and CINAHL until April 2023. Full text screening was independently performed by two reviewers. Twenty percent of the data extraction was checked by a second reviewer and the risk of bias was assessed in duplicate using the QUADAS-2 tool. Markers’ discriminative abilities were evaluated in terms of sensitivity, specificity, positive and negative predictive values, and the area under the curve when available.Results: The search identified 10,366 articles. After deduplication, title and abstract screening was performed on 5,386 articles, leaving 153 relevant, of which 82 could be screened full text. Ten distinct studies (reported in 16 articles) were included, of which 9 had a high risk of bias. Overall, these studies evaluated 12 distinct laboratory and 7 non-laboratory markers. BNP, NT-proBNP, MR-proANP, and inspiratory inferior vena cava diameter showed the highest diagnostic discrimination.Conclusion: There is not much evidence for the use of markers to diagnose AHF in acutely dyspneic COPD patients in the hospital setting. BNPs seem most promising, but should be interpreted alongside imaging and clinical signs, as this may lead to improved diagnostic accuracy. Future validation studies are urgently needed before any AHF marker can be incorporated into treatment decision-making algorithms for patients with COPD.Protocol Registration: CRD42022283952.Keywords: COPD, chronic heart failure, biomarkers, systematic review, differential diagnosis

Whereas exacerbation action plans to self-manage Chronic Obstructive Pulmonary Disease (COPD) significantly improve health outcomes, patients’ adherence to those action plans is often poor. This study aimed to identify facilitators and barriers of adherence to tailored multi-disease exacerbation action plans. We also explored patients’ perspectives toward disease management roles. Individual semi-structured interviews were conducted with a sample of COPD patients who completed a Dutch-Australian self-management intervention evaluating tailored exacerbation action plans for COPD and relevant comorbidities. Interviews were thematically analyzed using a deductive approach guided by the Capability, Opportunity and Motivation of Behavior (COM-B) model. In 2016, ten patients (5 Australian; 5 Dutch; 6 men; age 59-83 years) were interviewed at the end of their one-year follow-up. Facilitators of adherence included improved patients’ comprehension of disease and treatment, positive feelings about the intervention, improved self-confidence, and professional support. Barriers included difficulties to recognize symptoms, dislike toward daily symptom monitoring, negative feelings about the intervention, negative mood state, and complexity of symptom diaries and action plans. Patients indicated three distinctive perspectives of their own and their healthcare professional’s role in their disease management: 1) patients felt mainly responsible; 2) patients felt shared responsibility with their healthcare professional; and 3) patients felt not responsible as they perceived their healthcare professional to be mainly responsible. We successfully used the COM-B model as a guide to identify facilitators and barriers of patients’ adherence to multi-disease exacerbation action plans. Improving patients’ adherence in future self-management interventions by targeting specific facilitators or barriers should be considered.

Sanne HB van Dijk,1,2 Marjolein GJ Brusse-Keizer,1,3 Tanja Effing,4,5 Paul DLPM van der Valk,2 Eline H Ploumen,1,6 Job van der Palen,3,7 Carine JM Doggen,1,8 Anke Lenferink1,2,8 1Health Technology & Services Research, TechMed Centre, University of Twente, Enschede, the Netherlands; 2Department of Pulmonary Medicine, Medisch Spectrum Twente, Enschede, the Netherlands; 3Medical School Twente, Medisch Spectrum Twente, Enschede, the Netherlands; 4College of Medicine and Public Health, School of Medicine, Flinders University, Adelaide, Australia; 5School of Psychology, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, Australia; 6Department of Cardiology, Medisch Spectrum Twente, Enschede, the Netherlands; 7Cognition, Data & Education, BMS Faculty, University of Twente, Enschede, the Netherlands; 8Clinical Research Centre, Rijnstate Hospital, Arnhem, the NetherlandsCorrespondence: Anke Lenferink, Tel +31 534896311, Email a.lenferink@utwente.nlBackground: Comorbidities are known to complicate disease management in patients with Chronic Obstructive Pulmonary Disease (COPD). This is partly due to lack of insight into the interplay of acute exacerbations of COPD (AECOPD) and comorbid flare-ups. This study aimed to explore patterns of AECOPDs and comorbid flare-ups.Methods: Data of increased symptoms were extracted from a 12-month daily symptom follow-up database including patients with COPD and comorbidities (chronic heart failure (CHF), anxiety, depression) and transformed to visualizations of AECOPDs and comorbid flare-up patterns over time. Patterns were subsequently categorized using an inductive approach, based on both predominance (ie, which occurs most often) of AECOPDs or comorbid flare-ups, and their simultaneous (ie, simultaneous start in ≥ 50%) occurrence.Results: We included 48 COPD patients (68 ± 9 years; comorbid CHF: 52%, anxiety: 40%, depression: 38%). In 25 patients with AECOPDs and CHF flare-ups, the following patterns were identified: AECOPDs predominant (n = 14), CHF flare-ups predominant (n = 5), AECOPDs nor CHF flare-ups predominant (n = 6). Of the 24 patients with AECOPDs and anxiety and/or depression flare-ups, anxiety and depression flare-ups occurred simultaneously in 15 patients. In 9 of these 24 patients, anxiety or depression flare-ups were observed independently from each other. In 31 of the included 48 patients, AECOPDs and comorbid flare-ups occurred mostly simultaneously.Conclusion: Patients with COPD and common comorbidities show a variety of patterns of AECOPDs and comorbid flare-ups. Some patients, however, show repetitive patterns that could potentially be used to improve personalized disease management, if recognized.Keywords: chronic obstructive pulmonary disease, heart failure, anxiety, depression, personalized medicine, disease monitoring

Background: The loss of a significant other can lead to variety of responses, including prolonged grief disorder (PGD), depression, and posttraumatic stress disorder (PTSD). Latent class analysis (LCA) is a person-centered statistical approach that finds subtypes of related cases based on item-responses. There has been a growing interest in conducting LCA on PGD, but no research synthesis exists to date. Aim of this systematic review was to provide a comprehensive overview of the state of research on LCAs on PGD and other indicators of mental health in bereaved adults and to rate the quality of these LCA studies. Method: A systematic literature search was conducted in PsycInfo, Psyndex, Web of Science and PubMed in September 2022. Inclusion criteria required that a LCA was conducted including PGD and additional mental health indicators in bereaved adults. Quality of LCAs was rated using Guidelines for Reporting on Latent Class Analyses (GRoLCA). Results: Twenty-one studies published between 2014 and 2022 with a median of 308 participants were reviewed. Studies comprised samples from six continents confronted with violent (k = 9), natural losses (k = 8) or both (k = 4). In addition to PGD symptoms as principal latent class indicators, studies included PTSD (k = 5), depression (k = 3), or both (k = 10). The majority of studies identified three (k = 16, 76%) or four latent classes (k = 4, 19%). Most studies found a resilient (k = 19, 91%) and a high symptom (k = 20, 95.2%) class. Fourteen studies (66.7%) found classes predominantly marked by PGD symptoms. Discussion: Despite the diversity of included samples and LCA indicators of mental health, several types of latent classes were similar across studies. Caution, however, is warranted when comparing results across studies, since inconsistencies about interpreting and reporting LCA models limited the comparability of studies. Recommendations to improve the quality of LCA reporting are provided.

ABSTRACTCarbonic anhydrase (CA)-IX is an extracellular enzyme that is essential in the adaptation of tumor cells to their increasingly more hypoxic and acidic microenvironment. Within the family of carbonic anhydrases, CA-IX is unique in that it is the only CA with an N-terminal intrinsically disordered region (IDR) containing a proteoglycan (PG)-like domain. This PG-like IDR has been described to be instrumental in CA-IX’s enzyme activity, as well as tumor cell motility and invasion. We have characterized the antibody–epitope interactions of two novel and unique antibodies (11H9 and 12H8) that are specific for the human CA-IX’s IDR. Binding interactions of these antibodies to the intact IDR were studied by surface plasmon resonance and high-resolution nuclear magnetic resonance (NMR) spectroscopy, while the specific epitopes were determined by both NMR and yeast surface display (YSD). Our data show that 12H8 binds to the N-terminus of CA-IX, while 11H9 has a high affinity for an epitope located in the central region of the IDR containing three GEEDLP repeats in a manner that is different from the previously described M75 antibody. Titration NMR spectroscopy using CA-IX’s entire IDR in addition identified a secondary epitope of 11H9 at the beginning of the PG-like domain that remains exposed and available for further binding events after the engagement at its primary epitope at the center of the PG-like domain. Transverse relaxation optimized NMR spectroscopy of 11H9-F(Ab) in complex with the CA-IX IDR outlines structural rigidification of a linear epitope, while the rest of the IDR remains largely unstructured upon complex formation. This study illustrates how high-resolution NMR and YSD are used as complementary tools for a comprehensive characterization of antibody–epitope interactions involving intrinsically unstructured antigen domains with highly repetitive sequences.

ABSTRACTLong-term delivery is a successful strategy used to reduce the adverse effects of monoclonal antibody (mAb)-based treatments. Macroporous hydrogels and affinity-based strategies have shown promising results in sustained and localized delivery of the mAbs. Among the potential tools for affinity-based delivery systems, the de novo designed Ecoil and Kcoil peptides are engineered to form a high-affinity, heterodimeric coiled-coil complex under physiological conditions. In this study, we created a set of trastuzumab molecules tagged with various Ecoil peptides and evaluated their manufacturability and characteristics. Our data show that addition of an Ecoil tag at the C-termini of the antibody chains (light chains, heavy chains, or both) does not hinder the production of chimeric trastuzumab in CHO cells or affect antibody binding to its antigen. We also evaluated the influence of the number, length, and position of the Ecoil tags on the capture and release of Ecoil-tagged trastuzumab from macroporous dextran hydrogels functionalized with Kcoil peptide (the Ecoil peptide-binding partner). Notably, our data show that antibodies are released from the macroporous hydrogels in a biphasic manner; the first phase corresponding to the rapid release of residual, unbound trastuzumab from the macropores, followed by the affinity-controlled, slow-rate release of antibodies from the Kcoil-functionalized macropore surface.

Abstract Mice display a wide repertoire of vocalizations that varies with sex, strain, and context. Especially during social interaction, including sexually motivated dyadic interaction, mice emit sequences of ultrasonic vocalizations (USVs) of high complexity. As animals of both sexes vocalize, a reliable attribution of USVs to their emitter is essential. The state-of-the-art in sound localization for USVs in 2D allows spatial localization at a resolution of multiple centimeters. However, animals interact at closer ranges, e.g. snout-to-snout. Hence, improved algorithms are required to reliably assign USVs. We present a novel algorithm, SLIM (Sound Localization via Intersecting Manifolds), that achieves a 2–3-fold improvement in accuracy (13.1–14.3 mm) using only 4 microphones and extends to many microphones and localization in 3D. This accuracy allows reliable assignment of 84.3% of all USVs in our dataset. We apply SLIM to courtship interactions between adult C57Bl/6J wildtype mice and those carrying a heterozygous Foxp2 variant (R552H). The improved spatial accuracy reveals that vocalization behavior is dependent on the spatial relation between the interacting mice. Female mice vocalized more in close snout-to-snout interaction while male mice vocalized more when the male snout was in close proximity to the female's ano-genital region. Further, we find that the acoustic properties of the ultrasonic vocalizations (duration, Wiener Entropy, and sound level) are dependent on the spatial relation between the interacting mice as well as on the genotype. In conclusion, the improved attribution of vocalizations to their emitters provides a foundation for better understanding social vocal behaviors.

ABSTRACTBackground: With the release of the text revision of the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5-TR), criteria for Prolonged Grief Disorder (PGD) were included. This necessitates studying grief trajectories based on these criteria.Objective: This is the first study examining latent trajectories of DSM-5-TR-based PGD symptom levels and testing whether specific risk factors (e.g. cause of death) predicted PGD trajectories.Method: We evaluated latent DSM-5-TR PGD trajectories using pooled existing data collected at 6–12, 13–24, and 25–60 months post-loss in Danish and Dutch bereaved adults (N = 398). Latent Growth Mixture Modelling (LGMM) was employed to determine the trajectories. Multinomial logistic regression analyses were used to examine which risk factors predicted class membership.Results: The four-class LGMM solution with a quadratic term was best-fitting the data. This solution represented four trajectories: High stable PGD (6%), High PGD quick recovery (10%), High PGD slow recovery (35%), and Low PGD symptoms (49%). Participants with a higher educational level were more likely to be assigned to the Low PGD symptoms trajectory compared to High stable PGD and High PGD slow recovery trajectories. Unnatural causes of death increased the likelihood of being in the High stable PGD and High PGD slow recovery trajectories compared to the Low PGD symptoms trajectory.Conclusions: Consistent with prior research, the Low PGD symptoms trajectory was the most common. A significant minority experienced high and stable levels of PGD within five years after the loss. About one-third of participants experienced high acute grief levels that decreased slowly; how slow decreasing symptoms relate to an individual’s functioning requires further attention. This study demonstrates that a significant minority of bereaved people develop acute PGD symptomatology that does not diminish within five years post-loss, emphasizing the need for early screening for PGD to prevent long-lasting complaints.

ABSTRACTBackground: The FAIR data principles aim to make scientific data more Findable, Accessible, Interoperable, and Reusable. In the field of traumatic stress research, FAIR data practices can help accelerate scientific advances to improve clinical practice and can reduce participant burden. Previous studies have identified factors that influence data sharing and re-use among scientists, such as normative pressure, perceived career benefit, scholarly altruism, and availability of data repositories. No prior study has examined researcher views and practices regarding data sharing and re-use in the traumatic stress field.Objective: To investigate the perspectives and practices of traumatic stress researchers around the world concerning data sharing, re-use, and the implementation of FAIR data principles in order to inform development of a FAIR Data Toolkit for traumatic stress researchers.Method: A total of 222 researchers from 28 countries participated in an online survey available in seven languages, assessing their views on data sharing and re-use, current practices, and potential facilitators and barriers to adopting FAIR data principles.Results: The majority of participants held a positive outlook towards data sharing and re-use, endorsing strong scholarly altruism, ethical considerations supporting data sharing, and perceiving data re-use as advantageous for improving research quality and advancing the field. Results were largely consistent with prior surveys of scientists across a wide range of disciplines. A significant proportion of respondents reported instances of data sharing and re-use, but gold standard practices such as formally depositing data in established repositories were reported as infrequent. The study identifies potential barriers such as time constraints, funding, and familiarity with FAIR principles.Conclusions: These results carry crucial implications for promoting change and devising a FAIR Data Toolkit tailored for traumatic stress researchers, emphasizing aspects such as study planning, data preservation, metadata standardization, endorsing data re-use, and establishing metrics to assess scientific and societal impact.

Background: Around 10% of bereaved youths experience symptoms of prolonged grief disorder (PGD). Recently, PGD was included in the two main classification systems for mental disorders: the ICD-11 and DSM-5-TR. Assessing PGD symptoms in youth is currently hindered by the lack of instruments for ICD-11 and DSM-5-TR criteria. To fill this gap, we developed an instrument to assess PGD symptoms in children and adolescents, the Traumatic Grief Inventory – Kids – Clinician-Administered (TGI-K-CA), based on input of grief experts and bereaved children. Methods: Five experts rated the items on alignment with DSM-TR and ICD-11 PGD symptoms and comprehensibility. The adjusted items were then presented to seventeen bereaved youths (Mdnage = 13.0 years, range = 8–17 years). Using the Three-Step Test Interview (TSTI), children were asked to verbalize their thoughts while answering the items. Results: Issues raised by experts were mostly related to alignment with the DSM-5-TR/ICD-11 symptom, ambiguous formulation of the items, or low comprehensibility for children and adolescents. Items raising fundamental issues according to experts were adjusted. The TSTI showed that children encountered relatively few problems with the items. Frequently reported problems with some of the items (e.g. regarding comprehensibility) led to final adjustments. Conclusion: With input from grief experts and bereaved youths, an instrument to assess PGD symptoms as defined in DSM-5-TR and ICD-11 in bereaved youths was finalized. Further quantitative research is currently undertaken to evaluate the instrument’s psychometric qualities.

Background: Prolonged grief disorder (PGD) has been included in the International Classification of Diseases (ICD-11) and the Diagnostic and Statistical Manual of Mental Disorders 5 Text Revision (DSM-5-TR). Loss-related avoidance behavior perpetuates grief and effective interventions for prolonged grief symptoms target such avoidance behavior. Yet, behaviors characterized by approach of loss-related cues (i.e. rumination, yearning, proximity seeking) are also implicated in prolonged grief reactions. Objective: To solve this paradox, we will test the Approach Avoidance Processing Hypothesis, which holds that loss-related approach and avoidance behaviors co-occur in PGD, using latent class analyses (LCA). Methods: Two-hundred eighty-eight bereaved adults (92% female) completed questionnaires assessing loss-related approach behaviors (rumination, yearning, proximity seeking), loss-related avoidance behaviors (anxious avoidance, experiential avoidance) and ICD-11 and DSM-5-TR prolonged grief symptoms. Results: LCA demonstrated the best fit for a three-class solution comprising a low approach/low avoidance class (n = 98, 34%), a high approach/low avoidance class (n = 79, 27%), and a high approach/high avoidance class (n = 111, 39%). The latter class showed significantly higher prolonged grief symptom levels and higher odds of probable PGD compared to the other classes. Conclusions: Co-occurrence of loss-related approach and avoidance appears characteristic to prolonged grief reactions. Distinguishing bereaved people with these behavioral patterns from those solely experiencing loss-related approach behaviors may improve the efficacy of PGD therapies.

BackgroundCross-sectional relationships between psychosocial resilience factors (RFs) and resilience, operationalized as the outcome of low mental health reactivity to stressor exposure (low “stressor reactivity” [SR]), were reported during the first wave of the COVID-19 pandemic in 2020. ObjectiveExtending these findings, we here examined prospective relationships and weekly dynamics between the same RFs and SR in a longitudinal sample during the aftermath of the first wave in several European countries. MethodsOver 5 weeks of app-based assessments, participants reported weekly stressor exposure, mental health problems, RFs, and demographic data in 1 of 6 different languages. As (partly) preregistered, hypotheses were tested cross-sectionally at baseline (N=558), and longitudinally (n=200), using mixed effects models and mediation analyses. ResultsRFs at baseline, including positive appraisal style (PAS), optimism (OPT), general self-efficacy (GSE), perceived good stress recovery (REC), and perceived social support (PSS), were negatively associated with SR scores, not only cross-sectionally (baseline SR scores; all P

Abstract Using our strongly immunogenic SmT1 SARS-CoV-2 spike antigen platform, we developed antigens based on the Beta & Delta variants of concern (VOC). These antigens elicited higher neutralizing antibody activity to the corresponding variant than comparable vaccine formulations based on the original reference strain, while a multivalent vaccine generated cross-neutralizing activity in all three variants. This suggests that while current vaccines may be effective at reducing severe disease to existing VOC, variant-specific antigens, whether in a mono- or multivalent vaccine, may be required to induce optimal immune responses and reduce infection against arising variants.

Background Systematic reviews provide a structured overview of the available evidence in medical-scientific research. However, due to the increasing medical-scientific research output, it is a time-consuming task to conduct systematic reviews. To accelerate this process, artificial intelligence (AI) can be used in the review process. In this communication paper, we suggest how to conduct a transparent and reliable systematic review using the AI tool ‘ASReview’ in the title and abstract screening.Methods Use of the AI tool consisted of several steps. First, the tool required training of its algorithm with several prelabelled articles prior to screening. Next, using a researcher-in-the-loop algorithm, the AI tool proposed the article with the highest probability of being relevant. The reviewer then decided on relevancy of each article proposed. This process was continued until the stopping criterion was reached. All articles labelled relevant by the reviewer were screened on full text.Results Considerations to ensure methodological quality when using AI in systematic reviews included: the choice of whether to use AI, the need of both deduplication and checking for inter-reviewer agreement, how to choose a stopping criterion and the quality of reporting. Using the tool in our review resulted in much time saved: only 23% of the articles were assessed by the reviewer.Conclusion The AI tool is a promising innovation for the current systematic reviewing practice, as long as it is appropriately used and methodological quality can be assured.PROSPERO registration number CRD42022283952.

Background: The coronavirus disease 2019 (COVID-19) pandemic is associated with an increase in mortality rates globally. Given the high numbers of deaths and the potentially traumatic characteristics of COVID-19 deaths, it is expected that grief-related distress levels are higher in COVID-19 bereaved (compared to non-COVID-19 bereaved) people. This living systematic review (LSR) investigates the empirical evidence regarding this claim. More specifically, this LSR summarizes studies evaluating prevalence and correlates of positive and negative psychological effects of COVID-19 bereavement. This iteration synthesizes evidence up to July 2022. Methods: Systematic searches were conducted in PsychInfo, Web of Science, and Medline by two independent reviewers. Eligible studies included quantitative peer-reviewed articles reporting on positive and/or negative psychological outcomes, using validated measures, in COVID-19 bereaved adults. The primary outcome was prolonged grief symptoms (PG). Results: Searches identified 9871 articles, whereof 12 studies met the inclusion criteria. All studies included prevalence rates and/or symptom-levels of psychological outcomes after COVID-19 losses. Prevalence rates of psychological outcomes were primarily reported in terms of (acute) PG, pandemic grief, depression, anxiety, and functional impairment, and varied widely between studies (e.g., ranged between 29% and 49% for acute PG). No studies reported on prevalence rates of positive psychological outcomes. Closer kinship to the deceased, death unexpectedness, and COVID-19 stressors were identified as correlates of increased psychological symptoms. Conclusions: Due to the small number and heterogeneity of studies, knowledge about psychological effects of COVID-19 bereavement is limited. This LSR offers a regular synthesis of up-to-date research evidence to guide clinicians, policy makers, public health professionals, and future research on the psychological effects of COVID-19 bereavement.

Liposomes composed of sulfated lactosyl archaeol (SLA) have been shown to be a safe and effective vaccine adjuvant with a multitude of antigens in preclinical studies. In particular, SLA-adjuvanted SARS-CoV-2 subunit vaccines based on trimeric spike protein antigens were shown to be immunogenic and efficacious in mice and hamsters. With the continued emergence of SARS-CoV-2 variants, we sought to evaluate next-generation vaccine formulations with an updated antigenic identity. This was of particular interest for the widespread Omicron variant, given the abundance of mutations and structural changes observed within its spike protein compared to other variants. An updated version of our resistin-trimerized SmT1 corresponding to the B.1.1.529 variant was successfully generated in our Chinese Hamster Ovary (CHO) cell-based antigen production platform and characterized, revealing some differences in protein profile and ACE2 binding affinity as compared to reference strain-based SmT1. We next evaluated this Omicron-based spike antigen for its immunogenicity and ability to generate robust antigen-specific immune responses when paired with SLA liposomes or AddaS03 (a mimetic of the AS03 oil-in-water emulsion adjuvant system found in commercialized SARS-CoV-2 protein vaccines). Immunization of mice with vaccine formulations containing this updated antigen with either adjuvant stimulated neutralizing antibody responses favouring Omicron over the reference strain. Cell-mediated responses, which play an important role in the neutralization of intracellular infections, were induced to a much higher degree with the SLA adjuvant relative to the AddaS03-adjuvanted formulations. As such, updated vaccines that are better capable of targeting towards SARS-CoV-2 variants can be generated through an optimized combination of antigen and adjuvant components.

Background and objectives: A rise in prolonged grief disorder (PGD) levels was expected due to COVID-19 deaths. We tested this assumption, by comparing PGD-severity among people who experienced a death of a loved one during the pandemic caused by a natural (e.g., illness), COVID-19, or unnatural (e.g., accidents, suicides, homicides) loss on average 8 months earlier and in a subgroup of people bereaved ≥12 months earlier. Design and methods: Self-rated DSM-5-TR (acute) PGD levels (using the Traumatic Grief Inventory-Self Report plus) were compared among Dutch adults who experienced a natural (N = 1036), COVID-19 (N = 76), or unnatural loss (N = 271) during the pandemic. Analyses of covariance were used. Results: About two-thirds of the participants scored above the cut-off for (acute) probable PGD. Significantly higher acute PGD-severity was found in people after unnatural loss compared with COVID-19 (B = -2.44 (SE=0.87), p = .005) or natural loss (B = -1.78 (SE=0.45), p

Objective: The Traumatic Grief Inventory‐Self Report Plus (TGI‐SR+) measures the most recent prolonged grief disorder (PGD) symptom sets defined in the 11th edition of the International Statistical of Diseases and Related Health Problems (ICD‐11) and the text revision of the fifth edition of the Diagnostical and Statistical Manual of Mental Disorders (DSM‐5‐TR). However, the TGI‐SR+ has not yet been translated and validated in Chinese. This study aims to evaluate the psychometric properties of the Chinese translation of the TGI‐SR+. Methods: We examined the Chinese TGI‐SR+'s factor structure, internal consistency, convergent validity, discriminant validity, known‐groups validity, and optimal clinical cut‐off scores in 443 Chinese bereaved adults. Results: Confirmatory factor analyses showed that the two‐factor models showed the best fit for the Chinese TGI‐SR+ items assessing ICD‐11 and DSM‐5‐TR prolonged grief symptoms. Items assessing ICD‐11 and DSM‐5‐TR prolonged grief symptoms demonstrated good internal consistency. Associations of TGI‐SR+ scores with symptom levels of prolonged grief (assessed by the International Prolonged Grief Disorder Scale), posttraumatic stress, anxiety, and depression supported convergent and discriminant validity. Associations with background/loss‐related variables provided evidence for known‐groups validity. Cut‐off points for probable ICD‐11 PGD (liberal scoring rule), probable ICD‐11 PGD (conservative scoring rule), and probable DSM‐5‐TR PGD were ≥67, ≥75, and ≥68, respectively. Discussion: The Chinese TGI‐SR+ appears to be a reliable and valid measure to assess prolonged grief symptoms per ICD‐11 and DSM‐5‐TR among Chinese bereaved adults. [ABSTRACT FROM AUTHOR]

Most studies examining prolonged grief disorder (PGD) in people bereaved during the COVID‐19 pandemic are focused on psychopathology. However, mental health encompasses both absence of psychopathology and presence of well‐being. This is the first study examining symptom profiles of early PGD and subjective mental well‐being in 266 Dutch adults recently bereaved during the pandemic. Early PGD and well‐being indicators were assessed with the Traumatic Grief Inventory–Self Report Plus and the World Health Organization–Five Well‐Being Index, respectively. Latent class analysis identified four classes: low PGD/high well‐being (32%), low PGD/moderate well‐being (24%), moderate PGD/high well‐being (23%) and high PGD/low well‐being class (21%). People in the poorer mental health classes were more likely to be female, lower educated, suffering from a mental disorder, have a poor health status, closer kinship to the deceased, and higher risk of severe COVID‐19. Classifying adults according to symptom profiles of negative and positive outcomes provides a more complete picture of mental health in bereaved people and offers potential intervention targets. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 pandemic is a health emergency resulting in multiple stressors that may be related to posttraumatic stress disorder (PTSD). Objective: This study examined relationships between risk and protective factors, pandemic-related stressors, and PTSD during the COVID-19 pandemic. Methods: Data from the European Society of Traumatic Stress Studies (ESTSS) ADJUST Study were used. N = 4,607 trauma-exposed participants aged 18 years and above were recruited from the general populations of eleven countries (Austria, Croatia, Georgia, Germany, Greece, Italy, Lithuania, the Netherlands, Poland, Portugal, and Sweden) from June to November 2020. We assessed sociodemographic (e.g. gender), pandemic-related (e.g. news consumption), and health-related (e.g. general health condition) risk and protective factors, pandemic-related stressors (e.g. fear of infection), and probable PTSD (PC-PTSD-5). The relationships between these variables were examined using logistic regression on multiple imputed data sets. Results: The prevalence of probable PTSD was 17.7%. Factors associated with an increased risk for PTSD were younger age, female gender, more than 3 h of daily pandemic-related news consumption (vs. no consumption), a satisfactory, poor, or very poor health condition (vs. a very good condition), a current or previous diagnosis of a mental disorder, and trauma exposure during the COVID-19 pandemic. Factors associated with a reduced risk for PTSD included a medium and high income (vs. very low income), face-to-face contact less than once a week or 3–7 times a week (vs. no contact), and digital social contact less than once a week or 1–7 days a week (vs. no contact). Pandemic-related stressors associated with an increased risk for PTSD included governmental crisis management and communication, restricted resources, restricted social contact, and difficult housing conditions. Conclusion: We identified risk and protective factors as well as stressors that may help identify trauma-exposed individuals at risk for PTSD, enabling more efficient and rapid access to care. HIGHLIGHTS N = 4,607 trauma-exposed adult participants were recruited from the general population during the first year of the COVID-19 pandemic. The prevalence for probable posttraumatic stress disorder was 17.7%. We identified risk factors (e.g. poor health condition) and protective factors (e.g. social contact) associated with posttraumatic stress disorder.