Difficult-to-Treat Concept in Psoriatic Arthritis: Analysis of 2 Potential Definitions in a Large Group of Patients. A Cross-Sectional Study

OBJECTIVE

The main aim of the study was to evaluate the performance of 2 proposed criteria for difficult-to-treat (D2T) psoriatic arthritis (PsA) in a group of patients and to evaluate the agreement between the 2 sets of criteria.

METHODS

We performed a cross-sectional analysis of 2 longitudinal cohorts of patients with PsA fulfilling the Classification Criteria for Psoriatic Arthritis (CASPAR), with at least 1 year of follow-up. A detailed medical history was collected and a physical examination was performed for all recruited patients. The proposed criteria for patients with D2T PsA were applied in our group. To test the performance of the 2 sets of criteria, we used an external validator (absence of patient acceptable symptom state + physician global assessment ≥ 6 cm). Finally, the agreement between the 2 sets of criteria was assessed.

RESULTS

We evaluated 378 patients with PsA (219 male/159 female), with a mean age (range) of 58 (19-75) years. Seventy-five (19.8%) patients fulfilled the D2T criteria proposed by Perrotta et al and 58 (15.3%) the D2T criteria proposed by Kumthekar et al. Both criteria showed comparable performance, with low sensitivity (Perrotta: 37.8%, Kumthekar: 29.7%) but good specificity (Perrotta: 82.1%, Kumthekar: 86.2%). Finally, the agreement between the 2 sets of criteria is substantial (Fleiss [Formula: see text] 0.72), suggesting that both criteria identify nearly the same group of patients.

CONCLUSION

Our study compared 2 published sets of criteria showing comparable performance and substantial agreement. This study may pave the way for further research in this field.

Bithiazole inhibitors of PI4KB show broad-spectrum antiviral activity against different viral families

Broad-spectrum antivirals can be extremely important for pandemic preparedness. Targeting host factors dispensable for the host but indispensable for the virus can result in high barrier to resistance and a large range of viruses targeted. PI4KB is a lipid kinase involved in the replication of several RNA viruses, but common inhibitors of this target are mainly active against members of the Picornaviridae family. Herein we describe the optimization of bithiazole PI4KB inhibitors as broad-spectrum antivirals (BSAs) active against different members of the Picornaviridae, Coronaviridae, Flaviviridae and Poxviridae families. Since some of these viruses are transmitted via respiratory route, the efficacy of one of the most promising compounds was evaluated in an airway model. The molecule showed complete viral inhibition and absence of toxicity. These results pave the road for the development of new BSAs.

Fiber-Based SERS-Fluidic Polymeric Platforms for Improved Optical Analysis of Liquids

Downsizing surface-enhanced Raman spectroscopy (SERS) within microfluidic devices has opened interesting perspectives for the development of low-cost and portable (bio)sensors for the optical analysis of liquid samples. Despite the research efforts, SERS-fluidic devices still rely either on the use of expensive bulky set-ups or on polymeric devices giving spurious background signals fabricated via expensive manufacturing processes. Here, polymeric platforms integrating fluidics and optics were fabricated with versatile designs allowing easy coupling with fiber-based Raman systems. For the first time, anti-fouling photocurable perfluoropolyether (PFPE) was explored for high-throughput SERS-integrating chip fabrication via replica molding of negative stamps obtained through standard and advanced fabrication processes. The PFPE devices comprised networks of channels for fluid handling and for optical fiber housing with multiple orientations. Embedded microfeatures were used to control the relative positioning of the fibers, thus guaranteeing the highest signal delivering and collection. The feasibility of PFPE devices as fiber-based SERS fluidic platforms was demonstrated through the straightforward acquisition of Raman-SERS spectra of a mixture of gold nanoparticles as SERS substrates with rhodamine 6G (Rh6G) at decreasing concentrations. In the presence of high-performing gold nanostars, the Rh6G signal was detectable at dilutions down to the nanomolar level even without tight focusing and working at low laser power-a key aspect for analyte detection in real-world biomedical and environmental applications.

Acquired haemophilia A in southern Switzerland from 2013 to 2019: a case series

AIMS OF THE STUDY: Acquired haemophilia A is a rare disease with an annual incidence of 1.48 per million. Based on clinical observations, we suspect a higher incidence in southern Switzerland, and aimed at providing local epidemiological data, and clinical information regarding diagnosis, treatment and outcome in our region. METHODS: All adult patients with acquired haemophilia A treated between 2013 and 2019 in our facility were included in the present retrospective analysis. RESULTS: We treated 11 patients with acquired haemophilia A between 2013 and 2019, resulting in an annual incidence of 4.5 per million (95% confidence interval [CI] 0–9.0). Median delay from first symptoms to diagnosis was 4.5 days, and the median age at diagnosis was 79 years (range 23–87). Possible causative conditions were: pregnancy (n = 1), polyarteritis nodosa (n = 1), myelodysplastic syndrome (n = 1), chronic human immunodeficiency virus (HIV) (n = 1), and HIV postexposure prophylaxis (n = 1). In five patients no underlying or associated condition was identified. Median activated partial thromboplastin time (aPTT)) at baseline was 79 seconds (65–117; ref. value <38 sec), and FVIII:C 2.15% (<1–3.75%). A FVIII:C <1% was present in 4/10 patients. Median FVIII-inhibitor titre was 10.3 BU/ml (2.4–75.0 BU/ml). All patients had bleeding symptoms, 5/10 patients had major bleedings, and 7/10 patients were treated with bypassing agents. All patients received corticosteroids; 7/10 patients received immunosuppressive combination therapy. FVIII levels of ≥50% were achieved after a median of 40 days (8–62). One patient had a severe immunosuppressive therapy-related infection. An 87-years-old woman died for reasons not related to acquired haemophilia A or immunosuppressive therapy. CONCLUSIONS: Acquired haemophilia A is a rare disease, but manageable despite the advanced patient age and comorbidities. Its incidence in Southern Switzerland is higher than previously suspected.

The impact of microfluidics in high-throughput drug-screening applications

Drug discovery is an expensive and lengthy process. Among the different phases, drug discovery and preclinical trials play an important role as only 5-10 of all drugs that begin preclinical tests proceed to clinical trials. Indeed, current high-throughput screening technologies are very expensive, as they are unable to dispense small liquid volumes in an accurate and quick way. Moreover, despite being simple and fast, drug screening assays are usually performed under static conditions, thus failing to recapitulate tissue-specific architecture and biomechanical cues present in vivo even in the case of 3D models. On the contrary, microfluidics might offer a more rapid and cost-effective alternative. Although considered incompatible with high-throughput systems for years, technological advancements have demonstrated how this gap is rapidly reducing. In this Review, we want to further outline the role of microfluidics in high-throughput drug screening applications by looking at the multiple strategies for cell seeding, compartmentalization, continuous flow, stimuli administration (e.g., drug gradients or shear stresses), and single-cell analyses.

Serum anti-GM2 and anti-GalNAc-GD1a IgG antibodies are biomarkers for acute canine polyradiculoneuritis

OBJECTIVES

A previous single-country pilot study indicated serum anti-GM2 and anti-GA1 anti-glycolipid antibodies as potential biomarkers for acute canine polyradiculoneuritis. This study aims to validate these findings in a large geographically heterogenous cohort.

MATERIALS AND METHODS

Sera from 175 dogs clinically diagnosed with acute canine polyradiculoneuritis, 112 dogs with other peripheral nerve, cranial nerve or neuromuscular disorders and 226 neurologically normal dogs were screened for anti-glycolipid antibodies against 11 common glycolipid targets to determine the immunoglobulin G anti-glycolipid antibodies with the highest combined sensitivity and specificity for acute canine polyradiculoneuritis.

RESULTS

Anti-GM2 anti-glycolipid antibodies reached the highest combined sensitivity and specificity (sensitivity: 65.1%, 95% confidence interval 57.6 to 72.2%; specificity: 90.2%, 95% confidence interval 83.1 to 95.0%), followed by anti-GalNAc-GD1a anti-glycolipid antibodies (sensitivity: 61.7%, 95% confidence interval 54.1 to 68.9%; specificity: 89.3%, 95% confidence interval 82.0 to 94.3%) and these anti-glycolipid antibodies were frequently present concomitantly. Anti-GA1 anti-glycolipid antibodies were detected in both acute canine polyradiculoneuritis and control animals. Both for anti-GM2 and anti-GalNAc-GD1a anti-glycolipid antibodies, sex was found a significantly associated factor with a female to male odds ratio of 2.55 (1.27 to 5.31) and 3.00 (1.22 to 7.89), respectively. Anti-GalNAc-GD1a anti-glycolipid antibodies were more commonly observed in dogs unable to walk (OR 4.56, 1.56 to 14.87).

CLINICAL SIGNIFICANCE

Anti-GM2 and anti-GalNAc-GD1a immunoglobulin G anti-glycolipid antibodies represent serum biomarkers for acute canine polyradiculoneuritis.

Development of the Functional Assessment of Chronic Illness Therapy - Liver Transplant (FACT-LT) Scale

Background

This study aims to propose an initial development of the FACT-Liver Transplant (FACT-LT) scale to assess the major physical and emotional concerns of patients before and after Orthotopic Liver transplant (OLT) due to acute and chronic liver failure and hepatocellular carcinoma.

Methods

The FACT-LT was developed in two phases. In Phase I, items were generated: 1) through interviews with 10 OLT experts and 15 candidates for or recipients of both oncological and non-oncological OLT which identified relevant topics; 2) from the FACIT item bank. In Phase II, a questionnaire to assess item frequency, applicability, and comprehension was administered to 20 OLT experts and, to assess item difficulty, embarrassment and content irrelevance, to 30 transplant recipients or candidate patients (15 oncological, 15 non-oncological).

Results

In Phase I, 44 items were formulated/reviewed, and 30 items were maintained. All the healthcare professionals interviewed rejected the recommendation to develop two different modules for cancer and non-cancer patients. In Phase II, the majority of the experts and patients expressed an overall satisfaction with the questionnaire, indicating that the items were relevant, comprehensible and not embarrassing (range 75% - 99%). The first version of the FACT-LT includes 28 items defining four QOL domains: 5 items relating to Physical Well-Being, 8 to Functional Well-Being, 13 to Emotional Well-Being, and 2 to Social/Family Well-Being.

Conclusion

The preliminary results obtained were promising; however further studies are needed, in order to proceed with a FACT-LT validation process.

Bioprinting of Matrigel Scaffolds for Cancer Research

Cancer is one of the most life-threatening diseases worldwide. Despite the huge efforts, the failure rate of therapies remains high due to cells heterogeneity, so physiologically relevant models are strictly necessary. Bioprinting is a technology able to form highly complex 3D tissue models and enables the creation of large-scale constructs. In cancer research, Matrigel® is the most widely used matrix, but it is hardly bioprinted pure, without the use of any other bioink as reinforcement. Its complex rheological behavior makes the control with a standard bioprinting process nearly impossible. In this work, we present a customized bioprinting strategy to produce pure Matrigel® scaffolds with good shape fidelity. To this aim, we realized a custom-made volumetric dispensing system and performed printability evaluations. To determine optimal printing parameters, we analyzed fibers spreading ratio on simple serpentines. After identifying an optimal flow rate of 86.68 ± 5.77 µL/min and a printing speed of 10 mm/min, we moved forward to evaluate printing accuracy, structural integrity and other key parameters on single and multi-layer grids. Results demonstrated that Matrigel® was able to maintain its structure in both simple and complex designs, as well as in single and multilayer structures, even if it does not possess high mechanical strength. In conclusion, the use of volumetric dispensing allowed printing pure Matrigel® constructs with a certain degree of shape fidelity on both single and multiple layers.

[Glioblastoma]

Glioblastoma is the most common primary malignant brain tumor. Despite treatments combining excisional surgery, chemotherapy, and radiotherapy, overall survival remains low and the incidence of tumor recurrence remains high. Advances in the understanding of the disease, particularly its molecular biology and the mechanisms of action of systemic and radiotherapeutic treatments, as well as the development of image-guided surgical techniques, offer hope for the control of this hitherto incurable disease.

Improving cell seeding efficiency through modification of fiber geometry in 3D printed scaffolds

Cell seeding on 3D scaffolds is a very delicate step in tissue engineering applications, influencing the outcome of the subsequent culture phase, and determining the results of the entire experiment. Thus, it is crucial to maximize its efficiency. To this purpose, a detailed study of the influence of the geometry of the scaffold fibers on dynamic seeding efficiency is presented. 3D printing technology was used to realize PLA porous scaffolds, formed by fibers with a non-circular cross-sectional geometry, named multilobed to highlight the presence of niches and ridges. An oscillating perfusion bioreactor was used to perform bidirectional dynamic seeding of MG63 cells. The fiber shape influences the fluid dynamic parameters of the flow, affecting values of fluid velocity and wall shear stress. The path followed by cells through the scaffold fibers is also affected and results in a larger number of adhered cells in multilobed scaffolds compared to scaffolds with standard pseudo cylindrical fibers. Geometrical and fluid dynamic features can also have an influence on the morphology of adhered cells. The obtained results suggest that the reciprocal influence of geometrical and fluid dynamic features and their combined effect on cell trajectories should be considered to improve the dynamic seeding efficiency when designing scaffold architecture.

Computational fluid dynamic models as tools to predict aerosol distribution in tracheobronchial airways

Aerosol and pollutants, in form of particulates 5-8 μm in main size face every day our respiratory system as natural suspension in air or forced to be inhaled as a coadjutant in a medical therapy for respiratory diseases. This inhalation happens in children to elderly, women and men, healthy or sick and disable people. In this paper we analyzed the inhalation of aerosol in conditions assimilable to the thermal therapy. We use a computational fluid dynamic 3D model to compute and visualize the trajectories of aerosol (3-7-10-25 µm) down to the sixth generation of bronchi, in a steady and dynamic condition (7 µm) set as breath cycle at rest. Results, compared to a set of milestone experimental studies published in literature, allow the comprehension of particles behavior during the inhalation from mouth to bronchi sixth generation, the visualization of jet at larynx constriction and vortices, in an averaged characteristic rigorous geometrical model including tracheal rings. Results on trajectories and deposition show the importance of the including transient physiological breath cycle on aerosol deposition analyses. Numerical and graphical results, may enable the design of medical devices and protocols to make the inhalations more effective in all the users' population.

EAN consensus statement for management of patients with neurological diseases during the COVID-19 pandemic

BACKGROUND AND PURPOSE

The recent SARS-CoV-2 pandemic has posed multiple challenges to the practice of clinical neurology including recognition of emerging neurological complications and management of coexistent neurological diseases. In a fast-evolving pandemic, evidence-based studies are lacking in many areas. This paper presents European Academy of Neurology (EAN) expert consensus statements to guide neurologists caring for patients with COVID-19.

METHODS

A refined Delphi methodology was applied. In round 1, statements were provided by EAN scientific panels (SPs). In round 2, these statements were circulated to SP members not involved in writing them, asking for agreement/disagreement. Items with agreement >70% were retained for round 3, in which SP co-chairs rated importance on a five-point Likert scale. Results were graded by importance and reported as consensus statements.

RESULTS

In round one, 70 statements were provided by 23 SPs. In round two, 259/1061 SP member responses were received. Fifty-nine statements obtained >70% agreement and were retained. In round three, responses were received from 55 co-chairs of 29 SPs. Whilst general recommendations related to prevention of COVID-19 transmission had high levels of agreement and importance, opinion was more varied concerning statements related to therapy.

CONCLUSION

This is the first structured consensus statement on good clinical practice in patients with neurological disease during the COVID-19 pandemic that provides immediate guidance for neurologists. In this fast-evolving pandemic, a rapid response using refined Delphi methodology is possible, but guidance may be subject to change as further evidence emerges.

Sleep quality: a critical determinant of perceived quality of life in the administrative-technical workers of an Italian university

OBJECTIVE

This observational study aims to analyze the quality of life of the administrative/technical employees of the University of Ferrara and its relationship with sleep quality, chronotype, and family components.

PATIENTS AND METHODS

We invited all employees (528) to fill a data collection form (age, gender, education level, number of family components, being caregiver and job-related factors) and 3 anonymous questionnaires (VR-12 Health-Related Quality of Life, Pittsburgh Sleep Quality Index, and Morningness-Eveningness Questionnaire).

RESULTS

Out of 323 respondents, 72.5% were female, 76.4% had an age between 41-60 years old, 63.8% had a university degree, and 67.5% an administrative profile. Considering family-related characteristics: 81.1% of respondents lived with ≥2 people, 35.3% had children, and 31.9% declared to be caregiver of a family member, not necessarily co-housing. Most of the employees resulted to be Morning-type (48.6%) and Intermediate-type (46.8%), with a very limited group of Evening-types (4.6%). Quality of sleep resulted to be the main factor affecting the health-related quality of life. Near half of our sample had poor sleep quality (49.2%; 95% CI: 43.6-54.8%). PSQI score resulted significantly higher for people who were caregivers of a familiar (7.0 ± 3.6 vs. 6.1 ± 3.6, p=0.022). Family size and being caregiver of a familiar resulted in significant factors for sleep quality, and indirectly for health-related quality of life.

CONCLUSIONS

The quality of sleep is the most influencing parameter of the workers' quality of life. Family size and being caregiver of a family member indirectly affect the quality of life by influencing sleep quality. Appropriate consideration and management of these aspects in the working context could improve workers' well-being.

A spectroscopic and molecular dynamics study on the aggregation process of a long-acting lipidated therapeutic peptide: the case of semaglutide

The aggregation properties of semaglutide, a lipidated peptide drug agonist of the Glucagon-like peptide 1 receptor recently approved for the treatment of type 2 diabetes, have been investigated by spectroscopic techniques (UV-Vis absorption, steady-state and time-resolved fluorescence, and electronic circular dichroism) and molecular dynamics simulations. We show that in the micromolar concentration region, in aqueous solution, semaglutide is present as monomeric and dimeric species, with a characteristic monomer-to-dimer transition occurring at around 20 μM. The lipid chain stabilizes a globular morphology of the monomer and dimer species, giving rise to a locally well-defined polar outer surface where the lipid and peptide portions are packed to each other. At very long times, these peptide clusters nucleate the growth of larger aggregates characterized by blue luminescence and a β-sheet arrangement of the peptide chains. The understanding of the oligomerization and aggregation potential of peptide candidates is key for the development of long acting and stable drugs.

The international European Academy of Neurology survey on neurological symptoms in patients with COVID-19 infection

BACKGROUND AND PURPOSE

Although the main clinical features of COVID-19 infection are pulmonary, several associated neurological signs, symptoms and diseases are emerging. The incidence and characteristics of neurological complications are unclear. For this reason, the European Academy of Neurology (EAN) core COVID-19 Task Force initiated a survey on neurological symptoms observed in patients with COVID-19 infection.

METHODS

A 17-question online survey was made available on the EAN website and distributed to EAN members and other worldwide physicians starting on 9 April 2020.

RESULTS

By 27 April 2020, proper data were collected from 2343 responders (out of 4199), of whom 82.0% were neurologists, mostly from Europe. Most responders (74.7%) consulted patients with COVID-19 mainly in emergency rooms and in COVID-19 units. The majority (67.0%) had evaluated fewer than 10 patients with neurological manifestations of COVID-19 (neuro COVID-19). The most frequently reported neurological findings were headache (61.9%), myalgia (50.4%), anosmia (49.2%), ageusia (39.8%), impaired consciousness (29.3%) and psychomotor agitation (26.7%). Encephalopathy and acute cerebrovascular disorders were reported at 21.0%. Neurological manifestations were generally interpreted as being possibly related to COVID-19; they were most commonly recognized in patients with multiple general symptoms and occurred at any time during infection.

CONCLUSION

Neurologists are currently and actively involved in the management of neurological issues related to the COVID-19 pandemic. This survey justifies setting up a prospective registry to better capture the prevalence of patients with neuro COVID-19, neurological disease characteristics and the contribution of neurological manifestations to outcome.

SAT0352 AN UNSUPERVISED ANALYSIS IDENTIFIES A SPECIFIC IMPACT OF BIOLOGICS ON T LYMPHOCYTE PHENOTYPES

Background:

It is currently not known if TNF or IL-17A inhibitors have an impact on immune cell frequencies in axial Spondyloarthritis (AxSpA). This question is important to understand the impact of biologics on the immune system. Data from clinical trials didn’t show significant modification on immune cells and especially on lymphocytes. But regarding the risk of infections linked to these treatments lymphocyte cell subsets are certainly disturbed. Moreover, biologics could affect subsets of cells with an unusual phenotype.

Objectives:

To identify the phenotype of cell subsets affected by biologics.

Methods:

We used an “unsupervised approach” to analyze CD4+ T cells and CD8+T cells subsets. Contrary to a “supervised approach”, this strategy takes advantages of the fluorescence emitted by all of the surface markers used to characterize the cells at the same time. The objective was on the one hand to overcome statistical problems related to the number of patients and the repetition of the tests and on the other hand to increase the sensitivity of the analysis by identifying and analyzing new cell populations. The first step was to cluster the cells based on a selection of 12 T cells markers characteristic of the classical cell subsets and the stage of maturation to obtain cell clusters with a phenotype based on the combination of these 12 markers. Then, we were able to describe “a posteriori” the change of frequency of the clusters identified. The second step was to create a visualization of the cells affected to confirm their existence in a classical flow cytometry gate. With this pipeline, we analyzed CD4 and CD8 T cells isolated from a group of AxSpA patients (n=7) before and after 3 months of TNF therapy and a group of patients (n=6) before and after 4 months of IL-17A therapy.

Results:

We observed that after biologics CD4 and CD8 T cells frequencies did not change but there was a redistribution of the different clusters analyzed. Specifically, we identified for CD4+T cells after anti TNF treatment an increase of 2 clusters (CD4+CD27+CD45RA+Va7.2intCD161int and CD4+CD27-CD45RA-CCR6+CD161int) and a decrease of 3 clusters (CD4+CD27+CD45RA+CRTH2intCD161int, CD4+ CD27+CD45RA+CXCR3+, CD4+CD27+CD45RA+gdint CD161int) and for CD8+T cells a decrease of 1 cluster after treatment (CD8+ CD27+CD45RA+CD161+CXCR3+) and an increase of 1 cluster (CD8+ CD27+CD45RA+). The clusters affected by anti-IL-17A therapy were different. For CD4+T cells, we identified a decrease of 2 clusters (CD4+CD27+CD45RA+CXCR5+ CD161+ and CD4+CD27+CD45RA- CXCR3+CCR6+CD161+) and an increase of 2 clusters (CD4+CD27+CD45RA+gdintCD161+, CD4+CD27+ CRTH2intCCR6+) and for CD8+T cells a decrease of 1 cluster (CD8+CD27+CD45RA+ CXCR3+CRTH2intCD161int) and an increase of 1 cluster (CD8+CD27+CD45RA+CXCR3intCD161-).

Conclusion:

We identified 5 different clusters in CD4+T cells affected by anti TNF and 4 by anti-IL-17A. We identified 2 clusters in CD8+T cells affected by anti TNF and 2 by anti-IL-17A. The phenotypes of these clusters were unexpected and raised new questions about the effect of biologics in AxSpA. We were also able to create a visualization of these cells affected by biologics in a “classic gating view” which will help us to perform scRNAseq. With this unique approach, we show an impact of biologics on the frequency of very specific subset of CD4+ and CD8+ T cells in AxSpA

Figure 1.

Disclosure of Interests:

None declared

International prognostic score for asymptomatic early-stage chronic lymphocytic leukemia

Most patients with chronic lymphocytic leukemia (CLL) are diagnosed with early-stage disease and managed with active surveillance. The individual course of patients with early-stage CLL is heterogeneous, and their probability of needing treatment is hardly anticipated at diagnosis. We aimed at developing an international prognostic score to predict time to first treatment (TTFT) in patients with CLL with early, asymptomatic disease (International Prognostic Score for Early-stage CLL [IPS-E]). Individual patient data from 11 international cohorts of patients with early-stage CLL (n = 4933) were analyzed to build and validate the prognostic score. Three covariates were consistently and independently correlated with TTFT: unmutated immunoglobulin heavy variable gene (IGHV), absolute lymphocyte count higher than 15 × 109/L, and presence of palpable lymph nodes. The IPS-E was the sum of the covariates (1 point each), and separated low-risk (score 0), intermediate-risk (score 1), and high-risk (score 2-3) patients showing a distinct TTFT. The score accuracy was validated in 9 cohorts staged by the Binet system and 1 cohort staged by the Rai system. The C-index was 0.74 in the training series and 0.70 in the aggregate of validation series. By meta-analysis of the training and validation cohorts, the 5-year cumulative risk for treatment start was 8.4%, 28.4%, and 61.2% among low-risk, intermediate-risk, and high-risk patients, respectively. The IPS-E is a simple and robust prognostic model that predicts the likelihood of treatment requirement in patients with early-stage CLL. The IPS-E can be useful in clinical management and in the design of early intervention clinical trials.

Fear of cancer recurrence in haematological cancer patients: exploring socio-demographic, psychological, existential and disease-related factors

PURPOSE

This study aims to explore the relation between the dimension of fear of cancer recurrence (FCR) in haematological cancer patients relapse-free for at least 2 years and socio-demographic, related to the disease, psychological and existential factors.

METHODS

A sample of 75 haematological cancer patients agreed to participate in the study through a self-reported online questionnaire (51.9% males). A total of 70.1% had a low recurrence risk. The questionnaire included socio-demographic (gender, age, civil status, level of education and number of children), related to the disease (diagnosis, therapeutic line and years since diagnosis), psychological (anxiety and depression), existential (purpose in life; PIL) factors and Fear of Cancer Recurrence Concerns Inventory (FCRI). Simple and multiple linear regressions were conducted for the analyses, and we performed some preliminary analysis on the reliability of the FCRI.

FINDINGS

A total of 53.3% of participants showed clinical levels of FCR on the severity dimension, which was higher than found in previous research in other cancer patients. The coping strategies, triggers, severity and psychological distress dimensions showed higher mean values. Women, patients with indolent non-Hodgkin lymphomas, years since diagnosis, anxiety and purpose in life are significantly related to one or more dimensions of FCRI.

IMPLICATIONS

It is important that the clinicians have at their disposal multiple possibilities to help patients cope with haematological cancer. If future research will confirm the results of this study, the negative correlation between FCR and PIL can suggest indications for planning interventions based on a salutogenic approach.

Disentangling functional trait variation and covariation in epiphytic lichens along a continent-wide latitudinal gradient

Characterizing functional trait variation and covariation, and its drivers, is critical to understand the response of species to changing environmental conditions. Evolutionary and environmental factors determine how traits vary among and within species at multiple scales. However, disentangling their relative contribution is challenging and a comprehensive trait-environment framework addressing such questions is missing in lichens. We investigated the variation in nine traits related to photosynthetic performance, water use and nutrient acquisition applying phylogenetic comparative analyses in lichen epiphytic communities on beech across Europe. These poikilohydric organisms offer a valuable model owing to their inherent limitations to buffer contrasting environmental conditions. Photobiont type and growth form captured differences in certain physiological traits whose variation was largely determined by evolutionary processes (i.e. phylogenetic history), although the intraspecific component was non-negligible. Seasonal temperature fluctuations also had an impact on trait variation, while nitrogen content depended on photobiont type rather than nitrogen deposition. The inconsistency of trait covariation among and within species prevented establishing major resource use strategies in lichens. However, we did identify a general pattern related to the water-use strategy. Thus, to robustly unveil lichen responses under different climatic scenarios, it is necessary to incorporate both among and within-species trait variation and covariation.

[Progressive ataxia and falls in a 62 year old woman]

We discuss the diagnostic workup of a 62 year old woman without any significant past medical history. We take this opportunity to point out three aspects : 1. The necessary contextualization of the whole process allowing to avoid unrealistic differentials; 2. The requirement to prioritize the diagnostic tests as a function of their expected contribution to the diagnosis, their invasive characteristic and their availability, including their cost and 3. The evolving character of the diagnostic process that, if needed, has to be reconsidered to integrate the information obtained from the first diagnostic tests and the evolution of the patient.