Search

Currently, testing for immunoglobulin E (IgE) sensitization is the cornerstone of diagnostic evaluation in suspected allergic conditions. This review provides a thorough and updated critical appraisal of the most frequently used diagnostic tests, both in vivo and in vitro. It discusses skin tests, challenges, and serological and cellular in vitro tests, and provides an overview of indications, advantages and disadvantages of each in conditions such as respiratory, food, venom, drug, and occupational allergy. Skin prick testing remains the first line approach in most instances; the added value of serum specific IgE to whole allergen extracts or components, as well as the role of basophil activation tests, is evaluated. Unproven, non-validated, diagnostic tests are also discussed. Throughout the review, the reader must bear in mind the relevance of differentiating between sensitization and allergy; the latter entails not only allergic sensitization, but also clinically relevant symptoms triggered by the culprit allergen.

Precision allergy molecular diagnostic applications (PAMD@) is increasingly entering routine care. Currently, more than 130 allergenic molecules from more than 50 allergy sources are commercially available for in vitro specific immunoglobulin E (sIgE) testing. Since the last publication of this consensus document, a great deal of new information has become available regarding this topic, with over 100 publications in the last year alone. It thus seems quite reasonable to publish an update. It is imperative that clinicians and immunologists specifically trained in allergology keep abreast of the new and rapidly evolving evidence available for PAMD@. PAMD@ may initially appear complex to interpret; however, with increasing experience, the information gained provides relevant information for the allergist. This is especially true for food allergy, Hymenoptera allergy, and for the selection of allergen immunotherapy. Nevertheless, all sIgE tests, including PAMD@, should be evaluated within the framework of a patient's clinical history, because allergen sensitization does not necessarily imply clinical relevant allergies.

Currently, testing for immunoglobulin E (IgE) sensitization is the cornerstone of diagnostic evaluation in suspected allergic conditions. This review provides a thorough and updated critical appraisal of the most frequently used diagnostic tests, both in vivo and in vitro. It discusses skin tests, challenges, and serological and cellular in vitro tests, and provides an overview of indications, advantages and disadvantages of each in conditions such as respiratory, food, venom, drug, and occupational allergy. Skin prick testing remains the first line approach in most instances; the added value of serum specific IgE to whole allergen extracts or components, as well as the role of basophil activation tests, is evaluated. Unproven, non-validated, diagnostic tests are also discussed. Throughout the review, the reader must bear in mind the relevance of differentiating between sensitization and allergy; the latter entails not only allergic sensitization, but also clinically relevant symptoms triggered by the culprit allergen.

This paper studies novel subgoaling relaxations for automated planning with propositional and numeric state variables. Subgoaling relaxations address one source of complexity of the planning problem: the requirement to satisfy conditions simultaneously. The core idea is to relax this requirement by recursively decomposing conditions into atomic subgoals that are considered in isolation. Such relaxations are typically used for pruning, or as the basis for computing admissible or inadmissible heuristic estimates to guide optimal or satisficing heuristic search planners. In the last decade or so, the subgoaling principle has underpinned the design of an abundance of relaxation-based heuristics whose formulations have greatly extended the reach of classical planning. This paper extends subgoaling relaxations to support numeric state variables and numeric conditions. We provide both theoretical and practical results, with the aim of reaching a good trade-off between accuracy and computation costs within a heuristic state-space search planner. Our experimental results validate the theoretical assumptions, and indicate that subgoaling substantially improves on the state of the art in optimal and satisficing numeric planning via forward state-space search.

Background Knowledge regarding differences in care for psoriatic patients is limited. The aim of this study was to investigate factors influencing prescription of systemic treatments for patients with psoriasis with a special focus on socioeconomic factors. Methods and findings This was a non-interventional, cross-sectional study, conducted in 18 Italian University and/ or hospital centers with psoriasis-specialized units. Questionnaires evaluating demographic and socioeconomic characteristics were administered to participants. Overall, 1880 consecutive patients affected by mild-to-severe psoriasis were recruited. Univariate and multivariable logistic regression analyses of systemic therapy prescription, with a special focus on biologics, accounting for the above mentioned characteristics were performed. Our analysis showed that all analyzed patients' characteristics were significantly associated with biological therapy compared to non-biological systemic one. Particularly, women were less likely to receive biologics than men (OR = 0.66; 95% CI, 0.57-0.77). Elderly patients (≥65 years) and subjects with a BMI ≥30 had lower odds to receive biologics respect to adults (≥35-64 years) (OR = 0.33; 95% CI, 0.25-0.40), and subjects with BMI≥25<30 (OR = 0.64; 95% CI, 0.53-0.77), respectively. Northern and Southern patients were both less likely to receive biologics than Central patients (OR = 0.75; 95% CI, 0.63-0.89, and OR = 0.56; 95% CI,0.47-0.68, respectively). Lower economic profile and never reading books were both associated with decreased odds of receiving biological therapy. Conclusions This study shows that sex, age, comorbidities, and socioeconomic characteristics influence the prescription of systemic treatments in psoriasis, highlighting that there are still unmet needs influencing the therapeutic decision-making process that have to be addressed.

Background: Peach gibberellin-regulated protein (peamaclein) has recently emerged as a relevant food allergen in cypress pollen-hypersensitive patients. Objective: We looked for mono-sensitization to peamaclein among Italian cypress-pollen allergic patients. Material and methods: 835 cypress pollen hypersensitive patients from 28 Italian allergy centers under went thorough interview for food-allergic reactions, and SPT with a commercial peach extracts containing peamaclein. In peach reactors, IgE to rPru p 3 was measured, and those scoring negative were enrolled as potentially mono-sensitized to peamaclein. IgE reactivity to rPru p 7 was evaluated by immunoblot and by an experimental ImmunoCAP with rPru p 7. Results: Peach SPT scored positive in 163 (19.5%) patients but 127 (77,9%) were excluded because Pru p 3 reactors. Twenty-four (14,7%, corresponding to 2.8% of the entire study population) were considered as potentially mono-sensitized to peamaclein. Their distribution did not show any geographic preference. Seventeen/24 (70,8%) had a history of food allergy, in most cases (n=15) to peach. Other offending foods included other Rosaceae, citrus fruits, fig, melon, tree nuts, and kiwi. On peach immunoblot, only 3/18 putative peamaclein allergic subjects reacted to a band at about 7kDa; 4 other patients reacted at about 50-60 kDa. Ten/18 (56%) scored positive for Pru p 7 on ImmunoCAP. Conclusion: Peamaclein allergy and sensitization prevalence seem rare in Italy. Most patients react to peach, albeit other Rosaceae fruits and several citrus fruits may also act as offending foods. Peach and cypress pollen probably share also cross-reacting allergens other than peamaclein.

The clinical usefulness of two commercial peach extracts for SPT (by Lofarma SpA and ALK-Abellò, respectively) was compared in a multicenter study carried out in Italy. Peach allergic patients were tested with the two extracts in parallel and underwent the detection of IgE specific for all three peach allergens currently available (Pru p 1, Pru p 3, and Pru p4, respectively). The two extracts were almost identical in terms of sensitivity and specificity, being able to detect virtually all patients sensitized to stable peach allergens (lipid transfer protein [LTP] and, presumably, peamaclein) but scoring negative in patients exclusively sensitive to labile allergens (either PR-10 and/or profilin). Thus, the two extracts represent an excellent tool to carry out a preliminary component-resolved diagnosis of peach allergy at the first patient visit

Background: Ixekizumab (anti-IL-17A) is a biological agent used for the treatment of moderate-to-severe psoriasis. Real-life data on the effectiveness and safety of ixekizumab are currently scarce. Objective: The objective of this study was to evaluate the effectiveness and safety of ixekizumab in a cohort of psoriatic and psoriatic arthritis patients. Methods: We conducted a retrospective study involving 201 patients affected by moderate-to-severe psoriasis and treated with ixekizumab at seven Italian University centers. Data analysis focused on 110 patients who started ixekizumab at baseline and completed at least 24 weeks of treatment. Results: Significant reduction of mean (± standard deviation) baseline Psoriasis Area Severity Index (PASI) score (14.3 ± 5.8) was detected at 4 weeks of ixekizumab therapy (4.9 ± 4.2, p < 0.001), with a further significant improvement at weeks 12 and 24 (1.9 ± 2.9 and 0.9 ± 1.6, respectively) (p < 0.001). Our analysis showed 90%, 72%, and 57% of patients achieving PASI 75, 90, and 100 responses (75%, 90%, and 100% reduction in PASI score), respectively, after 24 weeks’ therapy. For patients with arthritis (28%), a significant reduction in the mean (± standard deviation) baseline Disease Activity Score (DAS)-28 score (4.6 ± 5.1) was detected at week 4 (2.5 ± 3.9, p < 0.01), with a further significant improvement at weeks 12 and 24 (2.1 ± 1.2 and 1.4 ± 0.9, respectively) (p < 0.001). The bio-naïve group showed significantly higher PASI 90 and 100 response rates at week 12 than the bio-exposed one (p < 0.05). This trend in terms of PASI 100 response was also maintained at week 24 (p < 0.05). Furthermore, PASI 90 responses were significantly higher in anti-interleukin (IL)-17A-naïve patients at week 24 than in anti-IL-17A-experienced ones (p < 0.05). The dropout rate for adverse events (AEs) was as low as 2% (2/110), while AEs that did not cause treatment in

Summary:Background and Objective. Sensitization and allergy to shrimp among Italian house dust mite allergic patients are not well defined and were investigated in a large multicenter study. Methods. Shrimp sensitization and allergy were assessed in 526 house dust mite (HDM)-allergic patients submitted to the detection of IgE to Der p 10 and 100 atopic control not sensitized to HDM. Results. Shrimp allergy occurred in 9% of patients (vs 0% of 100 atopic controls not sensitized to HDM; p minor 0.001). Shrimp-allergic patients were less frequently hypersensitive to airborne allergens other than HDM than crustacean-tolerant subjects (35% vs 58.8%; p minor 0.005). Only 51% of tropomyosin-sensitized patients had shrimp allergy, and these showed significantly higher Der p 10 IgE levels than shrimp-tolerant ones (mean 22.2 KU/l vs 6.2 KU/l; p minor 0.05). Altogether 53% of shrimp-allergic patients did not react against tropomyosin. Conclusions. Shrimp allergy seems to occur uniquely in association with hypersensitivity to HDM allergens and tropomyosin is the main shrimp allergen but not a major one, at least in Italy. Along with tropomyosin-specific IgE levels, monosensitization to HDM seems to represent a risk factor for the development of shrimp allergy among HDM allergic patients.

The automatic generation of realistic behaviour such as tactical intercepts for Unmanned Aerial Vehicles (UAV) in air combat is a challenging problem. State-of-the-art solutions propose handcrafted algorithms and heuristics whose performance depends heavily on the initial conditions and aerodynamic properties of the UAVs involved. This paper shows how to employ domain-independent planners, embedded into professional multi-agent simulations, to implement two-level Model Predictive Control (MPC) hybrid control systems for simulated UAVs. We compare the performance of controllers using planners with others based on behaviour trees that implement real world tactics. Our results indicate that hybrid planners derive novel and effective tactics from first principles inherent to the dynamical constraints UAVs are subject to.