Atopy and Response to Omalizumab Treatment in Chronic Spontaneous Urticaria.

INTRODUCTION: The possible influence of sensitization to aeroallergens on omalizumab response in chronic spontaneous urticaria (CSU) has been insufficiently investigated. This study's aim was to investigate atopy's influence on omalizumab response in CSU patients. METHOD: Retrospective study of CSU patients followed at a Portuguese Urticaria Center of Reference and Excellence (UCARE), treated with omalizumab for at least 6 months, between 2015 and 2022. At T0, all patients underwent quantification of specific immunoglobulin E (IgE) for total extract of most prevalent aeroallergens (ImmunoCAP Thermo Fisher Scientific®) and were divided in 2 groups, according to their response to omalizumab during the first 16 weeks of treatment: responders (R) (UAS7 <7) versus partial (PR) (UAS7 = 7-15) and nonresponders (UAS7 >15). R were further classified as fast (FR) (4-6 weeks) and slow responders (SR) (12-16 weeks). Total serum IgE, circulating eosinophil, and basophil counts were compared between groups at T0. p < 0.05 was considered statistically significant (SPSS® v25.0). RESULTS: Ninety-six patients (80% female) were studied, mean age 49 ± 14 years. Median CSU duration pre-omalizumab was 3 (0.6-20) years and mean omalizumab treatment duration was 3.7 ± 2.3 years. 38 (40%) had concomitant chronic inducible urticaria and 72 (75%) angioedema. Based on positive results of the specific IgE assay, 35 patients (36%) were considered atopic. Most patients (n = 30; 86%) were sensitized to house dust mites (HDM) (Dermatophagoides farinae = 28, Dermatophagoides pteronyssinus = 27, Blomia tropicalis = 19, Lepidoglyphus destructor = 17), followed by pollens (n = 12; 34%) (mixture of grasses = 10, Olea europaea = 7, Parietaria officinalis = 6), epithelia (n = 9; 26%) (dog = 8, cat = 7), and fungi (Alternaria alternata = 4; 11%). Eight patients (23%) were monosensitized to HDM and 4 (11%) to pollens. No significant association was found between aeroallergen sensitization and CSU duration, concomitant chronic inducible urticaria, or angioedema. Atopic patients featured significantly higher levels of baseline total serum IgE than nonatopic (469 vs. 94 U/mL, respectively; p = 0.0009). Mean baseline counts of eosinophils and basophils were not significantly different between atopic and non-atopic, respectively: eosinophils (128 vs. 121/mm3) and basophils (26 vs. 28/mm3). Regarding response to omalizumab, most patients (58; 60%) were responders: FR - 46 (79%); SR - 12 (21%). There was no significant association between aeroallergen sensitization and omalizumab response or speed of response. CONCLUSIONS: As far as we know, this is the first study exploring the influence of atopy sensitization pattern on omalizumab response in CSU. According to our results, presence of atopy/sensitization pattern does not influence omalizumab response in CSU patients.

Clinical experience of a specialized urticaria outpatient clinic from a Portuguese UCARE.

Summary: Background. Chronic urticaria (CU) is a frequent disease, with a prevalence of at least 1%. It is characterized by pruritic wheals, angioedema or both for a period longer than 6 weeks. Objective. Identify the demographic, clinical, laboratory and therapeutic profile of patients treated in a Portuguese Urticaria Center of Reference and Excellence (UCARE) and compare it with international series. Methods. Retrospective analysis of database of patients observed in a specialized urticaria outpatient clinic, from January 2017 through September 2019, of a UCARE center in Portugal. Demographic and clinical features, laboratory findings and pharmacological treatment were obtained from the records. Descriptive analyses were performed for all variables. Chi square and fisher's exact tests were applied to analyze the independence of variables and the fit of distribution. P less than 0.05 was considered significant. Results. During this period, 477 patients were observed, of whom 429 (90%) were diagnosed with chronic urticaria. Mean age (years) at the onset of symptoms was 43.7 (standard deviation (SD) 17.6, range 6-88) and at diagnosis 46.7 (SD 17.8, range 6-88) resulting in an average diagnostic delay of 3 years (range 0-25). Median follow-up period since first attendance in the specialized outpatient clinic was 1.7 years (interquartile range (IQR) 0.79, range 0.1-2.75) . Concerning the whole group of CU patients, 347 (81%) had chronic spontaneous urticaria (CSU) - 79% female, 39 (9%) had isolated chronic inducible urticaria (CIndU) and 43 (10%) had CSU with CIndU. Autologous serum skin test (ASST) was done in 76 patients (positive in 24 (32%)) and basophil activation test (BAT) was done in 38 (positive in 13 (34%)). At the moment of study, 204 (48%) of CU patients were medicated with a second-generation H1-antihistamine (sgAH) daily (first-line therapy), 99 (23%) with sgAH up to four times the standard dose (second-line therapy) and 126 (29%) with omalizumab (third-line therapy). Additionally, 7 (2%) patients were completing a short course of systemic corticosteroids for management of disease exacerbation. Disease control was achieved in 316 of CSU patients (81%). Conclusions. Referral to a specialized urticaria outpatient clinic is important for a proper assessment of the disease and adequately symptom control.

The global impact of the COVID-19 pandemic on the management and course of chronic urticaria.

INTRODUCTION: The COVID-19 pandemic dramatically disrupts health care around the globe. The impact of the pandemic on chronic urticaria (CU) and its management are largely unknown. AIM: To understand how CU patients are affected by the COVID-19 pandemic; how specialists alter CU patient management; and the course of CU in patients with COVID-19. MATERIALS AND METHODS: Our cross-sectional, international, questionnaire-based, multicenter UCARE COVID-CU study assessed the impact of the pandemic on patient consultations, remote treatment, changes in medications, and clinical consequences. RESULTS: The COVID-19 pandemic severely impairs CU patient care, with less than 50% of the weekly numbers of patients treated as compared to before the pandemic. Reduced patient referrals and clinic hours were the major reasons. Almost half of responding UCARE physicians were involved in COVID-19 patient care, which negatively impacted on the care of urticaria patients. The rate of face-to-face consultations decreased by 62%, from 90% to less than half, whereas the rate of remote consultations increased by more than 600%, from one in 10 to more than two thirds. Cyclosporine and systemic corticosteroids, but not antihistamines or omalizumab, are used less during the pandemic. CU does not affect the course of COVID-19, but COVID-19 results in CU exacerbation in one of three patients, with higher rates in patients with severe COVID-19. CONCLUSIONS: The COVID-19 pandemic brings major changes and challenges for CU patients and their physicians. The long-term consequences of these changes, especially the increased use of remote consultations, require careful evaluation.

uCARE Chem Suite and uCAREChemSuiteCLI: Tools for bacterial resistome prediction.

In the era of antibiotic resistance, in silico prediction of bacterial resistome profiles, likely to be associated with inactivation of new potential antibiotics is of utmost importance. Despite this, to the best of our knowledge, no tool exists for such prediction. Therefore, under the rationale that drugs with similar structures have similar resistome profiles, we developed two models, a deterministic model and a stochastic model, to predict the bacterial resistome likely to neutralize uncharacterized but potential chemical structures. The current version of the tool involves the prediction of a resistome for Escherichia coli and Pseudomonas aeruginosa. The deterministic model on omitting two diverse but relatively less characterized drug classes, polyketides and polypeptides showed an accuracy of 87%, a sensitivity of 85%, and a precision of 89%, whereas the stochastic model predicted antibiotic classes of the test set compounds with an accuracy of 72%, a sensitivity of 75%, and a precision of 83%. The models have been implemented in both a standalone package and an online server, uCAREChemSuiteCLI and uCARE Chem Suite, respectively. In addition to resistome prediction, the online version of the suite enables the user to visualize the chemical structure, classify compounds in 19 predefined drug classes, perform pairwise alignment, and cluster with database compounds using a graphical user interface. AVAILABILITY: uCARE Chem Suite can be browsed at: https://sauravsaha.shinyapps.io/ucarechemsuite2/, and uCAREChemSuiteCLI can be installed from:1. CRAN (https://cran.r-project.org/package=uCAREChemSuiteCLI) and2. GitHub (https://github.com/sauravbsaha/uCAREChemSuiteCLI).

Chronic urticaria patients are interested in apps to monitor their disease activity and control: A UCARE CURICT analysis.

BACKGROUND: Information/communication technologies such as mobile phone applications (apps) would enable chronic urticaria (CU) patients to self-evaluate their disease activity and control. Yet, recently Antó et al (2021) reported a global paucity of such apps for patients with CU. In this analysis, we assessed patient interest in using apps to monitor CU disease activity and control using questions from the chronic urticaria information and communication technologies (CURICT) study. METHODS: The methodology for CURICT has been reported. Briefly, a 23-item questionnaire was completed by 1841 CU patients from 17 UCAREs across 17 countries. Here, we analyzed patient responses to the CURICT questions on the use of apps for urticaria-related purposes. RESULTS: As previously published, the majority of respondents had chronic spontaneous urticaria (CSU; 63%; 18% chronic inducible urticaria (CIndU) [CIndu]; 19% with both), were female (70%) and in urban areas (75%). Over half of patients were very/extremely interested in an app to monitor disease activity (51%) and control (53%), while only ∼1/10 were not. Patients with both urticaria types versus those with CSU only (odds ratio [OR], 1.36 [1.03-1.79]) and females versus males (OR [95% CI], 1.47 [1.17-1.85]) were more likely to be very to extremely interested in an app to assess disease control. CONCLUSIONS: Overall, half of the patients with CU were very to extremely interested in using an app to assess their disease activity and control. Development of well-designed apps, specific to disease types (CSU, CIndU, CSU + CIndU, etc), validated by experts across platforms would help improve the management and possibly outcomes of CU treatment while providing important patient information to be used in future research.

The usage, quality and relevance of information and communications technologies in patients with chronic urticaria: A UCARE study.

BACKGROUND: Chronic urticaria (CU) is characterized by itchy recurrent wheals, angioedema, or both for 6 weeks or longer. CU can greatly impact patients' physical and emotional quality of life. Patients with chronic conditions are increasingly seeking information from information and communications technologies (ICTs) to manage their health. The objective of this study was to assess the frequency of usage and preference of ICTs from the perspective of patients with CU. METHODS: In this cross-sectional study, 1800 patients were recruited from primary healthcare centers, university hospitals or specialized clinics that form part of the UCARE (Urticaria Centers of Reference and Excellence) network throughout 16 countries. Patients were >12 years old and had physician-diagnosed chronic spontaneous urticaria (CSU) or chronic inducible urticaria (CIndU). Patients completed a 23-item questionnaire containing questions about ICT usage, including the type, frequency, preference, and quality, answers to which were recorded in a standardized database at each center. For analysis, ICTs were categorized into 3 groups as follows: one-to-one: SMS, WhatsApp, Skype, and email; one-to-many: YouTube, web browsers, and blogs or forums; many-to-many: Instagram, Twitter, Facebook, and LinkedIn. RESULTS: Overall, 99.6% of CU patients had access to ICT platforms and 96.7% had internet access. Daily, 85.4% patients used one-to-one ICT platforms most often, followed by one-to-many ICTs (75.5%) and many-to-many ICTs (59.2%). The daily ICT usage was highest for web browsers (72.7%) and WhatsApp (70.0%). The general usage of ICT platforms increased in patients with higher levels of education. One-to-many was the preferred ICT category for obtaining general health information (78.3%) and for CU-related information (75.4%). A web browser (77.6%) was by far the most commonly used ICT to obtain general health information, followed by YouTube (25.8%) and Facebook (16.3%). Similarly, for CU-specific information, 3 out of 4 patients (74.6%) used a web browser, 20.9% used YouTube, and 13.6% used Facebook. One in 5 (21.6%) patients did not use any form of ICT for obtaining information on CU. The quality of the information obtained from one-to-many ICTs was rated much more often as very interesting and of good quality for general health information (53.5%) and CU-related information (51.5%) as compared to the other categories. CONCLUSIONS: Usage of ICTs for health and CU-specific information is extremely high in all countries analyzed, with web browsers being the preferred ICT platform.

Management of urticarial vasculitis: A worldwide physician perspective.

BACKGROUND: Urticarial vasculitis (UV) is a rare type of leukocytoclastic vasculitis characterized by long lasting urticarial skin lesions and poor response to treatment. As of yet, no clinical guidelines, diagnostic criteria, or treatment algorithms exist, and the approaches to the diagnostic workup and treatment of UV patients may differ globally. We conducted an online survey to examine how UV patients are diagnosed and treated by international specialists and to reveal the greatest challenges in managing UV patients worldwide. METHODS: Distribution of the questionnaire included an email to individuals in the World Allergy Organization (WAO) database, with no restrictions applied to the specialty, affiliation, or nationality of the participants (November 2018). The email contained a link (Internet address) to the online questionnaire. Responses were anonymous. The link to the questionnaire was further sent to the network of Urticaria Centers of Reference and Excellence (UCARE) in the Global Allergy and Asthma European Network (GA2LEN) as well as to the Turkish Dermatology Society and the Japanese Society of Allergology, who distributed the link to their members. In addition, the survey link was posted online in the group of the Russian Society of Allergologists and Immunologists. RESULTS: We received 883 completed surveys from physicians in 92 countries. UV was reported to be rare in clinical practice, with an average of 5 patients per physician per year. More than two-thirds of physicians reported wheals, burning of the skin, and residual hyperpigmentation in 60-100% of UV patients. The most frequently reported reason for receiving referrals of patients with UV was to establish the diagnosis. The most important features for establishing the diagnosis of UV were wheals of longer than 24 hours duration (72%), the results of skin biopsy (63%), and post-inflammatory hyperpigmentation (46%). The most common tests ordered in UV patients were complete blood count, erythrocyte sedimentation rate, C-reactive protein, complement components, antinuclear antibodies, and skin biopsy. Physicians considered UV to be of unknown cause in most patients, and drugs and systemic lupus erythematosus to be the most common identifiable causes. Two of 3 physicians reported that they use second-generation antihistamines in standard dose as the first-line therapy in patients with UV. The greatest perceived challenges in the management of UV were the limited efficacy of drugs and the absence of clinical guidelines and treatment algorithms. CONCLUSIONS: UV is a challenging disease. Skin biopsy, a gold standard for UV diagnosis, is not performed by many physicians. This may lead to misdiagnosis of UV, for example, as chronic spontaneous urticaria, and to inadequate treatment. International consensus-based recommendations for the classification of UV and the diagnostic workup and treatment, as well as prospective studies evaluating potentially safe and effective drugs for the treatment of UV, are necessary.

Does your species have memory? Analyzing capture-recapture data with memory models.

We examine memory models for multisite capture-recapture data. This is an important topic, as animals may exhibit behavior that is more complex than simple first-order Markov movement between sites, when it is necessary to devise and fit appropriate models to data. We consider the Arnason-Schwarz model for multisite capture-recapture data, which incorporates just first-order Markov movement, and also two alternative models that allow for memory, the Brownie model and the Pradel model. We use simulation to compare two alternative tests which may be undertaken to determine whether models for multisite capture-recapture data need to incorporate memory. Increasing the complexity of models runs the risk of introducing parameters that cannot be estimated, irrespective of how much data are collected, a feature which is known as parameter redundancy. Rouan et al. (JABES, 2009, pp 338-355) suggest a constraint that may be applied to overcome parameter redundancy when it is present in multisite memory models. For this case, we apply symbolic methods to derive a simpler constraint, which allows more parameters to be estimated, and give general results not limited to a particular configuration. We also consider the effect sparse data can have on parameter redundancy and recommend minimum sample sizes. Memory models for multisite capture-recapture data can be highly complex and difficult to fit to data. We emphasize the importance of a structured approach to modeling such data, by considering a priori which parameters can be estimated, which constraints are needed in order for estimation to take place, and how much data need to be collected. We also give guidance on the amount of data needed to use two alternative families of tests for whether models for multisite capture-recapture data need to incorporate memory.