Pollen food allergy syndrome secondary to molds and raw mushroom cross-reactivity: a case report.

BACKGROUND: Pollen food allergy syndrome (PFAS) is an immunoglobulin E (IgE) mediated reaction that causes oropharyngeal pruritus or angioedema due to homologous proteins present in the culprit food as well as a sensitizing aeroallergen. This cross-reactivity has been well established between pollen and fruits/vegetables. Given the evolutionary similarity between all fungi; cross-reactivity between spore forming microfungi and edible macrofungi have been suggested, however only a limited number of case reports have ever been published on this phenomenon. We present a case of a patient who experiences pollen food allergy syndrome-like symptoms following lightly cooked mushroom ingestion who otherwise was able to tolerate cooked mushrooms. We then review the literature to highlight the limited studies of an underrecognized PFAS cross-reactivity between molds and mushrooms. CASE PRESENTATION: A 15-year-old male presents with symptoms of seasonal and perennial allergic rhinitis was found to have multiple environmental sensitizations to molds via skin prick testing (C. gramineum, A. Pullulans and B. cinerea) and ImmunoCAP serum-specific IgE (A. alternata, C. herbarum, and P. notatum). He developed throat pruritus and subjective throat tightness following ingestion of mushroom containing pizza. ImmunoCAP serum specific IgE to whole mushroom was negative but fresh food prick testing to fresh portobello mushroom and cremini mushroom were both positive with a negative test to canned mushroom. The patient then underwent a graded oral challenge and successfully tolerated canned mushrooms. CONCLUSION: This case highlights the potential cross-reactivity between microfungi aeroallergens and edible fungi, leading to PFAS-like reactions in susceptible individuals. The patient's ability to tolerate canned mushrooms suggests a possible heat-labile protein as the cause of the reaction, similar to PFAS patients tolerating cooked but not raw fruits/vegetables. Positive skin prick test to both spore-forming fungi and edible fungi with negative and whole mushroom IgE results further support the hypothesis of cross-reactivity and sensitization. Further research is needed to identify the specific allergenic proteins involved in these cross-reactions and the susceptible species of mold and mushroom. Understanding these components will contribute to improved diagnosis and management of mold and mushroom allergies, and enhance our knowledge of allergenic cross-reactivity in general.

Telemedicine in allergy/immunology in the era of COVID-19: a Canadian perspective.

BACKGROUND: In the era of COVID-19, utilization of telemedicine has dramatically increased. In addition to reduced travel times, patient expenses, and work or school days missed, telemedicine allows clinicians to provide continued care while minimizing face-to-face interactions, maintaining social distancing, and limiting potential COVID-19 exposures. Clinical Immunology and Allergy (CIA), like many specialties, has adapted to incorporate telemedicine into practice. Previous studies have demonstrated similar patient satisfaction between virtual and in-person visits. However, evidence from fully publicly funded health care systems such as Canada has been limited. METHODS: We performed a quality improvement (QI) initiative to assess the feasibility of telemedicine. Between 1 March and 30 September 2020, patient encounters of two academic allergists at a single institution in London, Ontario, Canada were analyzed. Assessments were categorized into in-person or telemedicine appointments. A random sample of patients assessed virtually completed a voluntary patient satisfaction survey. Qualitative analysis was performed on survey comments. RESULTS: In total 3342 patients were seen. The majority were adults (n = 2162, or 64.7%) and female (n = 1872, or 56%). 1543 (46.2%) assessments were virtual and 1799 (53.8%) assessments were in-person. 67 of 100 random patient surveys sent to those in the virtual assessment group were completed. 89.6% (n = 60) agreed or strongly agreed when asked if they were satisfied with their telemedicine visit. 64.2% (n = 43) felt they received the same level of care compared to in-person assessments and 91% (n = 61) stated they would attend another virtual appointment. 95.4% (n = 62) of patients reported saving time with virtual assessment, the majority (n = 42, 62.7%) estimating between 1-4 h saved. Reported shortcomings included technical difficulties, "feeling rushed", and missing in-person interactions. CONCLUSIONS: Our quality improvement initiative demonstrated high patient satisfaction and time savings with virtual assessment in a publicly funded health care system. Studies suggest that CIA may be uniquely situated to benefit from permanent integration of virtual care into regular practice for both new and follow-up appointments. We anticipate continued increased utilization of telemedicine, signifying a lasting beneficial change in the delivery of healthcare.

Systemic reactions to subcutaneous allergen immunotherapy: real-world cause and effect modelling.

BACKGROUND: Subcutaneous immunotherapy (SCIT) is an effective treatment for allergic rhinoconjunctivitis. However, adverse events, including life-threatening systemic reactions, may occur. The purpose of this project is to identify risk factors for systemic reactions to SCIT and to provide practice-based solutions using a quality improvement (QI) framework. METHODS: A QI initiative was performed in a hospital-based, Canadian Allergy clinic administering SCIT in a 12-month period. RESULTS: A total of 4242 injections of SCIT were performed over a period of 12 months. Of these, 10 injections resulted in a systemic reaction requiring epinephrine administration (i.e., an incidence of 1 in 424 injections, or 0.24%). Eight patients had at least one documented risk factor for a systemic reaction, and six had multiple risk factors. Major risk factors included seasonal exacerbation of allergic rhinitis, uncontrolled asthma, and an error in route of administration. All reactions occurred with the highest allergen extract concentration. CONCLUSION: This QI initiative highlights the need for improved patient and health care practitioner education and pre-administration screening. We suggest several considerations for SCIT administration: provide patients with written information on safety; screen patients before injections, including a review of treatment plan adherence and asthma control; adjust dosing to slow down buildup of the most concentrated immunotherapy extract, particularly in high risk patients; and apply additional safety measures in patients with multiple risk factors.

Early Warning Scheme of COVID-19 related Internet Public Opinion based on RVM-L Model.

Internet public opinion is affected by many factors corresponding to insufficient data in the very short period, especially for emergency events related to the outbreak of coronavirus disease 2019 (COVID-19). To effectively support real-time analysis and accurate prediction, this paper proposes an early warning scheme, which comprehensively considers the multiple factors of Internet public opinion and the dynamic characteristics of burst events. A hybrid relevance vector machine and logistic regression (RVM-L) model is proposed that incorporates multivariate analysis, which adopts Lagrange interpolation to fill in the gaps and improve the forecasting effect based on insufficient data for COVID-19-related events. In addition, a novel metric critical interval is introduced to improve the early warning performance. Detailed experiments show that compared with existing schemes, the proposed RVM-L-based early warning scheme can achieve the prediction accuracy up to 96%, and the intervention within the critical interval can reduce the number of public opinions by 60%.

Successful olaparib desensitization using a novel one-day protocol.

BACKGROUND: Olaparib is a revolutionary treatment for patients with ovarian and breast cancer. Currently, there is no established 1-day drug desensitization protocol for patients with olaparib type-1 hypersensitivity reactions despite well documented IgE-mediated adverse reactions occurring with olaparib. CASE PRESENTATION: We report a 58-year-old female with immediate, reproducible IgE-mediated adverse reactions to olaparib tablets with implementation of a 1-day novel desensitization protocol to olaparib. Following desensitization, the patient was successfully transitioned from olaparib capsules to tablets with no loss of tolerance. CONCLUSIONS: To our knowledge, this is the first reported case of successful olaparib desensitization using a novel 1-day desensitization protocol, and will contribute to drug allergy knowledge, in an area where robust data is lacking. This case demonstrates the important role for drug desensitization in patients with immediate hypersensitivity reactions to chemotherapeutic agents. Furthermore, as olaparib capsules are being phased out in favour of olaparib tablets, we provide a clear case that transitioning from capsule to tablet form did not cause a loss of tolerance.

Language model-based automatic prefix abbreviation expansion method for biomedical big data analysis.

In biomedical domain, abbreviations are appearing more and more frequently in various data sets, which has caused significant obstacles to biomedical big data analysis. The dictionary-based approach has been adopted to process abbreviations, but it cannot handle ad hoc abbreviations, and it is impossible to cover all abbreviations. To overcome these drawbacks, this paper proposes an automatic abbreviation expansion method called LMAAE (Language Model-based Automatic Abbreviation Expansion). In this method, the abbreviation is firstly divided into blocks; then, expansion candidates are generated by restoring each block; and finally, the expansion candidates are filtered and clustered to acquire the final expansion result according to the language model and clustering method. Through restrict the abbreviation to prefix abbreviation, the search space of expansion is reduced sharply. And then, the search space is continuous reduced by restrained the effective and the length of the partition. In order to validate the effective of the method, two types of experiments are designed. For standard abbreviations, the expansion results include most of the expansion in dictionary. Therefore, it has a high precision. For ad hoc abbreviations, the precisions of schema matching, knowledge fusion are increased by using this method to handle the abbreviations. Although the recall for standard abbreviation needs to be improved, but this does not affect the good complement effect for the dictionary method.

Node Location Privacy Protection Based on Differentially Private Grids in Industrial Wireless Sensor Networks.

Wireless sensor networks (WSNs) are widely applied in industrial application with the rapid development of Industry 4.0. Combining with centralized cloud platform, the enormous computational power is provided for data analysis, such as strategy control and policy making. However, the data analysis and mining will bring the issue of privacy leakage since sensors will collect varieties of data including sensitive location information of monitored objects. Differential privacy is a novel technique that can prevent compromising single record benefits. Geospatial data can be indexed by a tree structure; however, existing differentially private release methods pay no attention to the concrete analysis about the partition granularity of data domains. Based on the overall analysis of noise error and non-uniformity error, this paper proposes a data domain partitioning model, which is more accurate to choose the grid size. A uniform grid release method is put forward based on this model. In order to further reduce the errors, similar cells are merged, and then noise is added into the merged cells. Results show that our method significantly improves the query accuracy compared with other existing methods.

Oral morphine versus ibuprofen administered at home for postoperative orthopedic pain in children: a randomized controlled trial.

BACKGROUND: Oral morphine for postoperative pain after minor pediatric surgery, while increasingly popular, is not supported by evidence. We evaluated whether oral morphine was superior to ibuprofen for at-home management of children's postoperative pain. METHODS: We conducted a randomized superiority trial comparing oral morphine (0.5 mg/kg) with ibuprofen (10 mg/kg) in children 5 to 17 years of age who had undergone minor outpatient orthopedic surgery (June 2013 to September 2016). Participants took up to 8 doses of the intervention drug every 6 hours as needed for pain at home. The primary outcome was pain, according to the Faces Pain Scale - Revised, for the first dose. Secondary outcomes included additional analgesic requirements, adverse effects, unplanned health care visits and pain scores for doses 2 to 8. RESULTS: We analyzed data for 77 participants in each of the morphine and ibuprofen groups. Both interventions decreased pain scores with no difference in efficacy. The median difference in pain score before and after the first dose of medication was 1 (interquartile range 0-1) for both morphine and ibuprofen (p = 0.2). For doses 2 to 8, the median differences in pain score before and after the dose were not significantly different between groups. Significantly more participants taking morphine reported adverse effects (45/65 [69%] v. 26/67 [39%], p < 0.001), most commonly drowsiness (31/65 [48%] v. 15/67 [22%] in the morphine and ibuprofen groups, respectively; p = 0.003). INTERPRETATION: Morphine was not superior to ibuprofen, and both drugs decreased pain with no apparent difference in efficacy. Morphine was associated with significantly more adverse effects, which suggests that ibuprofen is a better first-line option after minor surgery. TRIAL REGISTRATION: ClinicalTrials.gov, no. NCT01686802.

Trends of spinal tuberculosis research (1994-2015): A bibliometric study.

BACKGROUND: Spinal tuberculosis is the most common form of skeletal tuberculosis. However, there were limited data to evaluate the trend of spinal tuberculosis research. This study aims to investigate the trend of spinal tuberculosis research and compare the contribution of research from different countries and authors. METHODS: Spinal tuberculosis-related publications from 1994 to 2015 were retrieved from the Web of Science database. Excel 2013, GraphPad Prism 5, and VOSviewer software were used to analyze the search results for number of publications, cited frequency, H-index, and country contributions. RESULTS: A total of 1558 papers were identified and were cited 16,152 times as of January 25, 2016. The United States accounted for 15.1% of the articles, 22.3% of the citations, and the highest H-index (33). China ranked third in total number of articles, fifth in citation frequency (815), and ranked seventh in H-index (13). The journal Spine (IF 2.297) had the highest number of publications. The author Jain A.K. has published the most papers in this field (20). The article titled "Tuberculosis of the spine: Controversies and a new challenge" was the most popular article and cited a total of 1138 times. The keyword "disease" was mentioned the most for 118 times and the word "bone fusion" was the latest hotspot by 2015. CONCLUSION: Literature growth in spinal tuberculosis is slowly expanding. Although publications from China are increasing, the quality of the articles still requires improvements. Meanwhile, the United States continues to be the largest contributor in the field of spinal tuberculosis. According to our bibliometric study, bone fusion may be an emerging topic within spinal tuberculosis research and is something that should be closely observed.