Hereditary Angioedema (HAE) is a rare and disabling disease. Early diagnosis and appropriate therapy are essential. This update and revision of the global guideline for HAE provides up-to-date consensus recommendations for the management of HAE. In the development of this update and revision of the guideline, an international expert panel reviewed the existing evidence and developed 20 recommendations that were discussed, finalized and consented during the guideline consensus conference in June 2016 in Vienna. The final version of this update and revision of the guideline incorporates the contributions of a board of expert reviewers and the endorsing societies. The goal of this guideline update and revision is to provide clinicians and their patients with guidance that will assist them in making rational decisions in the management of HAE with deficient C1-inhibitor (type 1) and HAE with dysfunctional C1-inhibitor (type 2). The key clinical questions covered by these recommendations are: 1) How should HAE-1/2 be defined and classified?, 2) How should HAE-1/2 be diagnosed?, 3) Should HAE-1/2 patients receive prophylactic and/or on-demand treatment and what treatment options should be used?, 4) Should HAE-1/2 management be different for special HAE-1/2 patient groups such as pregnant/lactating women or children?, and 5) Should HAE-1/2 management incorporate self-administration of therapies and patient support measures? This article is co-published with permission in Allergy and the World Allergy Organization Journal.

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BackgroundIn Vietnam, we observed a high incidence of carbamazepine (CBZ)-induced severe cutaneous adverse drug reactions (SCARs)-Stevens-Johnson syndrome (SJS)/toxic epidermal necrolysis (TEN), and drug-induced hypersensitivity rash with eosinophilia and systemic symptoms (DRESS). In other Asian countries, HLA-B*1502 is an established risk factor for SCARs.ObjectiveThe aim of our study was to determine the frequency of HLA-B*1502 in SCARs patients at a large University Medical Center in Hanoi, Vietnam.MethodsThirty-eight cases of SCARs caused by CBZ and 25 patients with epilepsy tolerating CBZ were enrolled in a case-controlled study. Clinical manifestations and laboratory findings were recorded for each subject. Genomic DNA was isolated using the QIAamp DNA purification system. The combination of polymerase chain reaction and sequence specific oligonucleotide probes with the Luminex 100×MAP flow cytometry dual laser system was then used to quantitate fluorescently labelled oligonucleotides attached to colour-coded microbeads.ResultsCases comprised 20 SJS (52.6%), 7 TEN (18.4%), 8 overlap syndrome (21.1%), and 3 DRESS patients (7.9%). A strong association between HLA B*1502 and bullous skin reactions such as SJS/TEN and overlap was confirmed with an odds ratio (OR) of 33.78 (95% confidence interval [CI], 7.55-151.03), p < 0.0001, Sensitivity 91.4%, Specificity 76.0%, positive predictive value 84.2%, and negative predictive value 86.4%. We did not, however, observe any correlation between the presence of this allele and CBZ-induced nonbullous skin reactions (DRESS) (OR, 6.33; 95% CI, 0.48-82.74; p = 0.1592).ConclusionOur results indicate the presence of HLA-B*1502 in Vietnamese is a pharmacogenetic risk factor for developing CBZ-induced SJS/TEN.

This paper proposes a method for the reliable fault detection and classification of induction motors using two-dimensional (2D) texture features and a multiclass support vector machine (MCSVM). The proposed model first converts time-domain vibration signals to 2D gray images, resulting in texture patterns (or repetitive patterns), and extracts these texture features by generating the dominant neighborhood structure (DNS) map. The principal component analysis (PCA) is then used for the purpose of dimensionality reduction of the high-dimensional feature vector including the extracted texture features due to the fact that the high-dimensional feature vector can degrade classification performance, and this paper configures an effective feature vector including discriminative fault features for diagnosis. Finally, the proposed approach utilizes the one-against-all (OAA) multiclass support vector machines (MCSVMs) to identify induction motor failures. In this study, the Gaussian radial basis function kernel cooperates with OAA MCSVMs to deal with nonlinear fault features. Experimental results demonstrate that the proposed approach outperforms three state-of-the-art fault diagnosis algorithms in terms of fault classification accuracy, yielding an average classification accuracy of 100% even in noisy environments.

Background The finding of strong associations between certain human leukocyte antigen (HLA) genotypes and the development of severe cutaneous adverse drug reactions (SCARs), [for example, HLA-B*57:01 and abacavir (ABC), HLA-B*15:02 and carbamazepine (CBZ) and HLA-B*58:01 and allopurinol], has led to HLA screening being used to prevent SCARs. Screening has been shown to be of great benefit in a number of studies. Clinical translation from bench to bedside, however, depends upon the development of simple, rapid and cost-effective assays to detect these risk alleles. In highly populated developing countries such as Vietnam, where there is a high prevalence of HLA-B*15:02 and HLA-B*58:01 correlating with a high incidence of CBZ- and allopurinol-induced SCARs, the crucial factor in the implementation of comprehensive screening programs to detect these major risk HLA alleles is the availability of suitable assays. Body We have summarized the role and economic benefits of HLA screening, reviewed published HLA screening methods used currently in pharmacogenetic screening and examined the advantages and disadvantages of assays developed specifically for use in screening for risk alleles in the prevention of HLA-associated SCARs in Vietnam. Conclusion The optimal approach we propose may serve as a template for the development of screening programs in other emergent countries.