In vitro activity of EDTA and TOL-463 against Neisseria gonorrhoeae

Neisseria gonorrhoeae quickly develops drug resistance. Time-kill curves revealed that EDTA and TOL-463 inhibit growth similar to penicillin, ciprofloxacin, and azithromycin. Furthermore, synergistic and additive antimicrobial interactions occurred when EDTA and TOL-463 were combined with penicillin or azithromycin, respectively, suggesting that further investigations into these unconventional antimicrobials may be advantageous.     

Recognition of medication information from discharge summaries using ensembles of classifiers

ABSTRACT: BACKGROUND: Extraction of clinical information such as medications or problems from clinical text is an important task of clinical natural language processing (NLP). Rule-based methods are often used in clinical NLP systems because they are easy to adapt and customize. Recently, supervised machine learning methods have proven to be effective in clinical NLP as well. However, combining different classifiers to further improve the performance of clinical entity recognition systems has not been investigated extensively. Combining classifiers into an ensemble classifier presents both challenges and opportunities to improve performance in such NLP tasks. METHODS: We investigated ensemble classifiers that used different voting strategies to combine outputs from three individual classifiers: a rule-based system, a support vector machine (SVM) based system, and a conditional random field (CRF) based system. Three voting methods were proposed and evaluated using the annotated data sets from the 2009 i2b2 NLP challenge: simple majority, local SVM-based voting, and local CRF-based voting. RESULTS: Evaluation on 268 manually annotated discharge summaries from the i2b2 challenge showed that the local CRF-based voting method achieved the best F-score of 90.84% (94.11% Precision, 87.81% Recall) for 10-fold cross-validation. We then compared our systems with the first-ranked system in the challenge by using the same training and test sets. Our system based on majority voting achieved a better F-score of 89.65% (93.91% Precision, 85.76% Recall) than the previously reported F-score of 89.19% (93.78% Precision, 85.03% Recall) by the first-ranked system in the challenge. CONCLUSIONS: Our experimental results using the 2009 i2b2 challenge datasets showed that ensemble classifiers that combine individual classifiers into a voting system could achieve better performance than a single classifier in recognizing medication information from clinical text. It suggests that simple strategies that can be easily implemented such as majority voting could have the potential to significantly improve clinical entity recognition.     

Marche allergique chez l’enfant,de la rhinite à l’asthme : prise en charge,place de la désensibilisation

Allergic rhinitis (AR) is a common IgE dependent disorder. AR is maybe one of the steps of the allergic march, which starts with atopic dermatitis and food allergy and includes atopic asthma. AR and asthma are frequently associated. AR is frequently under-diagnosed and undertreated although it affects quality of life and school performance. Management of AR depends on its severity and will associate environmental control (best guided by environmental investigation and skin testing of specific IgE antibodies), pharmacotherapy (with antihistamines and intranasal corticosteroids as first line drugs). At present allergen immunotherapy is considered in patients with severe AR, insufficiently controlled by pharmacotherapy and who demonstrate specific IgE antibodies to relevant allergens. Sublingual immunotherapy is well tolerated. Only immunotherapy with the right allergens has the potential to alter the natural history of the allergic march, by preventing the development of new allergen sensitizations and reducing the risk for the subsequent development of asthma. This fact might extend the indications of specific allergen immunotherapy. Patients (and parents) education is of utmost importance in the management of allergic disorders.     

Community Member and Faith Leader Perspectives on the Process of Building Trusting Relationships between Communities and Researchers

In the first phase of this research, we conducted, audio‐recorded, and transcribed seven focus groups with more than 50 English‐ or Spanish‐speaking women of childbearing age. Qualitative analysis revealed the following themes: (1) expectation that participation would involve relationships based on trust that is built over time and impacted by cultural factors; (2) perceived characteristics of research staff that would help facilitate the development of trusting relationships; (3) perceptions about the location of the visits that may affect trust; (4) perceptions of a research study and trust for the institution conducting the study may affect trust; (5) connecting the study to larger communities, including faith communities, could affect trust and willingness to participate. In the second phase of this research, we conducted, recorded, transcribed, and analyzed interviews with leaders from diverse faith communities to explore the potential for research partnerships between researchers and faith communities. In addition to confirming themes identified in focus groups, faith leaders described an openness to research partnerships between the university and faith communities and considerations for the formation of these partnerships. Faith leaders noted the importance of finding common ground with researchers, establishing and maintaining trusting relationships, and committing to open, bidirectional communication.