Efeitos da deficiência de vitamina A na função pulmonar de crianças após infecção respiratória viral

Conselho Nacional de Desenvolvimento Científico e Tecnológico

O paciente com infecção de vias aéreas superiores. Quando anestesiar?

JUSTIFICATIVA E OBJETIVOS: Anestesiar, com segurança, a criança com infecção de vias aéreas superiores (IVAS) constitui um dos grandes desafios do anestesiologista. A finalidade deste artigo é discutir a validade de anestesiar e quando anestesiar a criança com IVAS. CONTEÚDO: Estão ressaltados a importância da história clínica na investigação pré-operatória, os fatores que contribuem para o aparecimento de complicações no per e no pós-operatório, assim como o tipo de cirurgia e a técnica anestésica que favorecem estas complicações. CONCLUSÕES: O conhecimento das alterações no trato respiratório que acontecem após IVAS, da importância da avaliação correta da gravidade dos sintomas, dos fatores que podem contribuir para o aparecimento de complicações e da melhor técnica anestésica possibilita a seleção de pacientes com menor risco de desenvolver complicações no período per-operatório.

Validation of the English version of the UNESP-Botucatu multidimensional composite pain scale for assessing postoperative pain in cats

Background: A scale validated in one language is not automatically valid in another language or culture. The purpose of this study was to validate the English version of the UNESP-Botucatu multidimensional composite pain scale (MCPS) to assess postoperative pain in cats. The English version was developed using translation, back-translation, and review by individuals with expertise in feline pain management. In sequence, validity and reliability tests were performed.Results: Of the three domains identified by factor analysis, the internal consistency was excellent for 'pain expression' and 'psychomotor change' (0.86 and 0.87) but not for 'physiological variables' (0.28). Relevant changes in pain scores at clinically distinct time points (e.g., post-surgery, post-analgesic therapy), confirmed the construct validity and responsiveness (Wilcoxon test, p < 0.001). Favorable correlation with the IVAS scores (p < 0.001) and moderate to very good agreement between blinded observers and 'gold standard' evaluations, supported criterion validity. The cut-off point for rescue analgesia was > 7 (range 0-30 points) with 96.5% sensitivity and 99.5% specificity.Conclusions: The English version of the UNESP-Botucatu-MCPS is a valid, reliable and responsive instrument for assessing acute pain in cats undergoing ovariohysterectomy, when used by anesthesiologists or anesthesia technicians. The cut-off point for rescue analgesia provides an additional tool for guiding analgesic therapy. © 2013 Brondani et al.; licensee BioMed Central Ltd.

Manejo da via aérea para anestesia em crianças com infecção do trato respiratório superior: revisão sistemática e meta-análise para complicações perioperatórias

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Monitoreo de áreas marinas protegidas en el Pacífico Sur de Costa Rica

Universidad de Las Palmas de Gran Canaria. Departamento de Biología. Programa de doctorado Ecología y gestión de recursos vivos marinos

Statistical Dialog Management for Health Interventions

Research endeavors on spoken dialogue systems in the 1990s and 2000s have led to the deployment of commercial spoken dialogue systems (SDS) in microdomains such as customer service automation, reservation/booking and question answering systems. Recent research in SDS has been focused on the development of applications in different domains (e.g. virtual counseling, personal coaches, social companions) which requires more sophistication than the previous generation of commercial SDS. The focus of this research project is the delivery of behavior change interventions based on the brief intervention counseling style via spoken dialogue systems. Brief interventions (BI) are evidence-based, short, well structured, one-on-one counseling sessions. Many challenges are involved in delivering BIs to people in need, such as finding the time to administer them in busy doctors' offices, obtaining the extra training that helps staff become comfortable providing these interventions, and managing the cost of delivering the interventions. Fortunately, recent developments in spoken dialogue systems make the development of systems that can deliver brief interventions possible. The overall objective of this research is to develop a data-driven, adaptable dialogue system for brief interventions for problematic drinking behavior, based on reinforcement learning methods. The implications of this research project includes, but are not limited to, assessing the feasibility of delivering structured brief health interventions with a data-driven spoken dialogue system. Furthermore, while the experimental system focuses on harmful alcohol drinking as a target behavior in this project, the produced knowledge and experience may also lead to implementation of similarly structured health interventions and assessments other than the alcohol domain (e.g. obesity, drug use, lack of exercise), using statistical machine learning approaches. In addition to designing a dialog system, the semantic and emotional meanings of user utterances have high impact on interaction. To perform domain specific reasoning and recognize concepts in user utterances, a named-entity recognizer and an ontology are designed and evaluated. To understand affective information conveyed through text, lexicons and sentiment analysis module are developed and tested.