Uma análise clinimétrica dos índices articular extra-articular do Juvenile Arthritis Damage Index(JADI-A e JADI-E) na artrite isiopática juvenil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Progression of articular and extraarticular damage in oligoarticular juvenile idiopathic arthritis

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Chronic active disease pattern predicts early damage in juvenile systemic lupus erythematosus

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Chlorination treatment of aqueous samples reduces, but does not eliminate, the mutagenic effect of the azo dyes Disperse Red 1, Disperse Red 13 and Disperse Orange 1

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Validation of the portuguese simple measure of impact of lupus erythematosus in youngsters (SMILEY) in Brazil

Background and Objective: Simple Measure of the Impact of Lupus Erythematosus in Youngsters (SMILEY) is a health-related quality of life (HRQOL) assessment tool for pediatric systemic lupus erythematosus (SLE), which has been translated into Portuguese for Brazil. We are reporting preliminary data on cross-cultural validation and reliability of SMILEY in Portuguese (Brazil). Methods: In this multi-center cross-sectional study, Brazilian children and adolescents 5-18 years of age with SLE and parents participated. Children and parents completed child and parent reports of Portuguese SMILEY and Portuguese Pediatric Quality of Life Inventory (PedsQLTM) Generic and Rheumatology modules. Parents also completed the Childhood Health Assessment Questionnaire (CHAQ). Physicians completed the SLE disease activity index (SLEDAI), Physician's Global Assessment of disease activity (PGA) and Systemic Lupus Erythematosus International Collaborating Clinics ACR Damage Index (SDI). Results: 99 subjects (84 girls) were enrolled; 93 children and 97 parents filled out the SMILEY scale. Subjects found SMILEY relevant and easy to understand and completed SMILEY in 5-15 minutes. Brazilian SMILEY was found to have good psychometric properties (validity and reliability), and the child-parent agreement was moderate. Conclusion: SMILEY may eventually be used routinely as a research/clinical tool in Brazil. It may be also adapted for other Portuguese-speaking nations offering critical information regarding the effect of SLE on HRQOL for children with SLE. © The Author(s), 2012.

Avaliação dos efeitos de diferentes manobras de fisioterapia respitatória no desfecho de pacientes ventilados mecanicamente

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Monitoramento da integridade em estruturas aeronáuticas

Pós-graduação em Engenharia Mecânica - FEIS

Avaliação clinimétrica do desfecho em uma série de casos de Lúpus Eritomatoso Sistêmico Juvenil (LESJ)

Pós-graduação em Saúde Coletiva - FMB

Quality of cut and basecutter blade configuration for the mechanized harvest of green sugarcane

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Ferramentas da qualidade na colheita mecanizada de cana-de-açúcar

Pós-graduação em Agronomia (Produção Vegetal) - FCAV

Adaptação cultural e validação do JAMAR - Juvenile Arthritis Multidimensional Assessment Report para a artrite idiopática juvenil

Pós-graduação em Saúde Coletiva - FMB

Avaliação in vitro do tempo de fotopolimerização com led de alta potência de bráquetes ortodônticos e remoção de adesivo remanescente sob luz ultravioleta

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Imbibition damage in soybean seeds as affected by initial moisture content, cultivar and production location

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Preliminary core sets of measures for disease activity and damage assessment in juvenile systemic lupus erythematosus and juvenile dermatomyositis

Objective. To identify preliminary core sets of outcome variables for disease activity and damage assessment in juvenile systemic lupus erythematosus (JSLE) and juvenile dermatomyositis (JDM). Methods. Two questionnaire surveys were mailed to 267 physicians from 46 different countries asking each member to select and rank the response variables used when assessing clinical response in patients with JSLE or JDM. Next, 40 paediatric rheumatologists from 34 countries met and, using the nominal group technique, selected the domains to be included in the disease activity and damage core sets for JSLE and JDM. Results. A total of 41 response variables for JSLE and 37 response variables for JDM were selected and ranked through the questionnaire surveys. In the consensus conference, domains selected for both JSLE and JDM activity or damage core sets included the physician and parent/patient subjective assessments and a global score tool. Domains specific for JSLE activity were the immunological tests and the kidney function parameters. Concerning JDM, functional ability and muscle strength assessments were indicated for both activity and damage core sets, whereas serum muscle enzymes were included only in the activity core set. A specific paediatric domain called 'growth and development' was introduced in the disease damage core set for both diseases and the evaluation of health-related quality of life was advised in order to capture the influence of the disease on the patient lifestyle. Conclusions. We developed preliminary core sets of measures for disease activity and damage assessment in JSLE and JDM. The prospective validation of the core sets is in progress.

Damage detection in a benchmark structure using AR-ARX models and statistical pattern recognition

Structural health monitoring (SHM) is related to the ability of monitoring the state and deciding the level of damage or deterioration within aerospace, civil and mechanical systems. In this sense, this paper deals with the application of a two-step auto-regressive and auto-regressive with exogenous inputs (AR-ARX) model for linear prediction of damage diagnosis in structural systems. This damage detection algorithm is based on the. monitoring of residual error as damage-sensitive indexes, obtained through vibration response measurements. In complex structures there are. many positions under observation and a large amount of data to be handed, making difficult the visualization of the signals. This paper also investigates data compression by using principal component analysis. In order to establish a threshold value, a fuzzy c-means clustering is taken to quantify the damage-sensitive index in an unsupervised learning mode. Tests are made in a benchmark problem, as proposed by IASC-ASCE with different damage patterns. The diagnosis that was obtained showed high correlation with the actual integrity state of the structure. Copyright © 2007 by ABCM.