Validation of the French version of the Childhood Health Assessment Questionnaire (CHAQ) in juvenile idiopathic arthritis.
ABSTRACT To translate, cross-culturally adapt, and validate the functional disability tool Childhood Health Assessment Questionnaire (CHAQ), a variant of the Health Assessment Questionnaire (HAQ), in children with juvenile idiopathic arthritis (JIA).
The disability index is the mean of the scores on the eight domains of the CHAQ and can range from 0 (no disability) to 3 (maximum disability). The CHAQ was first translated into French and adapted, then validated in a multicenter cross-sectional study in 306 children with JIA (systemic onset, 23%; polyarticular onset, 22%; extended oligoarticular subtype, 25%; and persistent oligoarticular subtype, 30%).
Overall CHAQ scores discriminated between the four JIA subtypes (systemic: 1.1 +/- 0.9; polyarticular: 0.8 +/- 0.7, extended oligoarticular 0.8 +/- 0.7, and persistent oligoarticular: 0.4 +/- 0.5 [P < 0.0001]). Reproducibility evaluated by test-retest at a 7-day interval was excellent (intraclass coefficient, 0.91), as was agreement between the Parent's and Children's versions of the questionnaire (intraclass coefficient, 0.89). Significant correlations were found between the overall CHAO score and variables reflecting disease severity (joint counts, physician's and parent's global assessments, and erythrocyte sedimentation rate), indicating excellent convergent validity of the tool.
The French version of the CHAQ displays good psychometric characteristics, although its sensitivity to change remains to be established. The French version of the CHAO should prove useful in international studies and can be expected to be helpful for monitoring individual patients with JIA.
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ABSTRACT: Juvenile idiopathic arthritis (JIA) is a heterogeneous group of diseases, most of which differ from the main adult-onset inflammatory joint diseases. Nonsystemic forms of JIA (oligoarthritis, polyarthritis with or without rheumatoid factors, and spondyloarthropathies) are managed similarly to adult-onset rheumatoid arthritis or spondylarthritis, with a few differences. More specifically, JIA-associated chronic uveitis may require the use of biotherapies that remain experimental in JIA, such as monoclonal antibodies to TNFα or abatacept. International networks have enabled therapeutic trials of medications targeting TNFα alpha, interleukin (IL)-1, IL-6, or T-cell co-stimulation (abatacept). Systemic-onset JIA (also called childhood-onset Still's disease) raises specific treatment challenges and may require treatment with IL-1 antagonists, tocilizumab, or even thalidomide; as a very last resort, intensive immunosuppressant therapy with autologous hematopoietic stem-cell transplantation may be considered. Close monitoring of growth velocity and bone mass accrual is in order, and some patients require additional medications such as growth hormone. Patients with JIA should be managed in specialized centers that have coordinated chains of care for the entire pediatric period and into adulthood. In addition, the use in pediatric patients of recently introduced treatments requires close monitoring for long-term side effects.Joint, bone, spine: revue du rhumatisme 10/2010; 77(6):511-6. DOI:10.1016/j.jbspin.2010.09.002 · 3.22 Impact Factor
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ABSTRACT: The possibility of predicting mineral concentrations in the flotation froth by the use of realtime acquired image data and the partial least squares (PLS) regression method is investigated. This is a straightforward application of utilising image analysis in the control and monitoring of the mineral flotation process. For several reasons this approach should also have potential as an industrial application: the price of the measurement unit is relatively inexpensive, and it will quickly supply grade estimates and also important image parameters such as speed, stability, and size of the froth bubbles. However, it will probably not have the long time accuracy of the conventional on-stream analysers. To test the methodology in practise, a reasonable amount of image data was collected together with froth samples from one of the flotation cells at the Pyhasalmi mine zinc circuit in Finland. The collected images were processed off-line to extract selected features from the images, and then the PLS method was used to construct a model to predict the zinc concentration in the froth as a function of the extracted image featuresIntelligent Processing and Manufacturing of Materials, 1999. IPMM '99. Proceedings of the Second International Conference on; 08/1999
Conference Paper: Hybrid learning algorithm for fuzzy neuro systems[Show abstract] [Hide abstract]
ABSTRACT: We propose a hybrid learning algorithm for fuzzy neural network (FNN) systems, which combining the back-propagation and the genetic algorithms. Without any pre-training, the algorithm achieves high accuracy performance. Here, we make a breakthrough of the restriction of membership function to be some specific shape (e.g., triangular form, trapezoid form and shape of bell). The membership functions of the FNN are constructed by a group of line segment and then are fine tuned by genetic algorithm (GA) for achieving the mapping accuracy. The proposed training algorithm can be described as: (a) Firstly, we construct and train the FNN using the back-propagation algorithm to obtain membership functions and consequent weight vector. (b) Membership functions with a group of line segment by partitioning and sampling themselves are constructed. Thus we can represent membership functions in a string form-chromosome for genetic algorithm (GA). (c) Finally, for every partition point, we use the GA to search the optimal value and obtain the optimal membership functions. Simulation results show that the mapping capability of the FNN trained by the proposed method is much better. In addition, the application on the fuzzy rules reduction is presented to show the effectiveness of the approach.Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on; 08/2004