Usefulness of clinical findings, nerve conduction studies and ultrasonography to predict response to surgical release in idiopathic carpal tunnel syndrome.

[EN] OBJECTIVES: To assess the usefulness of clinical findings, nerve conduction studies and ultrasonography performed by a rheumatologist to predict success in patients with idiopathic carpal tunnel syndrome (CTS) undergoing median nerve release. METHODS: Ninety consecutive patients with CTS (112 wrists) completed a specific CTS questionnaire and underwent physical examination and nerve conduction studies. Ultrasound examination was performed by a rheumatologist who was blind to any patient's data. Outcome variables were improvement >25% in symptoms of the CTS questionnaire and patient's overall satisfaction (5-point Likert scale) at 3 months postoperatively. Success was defined as improvement in both outcome variables. Receiver operating characteristics (ROC) curves and logistic regression analyses were used to assess the best predictive combination of preoperative findings. RESULTS: Success was achieved in 63% of the operated wrists. Utility parameters and area under the ROC curve (AUC) for individual findings was poor, ranging from 0.481 of the nerve conduction study to 0.634 of the cross-sectional area at tunnel outlet. Logistic regression identified the preoperative US parameters as the best predictive variables for success after 3 months. The best predictive combination (AUC=0.708) included a negative Phalen maneuver, plus absence of thenar atrophy, plus less than moderately abnormalities on nerve conduction studies plus a large maximal cross-sectional area along the tunnel by ultrasonography. CONCLUSION: Although cross-sectional area of the median nerve was the only predictor of success after three months of surgical release, isolated preoperative findings are not reliable predictors of success in patients with idiopathic CTS. A combination of findings that include ultrasound improves prediction.

Los SIG aplicados a la organización de la información marina. Experiencias en el proyecto MEDINA (Marine Ecosystem Dynamics and Indicators for North Africa)

[ES] Los Sistemas de Información Geográfica (SIG) juegan un papel primordial en cualquier proyecto que use de algún modo datos georreferenciados. El proyecto FP7 MEDINA (Marine ecosystem dynamics and indicators for north Africa) no es una excepción, donde trabajamos con indicadores provenientes de diferentes países e instituciones. Una de las labores que se ha llevado a cabo es la armonización de dicha información y la puesta en común mediante las posibilidades que ofrecen los SIG y herramientas afines. Hablaremos de la capacidad de los SIG, especialmente en sus soluciones libres, para poder organizar, gestionar y analizar la información geográfica.