Trastornos de la conducta alimentaria. Legado de género y estilo de funcionamiento familiar en el tratamiento del desorden alimentario.

El presente proyecto se propone estudiar posibles pautas intergeneracionales que predisponen a la aparición de los TCA y el estilo de funcionamiento familiar en el origen y mantenimiento de la patología.

Demographic, clinical and antibody characteristics of patients with digital ulcers in systemic sclerosis: data from the DUO Registry

OBJECTIVES: The Digital Ulcers Outcome (DUO) Registry was designed to describe the clinical and antibody characteristics, disease course and outcomes of patients with digital ulcers associated with systemic sclerosis (SSc). METHODS: The DUO Registry is a European, prospective, multicentre, observational, registry of SSc patients with ongoing digital ulcer disease, irrespective of treatment regimen. Data collected included demographics, SSc duration, SSc subset, internal organ manifestations, autoantibodies, previous and ongoing interventions and complications related to digital ulcers. RESULTS: Up to 19 November 2010 a total of 2439 patients had enrolled into the registry. Most were classified as either limited cutaneous SSc (lcSSc; 52.2%) or diffuse cutaneous SSc (dcSSc; 36.9%). Digital ulcers developed earlier in patients with dcSSc compared with lcSSc. Almost all patients (95.7%) tested positive for antinuclear antibodies, 45.2% for anti-scleroderma-70 and 43.6% for anticentromere antibodies (ACA). The first digital ulcer in the anti-scleroderma-70-positive patient cohort occurred approximately 5 years earlier than the ACA-positive patient group. CONCLUSIONS: This study provides data from a large cohort of SSc patients with a history of digital ulcers. The early occurrence and high frequency of digital ulcer complications are especially seen in patients with dcSSc and/or anti-scleroderma-70 antibodies

CPTEC GCM and Eta Model verifications against Rondonia Reference site in Brazil

Numerical models are often used to study climate conditions and atmospheric phenomena. To make use of model outputs it is necessary to identify the modeldeficiencies and errors, which can lead to numericalimprovements and more accurate simulations. Astraightforward identification of the errors is thecomparison of forecasts against surface observations. The objective of this work is to evaluate the 24-h and 48-h forecasts from CPTEC GCM and Eta Modelagainst surface observations collected at the ForestSite of Rondonia, located at about 10\ub0S, 62\ub0W, for the period between 1 July and 1 September 2001. Themodels are used operationally at CPTEC. This work is part of objectives of the CEOP project