Clinical practice guidelines for the diagnosis and management of Charcot-Marie-Tooth disease.

Introduction: Charcot-Marie-Tooth disease (CMT) is classified according to neurophysiological and histological findings, the inheritance pattern, and the underlying genetic defect. The objective of these guidelines is to offer recommendations for the diagnosis, prognosis, follow-up, and treatment of this disease in Spain.

Material And Methods: These consensus guidelines were developed through collaboration by a multidisciplinary panel encompassing a broad group of experts on the subject, including neurologists, paediatric neurologists, geneticists, physiatrists, and orthopaedic surgeons.

Myasthenia gravis. Update on diagnosis and therapy.

Myasthenia gravis is an autoimmune disease caused by the presence of specific antibodies targeting different postsynaptic components of the neuromuscular junction, and is clinically characterized by the presence of fatigueable muscle weakness. In the etiopathogenesis plays a central role the thymus and the most frequently detected pathogenic autoantibodies are targeted to the acetylcholine receptor. The increase in the knowledge of the immunological components of the neuromuscular junction in the last two decades has been fundamental to identify new pathogenic antibodies, reduce the percentage of patients with seronegative myasthenia, and propose a classification of patients into subgroups with clinical-therapeutic interest.

[Epidemiology of myasthenia gravis in the Iberian Peninsula and Latin America].

Introduction: Although today we live in a globalised world, the ties established between the Iberian Peninsula and the countries of Latin America are particularly strong, with important migratory flows. This connection may condition the development of diseases that involve a genetic influence, which may in turn be modulated by various environmental factors. The aim of this review is to determine the descriptive epidemiology of myasthenia gravis in the Iberian Peninsula and in Latin America.

A test for comparing conditional ROC curves with multidimensional covariates.

The comparison of Receiver Operating Characteristic (ROC) curves is frequently used in the literature to compare the discriminatory capability of different classification procedures based on diagnostic variables. The performance of these variables can be sometimes influenced by the presence of other covariates, and thus they should be taken into account when making the comparison. A new non-parametric test is proposed here for testing the equality of two or more dependent ROC curves conditioned to the value of a multidimensional covariate.