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El diagnóstico y tratamiento de las enfermedades autoinmunes sistémicas (EAS) constituye un reto. Aunque infrecuentes, afectan a cientos de miles de pacientes en España. El médico de familia (MF) se enfrenta a síntomas o signos inespecíficos que hacen sospechar EAS al inicio del proceso, y tiene que decidir a quiénes debería derivar. Para facilitar su reconocimiento y mejorar su derivación, expertos de la Sociedad Española de Medicina de Familia y Comunitaria y de la Sociedad Española de Reumatología seleccionaron 26 síntomas/signos-guía y alteraciones analíticas. Se escogieron parejas de MF y reumatólogo para elaborar algoritmos diagnósticos y de derivación. Posteriormente se revisaron y adaptaron al formato de aplicación para móviles (app) descargable. El resultado es el presente documento de derivación de EAS para MF en formato de papel y app. Contiene algoritmos de fácil manejo utilizando datos de la anamnesis, exploración física y pruebas analíticas accesibles en atención primaria para orientar el diagnóstico y facilitar la derivación a reumatología o a otras especialidades. Management of systemic autoimmune diseases is challenging for physicians in their clinical practice. Although not common, they affect thousands of patients in Spain. The family doctor faces patients with symptoms and non-specific cutaneous, mucous, joint, vascular signs or abnormal laboratory findings at the start of the disease process and has to determine when to refer patients to the specialist. To aid in disease detection and better referral, the Spanish Society of Rheumatology and the Spanish Society of Family Medicine has created a group of experts who selected 26 symptoms, key signs and abnormal laboratory findings which were organized by organ and apparatus. Family doctors and rheumatologists with an interest in autoimmune systemic diseases were selected and formed mixed groups of two that then elaborated algorithms for diagnostic guidelines and referral. The algorithms were then reviewed, homogenized and adapted to the algorithm format and application for cell phone (apps) download. The result is the current Referral document of systemic autoimmune diseases for the family doctor in paper format and app (download). It contains easy-to-use algorithms using data from anamnesis, physical examination and laboratory results usually available to primary care, that help diagnose and refer patients to rheumatology or other specialties if needed. [ABSTRACT FROM AUTHOR]

Objective: To identify factors present in recent onset arthritis that may help to predict rheumatoid arthritis (RA). and to describe a cohort of recent onset RA. Patients and method: A 5 year prospective cohort of patients with early oligo and polyarthritis ( < 1 year of evolution) from 34 rheumatology units, was studied. Sociodemographic. clinical features and RA risk factors were recorded. Rheumatoid factor (RF), anti-CCP determinations and radiographs of hands and feet were analyzed too. After three years, a diagnosis of certainty and the variables that determined the evolution to RA, were evaluated. Result.s: One hundred and seventy one patients were included; 161 (94.2%) [fulfilled RA diagnostic criteria: most of them ( 157: 97.5%) in the first visit. Factors associated with RA diagnosis were: positive RF, anti-CCP and DAS-28; 65% of the patients had radiological erosions in the first visit. Conclusions: Positive RF, anti-CCP and the disease activity are predictive factors of RA. Radiological damage exists very early in most of patients, that's why it is more important to treat the disease aggressively instead than achieving an RA diagnosis of certainty. [ABSTRACT FROM AUTHOR]