The process of diagnosis and linkage to care in cases of hepatitis C virus (HCV) infection remains an obstacle to disease control. The aims of this study were to evaluate predictive factors for not undergoing RNA testing among patients with positive HCV serology and impact of incorporating an automated electronic alert with recommendations in clinical practice. We collected HCV antibody tests requested from October 2011 to September 2014 to evaluate the rate of RNA testing and predictive factors for not undergoing RNA testing. Since October 2014, an automated alert notification has been implemented to remind physicians for testing RNA after a positive HCV test and referral to specialist care. 41 403 HCV antibody tests were requested from 34 073 patients. 870 (2.55%) patients tested positive. After a median of follow‐up of 57.0 months (range 45.6‐82.1), 37.6% did not have RNA testing. The independent predictors for not undergoing RNA testing were primary care serology requests (P < 0.001), no history of drug use (P = 0.005) and a lack of social support (P = 0.015). The intervention impact was evaluated in a pre‐alert cohort (October 2011‐September 2014) and a post‐alert cohort (October 2014‐September 2015). After the incorporation of the alert, the rate of RNA testing increased from 62.4% to 77.7% (P < 0.001). Incomplete assessment of HCV infection is a challenge in primary care. The implementation of an automated alert for recommending RNA testing after a positive HCV antibody test is feasible in clinical practice and increases the rate of patients with RNA testing.

No abstract

No abstract

The term undifferentiated connective tissue disease (UCTD) is used to describe undiagnosed patients that do not fulfill classification criteria for definite connective tissue disease (Systemic Lupus, Systemic Sclerosis, Sjögren Syndrome, and Dermatomyositis/Polymyositis). It is important to find serological markers as predictors of the evolution or severity of these diseases. The objective of this retrospective study was to investigate if there was a milder subgroup of UCTD with a special clinical profile consisting only in the presence of anti-Ro52 autoantibodies. Immunological and clinical records of 62 patients attending the hospital during 30 months were studied. Results showed a target population formed by mostly women, aged between 40 and 80 years at the moment of the study, with a registered age of onset between 40 and 60 years. Speckled pattern was the most frequent pattern found by indirect immunofluorescence. Given the obtained results and keeping in mind possible limitations because of sample size, isolated positive anti-Ro52 autoantibodies seem to lead to a benign effect in terms of evolution of the disease. As a future objective, the follow-up of these patients should be necessary to investigate new clinical symptoms, serological markers, or development of a definite connective tissue disease over time.

Predominantly antibody deficiencies are the most frequent type of primary immunodeficiency (PID). Diagnosis requires evaluation of the immune function by distinguishing the presence or absence of a response against polysaccharide antigens. Salmonella enterica serovar Typhi-based vaccines have proved to be a suitable tool. We studied a group of patients with suspicion of primary immunodeficiency and classified them by final diagnosis. We analyzed the vaccination response to S. Typhi and other immune biomarkers and clinical data. The aim of this study was to classify patients regarding the intensity of their immune response measured as the difference between specific immunoglobulin G levels before and after vaccination and antibody levels in the post-vaccination sample in order to improve clinical decisions regarding follow up and treatment of immunodeficiency patients. We established four groups of response: Non responders (NR), Low responders (LR), Intermediate responders (IR), and High responders (HR), where we found differences in IgG, IgG1, IgG2, IgG4, IgA, IgA1, IgA2, and IgM, and where the finally achieved diagnosis was also different and corresponding to the level of vaccination response.