Modelo Point-of-Care Ultrasound en Atención Primaria: ¿herramienta de alta resolución?

Point-of-Care Ultrasound is a method of performing a rapid clinical ultrasound, with the aim of responding to a clinical question immediately. This is not an ultrasound performed systematically as the radiologists do, nor does it pretend to replace it. It is useful in some kind of screening (abdominal aortic aneurysm) and is of special interest in ultrasound-guided procedures (joint infiltration by injection).It allows to adapt the derivations, minimising the uncertainty, ruling out certain pathologies due to its high diagnostic precision. It can also lead to overdiagnosis, if the examinations carried out are not limited to the organs on which our clinical suspicion is based.Ultrasound is one tool more in the diagnostic process, but its use must be limited to certain clinical situations. Its use in early detection of prevalent diseases in Primary Care should be properly evaluated. On the other hand with more evidence of a high diagnostic accuracy in a large list of pathological conditions.     

¿Quién decide qué datos deben constar en la historia clínica en relación con el origen biológico?

There is an increasing request by patients or their representatives not to have some data registered in their clinical history or if such data exists to be deleted. Without doubt, this is so because such clinical data is accessed by various professionals who in most cases are not directly involved in caring for such patients. On the other hand, such data is copied and iteratively and unnecessary reproduced in various discharge reports and others forms. The problem arises when such controversial data refer to particularly sensitive clinical aspects such as assisted reproduction techniques, which invades personal and family privacy. Therefore, the question is who determines what data should be recorded in the medical records and according to what criteria should be taken that decision?     

Evaluating Twitter as a complementary data source for pharmacovigilance

Background: Social media are currently considered as a potential complementary source of knowledge for drug safety surveillance. Our primary objective was to estimate the frequency of adverse drug reactions (ADRs) experienced by Twitter users. Our secondary objective was to determine whether tweets constitute a valuable and informative source of data for pharmacovigilance purposes, despite limitations on character number per tweet.

Research design and methods: We selected a list of 33 drugs subject to careful monitoring due to safety concern in France and Europe, and extracted tweets using the streaming API from 30 September 2014 to 5 April 2015. Two pharmacovigilance centers classified these tweets manually as potential ADR case reports.

Results: Among 10,534 tweets, 848 (8.05%) implied or mentioned an ADR without meeting the four FDA criteria required for reporting an ADR, and 289 (2.74%) tweets were classified as ‘case reports.’ Among them 20 (7.27%) tweets mentioned an unexpected ADR and 33 (11.42%) tweets mentioned a serious ADR.

Conclusions: With the use of dedicated tools, Twitter could become a complementary source of information for pharmacovigilance, despite a major limitation regarding causality assessment of ADRs in individual tweets, which may improve with the new limitation to 280 characters per tweet.     

Switching cell penetrating and CXCR4-binding activities of nanoscale-organized arginine-rich peptides

Arginine-rich protein motifs have been described as potent cell-penetrating peptides (CPPs) but also as rather specific ligands of the cell surface chemokine receptor CXCR4, involved in the infection by the human immunodeficiency virus (HIV). Polyarginines are commonly used to functionalize nanoscale vehicles for gene therapy and drug delivery, aimed to enhance cell penetrability of the therapeutic cargo. However, under which conditions these peptides do act as either unspecific or specific ligands is unknown. We have here explored the cell penetrability of differently charged polyarginines in two alternative presentations, namely as unassembled fusion proteins or assembled in multimeric protein nanoparticles. By this, we have observed that arginine-rich peptides switch between receptor-mediated and receptor-independent mechanisms of cell penetration. The relative weight of these activities is determined by the electrostatic charge of the construct and the oligomerization status of the nanoscale material, both regulatable by conventional protein engineering approaches.     

Co-occurring addictive behaviors: an analysis of risk profiles among university students

Objectives: The first goal of this study was to empirically identify, among university students, groups with varying levels of risk based on indicators of gambling and substance use. The second goal was to compare the identified groups on various demographic characteristics.

Methods: The study comprised of 2139 full-time undergraduate students, representative of university students in Montreal, Canada. A 3-step latent class logistic regression analysis was performed to identify groups and compare them on demographic characteristics.

Results: The statistical fit indices of the latent class analysis revealed a four-class solution. Class 1 (30.1% of the sample) included non-gamblers with low probabilities of substance use. Class 2 (11.2% of the sample) grouped non-gamblers with high-risk patterns of consumption. Class 3 (36.42% of the sample) included gamblers who are low-risk substance users, and individuals in Class 4 (22.25% of the sample) reported risky patterns of gambling and substance-using behaviors. Results of the logistic regression suggested that gender, being born in Canada, and working full- or part-time are significant predictors of class membership. Participants in both groups labeled at-risk (with and without gambling) were also more likely to report psychological distress and to live outside the family environment.

Conclusions: This study raises important questions regarding the choice of preventive models and feeds into the long-standing debate around universal versus high-risk approaches.