With the emergence of electronic health records, the reuse of clinical data offers new perspectives for the diagnosis and management of patients with rare diseases. However, there are many obstacles to the repurposing of clinical data. The development of decision support systems depends on the ability to recruit patients, extract and integrate the patients' data, mine and stratify these data, and integrate the decision support algorithm into patient care. This last step requires an adaptability of the electronic health records to integrate learning health system tools. In this literature review, we examine the research that provides solutions to unlock these barriers and accelerate translational research structured electronic health records and free-text search engines to find patients, data warehouses and natural language processing to extract phenotypes, machine learning algorithms to classify patients, and similarity metrics to diagnose patients. Medical informatics is experiencing an impellent request to develop decision support systems, and this requires ethical considerations for clinicians and patients to ensure appropriate use of health data. Ischaemic heart disease and stroke are the leading causes of death worldwide at 119 per 100,000 and 85 per 100,000 population. For the USA, heart disease is leading cause of death at 165 per 100,000 population. In developed countries, strokes and acute myocardial infarction in the general population have fallen from smoking reduction, lifestyle modifications and therapeutic interventions including statins. In a population-based stroke study in the UK involving primary care practices, of in-hospital strokes 90% were ischaemic, and 37% occurred within 1 week of an operation. Approximately 50% of the patients were not on a statin. In the UK, there is a national screening initiative for the prevention of atherosclerotic cardiovascular disease (ASCVD) offered to people aged 40-74 yr old. selleck The QRISK3 tool calculates the risk of developing heart disease or stroke over 10 yr, from which recommendations are made on interventions for the prevention of ASCVD up to age 84 yr, with similar screening and assessment tools in Europe and the US. If the QRISK3 score tool for calculating cardiovascular risk is considered sufficiently robust for population screening in primary care, should anaesthetists not use the same screening for secondary care? We present a case for statin use over the perioperative period, to reduce early vascular adverse events based on statins' early pleiotropic actions, using the primary care QRISK tool for screening of ASCVD risk. Crown All rights reserved.Syphilis is a sexually transmitted infection caused by Treponema pallidum subsp. pallidum with an increasing incidence in Spain and in the rest of the world. Diagnosis is based mainly on serology, since direct diagnosis by dark field microscopy presents difficulties that limit its widespread use. Molecular biology techniques can be a useful tool for diagnosis in primary and secondary syphilis, although not all types of samples show the same behaviour. These techniques are also useful for the diagnosis of congenital syphilis. They are not recommended, however, for neurosyphilis, due to the low sensitivity of polymerase chain reaction in cerebrospinal fluid. These techniques have been used to study the controversial origin of syphilis, and, through the enhanced Centers for Disease Control method, to perform typing, which helps to elucidate the epidemiology of this infection. Finally, molecular techniques can detect mutations related to macrolide resistance, which are present in a very high percentage of infections. L.U.BACKGROUND Human immunodeficiency virus type 1 (HIV-1) and hepatitis B (HBV) and C virus (HCV) viral load determinations are among the most relevant markers for the follow-up of patients infected with these viruses. External quality control tools are crucial to ensure the accuracy of the results obtained by microbiology laboratories. This article summarised the results obtained from the 2018 SEIMC External Quality Control Programme for HIV-1, HCV, and HBV viral loads and HCV genotyping. METHODS AND RESULTS In the HIV-1 program, a total of five standards were sent. One standard consisted of seronegative human plasma, while the remaining four contained plasma from three different viremic patients, in the range of 2-5 log10 copies/mL; two of these standards were identical, with the aim of determining repeatability. A significant proportion of the laboratories (28% on average) obtained values outside the accepted range (mean±0.25 log10 copies/mL), depending on the standard and on the method used for quantification. Repeatability was good, with most laboratories reporting results within the limits (D less then 0.5 log10 copies/mL). The HBV and HCV programme consisted of two standards with different viral load contents. Most of the participants, 87% in the case of HCV and 88% in the HBV, obtained all the results within the accepted range (mean±1.96 SD log10 UI/mL). CONCLUSIONS Data from this analysis reinforce the utility of proficiency programmes to ensure the quality of the results obtained by a particular laboratory. Due to the marked interlaboratory variability, it is advisable to use the same method and the same laboratory for patient follow-up. L.U.BACKGROUND Human immunodeficiency virus type 1 (HIV-1) and hepatitis B (HBV) and C virus (HCV) viral load determinations are among the most relevant markers for the follow-up of patients infected with these viruses. External quality control tools are crucial to ensure the accuracy of the results obtained by microbiology laboratories. This article summarised the results obtained from the 2017 SEIMC External Quality Control Programme for HIV-1, HCV, and HBV viral loads and HCV genotyping. METHODS AND RESULTS In the HIV-1 programme, a total of five standards were sent. One standard consisted of seronegative human plasma, while the remaining four contained plasma from three different viremic patients, in the range of 2-5 log10 copies/mL; two of these standards were identical, with the aim of determining repeatability. A significant proportion of the laboratories (35% on average) obtained values outside the accepted range (mean±0.25 log10 copies/mL), depending on the standard and on the method used for quantification.