EXTRAE: EXTRaction of Associations between Diseases and Other Medical Concepts

El propósito de este proyecto es investigar en la mejora de las técnicas de extracción de Reglas de Asociación (RA) entre enfermedades, o entre enfermedades y otros conceptos médicos. Estas reglas permiten representar el conocimiento médico subyacente a un conjunto de Historias Clínica Electrónica (HCE). Concretamente nos planteamos explorar técnicas semisupervisadas que nos permitan alcanzar resultados equiparables a los de las técnicas supervisadas con una mínima supervisión. El proyecto se propone realizar avances significativos en la selección de reglas de asociación relevantes en el dominio de la salud, que pueden tener una alta aplicabilidad en la ayuda al diagnóstico y en la prevención de enfermedades.This project aims to improve the techniques for extracting Association Rules (AR) between diseases, or between diseases and other medical concepts. These rules allow the representation of medical knowledge underlying a set of Electronic Medical Records (EHR). Particularly, we plan to explore semi-supervised techniques that allow us to achieve similar results to those obtained using supervised techniques, but requiring minimal supervision. The project intends to make significant progress in the selection of relevant AR, which may be applied in the health domain for developing diagnostic help systems, or for disease prevention.Este trabajo ha sido parcialmente financiado por los proyectos EXTRAE (IMIENS 2017) y PROSA-MED (TIN2016-77820-C3-2-R)

Follow-up with Telemedicine in Early Discharge for COPD Exacerbations: Randomized Clinical Trial (TELEMEDCOPD-Trial)

The results reported by different studies on telemonitoring in patients with chronic obstructive pulmonary disease (COPD) have been contradictory, without showing clear benefits to date. The objective of this study was to ascertain whether an early discharge and home hospitalization telehealth program for patients with COPD exacerbation is as effective as and more efficient than a traditional early discharge and home hospitalization program. A prospective experimental non-inferiority study, randomized into two groups (telemedicine/control) was conducted. The telemedicine group underwent monitoring and was required to transmit data on vital constants and ECGs twice per day, with a subsequent telephone call and 2 home visits by healthcare staff (intermediate and at discharge). The control group received daily visits. The main variable was time until first exacerbation. The secondary variables were: number of exacerbations; use of healthcare resources; satisfaction; quality of life; anxiety-depression; and therapeutic adherence, measured at one and 6 months of hospital discharge. A total of 116 patients were randomized (58 to each group) without significant differences in baseline characteristics or time until first exacerbation, i.e. median 48 days (pp. 25-75:23-120) in the control group, and 47 days (pp. 25-75:19-102) in the intervention group; p = 0.52). A significant decrease in the number of visits was observed in the intervention versus the control group, 3.8 ± 1 vs 5.1 ± 2(p = 0.001), without significant differences in the number of exacerbations. In conclusion follow-up via a telemedicine program in early discharge after hospitalization is as effective as conventional home follow up, being the cost of either strategy not significantly different.This study was awarded a Health Research Fund (Fondo de Investigaciones Sanitarias/FIS) grant, dossier No. PI12/01161 of the Carlos III Institute of Health and the Ministry of Sciences, Innovation and Universities.S

Discovering HIV related information by means of association rules and machine learning

Acquired immunodeficiency syndrome (AIDS) is still one of the main health problems worldwide. It is therefore essential to keep making progress in improving the prognosis and quality of life of affected patients. One way to advance along this pathway is to uncover connections between other disorders associated with HIV/AIDS-so that they can be anticipated and possibly mitigated. We propose to achieve this by using Association Rules (ARs). They allow us to represent the dependencies between a number of diseases and other specific diseases. However, classical techniques systematically generate every AR meeting some minimal conditions on data frequency, hence generating a vast amount of uninteresting ARs, which need to be filtered out. The lack of manually annotated ARs has favored unsupervised filtering, even though they produce limited results. In this paper, we propose a semi-supervised system, able to identify relevant ARs among HIV-related diseases with a minimal amount of annotated training data. Our system has been able to extract a good number of relationships between HIV-related diseases that have been previously detected in the literature but are scattered and are often little known. Furthermore, a number of plausible new relationships have shown up which deserve further investigation by qualified medical experts

Effectiveness and cost-effectiveness of a multicomponent intervention to implement a clinical practice guideline for systemic lupus erythematosus: protocol for a cluster-randomized controlled trial

BACKGROUND: Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease with significant potential morbidity and mortality. Substantial gaps have been documented between the development and dissemination of clinical practice guidelines (CPG) and their implementation in practice. The aim of this study is to assess the effectiveness and cost-effectiveness of a multi-component knowledge transfer intervention to implement a CPG for the management of SLE (CPG-SLE). METHODS: The study is an open, multicentre, controlled trial with random allocation by clusters to intervention or control. Clusters are four public university hospitals of the Canary Islands Health Service where rheumatologists are invited to participate. Patients diagnosed with SLE at least one year prior to recruitment are selected. Rheumatologists in intervention group receive a short educational group programme to both update their knowledge about SLE management according to CPG-SLE recommendations and to acquire knowledge and training on use of the patient-centred approach, a decision support tool embedded in the electronic clinical record and a quarterly feedback report containing information on management of SLE patients. Primary endpoint is change in self-perceived disease activity. Secondary endpoints are adherence of professionals to CPG-SLE recommendations, health-related quality of life, patient perception of their participation in decision making, attitudes of professionals towards shared decision making, knowledge of professionals about SLE and use of healthcare resources. Calculated sample size is 412 patients. Data will be collected from questionnaires and clinical records. Length of follow-up will be 18 months. Multilevel mixed models with repeated time measurements will be used to analyze changes in outcomes over time. Cost-effectiveness, from both social and healthcare services perspectives, will be analyzed by measuring effectiveness in terms of quality-adjusted life years gained. Deterministic and probabilistic sensitivity analyses are planned. DISCUSSION: Impact of CPGs in clinical practice could be improved by applying proven value interventions to implement them. The results of this ongoing trial are expected to generate important scientifically valid and reproducible information not only on clinical effectiveness but also on cost-effectiveness of a multi-component intervention for implementation of a CPG based on communication technologies for chronic patients in the hospital setting. TRIAL REGISTRATION: ClinicalTrial.gov NCT03537638 . Registered on 25 May 2018.This study is funded by the Carlos III Health Institute, a Spanish public health research institute (Grant number: PI12/01348). This institution has no further role in the study design, collection, analysis and interpretation of data, drawing up of the manuscript or the decision to submit the paper for publication.S

Discovering HIV related information by means of association rules and machine learning

Acquired immunodeficiency syndrome (AIDS) is still one of the main health problems worldwide. It is therefore essential to keep making progress in improving the prognosis and quality of life of affected patients. One way to advance along this pathway is to uncover connections between other disorders associated with HIV/AIDS-so that they can be anticipated and possibly mitigated. We propose to achieve this by using Association Rules (ARs). They allow us to represent the dependencies between a number of diseases and other specific diseases. However, classical techniques systematically generate every AR meeting some minimal conditions on data frequency, hence generating a vast amount of uninteresting ARs, which need to be filtered out. The lack of manually annotated ARs has favored unsupervised filtering, even though they produce limited results. In this paper, we propose a semi-supervised system, able to identify relevant ARs among HIV-related diseases with a minimal amount of annotated training data. Our system has been able to extract a good number of relationships between HIV-related diseases that have been previously detected in the literature but are scattered and are often little known. Furthermore, a number of plausible new relationships have shown up which deserve further investigation by qualified medical experts

A randomized trial of planned cesarean or vaginal delivery for twin pregnancy

Background: Twin birth is associated with a higher risk of adverse perinatal outcomes than singleton birth. It is unclear whether planned cesarean section results in a lower risk of adverse outcomes than planned vaginal delivery in twin pregnancy.\ud \ud Methods: We randomly assigned women between 32 weeks 0 days and 38 weeks 6 days of gestation with twin pregnancy and with the first twin in the cephalic presentation to planned cesarean section or planned vaginal delivery with cesarean only if indicated. Elective delivery was planned between 37 weeks 5 days and 38 weeks 6 days of gestation. The primary outcome was a composite of fetal or neonatal death or serious neonatal morbidity, with the fetus or infant as the unit of analysis for the statistical comparison.\ud \ud Results: A total of 1398 women (2795 fetuses) were randomly assigned to planned cesarean delivery and 1406 women (2812 fetuses) to planned vaginal delivery. The rate of cesarean delivery was 90.7% in the planned-cesarean-delivery group and 43.8% in the planned-vaginal-delivery group. Women in the planned-cesarean-delivery group delivered earlier than did those in the planned-vaginal-delivery group (mean number of days from randomization to delivery, 12.4 vs. 13.3; P = 0.04). There was no significant difference in the composite primary outcome between the planned-cesarean-delivery group and the planned-vaginal-delivery group (2.2% and 1.9%, respectively; odds ratio with planned cesarean delivery, 1.16; 95% confidence interval, 0.77 to 1.74; P = 0.49).\ud \ud Conclusion: In twin pregnancy between 32 weeks 0 days and 38 weeks 6 days of gestation, with the first twin in the cephalic presentation, planned cesarean delivery did not significantly decrease or increase the risk of fetal or neonatal death or serious neonatal morbidity, as compared with planned vaginal delivery

Correction to: Comparative effectiveness and safety of non-vitamin K antagonists for atrial fibrillation in clinical practice: GLORIA-AF Registry

International audienceIn this article, the name of the GLORIA-AF investigator Anastasios Kollias was given incorrectly as Athanasios Kollias in the Acknowledgements. The original article has been corrected

Patterns of oral anticoagulant use and outcomes in Asian patients with atrial fibrillation: a post-hoc analysis from the GLORIA-AF Registry

Background: Previous studies suggested potential ethnic differences in the management and outcomes of atrial fibrillation (AF). We aim to analyse oral anticoagulant (OAC) prescription, discontinuation, and risk of adverse outcomes in Asian patients with AF, using data from a global prospective cohort study. Methods: From the GLORIA-AF Registry Phase II-III (November 2011-December 2014 for Phase II, and January 2014-December 2016 for Phase III), we analysed patients according to their self-reported ethnicity (Asian vs. non-Asian), as well as according to Asian subgroups (Chinese, Japanese, Korean and other Asian). Logistic regression was used to analyse OAC prescription, while the risk of OAC discontinuation and adverse outcomes were analysed through Cox-regression model. Our primary outcome was the composite of all-cause death and major adverse cardiovascular events (MACE). The original studies were registered with ClinicalTrials.gov, NCT01468701, NCT01671007, and NCT01937377. Findings: 34,421 patients were included (70.0 ± 10.5 years, 45.1% females, 6900 (20.0%) Asian: 3829 (55.5%) Chinese, 814 (11.8%) Japanese, 1964 (28.5%) Korean and 293 (4.2%) other Asian). Most of the Asian patients were recruited in Asia (n = 6701, 97.1%), while non-Asian patients were mainly recruited in Europe (n = 15,449, 56.1%) and North America (n = 8378, 30.4%). Compared to non-Asian individuals, prescription of OAC and non-vitamin K antagonist oral anticoagulant (NOAC) was lower in Asian patients (Odds Ratio [OR] and 95% Confidence Intervals (CI): 0.23 [0.22-0.25] and 0.66 [0.61-0.71], respectively), but higher in the Japanese subgroup. Asian ethnicity was also associated with higher risk of OAC discontinuation (Hazard Ratio [HR] and [95% CI]: 1.79 [1.67-1.92]), and lower risk of the primary composite outcome (HR [95% CI]: 0.86 [0.76-0.96]). Among the exploratory secondary outcomes, Asian ethnicity was associated with higher risks of thromboembolism and intracranial haemorrhage, and lower risk of major bleeding. Interpretation: Our results showed that Asian patients with AF showed suboptimal thromboembolic risk management and a specific risk profile of adverse outcomes; these differences may also reflect differences in country-specific factors. Ensuring integrated and appropriate treatment of these patients is crucial to improve their prognosis. Funding: The GLORIA-AF Registry was funded by Boehringer Ingelheim GmbH