Kernel-PCA data integration with enhanced interpretability

Background Nowadays, combining the different sources of information to improve the biological knowledge available is a challenge in bioinformatics. One of the most powerful methods for integrating heterogeneous data types are kernel-based methods. Kernel-based data integration approaches consist of two basic steps: firstly the right kernel is chosen for each data set; secondly the kernels from the different data sources are combined to give a complete representation of the available data for a given statistical task. Results We analyze the integration of data from several sources of information using kernel PCA, from the point of view of reducing dimensionality. Moreover, we improve the interpretability of kernel PCA by adding to the plot the representation of the input variables that belong to any dataset. In particular, for each input variable or linear combination of input variables, we can represent the direction of maximum growth locally, which allows us to identify those samples with higher/lower values of the variables analyzed. Conclusions The integration of different datasets and the simultaneous representation of samples and variables together give us a better understanding of biological knowledge.

Semantic data integration in a newspaper content management system

A newspaper content management system has to deal with a very heterogeneous information space as the experience in the Diari Segre newspaper has shown us. The greatest problem is to harmonise the different ways the involved users (journalist, archivists...) structure the newspaper information space, i.e. news, topics, headlines, etc. Our approach is based on ontology and differentiated universes of discourse (UoD). Users interact with the system and, from this interaction, integration rules are derived. These rules are based on Description Logic ontological relations for subsumption and equivalence. They relate the different UoD and produce a shared conceptualisation of the newspaper information domain.

Kernel-PCA data integration with enhanced interpretability

Background Nowadays, combining the different sources of information to improve the biological knowledge available is a challenge in bioinformatics. One of the most powerful methods for integrating heterogeneous data types are kernel-based methods. Kernel-based data integration approaches consist of two basic steps: firstly the right kernel is chosen for each data set; secondly the kernels from the different data sources are combined to give a complete representation of the available data for a given statistical task. Results We analyze the integration of data from several sources of information using kernel PCA, from the point of view of reducing dimensionality. Moreover, we improve the interpretability of kernel PCA by adding to the plot the representation of the input variables that belong to any dataset. In particular, for each input variable or linear combination of input variables, we can represent the direction of maximum growth locally, which allows us to identify those samples with higher/lower values of the variables analyzed. Conclusions The integration of different datasets and the simultaneous representation of samples and variables together give us a better understanding of biological knowledge.

Upper gastrointestinal bleeding in cirrhosis: clinical and endoscopic correlations

The clinical data of 180 episodes of upper gastrointestinal bleeding in 168 patients with cirrhosis of the liver are examined. The source of bleeding had been determined by early endoscopy in all cases. In men under the age of 50 years, and without symptoms of liver failure, bleeding was due to ruptured gastro-oesophageal varices in 84% of cases. Severe liver failure was associated with acute lesions of gastric mucosa in many cases. No presumptive diagnosis of the source of haemorrhage could be based on the examination of other clinical data (presence of ascites, mode of presentation and pattern of bleeding, history of ulcer disease, alcoholism, and previous medication.

Upper gastrointestinal bleeding in cirrhosis: clinical and endoscopic correlations

The clinical data of 180 episodes of upper gastrointestinal bleeding in 168 patients with cirrhosis of the liver are examined. The source of bleeding had been determined by early endoscopy in all cases. In men under the age of 50 years, and without symptoms of liver failure, bleeding was due to ruptured gastro-oesophageal varices in 84% of cases. Severe liver failure was associated with acute lesions of gastric mucosa in many cases. No presumptive diagnosis of the source of haemorrhage could be based on the examination of other clinical data (presence of ascites, mode of presentation and pattern of bleeding, history of ulcer disease, alcoholism, and previous medication.

The Case for Linking World Law Data

The present paper advocates for the creation of a federated, hybrid database in the cloud, integrating law data from all available public sources in one single open access system - adding, in the process, relevant meta-data to the indexed documents, including the identification of social and semantic entities and the relationships between them, using linked open data techniques and standards such as RDF. Examples of potential benefits and applications of this approach are also provided, including, among others, experiences from of our previous research, in which data integration, graph databases and social and semantic networks analysis were used to identify power relations, litigation dynamics and cross-references patterns both intra and inter-institutionally, covering most of the World international economic courts.

Classification models for neurocognitive impairment in HIV infection based on demographic and clinical variables

Objective: We used demographic and clinical data to design practical classification models for prediction of neurocognitive impairment (NCI) in people with HIV infection. Methods: The study population comprised 331 HIV-infected patients with available demographic, clinical, and neurocognitive data collected using a comprehensive battery of neuropsychological tests. Classification and regression trees (CART) were developed to btain detailed and reliable models to predict NCI. Following a practical clinical approach, NCI was considered the main variable for study outcomes, and analyses were performed separately in treatment-naïve and treatment-experienced patients. Results: The study sample comprised 52 treatment-naïve and 279 experienced patients. In the first group, the variables identified as better predictors of NCI were CD4 cell count and age (correct classification [CC]: 79.6%, 3 final nodes). In treatment-experienced patients, the variables most closely related to NCI were years of education, nadir CD4 cell count, central nervous system penetration-effectiveness score, age, employment status, and confounding comorbidities (CC: 82.1%, 7 final nodes). In patients with an undetectable viral load and no comorbidities, we obtained a fairly accurate model in which the main variables were nadir CD4 cell count, current CD4 cell count, time on current treatment, and past highest viral load (CC: 88%, 6 final nodes). Conclusion: Practical classification models to predict NCI in HIV infection can be obtained using demographic and clinical variables. An approach based on CART analyses may facilitate screening for HIV-associated neurocognitive disorders and complement clinical information about risk and protective factors for NCI in HIV-infected patients.

Enfermedad neumocócica invasiva en adultos: Cambios en la presentación clinica y evolución tras la introducción del la vacuna neumococica conjugada heptavalente en niños

La introducción de la vacuna neumocócica conjugada ha modificado los serotipos causantes de enfermedad neumocócica invasiva (ENI). El objetivo de este estudio fue analizar las diferencias en la presentación clínica entre la época pre y postvacunal. Realizamos un estudio observacional de todos los adultos hospitalizados con ENI, entre 1997 y 2001 (periodo prevacunal), y de 2006 a 2009 (periodo postvacunal). Comparamos la incidencia, la distribución de serotipos y la presentación clínica entre ambos periodos. Nuestros hallazgos sugieren que la aparición de nuevos serotipos puede asociarse con un aumento de la incidencia de ENI, especialmente en adultos jóvenes, y una mayor severidad en la presentación.

Anàlisis, disseny i implementació d'una aplicació de gestió d'històries mèdiques per un sistema multi centres mitjançant tecnologia J2EE, i tecnologia de xarxes de bases de dades

El treball final de carrera 'HISMED', es basa en l'anàlisi, disseny, investigació e implementació d'una aplicació dins l'àmbit assistencial sanitari amb la premissa de voler ser un sistema per oferir un servei sanitari de millor qualitat, i crear un entorn en el qual investigadors, laboratoris, metges i personal docent comparteixen dades amb una rellevància cabdal per les seves professions. Oferint-los una eina de consulta molt potent en quant a l'obtenció de dades clíniques, que els permet explotar la informació segons convingui el cas.

BIMS: Biomedical Information Management System

This final year project presents the design principles and prototype implementation of BIMS (Biomedical Information Management System), a flexible software system which provides an infrastructure to manage all information required by biomedical research projects.The BIMS project was initiated with the motivation to solve several limitations in medical data acquisition of some research projects, in which Universitat Pompeu Fabra takes part. These limitations,based on the lack of control mechanisms to constraint information submitted by clinicians, impact on the data quality, decreasing it.BIMS can easily be adapted to manage information of a wide variety of clinical studies, not being limited to a given clinical specialty. The software can manage both, textual information, like clinical data (measurements, demographics, diagnostics, etc ...), as well as several kinds of medical images (magnetic resonance imaging, computed tomography, etc ...). Moreover, BIMS provides a web - based graphical user interface and is designed to be deployed in a distributed andmultiuser environment. It is built on top of open source software products and frameworks.Specifically, BIMS has been used to represent all clinical data being currently used within the CardioLab platform (an ongoing project managed by Universitat Pompeu Fabra), demonstratingthat it is a solid software system, which could fulfill requirements of a real production environment.

Natalizumab versus Interferon B-1b to prevent CDMS in patients with CIS and poor prognostic factors: research protocol

About 85% of multiple sclerosis (MS) cases start as clinically isolated syndrome (CIS).When patients present with a CIS, clinicians face with many questions, most of themrelated with prognosis and treatment. Thereby, patients with CIS have been focus ofresearch. Several studies have demonstrated a relationship between positive IgM lipidspecific oligoclonal band pattern in CSF and higher lesion load on MRI brain scan, higher number of relapses and greater disability, even at the first stages of the disease. On the other hand, no studies have used this previous evidence to treat with more aggressive disease modifying therapy in initial stages of disease course to prevent the earlier axonal damage. The aim of this study is to assess the most effective approved treatment for MS and current therapy for CIS patients presenting high risk to develop CDMS and with biomarkers of poor prognosis. Among this group of patients any disease activity will eventually lead to disability. Therefore, the earlier the treatment is initiated, the more effective to prevent disability will be. It is considered that “time lost is brain lost” and since once damage is established, there is no therapy to be regained later on. In this phase III clinical trial, 172 patients will be randomized 1:1 to receive Interferon β-1b or natalizumab over 96 weeks. Time to develop clinical definitive multiple sclerosis (CDMS) will be included as primary endpoint. Other secondary endpoints will include clinical data, magnetic resonance imaging (MRI) measurements and quality of life tests

Natalizumab versus Interferon B-1b to prevent CDMS in patients with CIS and poor prognostic factors: research protocol

About 85% of multiple sclerosis (MS) cases start as clinically isolated syndrome (CIS).When patients present with a CIS, clinicians face with many questions, most of themrelated with prognosis and treatment. Thereby, patients with CIS have been focus ofresearch. Several studies have demonstrated a relationship between positive IgM lipidspecific oligoclonal band pattern in CSF and higher lesion load on MRI brain scan, higher number of relapses and greater disability, even at the first stages of the disease. On the other hand, no studies have used this previous evidence to treat with more aggressive disease modifying therapy in initial stages of disease course to prevent the earlier axonal damage. The aim of this study is to assess the most effective approved treatment for MS and current therapy for CIS patients presenting high risk to develop CDMS and with biomarkers of poor prognosis. Among this group of patients any disease activity will eventually lead to disability. Therefore, the earlier the treatment is initiated, the more effective to prevent disability will be. It is considered that “time lost is brain lost” and since once damage is established, there is no therapy to be regained later on. In this phase III clinical trial, 172 patients will be randomized 1:1 to receive Interferon β-1b or natalizumab over 96 weeks. Time to develop clinical definitive multiple sclerosis (CDMS) will be included as primary endpoint. Other secondary endpoints will include clinical data, magnetic resonance imaging (MRI) measurements and quality of life tests

Construcción y explotación de un almacén de datos para el análisis de información sobre el tránsito rodado de vehículos

El objetivo principal del TFC es la construcción y explotación de un almacén de datos. El proceso de trabajo se basa en la ejecución de un caso práctico, en el cual se presenta un escenario en el que se necesita desarrollar un almacén de datos para la Fundació d'Estudis per a la Conducció Responsable, la cual desea estudiar la evolución del número de desplazamientos en vehículo de motor en Cataluña así como analizar las posibles correlaciones entre medios de locomoción, perfiles de conductores y algunas variables de seguridad vial.

Economic evaluation of the levonorgestrel-releasing intrauterine system for the treatment of dysfunctional uterine bleeding in Spain

To compare the cost and effectiveness of the levonorgestrel-releasing intrauterine system (LNG-IUS) versus combined oral contraception (COC) and progestogens (PROG) in first-line treatment of dysfunctional uterine bleeding (DUB) in Spain. STUDY DESIGN: A cost-effectiveness and cost-utility analysis of LNG-IUS, COC and PROG was carried out using a Markov model based on clinical data from the literature and expert opinion. The population studied were women with a previous diagnosis of idiopathic heavy menstrual bleeding. The analysis was performed from the National Health System perspective, discounting both costs and future effects at 3%. In addition, a sensitivity analysis (univariate and probabilistic) was conducted. RESULTS: The results show that the greater efficacy of LNG-IUS translates into a gain of 1.92 and 3.89 symptom-free months (SFM) after six months of treatment versus COC and PROG, respectively (which represents an increase of 33% and 60% of symptom-free time). Regarding costs, LNG-IUS produces savings of 174.2-309.95 and 230.54-577.61 versus COC and PROG, respectively, after 6 months-5 years. Apart from cost savings and gains in SFM, quality-adjusted life months (QALM) are also favourable to LNG-IUS in all scenarios, with a range of gains between 1 and 2 QALM compared to COC and PROG. CONCLUSIONS: The results indicate that first-line use of the LNG-IUS is the dominant therapeutic option (less costly and more effective) in comparison with first-line use of COC or PROG for the treatment of DUB in Spain. LNG-IUS as first line is also the option that provides greatest health-related quality of life to patients.

Ischemic heart disease and primary care: identifying gender-related differences. An observational study

Background: Gender-related differences are seen in multiple aspects of both health and illness. Ischemic heart disease (IHD) is a pathology in which diagnostic, treatment and prognostic differences are seen between sexes, especially in the acute phase and in the hospital setting. The objective of the present study is to analyze whether there are differences between men and women when examining associated cardiovascular risk factors and secondary pharmacological prevention in the primary care setting. Methods: Retrospective descriptive observational study from January to December of 2006, including 1907 patients diagnosed with ischemic heart disease in the city of Lleida, Spain. The clinical data were obtained from computerized medical records and pharmaceutical records of medications dispensed in pharmacies with official prescriptions. Data was analyzed using bivariate descriptive statistical analysis as well as logistic regression. Results: There were no gender-related differences in screening percentages for arterial hypertension, diabetes, obesity, dyslipemia, and smoking. A greater percentage of women were hypertensive, obese and diabetic compared to men. However, men showed a tendency to achieve control targets more easily than women, with no statistically significant differences. In both sexes cardiovascular risk factors control was inadequate, between 10 and 50%. For secondary pharmaceutical prevention, the percentages of prescriptions were greater in men for anticoagulants, beta-blockers, lipid-lowering agents and angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers, with age group variations up to 10%. When adjusting by age and specific diagnoses, differences were maintained for anticoagulants and lipid-lowering agents. Conclusion: Screening of cardiovascular risk factors was similar in men and women with IHD. Although a greater percentage of women were hypertensive, diabetic or obese, their management of risk factors tended to be worse than men. Overall, a poor control of cardiovascular risk factors was noted. Taken as a whole, more men were prescribed secondary prevention drugs, with differences varying by age group and IHD diagnosis.