Conhecimento sobre hipertensão arterial e fatores associados à não adesão à farmacoterapia

OBJECTIVES: to identify the degree of knowledge of people with hypertension concerning the disease and to verify the factors associated with the non-adherence to anti-hypertensive drug therapy. METHOD: Cross sectional study, involving 422 people. Data collection took place at their homes, between December 2011 and March 2012, through interviews using the following instruments: Medication Adherence Questionnaire (MAQ-Q), Medication Regimen Complexity Index (MRCI) and a guide with questions related to sociodemographic profile, satisfaction with healthcare service and knowledge about the disease. RESULTS: 42.6% did not adhere to the drug therapy and 17.7% had poor knowledge about the disease. Factors associated with the non-adherence were: complex drug therapy, poor knowledge about the disease and dissatisfaction with the healthcare service. CONCLUSION: The findings reinforce that the complex drug therapy prescriptions, little knowledge about the disease and dissatisfaction with the healthcare service have influence on the process of non-adherence to anti-hypertensive drug therapy.OBJETIVOS: identificar el nivel de conocimiento de personas con hipertensión arterial acerca de la enfermedad y verificar los factores asociados a la no adhesión a la farmacoterapia antihipertensiva. MÉTODO: estudio transversal realizado en 422 individuos. Los datos fueron recolectados en los domicilios, entre diciembre de 2011 y marzo de 2012, por medio de entrevistas utilizando los instrumentos: Cuestionario de Adhesión a Medicamentos (CAM-Q), Índice de Complejidad de la Farmacoterapia y un guión con preguntas relativas al perfil sociodemográfico, satisfacción con el servicio de salud y conocimiento sobre la enfermedad. RESULTADOS: 42,6% no adherían a la farmacoterapia y 17,7% poseían conocimiento insatisfactorio sobre la enfermedad. Los factores asociados a la no adhesión fueron: farmacoterapia compleja, conocimiento insatisfactorio sobre la enfermedad e insatisfacción con el servicio de salud. CONCLUSIÓN: Los hallazgos refuerzan que prescripciones farmacológicas complejas, poco conocimiento sobre la enfermedad e insatisfacción con el servicio de salud influyen en el proceso de la no adhesión al tratamiento medicamentoso antihipertensivo.OBJETIVOS: identificar o nível de conhecimento de pessoas com hipertensão arterial acerca da doença e verificar os fatores associados à não adesão à farmacoterapia anti-hipertensiva. MÉTODO: estudo transversal, realizado com 422 indivíduos. Os dados foram coletados nos domicílios, entre dezembro de 2011 e março de 2012, por meio de entrevistas, utilizando os instrumentos: Questionário de Adesão a Medicamentos, Índice de Complexidade da Farmacoterapia e um roteiro com questões relativas ao perfil sociodemográfico, satisfação com o serviço de saúde e conhecimento sobre a doença. RESULTADOS: 42,6% não aderiram à farmacoterapia e 17,7% possuíam conhecimento insatisfatório sobre a doença. Os fatores associados à não adesão foram: farmacoterapia complexa, conhecimento insatisfatório sobre a doença e insatisfação com o serviço de saúde. CONCLUSÃO: os achados reforçam que prescrições farmacológicas complexas, pouco conhecimento sobre a doença e insatisfação com o serviço de saúde influenciam no processo de não adesão ao tratamento medicamentoso anti-hipertensivo

Autoimmune Disease Classification by Inverse Association with SNP Alleles

With multiple genome-wide association studies (GWAS) performed across autoimmune diseases, there is a great opportunity to study the homogeneity of genetic architectures across autoimmune disease. Previous approaches have been limited in the scope of their analysis and have failed to properly incorporate the direction of allele-specific disease associations for SNPs. In this work, we refine the notion of a genetic variation profile for a given disease to capture strength of association with multiple SNPs in an allele-specific fashion. We apply this method to compare genetic variation profiles of six autoimmune diseases: multiple sclerosis (MS), ankylosing spondylitis (AS), autoimmune thyroid disease (ATD), rheumatoid arthritis (RA), Crohn's disease (CD), and type 1 diabetes (T1D), as well as five non-autoimmune diseases. We quantify pair-wise relationships between these diseases and find two broad clusters of autoimmune disease where SNPs that make an individual susceptible to one class of autoimmune disease also protect from diseases in the other autoimmune class. We find that RA and AS form one such class, and MS and ATD another. We identify specific SNPs and genes with opposite risk profiles for these two classes. We furthermore explore individual SNPs that play an important role in defining similarities and differences between disease pairs. We present a novel, systematic, cross-platform approach to identify allele-specific relationships between disease pairs based on genetic variation as well as the individual SNPs which drive the relationships. While recognizing similarities between diseases might lead to identifying novel treatment options, detecting differences between diseases previously thought to be similar may point to key novel disease-specific genes and pathways

Quantitative image analysis for the characterization of microbial aggregates in biological wastewater treatment : a review

Quantitative image analysis techniques have gained an undeniable role in several fields of research during the last decade. In the field of biological wastewater treatment (WWT) processes, several computer applications have been developed for monitoring microbial entities, either as individual cells or in different types of aggregates. New descriptors have been defined that are more reliable, objective, and useful than the subjective and time-consuming parameters classically used to monitor biological WWT processes. Examples of this application include the objective prediction of filamentous bulking, known to be one of the most problematic phenomena occurring in activated sludge technology. It also demonstrated its usefulness in classifying protozoa and metazoa populations. In high-rate anaerobic processes, based on granular sludge, aggregation times and fragmentation phenomena could be detected during critical events, e.g., toxic and organic overloads. Currently, the major efforts and needs are in the development of quantitative image analysis techniques focusing on its application coupled with stained samples, either by classical or fluorescent-based techniques. The use of quantitative morphological parameters in process control and online applications is also being investigated. This work reviews the major advances of quantitative image analysis applied to biological WWT processes.The authors acknowledge the financial support to the project PTDC/EBB-EBI/103147/2008 and the grant SFRH/BPD/48962/2008 provided by Fundacao para a Ciencia e Tecnologia (Portugal)

Dynamical density functional theory for orientable colloids including inertia and hydrodynamic interactions

Over the last few decades, classical density-functional theory (DFT) and its dynamic extensions (DDFTs) have become powerful tools in the study of colloidal fluids. Recently, previous DDFTs for spherically-symmetric particles have been generalised to take into account both inertia and hydrodynamic interactions, two effects which strongly influence non-equilibrium properties. The present work further generalises this framework to systems of anisotropic particles. Starting from the Liouville equation and utilising Zwanzig's projection-operator techniques, we derive the kinetic equation for the Brownian particle distribution function, and by averaging over all but one particle, a DDFT equation is obtained. Whilst this equation has some similarities with DDFTs for spherically-symmetric colloids, it involves a translational-rotational coupling which affects the diffusivity of the (asymmetric) particles. We further show that, in the overdamped (high friction) limit, the DDFT is considerably simplified and is in agreement with a previous DDFT for colloids with arbitrary shape particles.Comment: dynamical density functional theory ; colloidal fluids ; arbitrary-shape particles ; orientable colloid