A soft computing approach to kidney diseases evaluation

Kidney renal failure means that one’s kidney have unexpectedly stopped functioning, i.e., once chronic disease is exposed, the presence or degree of kidney dysfunction and its progression must be assessed, and the underlying syndrome has to be diagnosed. Although the patient’s history and physical examination may denote good practice, some key information has to be obtained from valuation of the glomerular filtration rate, and the analysis of serum biomarkers. Indeed, chronic kidney sickness depicts anomalous kidney function and/or its makeup, i.e., there is evidence that treatment may avoid or delay its progression, either by reducing and prevent the development of some associated complications, namely hypertension, obesity, diabetes mellitus, and cardiovascular complications. Acute kidney injury appears abruptly, with a rapid deterioration of the renal function, but is often reversible if it is recognized early and treated promptly. In both situations, i.e., acute kidney injury and chronic kidney disease, an early intervention can significantly improve the prognosis.The assessment of these pathologies is therefore mandatory, although it is hard to do it with traditional methodologies and existing tools for problem solving. Hence, in this work, we will focus on the development of a hybrid decision support system, in terms of its knowledge representation and reasoning procedures based on Logic Programming, that will allow one to consider incomplete, unknown, and even contradictory information, complemented with an approach to computing centered on Artificial Neural Networks, in order to weigh the Degree-of-Confidence that one has on such a happening. The present study involved 558 patients with an age average of 51.7 years and the chronic kidney disease was observed in 175 cases. The dataset comprise twenty four variables, grouped into five main categories. The proposed model showed a good performance in the diagnosis of chronic kidney disease, since the sensitivity and the specificity exhibited values range between 93.1 and 94.9 and 91.9–94.2 %, respectively.

An assessment of chronic kidney diseases

Kidney renal failure means that one’s kidney have unexpectedlystoppedfunctioning,i.e.,oncechronicdiseaseis exposed, the presence or degree of kidney dysfunction and its progression must be assessed, and the underlying syndrome has to be diagnosed. Although the patient’s history and physical examination may denote good practice, some key information has to be obtained from valuation of the glomerular filtration rate, and the analysis of serum biomarkers. Indeed, chronic kidney sickness depicts anomalous kidney function and/or its makeup, i.e., there is evidence that treatment may avoid or delay its progression, either by reducing and prevent the development of some associated complications, namely hypertension, obesity, diabetes mellitus, and cardiovascular complications. Acute kidney injury appears abruptly, with a rapiddeteriorationoftherenalfunction,butisoftenreversible if it is recognized early and treated promptly. In both situations, i.e., acute kidney injury and chronic kidney disease, an early intervention can significantly improve the prognosis. The assessment of these pathologies is therefore mandatory, although it is hard to do it with traditional methodologies and existing tools for problem solving. Hence, in this work, we will focus on the development of a hybrid decision support system, in terms of its knowledge representation and reasoning procedures based on Logic Programming, that will allow onetoconsiderincomplete,unknown,and evencontradictory information, complemented with an approach to computing centered on Artificial Neural Networks, in order to weigh the Degree-of-Confidence that one has on such a happening. The present study involved 558 patients with an age average of 51.7 years and the chronic kidney disease was observed in 175 cases. The dataset comprise twenty four variables, grouped into five main categories. The proposed model showed a good performance in the diagnosis of chronic kidney disease, since the sensitivity and the specificity exhibited values range between 93.1 and 94.9 and 91.9–94.2 %, respectively.

Artificial neural networks in diagnosis of liver diseases

Liver diseases have severe patients’ consequences, being one of the main causes of premature death. These facts reveal the centrality of one`s daily habits, and how important it is the early diagnosis of these kind of illnesses, not only to the patients themselves, but also to the society in general. Therefore, this work will focus on the development of a diagnosis support system to these kind of maladies, built under a formal framework based on Logic Programming, in terms of its knowledge representation and reasoning procedures, complemented with an approach to computing grounded on Artificial Neural Networks.

Autoimmune diseases and pregnancy: analysis of a series of cases

BACKGROUND: An autoimmune disease is characterized by tissue damage, caused by self-reactivity of different effector mechanisms of the immune system, namely antibodies and T cells. All autoimmune diseases, to some extent, have implications for fertility and obstetrics. Currently, due to available treatments and specialised care for pregnant women with autoimmune disease, the prognosis for both mother and child has improved significantly. However these pregnancies are always high risk. The purpose of this study is to analyse the fertility/pregnancy process of women with systemic and organ-specific autoimmune diseases and assess pathological and treatment implications. METHODS: The authors performed an analysis of the clinical records and relevant obstetric history of five patients representing five distinct autoimmune pathological scenarios, selected from Autoimmune Disease Consultation at the Hospital of Braga, and reviewed the literature. RESULTS: The five clinical cases are the following: Case 1-28 years old with systemic lupus erythematosus, and clinical remission of the disease, under medication with hydroxychloroquine, prednisolone and acetylsalicylic acid, with incomplete miscarriage at 7 weeks of gestation without signs of thrombosis. Case 2-44 years old with history of two late miscarriages, a single preterm delivery (33 weeks) and multiple thrombotic events over the years, was diagnosed with antiphospholipid syndrome after acute myocardial infarction. Case 3-31 years old with polymyositis, treated with azathioprine for 3 years with complete remission of the disease, took the informed decision to get pregnant after medical consultation and full weaning from azathioprine, and gave birth to a healthy term new-born. Case 4-38 years old pregnant woman developed Behcet's syndrome during the final 15 weeks of gestation and with disease exacerbation after delivery. Case 5-36 years old with autoimmune thyroiditis diagnosed during her first pregnancy, with difficult control over the thyroid function over the years and first trimester miscarriage, suffered a second miscarriage despite clinical stability and antibody regression. CONCLUSIONS: As described in literature, the authors found a strong association between autoimmune disease and obstetric complications, especially with systemic lupus erythematosus, antiphospholipid syndrome and autoimmune thyroiditis.

Sistema de apoio à decisão clínica: quality of life system

Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de Informação

Trends in death from circulatory diseases in Brazil between 1979 and 1996

OBJECTIVE: To analyze the trends in mortality due to circulatory diseases in men and women aged > or = 30 years in Brazil from 1979 to 1996. METHODS: We analyzed population count data obtained from the IBGE Foundation and mortality data obtained from the System of Information on Mortality of the DATASUS of the Ministry of Health. RESULTS: Circulatory diseases, ischemic heart disease, and cerebrovascular disease were the major causes of death in men and women in Brazil. The standardized age coefficient for circulatory disease in men aged > or = 30 years ranged from 620 to 506 deaths/100,000 inhabitants and in women from 483 to 383 deaths/100,000 inhabitants for the years 1979 and 1996, respectively. In men, the mean coefficient for the period was 586.25 deaths with a significant trend towards a decrease (P<0.001) and a decline of 8.25 deaths/year. In women, the mean coefficient for the period was 439.58 deaths, a significant trend towards a decrease (P<0.001) and a rate of decline of 7.53 deaths/year. The same significant trend towards a decrease in death (P<0.001) was observed for ischemic heart disease and cerebrovascular disease. Risk of death from these causes was always higher for men of any age group (P<0.001). Cerebrovascular disease was the primary cause of death in women. CONCLUSION: Although circulatory diseases have been the major cause of mortality in men and women in the Brazilian population, with a greater participation by cerebrovascular diseases, a trend towards a decrease in the risk of death from these causes is being observed.

Investigación de defectos genéticos en el sistema de la fosforilasa hepática en pacientes argentinos. Definición nosológica mediante una estrategia de análisis molecular. Investigation of genetic defects in the hepatic phosphorylase system in Argentinean patients. Nosological definition by molecular analysis strategy.

Las Enfermedades de Atesoramiento de Glucógeno (EAGs) también llamadas Glucogenosis comprenden un grupo de entidades causadas por una deficiencia enzimática específica relacionada con la vía de síntesis o degradación de esta macromolécula. La heterogeneidad fenotípica de los pacientes afectados dificulta la identificación de las diferentes variantes de EAG y por ende la correcta definición nosológica. En el Centro de Estudio de las Metabolopatías Congénitas, CEMECO, se fueron definiendo los diferentes tipos de Glucogenosis a través de una estrategia multidisciplinaria que integra distintos niveles de investigación clínica y complementaria, laboratorio metabólico especializado, enzimático, histomorfológico y de análisis molecular. Sin embargo, en algunos enfermos, entre los que se encuentran aquellos con defectos en el sistema de la fosforilasa hepática (EAG-VI y EAG-IX), la exacta definición nosológica aún no está resulta. La EAG-VI se refiere a un defecto en la fosforilasa hepática, enzima codificada por el gen PYGL, mientras que la EAG-IX es causada por un defecto genético en una de las subunidades de la fosforilasa b quinasa hepática codicadas por los genes PHKA2, PHKB y PHKG2, respectivamente. El objetivo del presente trabajo es propender a la definición nosológica de pacientes con defectos en el sistema de la fosforilasa mediante una estrategia de análisis molecular investigando los genes PYGL, PHKA2, PHKB y PHKG2. Los pacientes incluidos en este estudio deberán ser compatibles de padecer una EAG-VI o EAG-IX sobre la base de síntomas clínicos y hallazgos bioquímicos. La metodología incluirá la determinación de la enzima fosforilasa b quinasa en glóbulos rojos y dentro del análisis molecular la extracción de DNA genómico a partir de sangre entera para la amplificación por PCR de los exones más las uniones exon/intron de los genes PHKG2 y PYGL y la extracción de RNA total y obtención de cDNA para posterior amplificación de los cDNA PHKA2 y PHKB. Todos los fragmentos amplificados serán sometidos a análisis de secuencia de nucleótidos. Resultados esperados. Este trabajo, primero en Argentina, permitirá establecer las bases moleculares de los defectos del sistema de la fosforilasa hepática (EAG-VI y EAG-IX). El poder lograr este nivel de investigación traerá aparejado, una oferta integrativa en el vasto capítulo de las glucogenosis hepáticas, con extraordinaria significación en la práctica asistencial para el manejo, pronóstico y correspondiente asesoramiento genético. Hepatic glycogen storage diseases (GSDs) are a group of disorders produced by a deficiency in a specific protein involved in the metabolism of glycogen causing different types of GSDs. Phenotypic heterogeneity of affected patients difficult to identify the different GSD variants and therefore the correct definition of the disease. In the “Centro de Estudio de las Metabolopatías Congénitas”, CEMECO, were defined the different GSD types by a protocol which included complex gradual levels of clinical, biochemical, enzymatic and morphological investigation. However, in some patients, like those one with defects in the hepatic phosphorylase system (GSD-VI and GSD-IX) the exact definition of the disease has not yet been resolved. The GSD-VI is produced by a defect in the PYGL gen that encode the liver phosphorylase, while the GSD-IX is caused by a genetic defect in one of the Phosphorylase b kinase subunits, encoded by the PHKA2, PHKB and PHKG2 genes, respectively. The aim of the present study is to define the phosphorylase system defects in argentinian patients through a molecular strategy that involve the investigation of PYGL, PHKA2, PHKB and PHKG2 genes. Patients included in the present study must be compatible with a GSD-VI or GSD-IX on the bases of clinical symptoms and biochemical findings. The phosphorylase b kinase activity will be assay on in blood red cells. The molecular study will include genomic DNA extraction for the amplification of PHKG2 and PYGL genes and the total RNA extraction for amplification of the PHKA2 and PHKB cDNA by PCR. All PCR-amplified fragments will be subjected to direct nucleotide sequencing. This work, first in Argentina, will make possible to establish the molecular basis of the defects on the hepatic phosphorylase system (GSD-VI and GSD IX). To achieve this level of research will entail advance in the study of the hepatic glycogen storage disease, with extraordinary significance in the treatment, prognosis and the genetic counselling.

Cost-Effectiveness of High, Moderate and Low-Dose Statins in the Prevention of Vascular Events in the Brazilian Public Health System

Background:Statins have proven efficacy in the reduction of cardiovascular events, but the financial impact of its widespread use can be substantial.Objective:To conduct a cost-effectiveness analysis of three statin dosing schemes in the Brazilian Unified National Health System (SUS) perspective.Methods:We developed a Markov model to evaluate the incremental cost-effectiveness ratios (ICERs) of low, intermediate and high intensity dose regimens in secondary and four primary scenarios (5%, 10%, 15% and 20% ten-year risk) of prevention of cardiovascular events. Regimens with expected low-density lipoprotein cholesterol reduction below 30% (e.g. simvastatin 10mg) were considered as low dose; between 30-40%, (atorvastatin 10mg, simvastatin 40mg), intermediate dose; and above 40% (atorvastatin 20-80mg, rosuvastatin 20mg), high-dose statins. Effectiveness data were obtained from a systematic review with 136,000 patients. National data were used to estimate utilities and costs (expressed as International Dollars - Int$). A willingness-to-pay (WTP) threshold equal to the Brazilian gross domestic product per capita (circa Int$11,770) was applied.Results:Low dose was dominated by extension in the primary prevention scenarios. In the five scenarios, the ICER of intermediate dose was below Int$10,000 per QALY. The ICER of the high versus intermediate dose comparison was above Int$27,000 per QALY in all scenarios. In the cost-effectiveness acceptability curves, intermediate dose had a probability above 50% of being cost-effective with ICERs between Int$ 9,000-20,000 per QALY in all scenarios.Conclusions:Considering a reasonable WTP threshold, intermediate dose statin therapy is economically attractive, and should be a priority intervention in prevention of cardiovascular events in Brazil.

Technique and clinical applications of double balloon enteroscopy for the evaluation of small bowel diseases

Magdeburg, Univ., Med. Fak., Diss., 2012

Analysis of animal models of neurodegenerative diseases with protein deposits

Otto-von-Guericke-Universität Magdeburg, Fakultät für Naturwissenschaften, Univ., Dissertation, 2016

Exploration of the visual system : Part 2. In vivo analysis methods : virtual-reality optomotor system, fundus examination and fluorescent angiography

The mouse has emerged as an animal model for many diseases. At IRO, we have used this animal to understand the development of many eye diseases and treatment of some of them. Precise evaluation of vision is a prerequisite for both these approaches. In this unit we describe three ways to measure vision: testing the optokinetic response, and evaluating the fundus by direct observation and by fluorescent angiography.

Plasmacytoid dendritic cells: one-trick ponies or workhorses of the immune system?

Plasmacytoid dendritic cells (pDCs) were first described as interferon-producing cells and, for many years, their overlapping characteristics with both lymphocytes and classical dendritic cells (cDCs) created confusion over their exact ontogeny. In this Viewpoint article, Nature Reviews Immunology asks five leaders in the field to discuss their thoughts on the development and functions of pDCs--do these cells serve mainly as a major source of type I interferons or do they also make other important contributions to immune responses?

ESCMID* guideline for the diagnosis and management of Candida diseases 2012: prevention and management of invasive infections in neonates and children caused by Candida spp.

Invasive candidiasis (IC) is a relatively common syndrome in neonates and children and is associated with significant morbidity and mortality. These guidelines provide recommendations for the prevention and treatment of IC in neonates and children. Appropriate agents for the prevention of IC in neonates at high risk include fluconazole (A-I), nystatin (B-II) or lactoferrin ± Lactobacillus (B-II). The treatment of IC in neonates is complicated by the high likelihood of disseminated disease, including the possibility of infection within the central nervous system. Amphotericin B deoxycholate (B-II), liposomal amphotericin B (B-II), amphotericin B lipid complex (ABLC) (C-II), fluconazole (B-II), micafungin (B-II) and caspofungin (C-II) can all be potentially used. Recommendations for the prevention of IC in children are largely extrapolated from studies performed in adults with concomitant pharmacokinetic data and models in children. For allogeneic HSCT recipients, fluconazole (A-I), voriconazole (A-I), micafungin (A-I), itraconazole (B-II) and posaconazole (B-II) can all be used. Similar recommendations are made for the prevention of IC in children in other risk groups. With several exceptions, recommendations for the treatment of IC in children are extrapolated from adult studies, with concomitant pharmacokinetic studies. Amphotericin B deoxycholate (C-I), liposomal amphotericin B (A-I), ABLC (B-II), micafungin (A-I), caspofungin (A-I), anidulafungin (B-II), fluconazole (B-I) and voriconazole (B-I) can all be used.

Angiotensinergic neurotransmission in the peripheral autonomic nervous system.

Angiotensin (Ang) II has for long been identified as a neuropeptide located within neurons and pathways of the central nervous system involved in the control of thirst and cardio-vascular homeostasis. The presence of Ang II in ganglionic neurons of celiac, dorsal root, and trigeminal ganglia has only recently been described in humans and rats. Ang II-containing fibers were also found in the mesenteric artery and the heart, together with intrinsic Ang II-containing cardiac neurons. Ganglionic neurons express angiotensinogen and co-localize it with Ang II. Its intraneuronal production as a neuropeptide appears to involve angiotensinogen processing enzymes other than renin. Immunocytochemical and gene expression data suggest that neuronal Ang II acts as a neuromodulatory peptide and co-transmitter in the peripheral autonomic, and also sensory nervous system. Neuronal Ang II probably competes with humoral Ang II for effector cell activation. Its functional role, however, still remains to be determined. Angiotensinergic neurotransmission in the autonomic nervous system is a potential new target for therapeutic interventions in many common diseases such as essential hypertension, heart failure, and cardiac arrhythmia.

Orosomucoid system: 17 additional orosomucoid variants and proposal for a new nomenclature.

There are two forms of orosomucoid (ORM) in the sera of most individuals. They are encoded by two separate but closely linked loci, ORM1 and ORM2. A number of variants have been identified in various populations. Duplication and nonexpression are also observed in some populations. Thus, the ORM system is very complicated and its nomenclature is very confusing. In order to propose a new nomenclature, ORM variants detected by several laboratories have been compared and characterized by isoelectric focusing (IEF) followed by immunoprinting. A total of 57 different alleles including 17 new ones were identified. The 27 alleles were assigned to the ORM1 locus, and the others to the ORM2 locus. The designations ORM*F1, ORM1*F2, ORM1*S and ORM2*M were adopted for the four common alleles instead of ORM1*1, ORM1*3, ORM1*2 and ORM2*1 (ORM2*A), respectively. The variants were designated alpha numerically according to their relative mobilities after IEF in a pH gradient of 4.5-5.4 with Triton X-100 and glycerol. For the duplicated genes a prefix is added to a combined name of two alleles, e.g. ORM1*dB9S. Silent alleles were named ORM1*Q0 and ORM2*Q0 conventionally. In addition, the effects of diseases to ORM band patterns after IEF are also discussed.