Lege Artis Medicinae

[Even Science is Not the Same Any More?]

MAGYAR László András, BÁNFALVI Attila

JANUARY 21, 2006

Lege Artis Medicinae - 2006;16(01)

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[IN-FAMILY VIOLENCE IN CONNECTION WITH HEAVY DRINKING]

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[The interdisciplinary question of in-family violence has been being researched for a long time. The major part of this problem is related to the connection between heavy drinking and infamily violence. The background of its importance can mainly be found in all of those social, economic and personal losses and expenses, which result in the number of missed working hours, the costs of sanitary, police, judicial, punishment cases, nonmaterial harms and personal tragedies. Considering that the question of in-family violence related to alcohol consumption has never been a subject to systematic research in Hungary, Research Institute of Addictology made an attempt to analyse the alcohological relations of in-family violence in course of the research project called 'Violent behaviour in family patients treated with alcohol problems in the domestic abuse'. Detailed plan of the research can be found on the webpage of the institute (www.adki.hu). Within the scope of this project we first surveyed the international technical literature of in-family violence. When editing the themes we worked according to the so-called Mendeleyev-table, which means the collection of technical literature from (mainly American) full-text databases accessible on the Internet while putting the possible themes into logical order.]

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[Affective temperaments (cyclothymic, hypertymic, depressive, anxious, irritable) are stable parts of personality and after adolescent only their minor changes are detectable. Their connections with psychopathology is well-described; depressive temperament plays role in major depression, cyclothymic temperament in bipolar II disorder, while hyperthymic temperament in bipolar I disorder. Moreover, scientific data of the last decade suggest, that affective temperaments are also associated with somatic diseases. Cyclothymic temperament is supposed to have the closest connection with hypertension. The prevalence of hypertension is higher parallel with the presence of dominant cyclothymic affective temperament and in this condition the frequency of cardiovascular complications in hypertensive patients was also described to be higher. In chronic hypertensive patients cyclothymic temperament score is positively associated with systolic blood pressure and in women with the earlier development of hypertension. The background of these associations is probably based on the more prevalent presence of common risk factors (smoking, obesity, alcoholism) with more pronounced cyclothymic temperament. The scientific importance of the research of the associations of personality traits including affective temperaments with somatic disorders can help in the identification of higher risk patient subgroups.]

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[Autism spectrum disorder is a neurodevelopmental disorder with a heterogeneous presentation, the etiology of which is not clearly elucidated. In recent years, comorbidity has become more evident with the increase in the frequency of autism and diagnostic possibilities of inborn errors of metabolism. One hundred and seventy-nine patients with diagnosis of autism spectrum disorder who presented to the Pediatric Metabolism outpatient clinic between 01/September/2018-29/February/2020 constituted the study population. The personal information, routine and specific metabolic tests of the patients were analyzed retrospectively. Out of the 3261 patients who presented to our outpatient clinic, 179 (5.48%) were diagnosed with autism spectrum disorder and were included in the study. As a result of specific metabolic examinations performed, 6 (3.3%) patients were diagnosed with inborn errors of metabolism. Two of our patients were diagnosed with classical phenylketonuria, two with classical homocystinuria, one with mucopolysaccharidosis type 3D (Sanfilippo syndrome) and one with 3-methylchrotonyl Co-A carboxylase deficiency. Inborn errors of metabolism may rarely present with autism spectrum disorder symptoms. Careful evaluation of the history, physical examination and additional findings in patients diagnosed with autism spectrum disorder will guide the clinician in the decision-making process and chose the appropriate specific metabolic investigation. An underlying inborn errors of metabolism may be a treatable cause of autism.]

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Neuroscience highlights: Main cell types underlying memory and spatial navigation

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Interest in the hippocampal formation and its role in navigation and memory arose in the second part of the 20th century, at least in part due to the curious case of Henry G. Molaison, who underwent brain surgery for intractable epilepsy. The temporal association observed between the removal of his entorhinal cortex along with a significant part of hippocampus and the developing severe memory deficit inspired scientists to focus on these regions. The subsequent discovery of the so-called place cells in the hippocampus launched the description of many other functional cell types and neuronal networks throughout the Papez-circuit that has a key role in memory processes and spatial information coding (speed, head direction, border, grid, object-vector etc). Each of these cell types has its own unique characteristics, and together they form the so-called “Brain GPS”. The aim of this short survey is to highlight for practicing neurologists the types of cells and neuronal networks that represent the anatomical substrates and physiological correlates of pathological entities affecting the limbic system, especially in the temporal lobe. For that purpose, we survey early discoveries along with the most relevant neuroscience observations from the recent literature. By this brief survey, we highlight main cell types in the hippocampal formation, and describe their roles in spatial navigation and memory processes. In recent decades, an array of new and functionally unique neuron types has been recognized in the hippocampal formation, but likely more remain to be discovered. For a better understanding of the heterogeneous presentations of neurological disorders affecting this anatomical region, insights into the constantly evolving neuroscience behind may be helpful. The public health consequences of diseases that affect memory and spatial navigation are high, and grow as the population ages, prompting scientist to focus on further exploring this brain region.

Lege Artis Medicinae

[Second game, 37th move and Fourth game 78th move]

VOKÓ Zoltán

[What has Go to do with making clinical decisions? One of the greatest intellectual challenges of bedside medicine is making decisions under uncertainty. Besides the psychological traps of traditionally intuitive and heuristic medical decision making, lack of information, scarce resources and characteristics of doctor-patient relationship contribute equally to this uncertainty. Formal, mathematical model based analysis of decisions used widely in developing clinical guidelines and in health technology assessment provides a good tool in theoretical terms to avoid pitfalls of intuitive decision making. Nevertheless it can be hardly used in individual situations and most physicians dislike it as well. This method, however, has its own limitations, especially while tailoring individual decisions, under inclusion of potential lack of input data used for calculations, or its large imprecision, and the low capability of the current mathematical models to represent the full complexity and variability of processes in complex systems. Nevertheless, clinical decision support systems can be helpful in the individual decision making of physicians if they are well integrated in the health information systems, and do not break down the physicians’ autonomy of making decisions. Classical decision support systems are knowledge based and rely on system of rules and problem specific algorithms. They are utilized widely from health administration to image processing. The current information revolution created the so-called artificial intelligence by machine learning methods, i.e. machines can learn indeed. This new generation of artificial intelligence is not based on particular system of rules but on neuronal networks teaching themselves by huge databases and general learning algorithms. This type of artificial intelligence outperforms humans already in certain fields like chess, Go, or aerial combat. Its development is full of challenges and threats, while it presents a technological breakthrough, which cannot be stopped and will transform our world. Its development and application has already started also in the healthcare. Health professionals must participate in this development to steer it into the right direction. Lee Sedol, 18-times Go world champion retired three years after his historical defeat from AlphaGo artificial intelligence, be­cause “Even if I become the No. 1, there is an entity that cannot be defeated”. It is our great luck that we do not need to compete or defeat it, we must ensure instead that it would be safe and trustworthy, and in collaboration with humans this entity would make healthcare more effective and efficient. ]