Lege Artis Medicinae

[What Cannot be Learned from the Books]


SEPTEMBER 19, 2008

Lege Artis Medicinae - 2008;18(08-09)



Further articles in this publication

Lege Artis Medicinae

[The Discovery of Insulin]


Lege Artis Medicinae

[“It is Important to Transmit the Message...” An Interview with Professor Gábor Pavlik by Elemér Nemesánszky]


Lege Artis Medicinae

[The Self-Healing Art of Frida Kahlo]

OLÁH Szabina

Lege Artis Medicinae

[The History of Prosthetics from the Beginning until Today]


Lege Artis Medicinae

[Olympic Games]


All articles in the issue

Related contents

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. ]

Clinical Neuroscience

How to manage MuSK antibody-positive myasthenic crisis during pregnancy?


Myasthenia gravis (MG) is an autoimmune disease that is characterised by the formation of antibodies against acetylcholine receptors in the postsynaptic membrane of the neuromuscular junction. The course of the disease cannot be predicted during pregnancy. A subtype of MG with positive muscle-specific receptor tyrosine kinase (anti-MuSK) antibodies exhibits more localised clinical characteristics and a poor response to treatment compared with the disease subtype that involves positivity for acetylcholine receptor antibodies. Myasthenic crisis is more frequently observed in anti-MuSK-positive myasthenia patients. Anti-MuSK-positive myasthenic crisis management is very difficult and a risky situation during pregnancy. The reported case was 30 years old, female, 9 weeks pregnant and musk antibody positive. She stopped her treatment without asking her doctor because she was planning pregnancy in the 6-month period before her hospitalization. She was intubated for a long time in the intensive care unit due to myasthenic crisis and was very resistant to treatment. During this period, her pregnancy was terminated due to fetal anomaly. Plasmapheresis, IVIg and immunosuppressive treatments were applied. Our patient was discharged after a period of about 10 weeks. We share our treatment management.

Clinical Neuroscience

[Can we influence the negative drug attitude? Interpretation of the rejection of COVID-19 vaccine in the light of results of a pilot study ]

POGÁNY László , HORVÁTH A. András, LAZÁRY Judit

[Vaccination refusal is a serious obstacle to minimizing the spread of COVID-19. Nevertheless, the rejection of vaccine can be considered the result of a negative attitude towards medical treatment, and according to our previously published data, it can be influenced by the underlying affective state. Increased incidence of affective disorders and anxiety could be observed globally during the pandemic, which may have a significant impact on vaccination acceptance. The aim of our pilot study was to determine the association between clinical improvement of affective and neurocognitive symptoms and change of drug attitude and health control beliefs in a sample of psychiatric patients. A data set of 85 patients with psychiatric disorder has been analysed with the use of Patient’s Health Belief Questionnaire on Psychiatric Treatment (PHBQPT) with 5 subscales (Negative Aspect of Medication – NA; Positive Aspect of Medication – PA; Doctor health locus of control- Doctor HLOC; Internal HLOC; Psychological Reactance – PR); Hospital Anxiety Depression Scale (HADS-Anx; HADS-Dep) and neurocognitive tests, such as the Stroop test and the Trail Making Tests. All the tests were performed before and after a 14 days treatment. Paired t-tests and generalized linear models were performed to assess the associations between the variables. The baseline scores of NA and HADS-Anx correlated significantly (p=0.001) and after two weeks of treatment NA decreased (p=0.001), while Doctor HLOC and Internal HLOC increased (p=0.001 and p=0.006). The patients performance of the neurocognitive tests improved (all p<0.05). The reduction of HADS-Anx (p=0.002) and HADS-Dep (p=0.006) scores showed significant associations with the decrease of NA. Increase of the PA score was associated with reduction of HADS-Dep (p=0.028). Improvement of neurocognitive functions had no effect on PHBQPT scores. Important conclusions can be drawn regarding the rejection of the COVID-19 vaccine based on the associations found between the intensity of affective and anxiety symptoms and the attitude towards treatment. Our findings suggest that affective symptoms have a negative influence on the attitude towards treatment and that the improvement of these symptoms can facilitate the acceptance of the therapy, regardless of diagnosis. The modest effect of the improvement of neurocognitive functioning on the attitude towards drugs and the significant role of affective-emotional factors suggest that the accep­tance of vaccination probably cannot be facilitated solely with the aid of educational programs. Considering the increasing incidence of affective disorders during the COVID-19 pandemic, the screening of affective and anxiety symptoms and treatment of these disorders could be an important step towards the acceptance of the vaccine. Although psychiatry is not considered as a frontline care unit of the COVID cases, more attention is needed to pay on the availability of mental health services because refuse of vaccine can develop due to affective disorders too.]

Clinical Neuroscience

A new method to determine the optimal orientation of Slim Modiolar cochlear implant electrode array insertion

HORVÁTH Bence, PERÉNYI Ádám, MOLNÁR Fiona Anna, CSANÁDY Miklós, KISS József Géza, ROVÓ László

Our goal was to determine the optimal orientation of insertion of the Slim Modiolar electrode and develop an easy-to-use method to aid implantation surgery. In some instances, the electrode arrays cannot be inserted in their full length. This can lead to buckling, interscalar dislocation or tip fold-over. In our opinion, one of the possible reasons of tip fold-over is unfavourable orientation of the electrode array. Our goal was to determine the optimal orientation of the Slim Modiolar electrode array relative to clear surgical landmarks and present our method in one specified case. For the measurement, we used the preoperative CT scan of one of our cochlear implant patients. These images were processed by an open source and free image visualization software: 3D Slicer. In the first step we marked the tip of the incus short process and then created the cochlear view. On this view we drew two straight lines: the first line represented the insertion guide of the cochlear implant and the second line was the orientation marker (winglet). We determined the angle enclosed by winglet and the line between the tip of the incus short process and the cross-section of previously created two lines. For the calculation we used a self-made python code. The result of our algorithm for the angle was 46.6055°. To validate this result, we segmented, from the CT scan, the auditory ossicles and the membranaceous labyrinth. From this segmentation we generated a 3D reconstruction. On the 3D view, we can see the position of the previous lines relative to the anatomical structures. After this we rotated the 3D model together with the lines so that the insertion guide forms a dot. In this view, the angle was measured with ImageJ and the result was 46.599°. We found that our method is easy, fast, and time-efficient. The surgery can be planned individually for each patient, based on their routine preoperative CT scan of the temporal bone, and the implantation procedure can be made safer. In the future we plan to use this method for all cochlear implantation surgeries, where the Slim Modiolar electrode is used.

Clinical Neuroscience

[Investigating cognitive impairment in communities of practice – lessons learned]

VAJER Péter, JANCSÓ Zoltán, CSENTERI Orsolya, SZÔLLÔSI Gergô József, ANDRÉKA Péter

[In the “Three Generations for Health” programme, general practitioners were responsible for screening for dementia in their practices using mini-COG and Mini Mental State Examination. The aim was to present the screening results of those included, their assessment by the doctor and the further fate of the patients. After mini-COG test, MMSE test was performed in case of suspected dementia. The examiner categorized the result as abnormal or no abnormal, recorded the referral, and recorded the data in an online interface. Our study is a cross-sectional study; the evolution and distribution of the parameters described in the objectives are described with raw case numbers and proportions. Patients aged 55 years and over were recruited consecutively. Only those cases (29 730) where mini-COG and MMSE test results were available, their assessment by the physician, and referral data to specialist care were analyzed. The Mini-COG test revealed that 64% of the subjects were suspected of cognitive decline. Misclassification occurred in 13 015 cases, with 21% of the Mini-Cog test scores matching cognitive decline and 21% of lesions considered abnormal by GPs. The MMSE test raised the suspicion of dementia in 34% of the sample (10 174 people), with 4 262 (42%) of the participating GPs considering the result abnormal. 11% (2095 people) of people with abnormal Mini-Cog test scores and 17% (1709 people) of people with suspected dementia based on MMSE test scores were referred to specialist care. Our study assessed the practice of detecting cognitive decline in primary health care. The tools adopted for screening for dementia were used by practices, but the assessment of results and referral of suspected cases of dementia to specialist care were below the expected level. There is a need to improve primary care providers’ knowledge of dementia detection and treatment and to strengthen links with specialist care.]