Discussed Poster Abstracts – PM1

B PM1-030 b B Adverse drug reaction profile of drug interactions involving a protein kinase inhibitor indicated in chronic myeloid leukemia from pharmacovigilance databases b M. C. Pajiep, M. Lapeyre-Mestre and F. Despas I Centre Hospitalier Universitaire (CHU) de Toulouse, France i B Introduction: b The introduction of protein kinase inhibitors (PKIs) for chronic myeloid leukemia (CML) has considerably improved prognosis of the disease but has also demonstrated a great potential for drug-drug interactions. Service de Médecine Interne et Infectiologie, Groupe Hospitalier Diaconesses-Croix Saint-Simon, Paris, France i B Introduction: b Despite an important drug-drug interaction, it was previously suggested the clindamycin-rifampicin combination could be used in patients with bone and joints infections (BJIs) provided clindamycin is administered by continuous infusion. Most of eligible patients to the antiviral drug can benefit from it despite the risk of drug-drug interaction. Twenty patients received clindamycin without rifampicin, 19 patients received clindamycin concomitantly with rifampicin and the remaining 85 received clindamycin successively without and with rifampicin. B Results: b Among 957 patients treated with anti-PD-1/PD-L1 during the data collection period, 686 patients were included: 430 new users of a SD regimen, 161 patients who started with SD and switched to ED regimen during follow-up, and 95 new users of an ED regimen. [Extracted from the article] Copyright of Fundamental & Clinical Pharmacology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

The Landscape of Medical Translators and Interpreters During the Coronavirus Pandemic: Terminology, Deontology and Teaching-Learning Resources from the Translation Studies Perspective (English, French, Spanish)

This chapter describes the professional situation that medical translators and interpreters had to face during the COVID-19 pandemic in Spain. Due to the state of alarm declared on 16th March 2020, many people who were born abroad but who were in that moment living, working or in some cases sightseeing in Spain, could not return to their respective countries. As time passed by, the situation got worse, and thus there were thousands of foreign people who got the coronavirus in Spain, many of whom had to be admitted to hospitals. It is in situations like these when medical translators and interpreters are useful due to the logical nervousness of the situation. Even people who speak Spanish feel themselves much more protected and informed if an English/Spanish or French/Spanish specialist can explain to them how their health situation is doing. It was during this period when the Spanish Ministry of Health and many other professional organizations asked for the collaboration of medical translators and interpreters who spoke English, French, German and even Chinese. The following pages contain a glossary with English/French/Spanish terminology regarding all the coronavirus terms that were mainly used within translation and interpreting scenarios, some lecturing proposals from a Translation and Interpreting Teaching-Learning point of view and the description of the deontology for language mediators in situations of despair and uneasiness such as the COVID-19 pandemic. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

The Issue of Post-COVID Syndrome in Children and Adolescents: Approaches to Terminology, Pathogenesis, Clinical Manifestations, Diagnosis, and Treatment.

The article discusses the issues of terminology, epidemiology, etiopathogenesis, clinical manifestations, approaches to the diagnosis and treatment of post-covid syndrome (PCS). It has been shown that the incidence of PCS in people who had COVID-19 is 10-35%;there are no generally accepted approaches to defining the term PCS. Clinical manifestations of PCS include more than 50 symptoms that occur in both children and adults, regardless of their place of residence. The damage caused by metabolites of the systemic inflammatory response of the central nervous system with the formation of a syndrome of autonomic dysfunction, cognitive impairment, and affective disorders is of critical importance in the genesis of PCS. Antipsychotics, antidepressants, and benzodiazepine drugs are used in the correction of PCS. However, they have limitations, in particular - when used in children with comorbid disorders. The use of aminoacetic acid (glycine), which has a wide range of safety, anxiolytic, anti-inflammatory, and nootropic effects in the correction of PCS, can become an effective therapeutic strategy.Copyright © Team of Authors, 2022.

Termbot: A Chatbot-Based Crossword Game for Gamified Medical Terminology Learning.

Medical terminology can be challenging for healthcare students due to its unfamiliar and lengthy terms. Traditional methods such as flashcards and memorization can be ineffective and require significant effort. To address this, an online chatbot-based learning model called Termbot was designed to provide an engaging and convenient method for enhancing medical terminology learning. Termbot, accessible through the LINE platform, offers crossword puzzles that turn boring medical terms into a fun learning experience. An experimental study was conducted, which showed that students who trained with Termbot made significant progress in learning medical terms, demonstrating the potential of chatbots to improve learning outcomes. Termbot's gamified approach to learning can also be applied to other fields, making it a useful tool for students to learn medical terminology conveniently and enjoyably.

Poster Abstracts

B Method: b A semi-structured interview consisting of 20 open-ended questions was administered to 12 patients diagnosed with bipolar disorder (BD), to their caregivers and to 12 psychiatrists who were involved in the treatment of BD patients. During olanzapine treatment (mean duration, weeks [SZ = 24.7;BD-I = 25.9]), average change in weight was highest for underweight/normal weight patients (SZ = 5.9%;BD-I = 6.5%), followed by overweight (SZ = 3.7%;BD-I = 4.9%) and obese patients (SZ = 2.5%;BD-I = 3.2%). P30Fibromyalgia in patients with bipolar disorder- a cohort analysis Daniel Vasile SP 1,* sp , Octavian Vasiliu SP 2 sp SP I 1 i sp I University of Medicine and Pharmacy Carol Davila;i SP I 2 i sp I University Emergency Central Military Hospital Dr. Carol Davila i B Introduction: b A high prevalence of bipolar disorder (BD) was reported in patients with fibromyalgia, and the potential risk of treating these individuals with antidepressants has been underlined in the literature [1,2]. Deniz Ceylan SP 1,* sp , Nese Yorguner SP 2 sp , Devran Tan SP 3 sp , Kürsat Altinbas SP 4 sp , Sibel Çakir SP 5 sp SP I 1 i sp I Koç University;i SP I 2 i sp I Marmara University;i SP I 3 i sp I Nisantasi University;i SP I 4 i sp I Selçuk University;i SP I 5 i sp I Bahçesehir University i B Introduction: b Beyond a significant psychological burden in lives of patients with bipolar disorders, the COVID-19 outbreak created a significant obstacle in accessibility to mental health services, which raised a need for a country-wide network of healthcare providers for bipolar disorders in Turkey. [Extracted from the article] Copyright of Bipolar Disorders is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

COVID term: a bilingual terminology for COVID-19.

BACKGROUND: The coronavirus disease (COVID-19), a pneumonia caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has shown its destructiveness with more than one million confirmed cases and dozens of thousands of death, which is highly contagious and still spreading globally. World-wide studies have been conducted aiming to understand the COVID-19 mechanism, transmission, clinical features, etc. A cross-language terminology of COVID-19 is essential for improving knowledge sharing and scientific discovery dissemination. METHODS: We developed a bilingual terminology of COVID-19 named COVID Term with mapping Chinese and English terms. The terminology was constructed as follows: (1) Classification schema design; (2) Concept representation model building; (3) Term source selection and term extraction; (4) Hierarchical structure construction; (5) Quality control (6) Web service. We built open access for the terminology, providing search, browse, and download services. RESULTS: The proposed COVID Term include 10 categories: disease, anatomic site, clinical manifestation, demographic and socioeconomic characteristics, living organism, qualifiers, psychological assistance, medical equipment, instruments and materials, epidemic prevention and control, diagnosis and treatment technique respectively. In total, COVID Terms covered 464 concepts with 724 Chinese terms and 887 English terms. All terms are openly available online (COVID Term URL: http://covidterm.imicams.ac.cn ). CONCLUSIONS: COVID Term is a bilingual terminology focused on COVID-19, the epidemic pneumonia with a high risk of infection around the world. It will provide updated bilingual terms of the disease to help health providers and medical professionals retrieve and exchange information and knowledge in multiple languages. COVID Term was released in machine-readable formats (e.g., XML and JSON), which would contribute to the information retrieval, machine translation and advanced intelligent techniques application.