The effectiveness of ‘practice while watching’ technique for the first aid training of the chemical industry employees

INTRODUCTION: Industrial accidents constitute about 20% of all causes of accidents. They are often sudden, unexpected and may lead to tragic consequences, which however can be partially reduced if first aid and emergency treatment are given as soon as possible. The most important part of a chain of survival is the bystanders’ response. In practice, it is highly dependent on the ability of co-workers to perform basic first-aid tasks. The aim of this paper was to present the effectiveness of ‘practice while watching’ training method for the first aid training of the chemical industry employees. The authors focused on the most important elements of the training, which have an impact on the acquisition of knowledge and skills of first aid.  MATERIAL AND METHODS: The training involved 69 employees of the chemical industry. The test sheets were used for the assessment, where each of the action steps was assigned points 0 for incorrect and 1 for a properly performed activity.  RESULTS: Each step was completed by at least 76% of workers. When providing both adult and infant CPR, the main difficulty was calling for help. Younger employees obtained better results than older colleagues.  CONCLUSIONS: The study demonstrated the high effectiveness of the ‘practice while watching’ method. In addition, workers’ age turned out to be a significant variable which affected their performance.

Recommendations for the use of simulation methods in a selected area of health sciences based on an example simulation scenario

Over the past two decades, there has been rapid and enthusiastic acceptance of the simulation in medical education on the international stage. Poland compared to other countries has become unique due to the possibility of developing simulation and education by training teachers who teach medical professions, and building simulation centres.One of the most important milestones in the development of the curriculum in medical and health sciences is the introduction of a simulation-based teaching method. Active teaching methods, including medical simulation, create conditions for independent learning,so they should be permanently included in the canon of education methods in the field of health sciences

Elective lung resection increases spatial QRS-T angle and QTc interval

Background: Lung resection changes intra-thoracic anatomy, which may affect electrocardiographic results. While postoperative cardiac arrhythmias have been recognized after lung resection, no study has documented changes in vectorcardiographic variables in patients undergoing this surgery. The purpose of this study was to analyse changes in spatial QRS-T angle (spQRS-T) and corrected QT interval (QTc) after lung resection.Methods: Adult patients undergoing elective lung resection under general anaesthesia were studied. The patients were allocated into four groups: those undergoing (1) left lobectomy (LL); (2) left pneumonectomy (LP); (3) right lobectomy (RL); and (4) right pneumonectomy (RP). The spQRS-T angle and QTc interval were measured one day before surgery (baseline) and 24, 48 and 72 h after surgery.Results: Seventy-one adult patients (47 men and 24 women) aged 47–80 (65 ± 7) years were studied. In the study group as a whole, lung resection was associated with significant increases in spQRS-T (p < 0.001) and QTc (p < 0.05 at 24 and 48 h and p < 0.01 at 72 h). The greatest changes were noted in patients undergoing LP. Postoperative atrial fibrillation (AF) was noted in 6.4% of patients studied, in whom the widest spQRS-T angle and the most prolonged QTc intervals were also noted.Conclusions: Lung resection widens the spQRS-T angle and prolongs the QTc interval, especially in patients undergoing LP. While postoperative AF was a relatively rare complication after lung resection in this study, it was associated with the widest spQRS-T angles and most prolonged QTc intervals

Graphene printing for textronic devices

Grafen se dokazao kao izvrstan nanomaterijal za suvremene elektroničke namjene kao što su biosenzori, tranzistori ili grijači. Nastojanja su da se ovaj novi nanomaterijal upotrebljava za razvoj jedinstvenih tekstroničkih uređaja. Trenutno stanje znanosti o materijalima pokazuje mogućnosti dizajna pametnih tekstila s grafenom. Autori iznose rezultate primjene 2D ugljikove strukture u tekstroničkim uređajima. Primjena novorazvijenih tinti i pasta daju zanimljiva svojstva tekstilu kao što su električna vodljivost i osjetljivost na hlapljive organske spojeve.Graphene has been proved to be an excellent nanomaterial for modern electronic applications such as biosensors, transistors or heaters. The natural point of view is to use this new nanomaterial for the development of unique textronic devices. The current state of the art of the materials science shows design possibilities of the smart textiles with graphene. The authors show the results of implementation of 2D carbon structure into the textronic devices. The development inks and pastes give interesting properties of textile such as electro conductivity and sensitive to the volatile organic compounds

Exome sequencing to explore the possibility of predicting genetic susceptibility to the joint occurrence of polycystic ovary syndrome and Hashimoto’s thyroiditis

A large body of evidence indicates that women with polycystic ovary syndrome (PCOS) have a higher risk of developing Hashimoto’s thyroiditis (HT) than healthy individuals. Given the strong genetic impact on both diseases, common predisposing genetic factors are possibly involved but are not fully understood. Here, we performed whole-exome sequencing (WES) for 250 women with sporadic PCOS, HT, combined PCOS and HT (PCOS+HT), and healthy controls to explore the genetic background of the joint occurrence of PCOS and HT. Based on relevant comparative analyses, multivariate logistic regression prediction modeling, and the most informative feature selection using the Monte Carlo feature selection and interdependency discovery algorithm, 77 variants were selected for further validation by TaqMan genotyping in a group of 533 patients. In the allele frequency test, variants in RAB6A, GBP3, and FNDC7 genes were found to significantly (padjusted < 0.05) differentiated the PCOS+HT and PCOS groups, variant in HIF3A differentiated the PCOS+HT and HT groups, whereas variants in CDK20 and CCDC71 differentiated the PCOS+HT and both single disorder groups. TaqMan genotyping data were used to create final prediction models, which differentiated between PCOS+HT and PCOS or HT with a prediction accuracy of AUC = 0.78. Using a 70% cutoff of the prediction score improved the model parameters, increasing the AUC value to 0.87. In summary, we demonstrated the polygenic burden of both PCOS and HT, and many common and intersecting signaling pathways and biological processes whose disorders mutually predispose patients to the development of both diseases

Managing patients on extracorporeal membrane oxygenation support during the COVID-19 pandemic – a proposal for a nursing standard operating procedure

Background Extracorporeal membrane oxygenation (ECMO) is effective in a selected critically ill patient population with promising results in refractory hypoxemia related to the novel coronavirus disease (COVID-19). However, it requires specialized clinicians and resources in advanced technology. Moreover, the COVID-19 remains an ongoing global emergency, and there is no evidence-based practice in preparedness. This article proposes an innovative and optimized nursing care protocol, the Standard Operating Procedure (SOP), that regulates safety and efficiency in using personal protective equipment (PPE) during ECMO-relevant procedures while providing ECMO therapy for patients with COVID-19. Methods After performing a narrative literature search, we developed a high-fidelity translational simulation scenario. It included practicing appropriate donning and doffing PPE during work organization, ECMO-related procedures, and routine daily nursing care and management of ECMO over nine hours. In addition, we held supplementary constructive debrief meetings to consult international expert in the field. Results A proposal for nursing standardized operating procedures was created, divided into categories. They included work organization, workload references, competences, infrastructural conditions, cannulation equipment, daily routine nursing care, and procedures during ECMO. Conclusions High-fidelity medical simulation can play an important role in staff training, improvement in previously gained proficiency, and development of optimal SOP for nursing care and management during ECMO in patients with COVID-19. Optimal SOPs may further guide multidisciplinary teams, including intensive care units and interventional departments

Current Status of Forecasting Toxic Harmful Algae for the North-East Atlantic Shellfish Aquaculture Industry

Across the European Atlantic Arc (Scotland, Ireland, England, France, Spain, and Portugal) the shellfish aquaculture industry is dominated by the production of mussels, followed by oysters and clams. A range of spatially and temporally variable harmful algal bloom species (HABs) impact the industry through their production of biotoxins that accumulate and concentrate in shellfish flesh, which negatively impact the health of consumers through consumption. Regulatory monitoring of harmful cells in the water column and toxin concentrations within shellfish flesh are currently the main means of warning of elevated toxin events in bivalves, with harvesting being suspended when toxicity is elevated above EU regulatory limits. However, while such an approach is generally successful in safeguarding human health, it does not provide the early warning that is needed to support business planning and harvesting by the aquaculture industry. To address this issue, a proliferation of web portals have been developed to make monitoring data widely accessible. These systems are now transitioning from “nowcasts” to operational Early Warning Systems (EWS) to better mitigate against HAB-generated harmful effects. To achieve this, EWS are incorporating a range of environmental data parameters and developing varied forecasting approaches. For example, EWS are increasingly utilizing satellite data and the results of oceanographic modeling to identify and predict the behavior of HABs. Modeling demonstrates that some HABs can be advected significant distances before impacting aquaculture sites. Traffic light indices are being developed to provide users with an easily interpreted assessment of HAB and biotoxin risk, and expert interpretation of these multiple data streams is being used to assess risk into the future. Proof-of-concept EWS are being developed to combine model information with in situ data, in some cases using machine learning-based approaches. This article: (1) reviews HAB and biotoxin issues relevant to shellfish aquaculture in the European Atlantic Arc (Scotland, Ireland, England, France, Spain, and Portugal; (2) evaluates the current status of HAB events and EWS in the region; and (3) evaluates the potential of further improving these EWS though multi-disciplinary approaches combining heterogeneous sources of information.Versión del edito

Exome-wide association study to identify rare variants influencing COVID-19 outcomes : Results from the Host Genetics Initiative

Publisher Copyright: Copyright: © 2022 Butler-Laporte et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Host genetics is a key determinant of COVID-19 outcomes. Previously, the COVID-19 Host Genetics Initiative genome-wide association study used common variants to identify multiple loci associated with COVID-19 outcomes. However, variants with the largest impact on COVID-19 outcomes are expected to be rare in the population. Hence, studying rare variants may provide additional insights into disease susceptibility and pathogenesis, thereby informing therapeutics development. Here, we combined whole-exome and whole-genome sequencing from 21 cohorts across 12 countries and performed rare variant exome-wide burden analyses for COVID-19 outcomes. In an analysis of 5,085 severe disease cases and 571,737 controls, we observed that carrying a rare deleterious variant in the SARS-CoV-2 sensor toll-like receptor TLR7 (on chromosome X) was associated with a 5.3-fold increase in severe disease (95% CI: 2.75–10.05, p = 5.41x10-7). This association was consistent across sexes. These results further support TLR7 as a genetic determinant of severe disease and suggest that larger studies on rare variants influencing COVID-19 outcomes could provide additional insights.Peer reviewe