26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 - Meeting Abstracts - Antwerp, Belgium. 15–20 July 2017

This work was produced as part of the activities of FAPESP Research,\ud Disseminations and Innovation Center for Neuromathematics (grant\ud 2013/07699-0, S. Paulo Research Foundation). NLK is supported by a\ud FAPESP postdoctoral fellowship (grant 2016/03855-5). ACR is partially\ud supported by a CNPq fellowship (grant 306251/2014-0)

Factors Influencing Medication Errors in the Prehospital Paramedic Environment: A Mixed Method Systematic Review

Introduction: There is limited research available on safe medication management practices in emergency medical services (EMS) practice, with most evidence-based medication safety guidelines based on research in nursing, operating theatre and pharmacy settings. Prevention of errors requires recognition of contributing factors across the spectrum from the organizational level to procedural elements and patient characteristics. Evidence is inconsistent regarding the incidence of medication errors and multiple sources also state that errors are under-reported, making the true magnitude of the problem difficult to quantify. Definitions of error also vary, with the specific context of medication errors in prehospital practice yet to be established. The objective of this review is to identify the factors influencing the occurrence of medication errors by EMS personnel in the prehospital environment. Methods and analysis: The review included both qualitative and quantitative research involving interventions or phenomena related to medication safety or medication error by EMS personnel in the prehospital environment. A search of multiple databases was conducted to identify studies meeting these inclusion criteria. All studies selected were assessed for methodological quality; however, this was not used as a basis for exclusion. Each stage of study selection, appraisal and data extraction was conducted by two independent reviewers, with a third reviewer deciding any unresolved conflicts. The review follows a convergent integrated approach, conducting a single qualitative synthesis of qualitative and 'qualitized' quantitative data. Results: Fifty-six articles were included in the review, with case reports and qualitative studies being the most frequent study types. Qualitative analysis revealed seven major themes: organizational factors (with reporting as a sub-theme), equipment/medications, environmental factors, procedure-related factors, communication, patient-related factors (with pediatrics as a sub-theme) and cognitive factors. Both contributing factors and protective factors were identified. Discussion: The body of evidence regarding medication errors is heterogenous and limited in both quantity and quality. Multiple factors influence medication error occurrence; knowledge of these is necessary to mitigate the risk of errors. Medication error incidence is difficult to quantify due to inconsistent measure, definitions and contexts of research conducted to date. Further research is required to quantify the prevalence of identified factors in specific practice settings

Molecular and morphological differentiation between Aphis gossypii Glover (Hemiptera, Aphididae) and related species, with particular reference to the North American Midwest

The cotton aphid, Aphis gossypii, is one of the most biologically diverse species of aphids; a polyphagous species in a family where most are host specialists. It is economically important and belongs to a group of closely related species that has challenged aphid taxonomy. The research presented here seeks to clarify the taxonomic relationships and status of species within the A. gossypii group in the North American Midwest. Sequences of the mitochondrial cytochrome oxidase 1 (COI), nuclear elongation factor 1-α (EF1-α), and nuclear sodium channel para-type (SCP) genes were used to differentiate between A. gossypii and related species. Aphis monardae, previously synonymised with A. gossypii, is re-established as a valid species. Phylogenetic analyses support the close relationship of members of the A. gossypii group native to North America (A. forbesi, A. monardae, A. oestlundi, A. rubifolii, and A. rubicola), Europe (A. nasturtii, A. urticata and A. sedi), and Asia (A. agrimoniae, A. clerodendri, A. glycines, A. gossypii, A. hypericiphaga, A. ichigicola, A. ichigo, A. sanguisorbicola, A. sumire and A. taraxicicola). The North American species most closely related to A. gossypii are A. monardae and A. oestlundi. The cosmopolitan A. gossypii and A. sedi identified in the USA are genetically very similar using COI and EF1-α sequences, but the SCP gene shows greater genetic distance between them. We present a discussion of the biological and morphological differentiation of these species

Stratified analyses refine association between TLR7 rare variants and severe COVID-19

Summary: Despite extensive global research into genetic predisposition for severe COVID-19, knowledge on the role of rare host genetic variants and their relation to other risk factors remains limited. Here, 52 genes with prior etiological evidence were sequenced in 1,772 severe COVID-19 cases and 5,347 population-based controls from Spain/Italy. Rare deleterious TLR7 variants were present in 2.4% of young (<60 years) cases with no reported clinical risk factors (n = 378), compared to 0.24% of controls (odds ratio [OR] = 12.3, p = 1.27 × 10−10). Incorporation of the results of either functional assays or protein modeling led to a pronounced increase in effect size (ORmax = 46.5, p = 1.74 × 10−15). Association signals for the X-chromosomal gene TLR7 were also detected in the female-only subgroup, suggesting the existence of additional mechanisms beyond X-linked recessive inheritance in males. Additionally, supporting evidence was generated for a contribution to severe COVID-19 of the previously implicated genes IFNAR2, IFIH1, and TBK1. Our results refine the genetic contribution of rare TLR7 variants to severe COVID-19 and strengthen evidence for the etiological relevance of genes in the interferon signaling pathway