Environmental sustainability and gynaecological surgery:Which factors influence behaviour? An interview study

OBJECTIVE: To assess the various factors that influence environmentally sustainable behaviour in gynaecological surgery and examine the differences between gynaecologists and residents.DESIGN: An interview study.SETTING: Academic and non-academic hospitals in the Netherlands.POPULATION: Gynaecologists (n = 10) and residents (n = 6).METHODS: Thematic analysis of semi-structured interviews to determine the various factors that influence environmentally sustainable behaviour in gynaecological surgery and to examine the differences between gynaecologists and residents. By using the Desmond framework and the COM-B BCW, both organisational and individual factors related to behaviour were considered.MAIN OUTCOME MEASURES: Factors that influence environmentally sustainable behaviour.RESULTS: Awareness is increasing but practical knowledge is insufficient. It is crucial to integrate education on the environmental impact of everyday decisions for residents and gynaecologists. Gynaecologists make their own choices but residents' autonomy is limited. There is the necessity to provide environmentally sustainable surgical equipment without compromising other standards. There is a need for a societal change that encourages safe and open communication about environmental sustainability. To transition to environmentally sustainable practices, leadership, time, collaboration with the industry and supportive regulatory changes are essential.CONCLUSION: This study lays the groundwork for promoting more environmentally sustainable behaviour in gynaecological surgery. The key recommendations, addressing hospital regulations, leadership, policy revisions, collaboration with the industry, guideline development and education, offer practical steps towards a more sustainable healthcare system. Encouraging environmentally sustainable practices should be embraced to enhance the well-being of both our planet and our population, driving us closer to a more environmentally sustainable future in healthcare.</p

Genome-wide Analyses Identify KIF5A as a Novel ALS Gene

To identify novel genes associated with ALS, we undertook two lines of investigation. We carried out a genome-wide association study comparing 20,806 ALS cases and 59,804 controls. Independently, we performed a rare variant burden analysis comparing 1,138 index familial ALS cases and 19,494 controls. Through both approaches, we identified kinesin family member 5A (KIF5A) as a novel gene associated with ALS. Interestingly, mutations predominantly in the N-terminal motor domain of KIF5A are causative for two neurodegenerative diseases: hereditary spastic paraplegia (SPG10) and Charcot-Marie-Tooth type 2 (CMT2). In contrast, ALS-associated mutations are primarily located at the C-terminal cargo-binding tail domain and patients harboring loss-of-function mutations displayed an extended survival relative to typical ALS cases. Taken together, these results broaden the phenotype spectrum resulting from mutations in KIF5A and strengthen the role of cytoskeletal defects in the pathogenesis of ALS.Peer reviewe

The genetic architecture of the human cerebral cortex

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

The genetic architecture of the human cerebral cortex

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

INTRODUCTION Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century

A New Method to Improve the Environmental Sustainability of the Operating Room: Healthcare Sustainability Mode and Effect Analysis (HSMEA)

Highlights: What are the main findings? Using the HSMEA, it is possible to systematically reduce operating room waste. The HSMEA identifies carbon hotspots of surgical waste based on waste stream analysis. Solutions for improvement are found by applying the six Rs of waste management. What is the implication of the main finding? A reproducible efficient approach to improve operating room sustainability. A structured and practical tool to reduce the environmental impact of surgical solid waste. The purpose of this study was to describe a new method to effectively improve the environmental impact of operating rooms through a systematic approach. A proven successful prospective risk analysis tool to improve the safety of complex healthcare processes (Healthcare Failure Mode and Effect Analysis) was adapted to reduce the environmental impact of surgical waste. For this novel method, named the Healthcare Sustainability Mode and Effect Analysis (HSMEA), a multidisciplinary team, using a structured step-by-step approach, systematically inventories surgical waste, quantifies its environmental impacts, identifies hotspots, and provides solutions for improvement. The five steps of the HSMEA are described (definition of the topic, team assembly, flowchart creation, hazard analysis, actions and outcome measures) and the surgical procedure of a caesarean section was used as a case study to assess the applicability of this method to improve its environmental impact. Applying the HSMEA to caesarean sections resulted in a 22% volume reduction and a 22% carbon footprint reduction in surgical waste. This was achieved by revising the disposable custom pack in order to reduce the overage that was present, and by intensifying waste stream segregation for plastic and paper recycling. The HSMEA is a practical work floor tool to aid in the reduction of the environmental impact of surgical waste that is applicable to all types of operations. It is reproducible, and because it identifies carbon hotspots, it enables an efficient approach to the issue of operating room pollution

Resuscitation of preterm infants with different inspired oxygen fractions

Objective To test the hypothesis that an initial fraction of inspired oxygen (FiO(2)) of 30% during resuscitation of preterm infants results in less oxidative stress and is associated with improved clinical outcomes compared with an FiO(2) of 65%. Study design Preterm infants of gestational age <32 weeks (n = 193) were randomized to start resuscitation with either 30% oxygen (low-oxygen group) or 65% oxygen (high-oxygen group), after which the FiO2 was adjusted based on oxygen saturation values. The primary outcome was bronchopulmonary dysplasia (BPD) assessed at 36 weeks postmenstrual age. Secondary outcomes included major neonatal illnesses and markers of oxidative stress. Results The median gestational age of included infants was 28 6 /7 weeks (IQR, 26 5 /7-30 3 /7 weeks). The incidence of BPD was not significantly different between the low-oxygen and high-oxygen groups (24% vs 17%; P = .15). The FiO(2) in both groups was adjusted to a mean of 40% by 7 minutes in the low-oxygen group and by 11 minutes in the high-oxygen group. No differences in markers of oxidative stress were noted between groups. Conclusion Initial supplementation of preterm infants with 30% oxygen during the fetal-to-neonatal transition is as safe as 65% oxygen, with no differences in oxidative stress markers or BPD

Mycoplasma pneumoniaetriggering the Guillain-Barré syndrome: A case-control study

OBJECTIVE: Guillain-Barré syndrome (GBS) is an acute postinfectious immune-mediated polyneuropathy. Although preceding respiratory tract infections with Mycoplasma pneumoniae have been reported in some cases, the role of M. pneumoniae in the pathogenesis of GBS remains unclear. We here cultured, for the first time, M. pneumoniae from a GBS patient with antibodies against galactocerebroside (GalC), which cross-reacted with the isolate. This case prompted us to unravel the role of M. pneumoniae in GBS in a case-control study. ETHODS: We included 189 adults and 24 children with GBS and compared them to control cohorts for analysis of serum antibodies against M. pneumoniae (n = 479) and GalC (n = 198). RESULTS: Anti-M. pneumoniae immunoglobulin (Ig) M antibodies were detected in GBS patients and healthy controls in 3% and 0% of adults (p = 0.16) and 21% and 7% of children (p = 0.03), respectively. Anti-GalC antibodies (IgM and/or IgG) were found in 4% of adults and 25% of children with GBS (p = 0.001). Anti-GalC-positive patients showed more-frequent preceding respiratory symptoms, cranial nerve involvement, and a better outcome. Anti-GalC antibodies correlated with anti-M. pneumoniae antibodies (p < 0.001) and cross-reacted with different M. pneumoniae strains. Anti-GalC IgM antibodies were not only found in GBS patients with M. pneumoniae infection, but also in patients without neurological disease (8% vs 9%; p = 0.87), whereas anti-GalC IgG was exclusively found in patients with GBS (9% vs 0%; p = 0.006). INTERPRETATION: M. pneumoniae infection is associated with GBS, more frequently in children than adults, and elicits anti-GalC antibodies, of which specifically anti-GalC IgG may contribute to the pathogenesis of GBS. Ann Neurol 2016;80:566-580