West Chester University Zero Waste Atlas Campus Assessment 2021

In Spring 2021, West Chester University’s Office of Sustainability hired the Post- Landfill Action Network (PLAN) to support two Sustainability Peer Educators, Grace Bowden ‘21 and Andrew James ‘21, to conduct a holistic assessment of the University’s waste management system. WCU’s Climate Action Plan includes a goal of achieving zero waste (as defined by 90% diversion from landfills and incinerators), with no defined timeline for achievement. The plan also outlines a number of key next steps in working towards that goal, many of which have yet to be achieved as outlined in this report. WCU remains committed to reduce waste sent to landfill and to change the ways the campus purchases and manages goods to be in the best interests of the environment and WCU. The following report is intended to identify concrete steps that WCU can take to shift towards holistic zero waste systems

Best evidence osteoarthritis care: What are the recommendations and what Is needed to improve practice?

This article provides an overview of osteoarthritis (OA) management recommendations and strategies to improve clinical practice concordance with clinical guidelines. In many countries, the primary point of care for a person with OA is typically general practitioners and physiotherapists. Optimal primary care focuses on core OA treatments, namely education for self-management and lifestyle interventions encompassing increased physical activity, therapeutic exercise, and weight loss (if indicated). Quality indicators are used in clinical practice and research to determine the quality of care and in some settings, are used as knowledge translation tools to address existing evidence-to-practice gaps

Saltwater intrusion into the Changjiang River : a model-guided mechanism study

Author Posting. © American Geophysical Union, 2009. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research 114 (2009): C02006, doi:10.1029/2008JC004831.The Changjiang River (CR) is divided into a southern branch (SB) and a northern branche (NB) by Chongming Island as the river enters the East China Sea. Observations reveal that during the dry season the saltwater in the inner shelf of the East China Sea flows into the CR through the NB and forms an isolated mass of saltwater in the upstream area of the SB. The physical mechanism causing this saltwater intrusion has been studied using the high-resolution unstructured-grid Finite-Volume Coastal Ocean Model (FVCOM). The results suggest that the intrusion is caused by a complex nonlinear interaction process in relation to the freshwater flux upstream, tidal currents, mixing, wind, and the salt distribution in the inner shelf of the East China Sea. The tidal rectification, resulting from the interaction of the convergence or divergence of tidal momentum flux and bottom friction over abrupt topography, produces a net upstreamward volume flux from NB to SB. With river discharge the net water transport in the NB is driven through a momentum balance of surface elevation gradient forcing, horizontal advection, and vertical diffusion. In the dry season, reducing the surface elevation gradient forcing makes tidal rectification a key process favorable for the saltwater intrusion. A northerly wind tends to enhance the saltwater intrusion by reducing the seaward surface elevation gradient forcing rather than either the baroclinic pressure gradient forcing or the wind-driven Ekman transport. A convergence experiment suggests that high grid resolution (∼100 m or less) is required to correctly resolve the net water transport through the NB, particularly in the narrow channel on the northern coast of Chongming Island.The development of FVCOM is supported by the Massachusetts Fisheries Institute through NOAA grants DOC/ NOAA/NA04NMF4720332 and DOC/NOAA/NA05NMF4721131; NSF grants OCE-0234545, OCE-0227679, OCE-0606928, OCE-0712903, OCE-0732084, OCE-0726851, ARC0712903; ARC0732084, and ARC0804029; NOAA grant NA160P2323; and an ONR subcontract grant from the Woods Hole Oceanographic Institution. The development of the nested modeling approach is supported by MIT and URI Sea Grant projects NA060AR41700019 and R/P-061. C. Chen serves as Zi Jiang Scholar at the State Key Laboratory for Estuarine and Coastal Research, East China Normal University (ECNU), and is an adjunct professor at Shanghai Ocean University (SHOU). His contribution is also supported by both ECNU and SHOU. P. Ding is supported by the Chinese National Key Basic Research Project grant 2002CB412403

Appraisal of quality and analysis of the similarities and differences between osteoarthritis Clinical Practice Guideline recommendations: A systematic review

Objective: Clinical Practice Guidelines (CPGs) aim to support management of hip and knee osteoarthritis (OA), but recommendations are often conflicting and implementation is poor, contributing to evidence-to-practice gaps. This systematic review investigated the contextual and methodological factors contributing to conflicting recommendations for hip and knee OA. Method: Our systematic review appraised CPGs for managing hip and knee OA in adults ≥18 years (PROSPERO CRD42021276635). We used AGREE-II and AGREE-REX to assess quality and extracted data on treatment gaps, conflicts, biases, and consensus. Heterogeneity of recommendations was determined using Weighted Fleiss Kappa (K). The relationship between (K) and AGREE-II/AGREE-REX scores was explored. Results: We identified 25 CPGs across eight countries and four international organisations. The ACR, EULAR, NICE, OARSI and RACGP guidelines scored highest for overall AGREE-II quality (83%). The highest overall AGREE-REX scores were for BMJ Arthroscopy (80%), RACGP (78%) and NICE (76%). CPGs with the least agreement for pharmacological recommendations were ESCEO and NICE (−0.14), ACR (−0.08), and RACGP (−0.01). The highest agreements were between RACGP and NICE (0.53), RACGP and ACR (0.61), and NICE and ACR (0.91). Decreased internal validity determined by low-quality AGREE scores(<60%) in editorial independence were associated with less agreement for pharmacological recommendations. Conclusion: There were associations between guideline quality and agreement scores. Future guideline development should be informed by robust evidence, editorial independence and methodological rigour to ensure a harmonisation of recommendations. End-users of CPGs must recognise the contextual factors associated with the development of OA CPGs and balance these factors with available evidence

The Pyruvate Kinase Deficiency Global Longitudinal (Peak) Registry: rationale and study design

Introduction Pyruvate kinase (PK) deficiency is a rare, under-recognised, hereditary condition that leads to chronic haemolytic anaemia and potentially serious secondary complications, such as iron overload, cholecystitis, pulmonary hypertension and extramedullary haematopoiesis. It is an autosomal recessive disease caused by homozygous or compound heterozygous mutations in the PKLR gene. Due to its rarity and clinical heterogeneity, information on the natural history and long-term clinical course of PK deficiency is limited, presenting major challenges to patient management, the development of new therapies and establishing disease-specific treatment recommendations. The Pyruvate Kinase Deficiency Global Longitudinal (Peak) Registry is an initiative to address the gaps in the knowledge of PK deficiency. This manuscript describes the objectives, study design and methodology for the Peak Registry. Methods and analysis The Peak Registry is an observational, longitudinal, global registry of adult and paediatric patients with a genetically confirmed diagnosis of PK deficiency. The Peak Steering Committee is composed of 11 clinicians and researchers with experience in the diagnosis and management of PK deficiency from 10 countries, a patient representative and representatives from the sponsor (Agios Pharmaceuticals). The registry objective is to foster an understanding of the longitudinal clinical implications of PK deficiency, including its natural history, treatments and outcomes, and variability in clinical care. The aim is to enrol up to 500 participants from approximately 60 study centres across 20 countries over 7 years, with between 2 and 9 years of follow-up. Data will include demographics, diagnosis history, genotyping, transfusion history, relevant clinical events, medications, emergency room visits and hospitalisations. Ethics and dissemination Registry protocol and informed consent forms are approved by institutional review boards/independent ethics committees at each study site. The study is being conducted in accordance with the Declaration of Helsinki. Registry data will be published in peer-reviewed journal articles and conference publications

Quantifying HIV transmission flow between high-prevalence hotspots and surrounding communities: a population-based study in Rakai, Uganda

Background International and global organisations advocate targeting interventions to areas of high HIV prevalence (ie, hotspots). To better understand the potential benefits of geo-targeted control, we assessed the extent to which HIV hotspots along Lake Victoria sustain transmission in neighbouring populations in south-central Uganda. Methods We did a population-based survey in Rakai, Uganda, using data from the Rakai Community Cohort Study. The study surveyed all individuals aged 15–49 years in four high-prevalence Lake Victoria fishing communities and 36 neighbouring inland communities. Viral RNA was deep sequenced from participants infected with HIV who were antiretroviral therapy-naive during the observation period. Phylogenetic analysis was used to infer partial HIV transmission networks, including direction of transmission. Reconstructed networks were interpreted through data for current residence and migration history. HIV transmission flows within and between high-prevalence and low-prevalence areas were quantified adjusting for incomplete sampling of the population. Findings Between Aug 10, 2011, and Jan 30, 2015, data were collected for the Rakai Community Cohort Study. 25 882 individuals participated, including an estimated 75·7% of the lakeside population and 16·2% of the inland population in the Rakai region of Uganda. 5142 participants were HIV-positive (2703 [13·7%] in inland and 2439 [40·1%] in fishing communities). 3878 (75·4%) people who were HIV-positive did not report antiretroviral therapy use, of whom 2652 (68·4%) had virus deep-sequenced at sufficient quality for phylogenetic analysis. 446 transmission networks were reconstructed, including 293 linked pairs with inferred direction of transmission. Adjusting for incomplete sampling, an estimated 5·7% (95% credibility interval 4·4–7·3) of transmissions occurred within lakeside areas, 89·2% (86·0–91·8) within inland areas, 1·3% (0·6–2·6) from lakeside to inland areas, and 3·7% (2·3–5·8) from inland to lakeside areas. Interpretation Cross-community HIV transmissions between Lake Victoria hotspots and surrounding inland populations are infrequent and when they occur, virus more commonly flows into rather than out of hotspots. This result suggests that targeted interventions to these hotspots will not alone control the epidemic in inland populations, where most transmissions occur. Thus, geographical targeting of high prevalence areas might not be effective for broader epidemic control depending on underlying epidemic dynamics. Funding The Bill & Melinda Gates Foundation, the National Institute of Allergy and Infectious Diseases, the National Institute of Mental Health, the National Institute of Child Health and Development, the Division of Intramural Research of the National Institute for Allergy and Infectious Diseases, the World Bank, the Doris Duke Charitable Foundation, the Johns Hopkins University Center for AIDS Research, and the President's Emergency Plan for AIDS Relief through the Centers for Disease Control and Prevention

Analysis of protein-coding genetic variation in 60,706 humans

Large-scale reference data sets of human genetic variation are critical for the medical and functional interpretation of DNA sequence changes. We describe the aggregation and analysis of high-quality exome (protein-coding region) sequence data for 60,706 individuals of diverse ethnicities generated as part of the Exome Aggregation Consortium (ExAC). This catalogue of human genetic diversity contains an average of one variant every eight bases of the exome, and provides direct evidence for the presence of widespread mutational recurrence. We have used this catalogue to calculate objective metrics of pathogenicity for sequence variants, and to identify genes subject to strong selection against various classes of mutation; identifying 3,230 genes with near-complete depletion of truncating variants with 72% having no currently established human disease phenotype. Finally, we demonstrate that these data can be used for the efficient filtering of candidate disease-causing variants, and for the discovery of human “knockout” variants in protein-coding genes

Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance : a retrospective cohort study

BACKGROUND : Diagnosing drug-resistance remains an obstacle to the elimination of tuberculosis. Phenotypic drugsusceptibility testing is slow and expensive, and commercial genotypic assays screen only common resistancedetermining mutations. We used whole-genome sequencing to characterise common and rare mutations predicting drug resistance, or consistency with susceptibility, for all fi rst-line and second-line drugs for tuberculosis. METHODS : Between Sept 1, 2010, and Dec 1, 2013, we sequenced a training set of 2099 Mycobacterium tuberculosis genomes. For 23 candidate genes identifi ed from the drug-resistance scientifi c literature, we algorithmically characterised genetic mutations as not conferring resistance (benign), resistance determinants, or uncharacterised. We then assessed the ability of these characterisations to predict phenotypic drug-susceptibility testing for an independent validation set of 1552 genomes. We sought mutations under similar selection pressure to those characterised as resistance determinants outside candidate genes to account for residual phenotypic resistance. FINDINGS : We characterised 120 training-set mutations as resistance determining, and 772 as benign. With these mutations, we could predict 89·2% of the validation-set phenotypes with a mean 92·3% sensitivity (95% CI 90·7–93·7) and 98·4% specifi city (98·1–98·7). 10·8% of validation-set phenotypes could not be predicted because uncharacterised mutations were present. With an in-silico comparison, characterised resistance determinants had higher sensitivity than the mutations from three line-probe assays (85·1% vs 81·6%). No additional resistance determinants were identifi ed among mutations under selection pressure in non-candidate genes. INTERPRETATION : A broad catalogue of genetic mutations enable data from whole-genome sequencing to be used clinically to predict drug resistance, drug susceptibility, or to identify drug phenotypes that cannot yet be genetically predicted. This approach could be integrated into routine diagnostic workfl ows, phasing out phenotypic drugsusceptibility testing while reporting drug resistance early.Wellcome Trust, National Institute of Health Research, Medical Research Council, and the European Union.http://www.thelancet.com/infectionhb201