Venous thromboembolism in COVID-19 patients and prediction model: a multicenter cohort study

BACKGROUND: Patients with COVID-19 infection are commonly reported to have an increased risk of venous thrombosis. The choice of anti-thrombotic agents and doses are currently being studied in randomized controlled trials and retrospective studies. There exists a need for individualized risk stratification of venous thromboembolism (VTE) to assist clinicians in decision-making on anticoagulation. We sought to identify the risk factors of VTE in COVID-19 patients, which could help physicians in the prevention, early identification, and management of VTE in hospitalized COVID-19 patients and improve clinical outcomes in these patients. METHOD: This is a multicenter, retrospective database of four main health systems in Southeast Michigan, United States. We compiled comprehensive data for adult COVID-19 patients who were admitted between 1st March 2020 and 31st December 2020. Four models, including the random forest, multiple logistic regression, multilinear regression, and decision trees, were built on the primary outcome of in-hospital acute deep vein thrombosis (DVT) and pulmonary embolism (PE) and tested for performance. The study also reported hospital length of stay (LOS) and intensive care unit (ICU) LOS in the VTE and the non-VTE patients. Four models were assessed using the area under the receiver operating characteristic curve and confusion matrix. RESULTS: The cohort included 3531 admissions, 3526 had discharge diagnoses, and 6.68% of patients developed acute VTE (N = 236). VTE group had a longer hospital and ICU LOS than the non-VTE group (hospital LOS 12.2 days vs. 8.8 days, p \u3c 0.001; ICU LOS 3.8 days vs. 1.9 days, p \u3c 0.001). 9.8% of patients in the VTE group required more advanced oxygen support, compared to 2.7% of patients in the non-VTE group (p \u3c 0.001). Among all four models, the random forest model had the best performance. The model suggested that blood pressure, electrolytes, renal function, hepatic enzymes, and inflammatory markers were predictors for in-hospital VTE in COVID-19 patients. CONCLUSIONS: Patients with COVID-19 have a high risk for VTE, and patients who developed VTE had a prolonged hospital and ICU stay. This random forest prediction model for VTE in COVID-19 patients identifies predictors which could aid physicians in making a clinical judgment on empirical dosages of anticoagulation

Antimicrobial Studies of Aqueous Extract of the Leaves of Lophira Lanceolata

ABSTRACT The antimicrobial activity of aqueous extract of the leaves of Lophira lanceolata was tested on Aspergillus niger, Bacillus subtilis, Candida albicans, Escherichia coli, Pseudomonas aeruginosa, Selaginella selaginoides, Shigella dysenteriae, Staphylococcus aureus, and Streptococcus pyogens. The micro organisms were chosen because they are associated with dysentery, diarrhoea , skin infection, especially burn sites, wounds, pressure, sores and ulcer, The In vitro-antimicrobial assay recorded the zones of inhibition of bacterial and fungal growths. Extracts with inhibition zones greater than (>10mm), were considered active The (MBC) of the aqueous extract showed considerable inhibition of the micro-organisms at higher doses. While the extract inhibited Escherichia coli and Streptococcus pyogens, at 800 mg/kg, the extracts are active at 1000 mg/kg. From the result of the MIC it was observed that the leaves aqueous extract shows comparable minimum inhibitory concentration on all the micro organisms with growth of Escherichia coli, Streptococcus aureus, Streptococcus Pyogens and Selaginella selaginoides Pseudomonas aeruginosa at 6.25mg/ml while for, Bacillus subtilis, Aspergillus niger, Shigella dysenteriae and Candida albicans showing at 12.5 mg/ml The leaves aqueoues extract shows comparable MBC to Tetracycline and Ciprofloxacin, for organisms with 3.125 mg/ml for Shigella dysenteriae, Bacillus subtilis, 6.25mg/ml for Candida albicans, Aspergillus niger while showing 12.5 mg/ml for Escherichia coli, Staphylococcus, Pseudomonas aeruginosa, Streptococcus pyogens and Selaginella selaginoides. This is being reported in this plant for the first time

The Borexino detector at the Laboratori Nazionali del Gran Sasso

Borexino, a large volume detector for low energy neutrino spectroscopy, is currently running underground at the Laboratori Nazionali del Gran Sasso, Italy. The main goal of the experiment is the real-time measurement of sub MeV solar neutrinos, and particularly of the mono energetic (862 keV) Be7 electron capture neutrinos, via neutrino-electron scattering in an ultra-pure liquid scintillator. This paper is mostly devoted to the description of the detector structure, the photomultipliers, the electronics, and the trigger and calibration systems. The real performance of the detector, which always meets, and sometimes exceeds, design expectations, is also shown. Some important aspects of the Borexino project, i.e. the fluid handling plants, the purification techniques and the filling procedures, are not covered in this paper and are, or will be, published elsewhere (see Introduction and Bibliography).Comment: 37 pages, 43 figures, to be submitted to NI

Brokering Gender Empowerment in Energy Access in the Global South

How do energy professionals in the Global South facilitate the brokerage of gender equity and empowerment in energy access? Energy sector professionals, including planners and members of non-governmental organisations (NGOs), are crucial development actors in off-grid contexts. They operate at the intersection between grassroots-level energy access in off-grid household and community buildings and overarching policy frameworks. However, despite their central role, the relationship between their professional practices and gender empowerment in energy access has received little attention. This paper investigates ‘energy brokers’ across Ghana, India, Nigeria and Pakistan based on interviews (n = 86). Subsequent thematic analysis explores these energy brokers’ overarching understandings of gender equity and empowerment, their agency, and brokering practices for energy access (including in relation to emerging energy technologies). Analysis shows ‘differentiated brokerage’ in that energy professionals from the NGOs and the delivery sectors are often better positioned to broker gender equity and women’s empowerment in energy access. However, linkages between equitable access and empowerment need to be better understood, especially at the ‘top’ and go beyond women’s economic productivity. Women’s participation across supply chains of emerging energy-access technology, in energy governance and as energy brokers needs strengthening. Practice relevance Energy professionals occupy an important ‘middle’ position and can help to create changes to overcome gender bias in access to energy. They facilitate the brokerage (understandings, agency and practices) of gender equity and empowerment in energy access in off-grid contexts, including household and community buildings. The evidence from this study shows the performance of energy professionals is critical in facilitating women’s empowerment in energy access. Key recommendations are: (1) energy professionals at the top need to recognise differentiated brokerage across the grassroots–policy spectrum to better identify and equip key actors; (2) energy brokers need to move beyond gender neutrality and economic participation acting on the breadth of women’s empowerment, including psychological dimensions; and (3) women’s participation across energy system transitions needs to be strengthened, with regard to energy supply chains, energy governance and as energy brokers

Biological sample donation and informed consent for neurobiobanking: Evidence from a community survey in Ghana and Nigeria

Copyright: \ua9 2022 Singh 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. Introduction Genomic research and neurobiobanking are expanding globally. Empirical evidence on the level of awareness and willingness to donate/share biological samples towards the expansion of neurobiobanking in sub-Saharan Africa is lacking. Aims To ascertain the awareness, perspectives and predictors regarding biological sample donation, sharing and informed consent preferences among community members in Ghana and Nigeria. Methods A questionnaire cross-sectional survey was conducted among randomly selected community members from seven communities in Ghana and Nigeria. Results Of the 1015 respondents with mean age 39.3 years (SD 19.5), about a third had heard of blood donation (37.2%, M: 42.4%, F: 32.0%, p = 0.001) and a quarter were aware of blood sample storage for research (24.5%; M: 29.7%, F: 19.4%, p = 0.151). Two out of ten were willing to donate brain after death (18.8%, M: 22.6%, F: 15.0%, p<0.001). Main reasons for unwillingness to donate brain were; to go back to God complete (46.6%) and lack of knowledge related to brain donation (32.7%). Only a third of the participants were aware of informed consent (31.7%; M: 35.9%, F: 27.5%, p<0.001). Predictors of positive attitude towards biobanking and informed consent were being married, tertiary level education, student status, and belonging to select ethnic groups. Conclusion There is a greater need for research attention in the area of brain banking and informed consent. Improved context-sensitive public education on neurobiobanking and informed consent, in line with the sociocultural diversities, is recommended within the African sub region

Perceptions and beliefs of community gatekeepers about genomic risk information in African cleft research

BACKGROUND: A fundamental ethical issue in African genomics research is how socio-cultural factors impact perspectives, acceptance, and utility of genomic information, especially in stigmatizing conditions like orofacial clefts (OFCs). Previous research has shown that gatekeepers (e.g., religious, political, family or community leaders) wield considerable influence on the decision-making capabilities of their members, including health issues. Thus, their perspectives can inform the design of engagement strategies and increase exposure to the benefits of genomics testing/research. This is especially important for Africans underrepresented in genomic research. Our study aims to investigate the perspectives of gatekeepers concerning genomic risk information (GRI) in the presence of OFCs in a sub-Saharan African cohort.METHODS: Twenty-five focus group discussions (FGDs) consisting of 214 gatekeepers (religious, community, ethnic leaders, and traditional birth attendants) in Lagos, Nigeria, explored the opinions of participants on genomic risk information (GRI), OFC experience, and the possibility of involvement in collaborative decision-making in Lagos, Nigeria. Transcripts generated from audio recordings were coded and analyzed in NVivo using thematic analysis.RESULTS: Three main themes-knowledge, beliefs, and willingness to act-emerged from exploring the perspective of gatekeepers about GRI in this group. We observed mixed opinions regarding the acceptance of GRI. Many participants believed their role is to guide and support members when they receive results; this is based on the level of trust their members have in them. However, participants felt they would need to be trained by medical experts to do this. Also, religious and cultural beliefs were crucial to determining participants' understanding of OFCs and the acceptance and utilization of GRI.CONCLUSIONS: Incorporating cultural sensitivity into public engagement could help develop appropriate strategies to manage conflicting ideologies surrounding genomic information in African communities. This will allow for more widespread access to the advances in genomics research in underrepresented populations. We also recommend a synergistic relationship between community health specialists/scientists, and community leaders, including spiritual providers to better understand and utilize GRI.</p

Relating gene expression data on two-component systems to functional annotations in Escherichia coli

<p>Abstract</p> <p>Background</p> <p>Obtaining physiological insights from microarray experiments requires computational techniques that relate gene expression data to functional information. Traditionally, this has been done in two consecutive steps. The first step identifies important genes through clustering or statistical techniques, while the second step assigns biological functions to the identified groups. Recently, techniques have been developed that identify such relationships in a single step.</p> <p>Results</p> <p>We have developed an algorithm that relates patterns of gene expression in a set of microarray experiments to functional groups in one step. Our only assumption is that patterns co-occur frequently. The effectiveness of the algorithm is demonstrated as part of a study of regulation by two-component systems in <it>Escherichia coli</it>. The significance of the relationships between expression data and functional annotations is evaluated based on density histograms that are constructed using product similarity among expression vectors. We present a biological analysis of three of the resulting functional groups of proteins, develop hypotheses for further biological studies, and test one of these hypotheses experimentally. A comparison with other algorithms and a different data set is presented.</p> <p>Conclusion</p> <p>Our new algorithm is able to find interesting and biologically meaningful relationships, not found by other algorithms, in previously analyzed data sets. Scaling of the algorithm to large data sets can be achieved based on a theoretical model.</p