Ambulatory surgery in orthopedics: experience of over 10,000 patients

PurposeThe concept of day surgery is becoming an increasingly important part of elective surgery worldwide. Relentless pressure to cut costs may constrain clinical judgment regarding the most appropriate location for a patient’s surgical care. The aim of this study was to determine clinical and quality indicators relating to our experience in orthopedic day durgery, mainly in relation to unplanned overnight admission and readmission rates. Additionally, we focused on describing the main characteristics of the patients that experienced complications, and compared the patient satisfaction rates following ambulatory and non-ambulatory procedures.MethodsWe evaluated 10,032 patients who underwent surgical orthopedic procedures according to the protocols of our Ambulatory Surgery Unit. All complications that occurred were noted. A quality-of-life assessment (SF-36 test) was carried out both pre- and postoperatively. Ambulatory substitution rates and quality indicators for orthopedic procedures were also determined.ResultsThe major complication rate was minimal, with no mortal cases, and there was a high rate of ambulatory substitution for the procedures studied. Outcomes of the SF-36 questionnaire showed significant improvement postoperatively. An unplanned overnight admission rate of 0.14 % was achieved.ConclusionsOur institution has shown that it is possible to provide good-quality ambulatory orthopedic surgery. There still appears to be the potential to increase the proportion of these procedures. Surgeons and anesthesiologists must strongly adhere to strict patient selection criteria for ambulatory orthopedic surgery in order to reduce complications in the immediate postoperative term

A GLP1 receptor agonist diabetes drug ameliorates neurodegeneration in a mouse model of infantile neurometabolic disease

Infantile neuroaxonal dystrophy (INAD) is a rare paediatric neurodegenerative condition caused by mutations in the PLA2G6 gene, which is also the causative gene for PARK14-linked young adult-onset dystonia parkinsonism. INAD patients usually die within their first decade of life, and there are currently no effective treatments available. GLP1 receptor (GLP-1R) agonists are licensed for treating type 2 diabetes mellitus but have also demonstrated neuroprotective properties in a clinical trial for Parkinson's disease. Therefore, we evaluated the therapeutic efficacy of a new recently licensed GLP-1R agonist diabetes drug in a mouse model of INAD. Systemically administered high-dose semaglutide delivered weekly to juvenile INAD mice improved locomotor function and extended the lifespan. An investigation into the mechanisms underlying these therapeutic effects revealed that semaglutide significantly increased levels of key neuroprotective molecules while decreasing those involved in pro-neurodegenerative pathways. The expression of mediators in both the apoptotic and necroptotic pathways were also significantly reduced in semaglutide treated mice. A reduction of neuronal loss and neuroinflammation was observed. Finally, there was no obvious inflammatory response in wild-type mice associated with the repeated high doses of semaglutide used in this study

Census politics in deeply divided societies

Population censuses in societies that are deeply divided along ethnic, religious or linguistic lines can be sensitive affairs – particularly where political settlements seek to maintain peace through the proportional sharing of power between groups. This brief sets out some key findings from a research project investigating the relationship between census politics and the design of political institutions in Bosnia and Herzegovina, Kenya, Lebanon and Northern Ireland

Cyclooxygenase-2 inhibition: effects on tumour growth, cell cycling and lymphangiogenesis in a xenograft model of breast cancer

Cyclooxygenase-2 (COX-2) is associated with poor-prognosis breast cancer. We used a nude mouse xenograft model to determine the effects of COX-2 inhibition in breast cancer. Oestrogen receptor (ER)-positive MCF7/HER2-18 and ER-negative MDAMB231 breast cancer cell lines were injected into nude mice and allowed to form tumours. Mice then received either chow containing Celecoxib (a COX-2 inhibitor) or control and tumour growth measured. Tumour proliferation, apoptosis, COX-2, lymphangiogenesis and angiogenesis were assessed by immunohistochemistry (IHC), Western blotting or Q-PCR. Celecoxib inhibited median tumour growth in MCF7/HER2-18 (58.7%, P=0.029) and MDAMB231 (46.3%, P=0.0002) cell lines compared to control. Cyclooxygenase-2 expression decreased following Celecoxib treatment (MCF7/HER2-18 median control 65.3% vs treated 22.5%, P=0.0001). Celecoxib increased apoptosis in MCF7/HER2-18 tumours (TUNEL 0.52% control vs 0.73% treated, P=0.0004) via inactivation of AKT (median pAKTser473 57.3% control vs 35.5% treated, P=0.0001 – confirmed at Western blotting). Q-PCR demonstrated decreased podoplanin RNA (lymphangiogenesis marker) in the MCF7/HER2-18 – median 2.9 copies treated vs 66.6 control (P=0.05) and MDAMB231-treated groups – median 160.7 copies vs 0.05 control copies (P=0.015), confirmed at IHC. Cyclooxygenase-2 is associated with high levels of activated AKTser473 and lymphangiogenesis in breast cancer. Cyclooxygenase-2 inhibition decreases tumour growth, and may potentially decrease recurrence, by inactivating AKT and decreasing lymphangiogenesis

The use of social media to attract generation Y in organisations

Generation Y are increasingly entering the workforce, making around 50% of the global workforce by 2020. They come to the workplace with distinct characteristics and expectations causing organisations to rethink their traditional working practices. This short paper, will present the main themes from the literature on the contemporary working practices that is the use of Social Media to attract generation Y employees to organisations. Based on the literature a conceptual framework is presented which offers direction for future practitioners and researchers. The three main issues identified in the literature are the generation Y employee characteristics, the use of Social Media in recruitment practices and practical implications for the use of social media in recruitment. The emerging research themes for future studies are: interactive engagement with employees; employee training, organisational transparency; gamification in recruitment and increasing importance of organisational SM policies

Global trends analysis of the main vegetation types throughout the past four decades

International audienceIn remote sensing studies, the photosynthetically active radiation absorbed by chlorophyll in the green leaves of vegetation canopies is measured using Red and Near-Infra Red bands. The Normalized Difference Vegetation Index (NDVI) is one of the most commonly used vegetation indices that are generally obtained from a calculation of the above mentioned bands; it presents a decent surrogate measures of the physiologically functioning surface greenness level. In this study, the latest version of the GIMMS NDVI data set, between the period of January 1982 and December 2015, were used to classify the global vegetation areas into five main categories (i.e. Agriculture Areas, Boreal Forests, Deciduous Forests, Evergreen and Tropical Forests, and Other Vegetation), using a simple and straight-forward method of classification, sumamed Global Vegetation Types Classification (GVTC). The total accuracy of the model reached 90.4% with a kappa value of 87.1%. In each category, a trend analysis has been carried out at both global and continental levels. The objective was to highlight the changes within each category, throughout the past thirty-four years. Results show that Agriculture Areas are increasing worldwide, with a huge upsurge observed since 2011 coinciding with a remarkable decrease in Boreal Forests. Changes in vegetation's classes, between 1982 and 2015, were more pronounceable in continents such as Asia, America and Africa; Europe and Oceania showed limited variations throughout this same period. Following these results, regional policies should be reformed and mitigation plans should be established in order to maintain a sustainable development of the global vegetation lands. The GVTC could be implemented with higher spatial resolution imageries for more local-based assessments

First-Order Kinetic Gas Generation Model Parameters For Wet Landfills

Landfill gas collection data from wet landfill cells were analyzed and first-order gas generation model parameters were estimated for the US EPA landfill gas emissions model (LandGEM). Parameters were determined through statistical comparison of predicted and actual gas collection. The US EPA LandGEM model appeared to fit the data well, provided it is preceded by a lag phase, which on average was 1.5 years. The first-order reaction rate constant, k, and the methane generation potential, Lo, were estimated for a set of landfills with short-term waste placement and long-term gas collection data. Mean and 95% confidence parameter estimates for these data sets were found using mixed-effects model regression followed by bootstrap analysis. The mean values for the specific methane volume produced during the lag phase (Vsto), Lo, and k were 33 m3/Megagrams (Mg), 76 m3/Mg, and 0.28 year-1, respectively. Parameters were also estimated for three full scale wet landfills where waste was placed over many years. The k and Lo estimated for these landfills were 0.21 year-1, 115 m3/Mg, 0.11 year-1, 95 m3/Mg, and 0.12 year-1 and 87 m3/Mg, respectively. A group of data points from wet landfills cells with short-term data were also analyzed. A conservative set of parameter estimates was suggested based on the upper 95% confidence interval parameters as a k of 0.3 year-1 and a Lo of 100 m3/Mg if design is optimized and the lag is minimized. © 2006 Elsevier Ltd. All rights reserved

Cartographie des cultures et estimation du rendement dans la plaine de la bekaa au Liban

International audienceThe objective of our work is to study the potential of using remote sensing data in order to reach an accurate outcome of crop mapping and yield estimation/forecasting in the Bekaa plain of Lebanon. The principle of net primary productivity (NPP) will be followed depending on light use efficiency (LUE), Absorbed Photosynthetically Active Radiation (APAR) following Monteith’s model and Land Surface Energy Balance Algorithm (SEBAL) will be used to describe the spatio-temporal variability in land wetness conditions and soil evaporative fraction. In this regard, biome type and land wetness are expected to have impact on crop radiation use efficiency