The impact of the reverse prosthesis on revision shoulder arthroplasty: analysis of a high-volume shoulder practice

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Cardiovascular adaptations as a result of exercise conducted at high-intensity and high-volume are often termed the ‘Athlete’s heart’. Studies have shown that these cardiovascular adaptations vary between sexes. It is important that both sexes are well represented in this literature. However, many studies assessing the impact of high-dose exercise on cardiovascular outcomes under-recruit female participants. Purpose This scoping review aimed to evaluate the representation of females in studies assessing the impact of high-dose exercise on cardiovascular outcomes and demonstrate how this has changed over time. Methods The scoping review protocol as outlined by Arksey and O’Malley was used. OVID and EMBASE databases were searched and studies independently reviewed by two reviewers. Studies must have investigated the effects of high-dose exercise on cardiovascular outcomes. To assess how the recruitment of females has changed over time, two methods were used. One, the median study date was used to categorise studies into two groups. Two, studies were divided into deciles to form ten equal groups over the study period. Mean percentage of female recruitment and percentage of studies that failed to include females were calculated. Results Overall, 250 studies were included. Over half the studies (50.8%, n = 127) did not include female participants. Only 3.2% (n = 8) did not include male participants. Overall, mean percentage recruitment was 18.2%. The mean percentage of recruitment was 14.5% before 2011 and 21.8% after 2011. The most recent decile of studies demonstrated the highest mean percentage of female recruitment (29.3%) and lowest number of studies that did not include female participants (26.9%). Conclusion Female participants are significantly underrepresented in studies assessing cardiovascular outcomes caused by high-dose exercise. The most recent studies show that female recruitment may be improving, however, this still falls significantly short for equal representation. Risk factors, progression and management of cardiovascular diseases vary between sexes, hence, translating findings from male dominated data is not appropriate. Future investigators should aim to establish barriers and strategies to optimise fair recruitment. Mean percentage females recruited per study (%) Percentage studies that do not include women (%) Overall (n = 250) 18.2 50.8 (n = 127) Studies before 2011 (n = 121) 14.5 59.5 (n = 72) Studies after 2011 (n = 129) 21.8 42.6 (n = 55) Table 1: Female recruitment characteristics. The year 2011 (median study year) was chosen as this divides all included studies into two equal groups.

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A Comparative UAV Forensic Analysis: Static and Live Digital Evidence Traceability Challenges

Drones ◽

10.3390/drones5020042 ◽

2021 ◽

Vol 5 (2) ◽

pp. 42

Author(s):

Fahad E. Salamh ◽

Umit Karabiyik ◽

Marcus K. Rogers ◽

Eric T. Matson

Keyword(s):

High Volume ◽

Forensic Analysis ◽

Digital Evidence ◽

Incident Response ◽

Scientific Contribution ◽

Response Plan ◽

Technical Challenges ◽

And Control ◽

The Impact ◽

Categorization Model

The raising accessibility of Unmanned Aerial Vehicles (UAVs), colloquially known as drones, is rapidly increasing. Recent studies have discussed challenges that may come in tow with the growing use of this technology. These studies note that in-depth examination is required, especially when addressing challenges that carry a high volume of software data between sensors, actuators, and control commands. This work underlines static and live digital evidence traceability challenges to further enhance the UAV incident response plan. To study the live UAV forensic traceability issues, we apply the `purple-teaming’ exercise on small UAVs while conducting UAV forensic examination to determine technical challenges related to data integrity and repeatability. In addition, this research highlights current static technical challenges that could pose more challenges in justifying the discovered digital evidence. Additionally, this study discusses potential drone anti-forensic techniques and their association with the type of use, environment, attack vector, and level of expertise. To this end, we propose the UAV Kill Chain and categorize the impact and complexity of all highlighted challenges based on the conducted examination and the presented scientific contribution in this work. To the best of our knowledge, there has not been any contribution that incorporates `Purple-Teaming’ tactics to evaluate UAV-related research in cybersecurity and digital forensics. This work also proposes a categorization model that classifies the discovered UAV static and live digital evidence challenges based on their complexity and impact levels

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The Clean pilot study: evaluation of an environmental hygiene intervention bundle in three Tanzanian hospitals

Antimicrobial Resistance and Infection Control ◽

10.1186/s13756-020-00866-8 ◽

2021 ◽

Vol 10 (1) ◽

Author(s):

Giorgia Gon ◽

Abdunoor M. Kabanywanyi ◽

Petri Blinkhoff ◽

Simon Cousens ◽

Stephanie J. Dancer ◽

...

Keyword(s):

Pilot Study ◽

Study Design ◽

Low Income ◽

High Volume ◽

Surface Cleaning ◽

Low Income Countries ◽

Training Period ◽

Future Research ◽

Environmental Hygiene ◽

The Impact

Abstract Background Healthcare associated infections (HAI) are estimated to affect up to 15% of hospital inpatients in low-income countries (LICs). A critical but often neglected aspect of HAI prevention is basic environmental hygiene, particularly surface cleaning and linen management. TEACH CLEAN is an educational intervention aimed at improving environmental hygiene. We evaluated the effectiveness of this intervention in a pilot study in three high-volume maternity and newborn units in Dar es Salaam, Tanzania. Methods This study design prospectively evaluated the intervention as a whole, and offered a before-and-after comparison of the impact of the main training. We measured changes in microbiological cleanliness [Aerobic Colony Counts (ACC) and presence of Staphylococcus aureus] using dipslides, and physical cleaning action using gel dots. These were analysed with descriptive statistics and logistic regression models. We used qualitative (focus group discussions, in-depth interviews, and semi-structured observation) and quantitative (observation checklist) tools to measure why and how the intervention worked. We describe these findings across the themes of adaptation, fidelity, dose, reach and context. Results Microbiological cleanliness improved during the study period (ACC pre-training: 19%; post-training: 41%). The odds of cleanliness increased on average by 1.33 weekly during the pre-training period (CI = 1.11–1.60), and by 1.08 (CI = 1.03–1.13) during the post-training period. Cleaning action improved only in the pre-training period. Detection of S. aureus on hospital surfaces did not change substantially. The intervention was well received and considered feasible in this context. The major pitfalls in the implementation were the limited number of training sessions at the hospital level and the lack of supportive supervision. A systems barrier to implementation was lack of regular cleaning supplies. Conclusions The evaluation suggests that improvements in microbiological cleanliness are possible using this intervention and can be sustained. Improved microbiological cleanliness is a key step on the pathway to infection prevention in hospitals. Future research should assess whether this bundle is cost-effective in reducing bacterial and viral transmission and infection using a rigorous study design.

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Effects of COVID-19 Pandemic on the Treatment of Pancreatic Cancer: A Perspective from Central Europe

Digestive Surgery ◽

10.1159/000513157 ◽

2021 ◽

Vol 38 (2) ◽

pp. 158-165

Author(s):

Ilaria Pergolini ◽

I. Ekin Demir ◽

Christian Stöss ◽

Klaus Emmanuel ◽

Robert Rosenberg ◽

...

Keyword(s):

Pancreatic Cancer ◽

Cancer Patients ◽

Central Europe ◽

Pancreatic Surgery ◽

Online Survey ◽

Viral Infections ◽

High Volume ◽

Tumor Board ◽

Standards Of Care ◽

The Impact

Background: This survey aimed to register changes determined by the COVID-19 pandemic on pancreatic surgery in a specific geographic area (Germany, Austria, and Switzerland) to evaluate the impact of the pandemic and obtain interesting cues for the future. Methods: An online survey was designed using Google Forms focusing on the local impact of the pandemic on pancreatic surgery. The survey was conducted at 2 different time points, during and after the lockdown. Results: Twenty-five respondents (25/56) completed the survey. Many aspects of oncological care have been affected with restrictions and delays: staging, tumor board, treatment selection, postoperative course, adjuvant treatments, outpatient care, and follow-up. Overall, 60% of respondents have prioritized pancreatic cancer patients according to stage, age, and comorbidities, and 40% opted not to operate high-risk patients. However, for 96% of participants, the standards of care were guaranteed. Discussion/Conclusions: The first wave of the COVID-19 pandemic had an important impact on pancreatic cancer surgery in central Europe. Guidelines for prompt interventions and prevention of the spread of viral infections in the surgical environment are needed to avoid a deterioration of care in cancer patients in the event of a second wave or a new pandemic. High-volume centers for pancreatic surgery should be preferred and their activity maintained. Virtual conferences have proven to be efficient during this pandemic and should be implemented in the near future.

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Revision shoulder arthroplasty including bony deficiency

Operative Techniques in Orthopaedics ◽

10.1053/otor.2002.34442 ◽

2002 ◽

Vol 12 (1) ◽

pp. 50-58

Author(s):

John M. Itamura ◽

Stamatios A. Papadakis ◽

Nikolaos T. Roidis

Keyword(s):

Shoulder Arthroplasty ◽

Revision Shoulder Arthroplasty

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Analysis of Big Data Analytics in Healthcare Sector: Applications and Tools

Journal of Computational and Theoretical Nanoscience ◽

10.1166/jctn.2020.9459 ◽

2020 ◽

Vol 17 (12) ◽

pp. 5605-5612

Author(s):

A. Kaliappan ◽

D. Chitra

Keyword(s):

Big Data ◽

Data Analytics ◽

Health Sector ◽

Big Data Analytics ◽

High Volume ◽

Healthcare Sector ◽

Genome Database ◽

Tremendous Amount ◽

The Impact ◽

Different Sources

In today’s world, an immense measure of information in the form of unstructured, semi-structured and unstructured is generated by different sources all over the world in a tremendous amount. Big data is the termed coined to address these enormous amounts of data. One of the major challenges in the health sector is handling a high-volume variety of data generated from diverse sources and utilizing it for the wellbeing of human. Big data analytics is one of technique designed to operate with monstrous measures of information. The impact of big data in healthcare field and utilization of Hadoop system tools for supervising the big data are deliberated in this paper. The big data analytics role and its theoretical and conceptual architecture include the gathering of diverse information’s such as electronic health records, genome database and clinical decisions support systems, text representation in health care industry is investigated in this paper.

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