ICT industry and resources based analysis of maintenance SME in the Central Europe

Highly competitive situation in Information and Communication technology (ICT) maintenance industry requires a precise analysis of all important factors and carefully defined company strategy which addresses each of these aspects. This paper presents a resource based analysis of family run SME, operating in IT parts and consumables market. In order to understand this complex view, it first describes the company background. It briefly presents the industry key success factors and company strategy of the SME. The value chain analysis helps to name the main organization’s capabilities and evaluates them in terms of costs and customer willingness to pay. Resource audit provides an analysis of key company tangible, intangible and human resources. The outcome of this audit shows that most of SME resources are of an intangible nature. Contrary to the higher mobility of today’s resources, intangible resources of SME such as company reputation, culture and strategic business relations, are mostly immobile and inimitable. Based on the audit all key resources and capabilities are appraised by their strength and importance relative to closest rivals. Results are presented in graph which recognizes the key strengths (family run business related) and weaknesses (IT and finance). The results of the resourced based analysis lead to recommendations for changes in order to create and retain competitive advantage.ICT, resource based analysis, resources, capabilities, strategy, SME, Institutional and Behavioral Economics, Research and Development/Tech Change/Emerging Technologies, Research Methods/ Statistical Methods, Resource /Energy Economics and Policy, GA, IN,

Capacity for the management of kidney failure in the International Society of Nephrology Eastern and Central Europe region:Report from the 2023 ISN Global Kidney Health Atlas (ISN-GKHA)

Delivery of care for kidney failure (KF) globally has a significant disparity; even in some countries, it means end-of-life for the person. The International Society of Nephrology Global Kidney Health Atlas (ISN-GKHA) tries to address gaps in KF care and standardize global nephrology care. From the third iteration of the ISN-GKHA, we present data for countries in the ISN Eastern and Central Europe region. The median prevalences of chronic kidney disease (12.8%) and treated KF (873.5 pmp) were higher than the global rates, respectively. Hemodialysis was the most preferred modality for KF in adults, whereas kidney replacement therapy was more balanced in children. Although most of the countries in the region had lower-middle-income and upper-middle-income levels, health expenditures for kidney healthcare were almost generally covered publicly. Nephrologists were responsible for the medical kidney care of people with KF in all countries. There was adequate infrastructure to provide all kinds of treatment for kidney care in the region. Regional characteristics such as high levels of obesity, smoking, and Balkan nephropathy as an endemic disease, coupled with a shortage of workforce and finance, continued to affect kidney care in the region negatively. By making organizational and legislative arrangements, partnerships with national authorities and societies may accelerate the improvement of kidney healthcare in the region

COVID-19 and ANCA-associated vasculitis: recommendations for vaccine preparedness and the use of rituximab.

COVID-19 and ANCA-associated vasculitis - recommendations for vaccine preparedness and the use of rituximab

Comparisons of Guidelines and Recommendations on Managing Antineutrophil Cytoplasmic Antibody-Associated Vasculitis.

Antineutrophil cytoplasmic antibodies-associated vasculitis (AAV) is associated with high morbidity or mortality, especially if not promptly diagnosed and treated. Many inroads have been made in the understanding of the pathophysiology that leads to exploration of novel therapies. Randomized controlled trials over the last 2 decades have better delineated and expanded therapeutic options and set the stage for an evidence-based approach. Since 2014, 4 scientific societies have systematically reviewed the existing data and have formulated evidence-based recommendations for the management of AAV. These recommendations cover diagnosis, remission induction and maintenance treatment, and prevention of long-term complications. This review is a comparative analysis of the recently published recommendations of the European League Against Rheumatism/European Renal Association-European Dialysis and Transplant Association, the British Society of Rheumatology, the Canadian Vasculitis Research Network, and the Brazilian Society of Rheumatology, and aims to determine common ground among them and highlights the differences among the recommendations

Inequities in kidney health and kidney care

Acknowledgements The European Kidney Health Alliance (EKHA) is a not-for-profit organization defending the case of the kidney patients and the nephrological community at the level of the European Commission. The EKHA network has five full members (the European Renal Association, the International Society of Nephrology, the European Kidney Patients Federation, the European Dialysis and Transplant Nurses Association-European Renal Care Association and the Dutch Kidney Foundation) next to 27 National or Regional Societies as affiliated members. European Kidney Health Alliance is the recipient of support by the European Union in the context of the Annual Work Program 2022 on prevention of non communicable diseases of EU4Health, topic ID EU4H-2022-PJ02, project #Peer reviewedPostprin

High prevalence of anti-C1q antibodies in biopsy-proven active lupus nephritis

Background. Anti-C1q antibodies (anti-C1q) have been shown to correlate positively with systemic lupus erythematosus (SLE) nephritis. Several clinical studies indicated a high negative predictive value, suggesting that active lupus nephritis is rarely seen in patients with no anti-C1q. However, the true prevalence of anti-C1q at the time of active lupus nephritis has not been well established. The aim of this study was to determine prospectively the prevalence of anti-C1q in proven active lupus nephritis at the time of the renal biopsy. Methods. In this prospective multi-centre study, we investigated adult SLE patients undergoing renal biopsy for suspected active lupus nephritis. Serum samples were taken at the time of the biopsy and analysed for the presence of anti-C1q in a standardized way. The activity of lupus nephritis was classified according to the renal histology. Biopsies were also analysed for the presence of glomerular IgG, C1q and C3 deposition. Results. A total of 38 patients fulfilling at least 4/11 American College of Rheumatology (ACR) criteria for the diagnosis of SLE were included. Out of this, 36 patients had proliferative (class II, III or IV) and two had class V lupus nephritis. All but one patient with proliferative lupus nephritis were positive for anti-C1q (97.2%) compared with the 35% of control SLE patients with inactive lupus nephritis and 25% of SLE patients without lupus nephritis ever. All patients were positive for glomerular C1q (36/36) and 37/38 patients had glomerular IgG deposits. Anti-C1q strongly decreased during successful treatment. Conclusions. Anti-C1q have a very high prevalence in biopsy-proven active lupus nephritis, thus a negative test result almost excludes active nephritis. The data support the hypothesis of a pathogenic role of anti-C1q in lupus nephriti

Inequities in kidney health and kidney care

Health inequity refers to the existence of unnecessary and unfair differences in the ability of an individual or community to achieve optimal health and access appropriate care. Kidney diseases, including acute kidney injury and chronic kidney disease, are the epitome of health inequity. Kidney disease risk and outcomes are strongly associated with inequities that occur across the entire clinical course of disease. Insufficient investment across the spectrum of kidney health and kidney care is a fundamental source of inequity. In addition, social and structural inequities, including inequities in access to primary health care, education and preventative strategies, are major risk factors for, and contribute to, poorer outcomes for individuals living with kidney diseases. Access to affordable kidney care is also highly inequitable, resulting in financial hardship and catastrophic health expenditure for the most vulnerable. Solutions to these injustices require leadership and political will. The nephrology community has an important role in advocacy and in identifying and implementing solutions to dismantle inequities that affect kidney health

Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT)

Although clinical applications represent the next challenge in single-cell genomics and digital pathology, we still lack computational methods to analyze single-cell or pathomics data to find sample-level trajectories or clusters associated with diseases. This remains challenging as single-cell/pathomics data are multi-scale, i.e., a sample is represented by clusters of cells/structures, and samples cannot be easily compared with each other. Here we propose PatIent Level analysis with Optimal Transport (PILOT). PILOT uses optimal transport to compute the Wasserstein distance between two individual single-cell samples. This allows us to perform unsupervised analysis at the sample level and uncover trajectories or cellular clusters associated with disease progression. We evaluate PILOT and competing approaches in single-cell genomics or pathomics studies involving various human diseases with up to 600 samples/patients and millions of cells or tissue structures. Our results demonstrate that PILOT detects disease-associated samples from large and complex single-cell or pathomics data. Moreover, PILOT provides a statistical approach to find changes in cell populations, gene expression, and tissue structures related to the trajectories or clusters supporting interpretation of predictions.</p

Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT)

Although clinical applications represent the next challenge in single-cell genomics and digital pathology, we still lack computational methods to analyze single-cell or pathomics data to find sample-level trajectories or clusters associated with diseases. This remains challenging as single-cell/pathomics data are multi-scale, i.e., a sample is represented by clusters of cells/structures, and samples cannot be easily compared with each other. Here we propose PatIent Level analysis with Optimal Transport (PILOT). PILOT uses optimal transport to compute the Wasserstein distance between two individual single-cell samples. This allows us to perform unsupervised analysis at the sample level and uncover trajectories or cellular clusters associated with disease progression. We evaluate PILOT and competing approaches in single-cell genomics or pathomics studies involving various human diseases with up to 600 samples/patients and millions of cells or tissue structures. Our results demonstrate that PILOT detects disease-associated samples from large and complex single-cell or pathomics data. Moreover, PILOT provides a statistical approach to find changes in cell populations, gene expression, and tissue structures related to the trajectories or clusters supporting interpretation of predictions.</p