Connectivity Strategies in Managing a POCT Service.

Point of Care Testing is increasingly being used for diagnosis and management of various disease states. Management of different Point of Care instruments at multiple sites can be challenging, particularly when such instruments are operated by non technical staff. Connectivity is critical for optimal management of these services which are intimately linked to operator training and competency and are important in minimising harm to the patient by reducing analytical errors. Furthermore, connectivity improves turn around time leading to faster decision making by physicians. Recent advances in technology such as 5G and artificial intelligence are likely to lead to a greater focus on personalized care as a result of big data analysis and development of algorithms.

Evaluation of Protein Profiling in a Cohort of Egyptian Population with Renal Cell Carcinoma and Benign Kidney Neoplasms.

Abdominal imaging leads to the detection of a large number of renal tumors without the ability to distinguish the type of tumor detected. It is necessary to find a precise way to know the type of tumor to determine the appropriate treatment. The use of urine samples for detecting new biomarkers especially proteins has a great potential. In this work we assessed the proteomic profiling difference in a cohort of Egyptian population with renal neoplasms. Methods: This cohort study was conducted on 85 subjects. They were classified as 40 RCC, 15 benign kidney patients, and 30 healthy controls. Morning urine samples were used for peptidome separation using magnetic beads. Matrix assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) was applied Using FlexControlTM software. Results: Benign tumors were differentiated from controls by 5 integrated peaks, 12 significant and 2 integrated significant peaks, 17:3,418.8 and 25:4,173.41. While RCC were differentiated from benign by 5 integrated, 28 significant and one integrated significant peak. The RCC group was discriminated from the controls by 5 peaks which were integrated from which 1 was integrated and significant (with mass to charge ratio of 12:3,408.97). The three groups showed protein profiles ranging from 1 to 10 kDa. The external validation was performed for the RCC group versus the control reveled sensitivity of 88.7% and specificity of 73.2% by genetic algorithm. Conclusion: Proteomic approach can be used as a sensitive urinary marker differentiating renal masses in an early diagnostic approach.

Comparison between Sigma metrics in four accredited Egyptian medical laboratories in some biochemical tests: an initiative towards sigma calculation harmonization.

INTRODUCTION: Analytical quality is an essential requirement for best practice in any medical laboratory. Lack of a harmonized approach for sigma calculation is considered an obstacle in the objective comparability of analytical performance among laboratories adopting sigma metrics. It is urgently needed that all laboratory professionals interested in the analytical quality to work hard towards harmonization protocol for sigma calculation in order to properly select their analytical goals. This study aims at harmonization of Sigma metrics calculation in four accredited Egyptian laboratories. MATERIALS AND METHODS: This observational cross sectional study compared the sigma levels for certain biochemical parameters in the four participating laboratories. RESULTS: Coefficient of variation (CV) and bias were determined for some biochemical analytes, data assayed by different automated analysers in the four different accredited laboratories. The sigma level for the four medical laboratories was calculated for each biomedical parameter with changed sigma level after total allowable error (Tea) unification among participating laboratories. CONCLUSION: Each laboratory should select the TEa goal based on clear standardized criteria of selection without any subjective preferences as either under or over estimation of Sigma metrics will affect the patient centred care negatively if laboratories use quality control procedures wrongly based on incorrect Sigma metrics calculation with subsequent misleading medical decisions.

An intervention significantly improve medical waste handling and management: A consequence of raising knowledge and practical skills of health care workers.

OBJECTIVE: Health-care waste has not attended much attention in developing countries. Staff is involved in cleaning and collect waste may often be at greater risk due to their less education and training. The current intervention study was conducted to improve knowledge and practice skills for medical waste handlers in some selected hospitals of Alexandria, Egypt. METHODS: An intervention study was conducted on medical waste handlers from some selected hospitals who accepted to participate in the study in the period of May 2015 to June 2016. A predesigned questionnaire was developed to measure knowledge, skills, and practice on medical waste management pre- and post-intervention. RESULTS: Analysis of pre-intervention data revealed that 9.6%, 80.8%, and 9.6% of participants had high, moderate, and low knowledge levels, respectively. Whereas post-intervention, data revealed that 97.3%, 2.2%, and 0.5% of workers had high, moderate, and low knowledge levels, respectively. A significant increase in knowledge after the intervention was detected among all knowledge items except in four items which were related to the necessity to segregate medical waste, knowledge of color coding system for segregation, disposal of general waste in black bags and disposal of infectious waste in red bags. Regarding practice of waste handlers, 80% were in poor practice category pre-training and changed to 0.8% post-training; 1.1% were in good practice category and increased to 92.1% post-training. CONCLUSION: The current findings emphasize the role of educative skill-raising training in enhancing knowledge and practice skills of medical waste handlers.