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Background The coronavirus (COVID-19) pandemic required a transformation of medical education in Egypt. Public health measures necessitated a rapid shift from traditional face to face lectures to largely online platforms following campus closures. The aim of this study is to characterize medical student use and perception of online medical education in Egypt as well as exploring the efficacy of different e-learning modalities. Additionally, many barriers and opportunities as perceived by students are reviewed to inform future educational improvements. Methods A 29-item online survey was created on google forms and distributed by social media to medical students across 26 Egyptian medical schools. The survey was administered from August 20th, 2021, to September 5th, 2021. The survey consisted of a mixture of questions style. The medical students were asked about their experiences with online medical education during the COVID-19 pandemic as well as medical students’ anxiety, perceived academic performance, and obstacles related to online education. Results Of the 4935 responses collected, 43.4% (n = 2140) of respondents were women; 56.6% (n = 2795) were men. Medical students from private medical schools were 13.0% (n = 644), whereas 87.0% (n = 4291) were from public medical schools. 54.6% of students reported that online education is not as effective as face-to-face education. There was a significant rise in hours spent by medical students on online medical education compared to before COVID-19 pandemic. More than half of students (63%) agreed that online recorded video tutorials (e.g., YouTube) were the most effective form of online medical education. Conclusion The shift to online education has significantly impacted medical students in Egypt. Medical students reported various limitations and challenges of online medical education, which must be addressed considering the potential benefits of online platforms over traditional face to face learning. The results of this nationwide study provide a framework for potential areas to implement change to improve the accessibility and structure of online medical education in Egypt.

Chronic kidney disease and hemodialysis are well known risk factors for tendon rupture, although this is a rare situation. The present case was a 70-year old male who presented with a sudden onset of painful disability in the left posterior ankle. This occurred while he was climbing the stairs. A physical examination and imaging resulted in a diagnosis of Achilles tendon rupture. The patient had received regular haemodialysis for 12years. He developed secondary hyperparathyroidism as excepted sequelae of end stage renal disease. Following surgical repair, physiotherapy and management of associated risk factors, the patient regained full active mobility.

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A patient registry is the collection of uniform data (clinical and others) to evaluate specified outcomes for a population defined by a particular disease or therapy (target disease or therapy) and that serves one or more predetermined scientific, clinical, or policy purposes. Our aim is to establish a renal database for hemodialysis patients (as a first step) that would help in providing the optimal health care to improve quality of life and prolong survival. Egyptian renal data system (ERDS) was established out of the firm belief that delivering a clear picture of the incidence, prevalence, and outcomes of hemodialysis-related problems in Egypt is the needed action to identify the real magnitude of the problem. ERDS is the Egyptian national registry of nephrology patients. It was founded and is run by the Egyptian Society of Nephrology and Transplantation (ESNT), the only official Egyptian Non-Governmental Organization representing nephrologists and officially managing some issues of the nephrology specialty in Egypt. ERDS until now registers data about patients with End stage kidney disease (ESKD) on chronic hemodialysis, but the plan is to include more patient groups in the future. Two types of data were collected; data about the dialysis units as a whole and data specific to each patient. Data entered by all units were exported from the digital system as a.csv file that can be opened by Microsoft Excel. Data analysis was carried out by Microsoft Excel functions and Microsoft Power Business Intelligence. Results were represented by different sectors.