Diabetic kidney disease: world wide difference of prevalence and risk factors

Diabetic kidney disease – which is defined by elevated urine albumin excretion or reduced glomerular filtration rate (GFR) or both – is a serious complication that occurs in 20% to 40% of all diabetics. In this review we try to highlight the prevalence of diabetic nephropathy which is not uncommon complication of diabetes all over the world. The prevalence of diabetes worldwide has extended epidemic magnitudes and is expected to affect more than 350 million people by the year 2035. There is marked racial/ethnic besides international difference in the epidemiology of diabetic kidney disease which could be explained by the differences in economic viability and governmental infrastructures. Approximately one-third of diabetic patients showed microalbuminuria after 15 years of disease duration and less than half develop real nephropathy. Diabetic kidney disease (DKD) is more frequent in African-Americans, Asian-Americans, and Native Americans. Progressive kidney disease is more frequent in Caucasians patients with type 1 than type 2 diabetes mellitus (DM), although its overall prevalence in the diabetic population is higher in patients with type 2 DM while this type of DM is more prevalent. Hyperglycemia is well known risk factor for in addition to other risk factors like male sex, obesity, hypertension, chronic inflammation, resistance to insulin, hypovitaminosis D, and dyslipidemia and some genetic loci and polymorphisms in specific genes. Management of its modifiable risk factors might help in reducing its incidence in the nearby future

Late acute antibody mediated rejection after nine years of renal transplantation

Acute Antibody Mediated Rejection (AMR) is rarely reported as a long-term com-plication of renal transplantation, and it can present on top of another chronic pathology affecting the graft. A 45-year-old gentleman with chronic kidney disease due to unknown etiology received renal transplantation from his sister with 4 HLA mismatches. He received antithymocte globulin induction therapy and was maintained on steroids, azathioprine (AZA) and cyclosporine A (CsA). Up to eight years post-transplantation he was clinically and biochemically stable. He lost follow-up for about one year, and then presented with nephritic nephrotic syndrome and rise of serum creatinine (SCr.) to 210 μmol/L. Graft biopsy revealed picture suggestive of acute AMR on top of de novo membranoprolipherative glomerulonephritis (MPGN) with focal crescent formation, diffuse immune complex deposition and peri-tubular capillaries C4d positivity. Anti-HLA donor specific antibodies were highly positive for B and T cells class I and class II. The patient was treated with intravenous immunoglobulin, plasma exchange and anti-CD20 (rituximab). AZA was changed to mycophenolate mofetil and CsA to tacrolimus. He had partial response, but SCr. continued at 220 μmol/L

Determinants, predictors and negative impacts of burnout among health care workers during COVID-19 pandemic

The first defense line of the battle, healthcare workers (HCWs), faces a significant challenge in managing the current COVID-19 pandemic. An online electronic survey was sent to HCWs via email and social media networks. Socio-demographic data and work environment-related variables were assessed. Consequences of burnout (BO) were reported, e.g., elicited medical errors. Maslach burnout inventory was used to diagnose BO. Two hundred and eighty-four participants were included with a mean age of 39.83 ± 7.34 years, 70.8% worked in the COVID-19 frontline, 91.9% were followed daily updates about COVID-19, 63.7% were not satisfied with the coordination between triage and isolation, 64.4% got COVID-19 infection, 91.9% had a colleague or family member developed COVID-19 infection, and 21.5% experienced a colleague /a family member died due to COVID-19. Multivariate analysis by linear regression revealed that; working as a frontline HCW (OR 1.28, CI = 0.14–2.55) and sleep deprivation (OR 3.93, CI = 1.88–8.22) were the predictors of burnout