Publications by authors named "T Krummel"
Patients with chronic kidney disease (CKD) on dialysis have a higher mortality rate associated with SARS-CoV-2 infection. Although vaccines are now available, the protective response rates and determinants of humoral response to the vaccine are poorly described in patients on peritoneal dialysis. This was a prospective observational study describing the response rates of detectable and standardized protective antibody titers one month after each mRNA vaccine dose in a cohort of 88 patients on peritoneal dialysis.
View Article and Find Full Text PDFBackground: Establishing the optimal timing for creating vascular access in patients with chronic kidney disease (CKD) is a critical and challenging aspect of patient management. The Kidney Disease: Improving Global Outcomes guidelines propose using a 40% 2-year threshold based on the Kidney Failure Risk Equation (KFRE) for this purpose. However, the effectiveness of this threshold compared with traditional methods, such as estimated glomerular filtration rate (eGFR), is not well-established.
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- Apheresis is a medical procedure used to quickly remove harmful antibodies in diseases like anti-GBM and severe ANCA-associated vasculitis, and the CINEVAS study compared two methods: immunoadsorption (IA) and plasma exchange (PEx).
- The study analyzed results from 38 patients and found that both IA and PEx effectively reduced autoantibody levels similarly, with 98% reduction for IA and 96% for PEx after seven sessions.
- While IA showed a greater reduction in total IgG and better preservation of IgA and IgM, the volume of plasma used and session lengths differed between the techniques, but overall, their effectiveness in removing antibodies was comparable.
Background: In recent years, a number of predictive models have appeared to predict the risk of medium-term mortality in hemodialysis patients, but only one, limited to patients aged over 70 years, has undergone sufficiently powerful external validation. Recently, using a national learning database and an innovative approach based on Bayesian networks and 14 carefully selected predictors, we have developed a clinical prediction tool to predict all-cause mortality at 2 years in all incident hemodialysis patients. In order to generalize the results of this tool and propose its use in routine clinical practice, we carried out an external validation using an independent external validation database.
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