Hyporesponsiveness to Erythropoiesis-Stimulating Agents in Dialysis-Dependent Patients with Anaemia of Chronic Kidney Disease: A Retrospective Observational Study.

Introduction: Hyporesponsiveness to erythropoiesis-stimulating agents (ESAs) in patients with anaemia of chronic kidney disease may lead to increased ESA doses to achieve target haemoglobin levels; however, elevated doses may be associated with increased mortality. Furthermore, patients with hyporesponsiveness to ESAs have poorer clinical outcomes than those who respond well to ESAs. Incidence and clinical characteristics of patients with ESA hyporesponsiveness were explored in a real-world setting.

Usage of the Anemia Control Model Is Associated with Reduced Hospitalization Risk in Hemodialysis.

Introduction: The management of anemia in chronic kidney disease (CKD-An) presents significant challenges for nephrologists due to variable responsiveness to erythropoietin-stimulating agents (ESAs), hemoglobin (Hb) cycling, and multiple clinical factors affecting erythropoiesis. The Anemia Control Model (ACM) is a decision support system designed to personalize anemia treatment, which has shown improvements in achieving Hb targets, reducing ESA doses, and maintaining Hb stability. This study aimed to evaluate the association between ACM-guided anemia management with hospitalizations and survival in a large cohort of hemodialysis patients.

The Use of Anemia Control Model Is Associated with Improved Hemoglobin Target Achievement, Lower Rates of Inappropriate Erythropoietin Stimulating Agents, and Severe Anemia among Dialysis Patients.

Introduction: The Anemia Control Model (ACM) is a certified medical device suggesting the optimal ESA and iron dosage for patients on hemodialysis. We sought to assess the effectiveness and safety of ACM in a large cohort of hemodialysis patients.

Methods: This is a retrospective study of dialysis patients treated in NephroCare centers between June 1, 2013 and December 31, 2019.

Studying the morphology, composition and function of the photoreceptor primary cilium in zebrafish.

Vision is one of our dominant senses and its loss has a profound impact on the life quality of affected individuals. Highly specialized neurons in the retina called photoreceptors convert photons into neuronal responses. This conversion of photons is mediated by light sensitive opsin proteins, which are found in the outer segments of the photoreceptors.

Development and Validation of a Machine Learning Model Predicting Arteriovenous Fistula Failure in a Large Network of Dialysis Clinics.

Vascular access surveillance of dialysis patients is a challenging task for clinicians. We derived and validated an arteriovenous fistula failure model (AVF-FM) based on machine learning. The AVF-FM is an XG-Boost algorithm aimed at predicting AVF failure within three months among in-centre dialysis patients.