An Analysis of Elderly End-stage Chronic Kidney Disease Patients Who Did Not Undergo Renal Replacement Therapy in Japan

2015 ◽  
Vol 8 ◽  
pp. 1-6
Keyword(s):  
Chronic Kidney Disease ◽  
Renal Replacement Therapy ◽  
Kidney Disease ◽  
Replacement Therapy ◽  
End Stage

scholarly journals The renal replacement therapy landscape in 2030: reducing the global cardiovascular burden in dialysis patients

2020 ◽  
Vol 35 (Supplement_2) ◽  
pp. ii51-ii57 ◽  
Author(s):  
Bernard Canaud ◽  
Allan Collins ◽  
Frank Maddux
Keyword(s):  
Chronic Kidney Disease ◽  
Renal Replacement Therapy ◽  
Kidney Disease ◽  
Replacement Therapy ◽  
Advanced Technology ◽  
Cardiovascular Risks ◽  
Dialysis Patients ◽  
Medical Needs ◽  
End Stage ◽  
New Strategies

Abstract Despite the significant progress made in understanding chronic kidney disease and uraemic pathophysiology, use of advanced technology and implementation of new strategies in renal replacement therapy, the clinical outcomes of chronic kidney disease 5 dialysis patients remain suboptimal. Considering residual suboptimal medical needs of short intermittent dialysis, it is our medical duty to revisit standards of dialysis practice and propose new therapeutic options for improving the overall effectiveness of dialysis sessions and reduce the burden of stress induced by the therapy. Several themes arise to address the modifiable components of the therapy that are aimed at mitigating some of the cardiovascular risks in patients with end-stage kidney disease. Among them, five are of utmost importance and include: (i) enhancement of treatment efficiency and continuous monitoring of dialysis performances; (ii) prevention of dialysis-induced stress; (iii) precise handling of sodium and fluid balance; (iv) moving towards heparin-free dialysis; and (v) customizing electrolyte prescriptions. In summary, haemodialysis treatment in 2030 will be substantially more personalized to the patient, with a clear focus on cardioprotection, volume management, arrhythmia surveillance, avoidance of anticoagulation and the development of more dynamic systems to align the fluid and electrolyte needs of the patient on the day of the treatment to their particular circumstances.

Global Aspects of Chronic Kidney Disease

2019 ◽  
Author(s):  
Gopesh K Modi ◽  
Vivekanand Jha
Keyword(s):  
Chronic Kidney Disease ◽  
Renal Replacement Therapy ◽  
Kidney Disease ◽  
Replacement Therapy ◽  
Kidney Injury ◽  
Noncommunicable Diseases ◽  
Health Coverage ◽  
Disease Epidemiology ◽  
Number Of Patients ◽  
End Stage

Chronic kidney disease has a high prevalence and a high mortality rate worldwide. Although diabetes and hypertension are common, unique causes of kidney disease may occur driven by infections, exposures, or genetic susceptibilities. Certain agricultural areas in particular have a high incidence of tubulointerstitial kidney disease of unclear etiology. Risk factors may include heat stress, pesticides, heavy metals, and other environmental toxins. Furthermore, countries have disproportionately different prevalence of renal replacement therapy, which seems to correlate in part to the type of health coverage. The future challenges for the nephrology community worldwide will be dealing with the growing number of patients with end-stage kidney disease, the fragmented healthcare in some countries, shortage of kidney transplantation programs, and deficient registries to appropriately assess the prevalence of kidney disease. This review contains 4 figures, 3 tables, and 54 references. Key Words: acute kidney injury, chronic kidney disease, end-stage renal disease, epidemiology, ethnic background, HIV-associated nephropathy, noncommunicable diseases, renal replacement therapy, screening, socioeconomic status

scholarly journals Morbidity, mortality, and renal replacement therapy for chronic kidney disease in Mexico between 2016 and 2018

Nefrología ◽  
2021 ◽  
Author(s):  
Luis Alberto Dorantes-Carrillo ◽  
Martha Medina-Escobedo ◽  
Yaseth Aridai Cobá-Canto ◽  
Alberto Alvarez-Baeza ◽  
Nina Méndez Domínguez
Keyword(s):  
Chronic Kidney Disease ◽  
Renal Replacement Therapy ◽  
Kidney Disease ◽  
Replacement Therapy

scholarly journals Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patients

PLoS ONE ◽  
2020 ◽  
Vol 15 (6) ◽  
pp. e0233976 ◽  
Author(s):  
Erik Dovgan ◽  
Anton Gradišek ◽  
Mitja Luštrek ◽  
Mohy Uddin ◽  
Aldilas Achmad Nursetyo ◽  
...  
Keyword(s):  
Machine Learning ◽  
Chronic Kidney Disease ◽  
Renal Replacement Therapy ◽  
Kidney Disease ◽  
Replacement Therapy ◽  
Learning Models ◽  
Machine Learning Models
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