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Emerging IoT Applications
Published in Ambikapathy, R. Shobana, Logavani, Dharmasa, Reinvention of Health Applications with IoT, 2022
N. Vedanjali, Pappula Rajasri, Mahima Rajesh, V.R. Anishma, G. Kanimozhi
Dialysis and kidney transplant are the major treatments for kidney failure. Dialysis is outlined as the removal of excess water, solutes, and contaminants from a patient's blood whose kidneys do not perform these functions on their own. It is also called renal replacement therapy. The three different types of dialysis are haemodialysis, peritoneal dialysis, and continuous renal replacement therapy (CRRT).
Potential clinical value of catheters impregnated with antimicrobials for the prevention of infections associated with peritoneal dialysis
Published in Expert Review of Medical Devices, 2023
Hari Dukka, Maarten W. Taal, Roger Bayston
Patients who develop end-stage kidney disease (ESKD) need renal replacement therapy (RRT) to survive. RRT includes dialysis treatment and transplantation. Dialysis can be done in-center, which involves visits to hospital or a dialysis center, or at home. Peritoneal dialysis (PD) is a form of home dialysis, which has been in use since the 1950s. To enable PD, a catheter is inserted into the abdomen (pouch of Douglas), and dialysis fluid (containing electrolytes and glucose or an alternative osmotic substance) is infused into the peritoneal cavity. The peritoneum acts as a semi-permeable membrane and allows removal of toxic substances and excess water. There are several advantages of dialyzing at home, which include better quality of life compared to in-center hemodialysis (HD) [1]. PD also has an advantage of causing no hemodynamic compromise and better preservation of residual kidney function, which has been shown to improve patient survival [2]. PD is also relatively cost-effective due to lower staff costs and does not require large amounts of building space for delivery. Consequently, the PD patient population prevalence has been increasing considerably around the world [3]. Due to the COVID pandemic, there has been significant strain on health-care resources and in-center hemodialysis facilities, highlighting the benefits of home-based PD. There are currently estimated to be 369,000 ESKD patients receiving peritoneal dialysis worldwide, representing 11% of the global dialysis population [4].
Machine learning approach in mortality rate prediction for hemodialysis patients
Published in Computer Methods in Biomechanics and Biomedical Engineering, 2022
Nevena Radović, Vladimir Prelević, Milena Erceg, Tanja Antunović
Chronic kidney disease (CKD) is a worldwide public health problem. Cardiovascular diseases are the main cause of mortality and morbidity in CKD patients (Cozzolino et al. 2018). Globally, the number of patients with progression of CKD in the end-stage renal disease (ESRD) has significantly increased from approximately 10,000 in 1973 to 703,243 in 2015 (Obrador et al. 2016). The most important renal replacement therapy (RRT) modalities for ESRD patients are: hemodialysis (HD), peritoneal dialysis (PD), and renal transplantation (RT). Survival, morbidity, and quality of life are the main factors for the selection of the best RRT modality for a particular patient. ESRD patients are mostly treated with HD since the majority of them are contraindicated for other modalities of RRT (Duan et al. 2019).