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Machine learning to predict end stage kidney disease in chronic kidney disease
The purpose of this study was to assess the feasibility of machine learning (ML) in predicting the risk of end-stage kidney disease (ESKD) from patients with chronic kidney disease (CKD). Data were obtained from a longitudinal CKD cohort.
Qiong Bai, Chunyan Su, Wen Tang, Yike Li
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FABRY DISEASE PRESENTING AS END-STAGE KIDNEY DISEASE [PDF]
Fabry Disease is an X-linked disorder due to a pathogenic variant of the GLA gene that codes for the alpha-galctosidase enzyme. The reduced or absent activity of the enzyme results in lysosomal accumulation of globotriosylceramide, and its derivative ...
Madeleine V. Pahl, Jean Hou
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Background: It is well-known that patients with chronic kidney disease and end-stage renal disease are at increased risk of pulmonary embolism than patients with normal kidney function.
Jagmeet Singh +8 more
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Risk of End-Stage Kidney Disease and Topiramate Use [PDF]
Introduction: Topiramate is widely used for migraine prevention but has pleiotropic effects on renal sodium reabsorption and inflammation. Whether these effects could be associated with lower risk of end-stage kidney disease (ESKD) and cardiovascular ...
Jean-Michel Halimi +6 more
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Pediatric Kidney Transplantation [PDF]
Pediatric kidney transplantation is the best option since it can achieve near normal glomerular filtration rate, adequate fluid balance, and autonomic endocrine function of the kidney in end-stage kidney disease. However, pediatric kidney transplantation
Yeon Hee Lee, Hee Gyung Kang
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Two category 5 hurricanes, Irma and Maria, arrived in the Caribbean in September 2017 in rapid succession. On September 6, Irma devastated the islands of St. Thomas and St. John, in the Virgin Islands of the United States (USVI).
Guillermo J. Avilés Mendoza +9 more
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Kidney Supportive Care in Peritoneal Dialysis: Developing a Person-Centered Kidney Disease Care Plan
Individuals receiving peritoneal dialysis (PD)—similar to those receiving hemodialysis —may experience high mortality coupled with a high symptom burden and reduced health-related quality of life. In this context, a discussion of the risks, benefits, and
Emily Lu, Emily Chai
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Machine learning models to predict end-stage kidney disease in chronic kidney disease stage 4
Introduction End-stage kidney disease (ESKD) is associated with increased morbidity and mortality. Identifying patients with stage 4 CKD (CKD4) at risk of rapid progression to ESKD remains challenging.
Kullaya Takkavatakarn +4 more
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A five-year longitudinal study of the relation between end-stage kidney disease as the outcomes
Background Patients with end-stage kidney disease (ESKD) are required to undergo consecutive time-based blood and biochemical tests to determine the progression of the disease according to changes in their blood and biochemical data.
Hsiu-Lan Li +3 more
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Diffuse calcification of a nonfunctioning kidney allograft
Diffuse calcification of nonfunctioning kidney graft may rarely occur in clinical practice, and it is generally benign and does not require transplant removal in most cases.
Gabriel Ștefan +3 more
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