End Stage Renal Disease

Deep Learning-Based Nuclear Lobe Count Method for Differential Count of Neutrophils.

Differentiating neutrophils based on the count of nuclear lobulation is useful for diagnosing various hematological disorders, including megaloblastic anemia, myelodysplastic syndrome, and sepsis. It has been reported that one-fifth of sepsis-infected patients worldwide died between 1990 and 2017. Notably, fewer nuclear-lobed and stab-formed neutrophils develop in the peripheral blood during sepsi...

Applications of deep learning to the assessment of red blood cell deformability.

BACKGROUND: Measurement of abnormal Red Blood Cell (RBC) deformability is a main indicator of Sickle Cell Anemia (SCA) and requires standardized quantification methods. Ektacytometry is commonly used to estimate the fraction of Sickled Cells (SCs) by measuring the deformability of RBCs from laser diffraction patterns under varying shear stress. In addition to estimations from model comparisons, us...

Effect of Ramadan Fasting on Chronic Inflammation and Body Composition in Patients with Chronic Kidney Disease.

Chronic kidney disease (CKD) is associated with a state of chronic inflammation which is responsible for many of the pathophysiological changes detect...

End-stage renal disease at dialysis initiation: Epidemiology and mortality risks during the first year of hemodialysis.

Chronic kidney disease (CKD) treated by hemodialysis (HD) is a worldwide major public health problem. Its incidence is getting higher and higher, lead...

Surgical management of secondary hyperparathyroidism in dialysis patients in Senegal.

Secondary hyperparathyroidism (SHPT) is a common complication of end-stage renal disease. Surgical management occurs in severe forms and/or unresponsi...

Bariatric surgery and hemodialysis: A case report of a patient with less 40 kilograms and without dialysis.

Obesity is an important risk factor for chronic kidney disease. Bariatric surgery (BS) may improve long-term kidney outcomes, but there is no agreemen...

Effect of Genetic Polymorphisms on the Pharmacokinetics of Deferasirox in Healthy Chinese Subjects and an Artificial Neural Networks Model for Pharmacokinetic Prediction.

BACKGROUND AND OBJECTIVE: Deferasirox is an oral iron chelator used to reduce iron levels in iron-overloaded patients with transfusion-dependent anemi...

A Case of Dapsone-induced Mild Methemoglobinemia with Dyspnea and Cyanosis.

Dear Editor, Dapsone is a dual-function drug with antimicrobial and antiprotozoal effects and anti-inflammatory features (1). In dermatology, it is a ...

Automatic Extraction of Risk Factors for Dialysis Patients from Clinical Notes Using Natural Language Processing Techniques.

Studies have shown that mental health and comorbidities such as dementia, diabetes and cardiovascular diseases are risk factors for dialysis patients....

Machine learning in nephrology: scratching the surface.

Machine learning shows enormous potential in facilitating decision-making regarding kidney diseases. With the development of data preservation and pro...

Wearable health devices and personal area networks: can they improve outcomes in haemodialysis patients?

Digitization of healthcare will be a major innovation driver in the coming decade. Also, enabled by technological advancements and electronics miniatu...

Considerations for advancing nephrology research and practice through natural language processing.

Much of medical data is buried in the free text of clinical notes and not captured by structured data, such as administrative codes. Natural language ...

Postoperative changes of the free pericardial fat pad for bronchial stump coverage.

BACKGROUND: Bronchopleural fistula (BPF) remains a serious complication after surgery for lung cancer with bronchial resection. A free pericardial fat...

Graft Rejection Prediction Following Kidney Transplantation Using Machine Learning Techniques: A Systematic Review and Meta-Analysis.

Kidney transplantation is recommended for patients with End-Stage Renal Disease (ESRD). However, complications, such as graft rejection are hard to pr...

Prediction of Clinical Events in Hemodialysis Patients Using an Artificial Neural Network.

Advanced chronic kidney disease (CKD) requires routine renal replacement therapy (RRT) that involves hemodialysis (HD) which may cause increased risk ...

[Application of recurrent neural network in prognosis of peritoneal dialysis].

OBJECTIVE: Deep learning models, including recurrent neural network (RNN) and gated recurrent unit (GRU), were used to construct the clinical prognost...

Primary Hyperparathyroidism Manifesting with Severe Hypercalcemia in a Nonagenarian Man: Pitfall of Common Imaging Techniques, Localization by 18F-Choline Positron Emission Tomography/Computed Tomography and Successful Management with Calcimimetics.

A nonagenarian hypertensive man with chronic kidney disease (CKD) was admitted to the emergency department for gastrointestinal symptoms and worsening...

Hematological disturbances in Down syndrome: single centre experience of thirteen years and review of the literature.

Karakurt N, Uslu İ, Aygün C, Albayrak C. Hematological disturbances in Down syndrome: single centre experience of thirteen years and review of the lit...

Robotic Repair of Supratrigonal Vesicovaginal Fistula with Sigmoid Epiploica Interposition.

INTRODUCTION AND HYPOTHESIS: In the United States, vesicovaginal fistula (VVF) most often results from gynecologic surgery causing significant morbidi...

[The gender features of disorders of composition of lipids of blood serum in patients with chronic pathology of kidneys.].

The purpose of the study was to investigate gender features of abnormalities of blood serum lipid composition and their relationship with clinical and...