End Stage Renal Disease

Systematic review of risk prediction models for autogenous arteriovenous fistula dysfunction in maintenance hemodialysis patients.

OBJECTIVE: To systematically evaluate existing risk prediction models for autogenous arteriovenous fistula (AVF) dysfunction in maintenance hemodialysis (MHD) patients, in order to provide a reference for clinical practice. MATERIALS AND METHODS: A systematic search was conducted in China National Knowledge Infrastructure (CNKI), Wanfang Data Knowledge Service Platform, VIP Chinese Science and Tec...

Transformer-Based Deep Learning Model for Predicting Hemoglobin Response to Mircera® in Hemodialysis Patients.

BACKGROUND: Anemia management in hemodialysis (HD) depends on individualized erythropoiesis-stimulating agent (ESA) dosing to achieve and maintain target hemoglobin (Hgb) levels. However, predicting individual Hgb responses remains a significant challenge due to nonlinear erythropoietic dynamics and patient heterogeneity. Here, we developed a machine learning-based approach to predict individual H...

Impact of an Artificial Intelligence-Powered Clinical Decision Support System for Acute Kidney Injury Prevention in the Intensive Care Unit: Single-Center Uncontrolled Before-and-After Implementation Study.

BACKGROUND: Acute kidney injury (AKI) is a frequent and serious complication among hospitalized patients, particularly in critical care settings, wher...

Association of C-reactive protein to albumin ratio with progression of CKD and all-cause mortality in diabetic CKD.

INTRODUCTION: The C-reactive protein to albumin ratio (CAR), an integrative biomarker of inflammation and malnutrition, has shown prognostic value in ...

Deep learning-based automatic identification model of main pancreatic duct in intraoperative ultrasonography.

BACKGROUND: Pancreatic enucleation (PE) preserves parenchyma in benign/low-grade malignant pancreatic tumors but risks postoperative pancreatic fistul...

An explainable machine learning model for predicting high phosphorus risk in patients on maintenance hemodialysis: a multicenter retrospective study.

BACKGROUND: Hyperphosphatemia is a common complication in hemodialysis and serves as a key marker for evaluating dialysis adequacy. This study aimed t...

Forecasting the Dialysis Burden in Japan: Validation-Based Projections of Prevalence and Incidence Through 2050.

BACKGROUND: Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a ...

Deep multi-modal features based spatio-temporal video regression for non-invasive hemoglobin estimation.

The hemoglobin concentration in blood is vital for diagnosing anemia and monitoring the various health conditions. However, conventional measurement m...

Preoperative Serum Alkaline Phosphatase Predicts Arteriovenous Fistula Maturation Failure.

INTRODUCTION: Arteriovenous fistula (AVF) maturation failure remains a major obstacle for hemodialysis, yet its underlying molecular drivers are poorl...

Artificial Intelligence in Hemodialysis: Current Clinical Applications and Future Perspectives.

INTRODUCTION: Timely adjustment of intervention strategies based on multidimensional hemodialysis data is essential for improving patients' quality of...

Machine learning-based risk assessment of neonatal perinatal adverse outcomes of anemia during pregnancy: a modeling study.

BACKGROUND: Gestational anemia significantly elevates the risk of adverse maternal and neonatal outcomes, necessitating early predictive tools for tar...

Integrative machine learning and CRISPR/Cas9 analysis reveals the role of APOE in lipid metabolism-associated kidney fibrosis.

Kidney fibrosis, characterized by excessive extracellular matrix deposition and progressive renal tissue remodeling, frequently culminates in End-stag...

Developing a machine learning model to predict renal function decline within three years using one-year longitudinal data in patients with type 2 diabetes.

AIMS: The increasing prevalence of type 2 diabetes mellitus (T2DM) has led to an increase in diabetic kidney disease (DKD), which is presently a major...

Analysis of end-stage renal disease mediated by cuproptosis-related genes.

OBJECTIVE: The complex pathophysiological mechanism of end-stage renal disease (ESRD) has not been fully understood. Cuproptosis is a newly discovered...

Systematic review and meta-analysis of the diagnostic test accuracy of artificial intelligence in predicting intradialytic hypotension in hemodialysis patients.

Intradialytic hypotension (IDH) is one of the most common complications of hemodialysis. In order to prevent IDH, Artificial intelligence (AI) was uti...

Impact of artificial intelligence intervention on awareness of anatomical landmarks in laparoscopic gastrectomy: An exploratory study.

BACKGROUND: We have developed gastric cancer/gastrectomy artificial intelligence (gAI) that leverages the tacit knowledge of experienced surgeons to v...

Bone Mineral Density Loss After Kidney Transplantation: Metabolic Determinants, Diagnostic Approaches, and Preventive Strategies.

Mineral and bone disease (MBD) is a frequent complication after solid organ transplantation. The rapid decline in bone mineral density (BMD) during th...

Detecting Adverse Events Following Acute Care Encounters among Veterans Prescribed Non-Steroidal Anti-Inflammatory Drugs.

OBJECTIVES: To model the occurrence of adverse events (AEs) among Veterans prescribed nonsteroidal anti-inflammatory drugs (NSAIDs) during emergency d...

Animal models of idiopathic membranous nephropathy: Recent advances and future perspectives.

Idiopathic membranous nephropathy (IMN) is one of the main causes of adult nephrotic syndrome. A subset of untreated or inadequately treated patients ...

Predictive Model for Thrombosis in Mature Autologous Arteriovenous Fistula.

OBJECTIVE: Based on the "high-risk stenosis-thrombosis" theory, this study developed a risk prediction model for thrombosis in mature autogenous arter...