Nephrology

Models Integrating Disease Heterogeneity and MPA Exposure Predict Systemic and Renal Efficacy of Mycophenolate in Pediatric Lupus Nephritis.

OBJECTIVES: This study aimed to develop and validate integrated prediction models for pediatric lupus nephritis (LN) treated with a mycophenolate mofetil (MMF)-based induction regimen (combined with glucocorticoids and hydroxychloroquine), incorporating both disease heterogeneity and pharmacokinetic variability. The primary model predicts the achievement of low disease activity (Systemic Lupus Ery...

CT data harmonization via learned virtual monoenergetic imaging for cross-kV scan translation and radiomics reproducibility.

BACKGROUND: Radiomics extracts quantitative imaging features from computed tomography (CT) data for clinical decision-making. However, variations in acquisition parameters-particularly x-ray tube voltage (kV)-introduce non-biological variability in attenuation values, limiting the reproducibility of radiomic features across scanners, protocols, and institutions. PURPOSE: To develop and evaluate a ...

IDGSA-DRIU-Net: Internal dilated guided self-attention renal mass segmentation model based on dilated residual inception U-Net.

Computed tomography (CT) is essential for finding and diagnosing kidney tumors and cysts because good lesion segmentation enables accurate diagnosis, ...

Dynamic machine learning prediction of persistent AKI after cardiac surgery with modifiable perioperative risk factors.

Early identification and prevention of persistent acute kidney injury (pAKI) remain challenging due to delayed biochemical markers and limited tools t...

Pre-heart failure in early chronic kidney disease: clinical epidemiology and treatment.

Chronic kidney disease (CKD), defined per the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines by persistent (≥3 months) abnormalities of ...

KidMesh: Computational Mesh Reconstruction for Pediatric Congenital Hydronephrosis Using Deep Neural Networks.

Pediatric congenital hydronephrosis (CH) is a common urinary tract disorder, primarily caused by obstruction at the renal pelvis-ureter junction. Magn...

Identification of a personalized eGFR threshold improves the prediction of kidney failure risk after transplantation.

BACKGROUND: Many factors cause kidney transplant graft failure. To identify at-risk patients and tailor treatment, failure risks must be accurately pr...

Identification and Validation of miR-206-3p Targeting WT-1 Promotes Membranous Nephropathy Through a Comprehensive Bioinformatics and Machine Learning Algorithm.

Membranous nephropathy (MN), a major cause of end-stage renal disease, has limited therapeutics due to unclear targets. MicroRNAs (miRs) play critical...

Predictive accuracy of a perioperative hemodynamic indices-based prediction model for moderate-to-severe acute kidney injury after orthotopic heart transplantation.

BACKGROUND: Acute kidney injury is a common complication after orthotopic heart transplantation. Previous models have failed to consider the impact of...

BD-KDD: A real-world clinical dataset for kidney disease diagnosis and healthy classification.

Kidney disease is a major global health concern that requires timely diagnosis and effective monitoring to prevent severe complications and improve pa...

Using machine learning algorithms to predict MACE in peritoneal dialysis patients.

The study aimed to predict the risks of Major adverse cardiac events (MACE) in patients undergoing peritoneal dialysis (PD) with machine learning (ML)...

Unraveling the toxicological impact of Bisphenol A exposure on dermatomyositis: An integration of network toxicology and machine learning approaches.

BACKGROUND: Dermatomyositis is a common immune-mediated skin disorder whose pathogenesis has not been fully elucidated. Environmental factors play a k...

Association between triglyceride-glucose index and related indicators with heart failure-related mortality in individuals with early-stage cardiovascular-kidney-metabolic syndrome.

BACKGROUND: Insulin resistance is a central pathophysiological feature of cardiovascular-kidney-metabolic (CKM) syndrome and has been implicated in ad...

Trends and disparities in female authorship in surgical publications: A large-scale bibliometric study using natural language processing.

BACKGROUND: Gender disparities in academic surgery persist, particularly in authorship positions that signal leadership, mentorship, and scholarly inf...

ACOT8-mediated palmitate accumulation promotes M1 macrophage polarization in renal ischemia-reperfusion injury via activation of the cGAS-STING pathway.

Renal ischemia-reperfusion injury (IRI) is a major cause of acute kidney injury, involving complex mechanisms of metabolic dysregulation and immune in...

Personalized mapping of body homeostasis using whole-body PET connectomics and routine FDG PET imaging.

BACKGROUND: Immuno-inflammation and systemic alterations are key features of chronic diseases. While PET molecular imaging is widely used in precision...

Incremental Prognostic Value of Pericardial Adipose Tissue Radiomic Phenotype Based on Cardiac MRI in Patients With End-Stage Renal Disease.

BACKGROUND: While pericardial adipose tissue (PEAT) volume is linked to cardiac risk, the prognostic value of its radiomic features for major adverse ...

Prediction of acute kidney injury in patients with acute pesticide poisoning using the PKIP score.

Acute pesticide poisoning frequently leads to acute kidney injury (AKI), which is strongly associated with increased mortality. However, predictive re...

Development of a high-altitude renal disease diagnostic model based on machine learning and multiple biomarker detection: a retrospective study of 19,068 patients.

BACKGROUND AND AIMS: Early detection of chronic kidney disease (CKD) in high-altitude regions remains difficult due to physiological adaptations that ...

Digitally Assessed Nucleolar Size Compared to Traditional Pathologist WHO Grade Allocation in Clear Cell Renal Cell Carcinoma.

Traditional WHO grading for renal cell carcinoma (RCC), largely based on nucleolar prominence, has well-known intraobserver and interobserver variabil...