Kook-Hwan Oh

Risk factors for recurrent cardiovascular events in CKD: results from the KNOW-CKD study.

Single-Nucleus Transcriptomic Atlas Reveals Disease-Associated Cellular States in Human Glomerular Diseases

Introduction Glomerular diseases are a major cause of chronic kidney disease and kidney failure worldwide, yet the cellular mechanisms underlying their heterogeneity remain incompletely understood. Single-nucleus RNA sequencing (snRNA-seq) enables high-resolution characterization of transcriptional alterations across d...

Machine learning-assisted prediction of 5-year mortality in chronic kidney disease: the KoreaN cohort study for Outcome in patients With Chronic Kidney Disease (KNOW-CKD).

Background Mortality prediction models for patients with non-dialysis chronic kidney disease (CKD) remain limited despite their clinical importance. While machine learning (ML) offers the potential to improve prediction accuracy, its "black-box" nature has hindered clinical adoption. This study aimed to develop and val...

Proteinuria and Kidney Function Trajectories in Patients with Advanced CKD: Insights from CRIC and KNOW-CKD Studies.

INTRODUCTION While urine protein-to-creatinine ratio (UPCR) is more commonly used than urine albumin-to-creatinine ratio in routine care, and particularly in low-resource settings; its association with kidney function decline and projected time to reach a kidney failure estimated glomerular filtration rate (eGFR) thres...