biostudies-literatureUnknown9(3)Chen D<h4>Objective</h4>Autosomal dominant polycystic kidney disease (ADPKD) is a relentlessly progressing form of chronic kidney disease for which there is no cure. The aim of this study was to characterize Chinese patients with ADPKD and to identify the factors which predict cyst growth and renal functional deterioration.<h4>Methods</h4>To analyze disease predicting factors we performed a prospective longitudinal observational study in a cohort of 541 Chinese patients with ADPKD and an eGFR ≥ 30 ml/min/1.73 m(2). Patients were followed clinically and radiologically with sequential abdominal magnetic resonance imaging (MRI). Clinical characteristics and laboratory data were related to changes in estimated glomerular filtration rate (eGFR) and total kidney volume (TKV). A linear regression modelPloS onee92232https://www.ebi.ac.uk/biostudies/studies/S-EPMC3961326biostudies-literatureClinical characteristics and disease predictors of a large Chinese cohort of patients with autosomal dominant polycystic kidney disease.PMC3961326Liu HGraf NYu SDai BMa YXu CLiu SWuthrich RPLi LSerra ALChen DSun LTang MRong SMei CWang XMao ZZhao HfalseClinical characteristics and disease predictors of a large Chinese cohort of patients with autosomal dominant polycystic kidney disease.<h4>Objective</h4>Autosomal dominant polycystic kidney disease (ADPKD) is a relentlessly progressing form of chronic kidney disease for which there is no cure. The aim of this study was to characterize Chinese patients with ADPKD and to identify the factors which predict cyst growth and renal functional deterioration.<h4>Methods</h4>To analyze disease predicting factors we performed a prospective longitudinal observational study in a cohort of 541 Chinese patients with ADPKD and an eGFR ≥ 30 ml/min/1.73 m(2). Patients were followed clinically and radiologically with sequential abdominal magnetic resonance imaging (MRI). Clinical characteristics and laboratory data were related to changes in estimated glomerular filtration rate (eGFR) and total kidney volume (TKV). A linear regression model2014-01-01T00:00:00Z20142025-05-18T11:05:25.726Z2025-05-18T11:05:25.726ZS-EPMC39613262465185010.1371/journal.pone.0092232