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Clinical Characteristics and Disease Predictors of a Large Chinese Cohort of Patients with Autosomal Dominant Polycystic Kidney Disease
OBJECTIVE: 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 de...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3961326/ https://www.ncbi.nlm.nih.gov/pubmed/24651850 http://dx.doi.org/10.1371/journal.pone.0092232 |
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author | Chen, Dongping Ma, Yiyi Wang, Xueqi Yu, Shengqiang Li, Lin Dai, Bing Mao, Zhiguo Sun, Lijun Xu, Chenggang Rong, Shu Tang, Mengjun Zhao, Hongbo Liu, Hongchao Serra, Andreas L. Graf, Nicole Liu, Shiyuan Wüthrich, Rudolf P. Mei, Changlin |
author_facet | Chen, Dongping Ma, Yiyi Wang, Xueqi Yu, Shengqiang Li, Lin Dai, Bing Mao, Zhiguo Sun, Lijun Xu, Chenggang Rong, Shu Tang, Mengjun Zhao, Hongbo Liu, Hongchao Serra, Andreas L. Graf, Nicole Liu, Shiyuan Wüthrich, Rudolf P. Mei, Changlin |
author_sort | Chen, Dongping |
collection | PubMed |
description | OBJECTIVE: 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. METHODS: 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 model was developed to analyze the factors which determine eGFR and TKV changes. RESULTS: The age range of this unselected cohort ranged from 4 to 77 years. Median follow-up time was 14.3±10.6 months. Although inter-individual differences in eGFR and TKV were large, there was a consistent link between these two parameters. Baseline log(10)-transformed TKV and urinary protein/creatinine ratio were identified as the major predictors for a faster eGFR decline and were associated with a higher TKV growth rate. Interestingly, a lower thrombocyte count correlated significantly with lower eGFR (r = 0.222) and higher TKV (r = 0.134). CONCLUSIONS: This large cohort of Chinese patients with ADPKD provides unique epidemiological data for comparison with other cohorts of different ethnicity. In Chinese patients we identified a lower thrombocyte count as a significant predictor of disease progression. These results are important for the design of future clinical trials to retard polycystic kidney disease progression. |
format | Online Article Text |
id | pubmed-3961326 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39613262014-03-27 Clinical Characteristics and Disease Predictors of a Large Chinese Cohort of Patients with Autosomal Dominant Polycystic Kidney Disease Chen, Dongping Ma, Yiyi Wang, Xueqi Yu, Shengqiang Li, Lin Dai, Bing Mao, Zhiguo Sun, Lijun Xu, Chenggang Rong, Shu Tang, Mengjun Zhao, Hongbo Liu, Hongchao Serra, Andreas L. Graf, Nicole Liu, Shiyuan Wüthrich, Rudolf P. Mei, Changlin PLoS One Research Article OBJECTIVE: 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. METHODS: 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 model was developed to analyze the factors which determine eGFR and TKV changes. RESULTS: The age range of this unselected cohort ranged from 4 to 77 years. Median follow-up time was 14.3±10.6 months. Although inter-individual differences in eGFR and TKV were large, there was a consistent link between these two parameters. Baseline log(10)-transformed TKV and urinary protein/creatinine ratio were identified as the major predictors for a faster eGFR decline and were associated with a higher TKV growth rate. Interestingly, a lower thrombocyte count correlated significantly with lower eGFR (r = 0.222) and higher TKV (r = 0.134). CONCLUSIONS: This large cohort of Chinese patients with ADPKD provides unique epidemiological data for comparison with other cohorts of different ethnicity. In Chinese patients we identified a lower thrombocyte count as a significant predictor of disease progression. These results are important for the design of future clinical trials to retard polycystic kidney disease progression. Public Library of Science 2014-03-20 /pmc/articles/PMC3961326/ /pubmed/24651850 http://dx.doi.org/10.1371/journal.pone.0092232 Text en © 2014 Chen et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Chen, Dongping Ma, Yiyi Wang, Xueqi Yu, Shengqiang Li, Lin Dai, Bing Mao, Zhiguo Sun, Lijun Xu, Chenggang Rong, Shu Tang, Mengjun Zhao, Hongbo Liu, Hongchao Serra, Andreas L. Graf, Nicole Liu, Shiyuan Wüthrich, Rudolf P. Mei, Changlin Clinical Characteristics and Disease Predictors of a Large Chinese Cohort of Patients with Autosomal Dominant Polycystic Kidney Disease |
title | Clinical Characteristics and Disease Predictors of a Large Chinese Cohort of Patients with Autosomal Dominant Polycystic Kidney Disease |
title_full | Clinical Characteristics and Disease Predictors of a Large Chinese Cohort of Patients with Autosomal Dominant Polycystic Kidney Disease |
title_fullStr | Clinical Characteristics and Disease Predictors of a Large Chinese Cohort of Patients with Autosomal Dominant Polycystic Kidney Disease |
title_full_unstemmed | Clinical Characteristics and Disease Predictors of a Large Chinese Cohort of Patients with Autosomal Dominant Polycystic Kidney Disease |
title_short | Clinical Characteristics and Disease Predictors of a Large Chinese Cohort of Patients with Autosomal Dominant Polycystic Kidney Disease |
title_sort | clinical characteristics and disease predictors of a large chinese cohort of patients with autosomal dominant polycystic kidney disease |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3961326/ https://www.ncbi.nlm.nih.gov/pubmed/24651850 http://dx.doi.org/10.1371/journal.pone.0092232 |
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