Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
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
_version_ 1782308278749888512
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
work_keys_str_mv AT chendongping clinicalcharacteristicsanddiseasepredictorsofalargechinesecohortofpatientswithautosomaldominantpolycystickidneydisease
AT mayiyi clinicalcharacteristicsanddiseasepredictorsofalargechinesecohortofpatientswithautosomaldominantpolycystickidneydisease
AT wangxueqi clinicalcharacteristicsanddiseasepredictorsofalargechinesecohortofpatientswithautosomaldominantpolycystickidneydisease
AT yushengqiang clinicalcharacteristicsanddiseasepredictorsofalargechinesecohortofpatientswithautosomaldominantpolycystickidneydisease
AT lilin clinicalcharacteristicsanddiseasepredictorsofalargechinesecohortofpatientswithautosomaldominantpolycystickidneydisease
AT daibing clinicalcharacteristicsanddiseasepredictorsofalargechinesecohortofpatientswithautosomaldominantpolycystickidneydisease
AT maozhiguo clinicalcharacteristicsanddiseasepredictorsofalargechinesecohortofpatientswithautosomaldominantpolycystickidneydisease
AT sunlijun clinicalcharacteristicsanddiseasepredictorsofalargechinesecohortofpatientswithautosomaldominantpolycystickidneydisease
AT xuchenggang clinicalcharacteristicsanddiseasepredictorsofalargechinesecohortofpatientswithautosomaldominantpolycystickidneydisease
AT rongshu clinicalcharacteristicsanddiseasepredictorsofalargechinesecohortofpatientswithautosomaldominantpolycystickidneydisease
AT tangmengjun clinicalcharacteristicsanddiseasepredictorsofalargechinesecohortofpatientswithautosomaldominantpolycystickidneydisease
AT zhaohongbo clinicalcharacteristicsanddiseasepredictorsofalargechinesecohortofpatientswithautosomaldominantpolycystickidneydisease
AT liuhongchao clinicalcharacteristicsanddiseasepredictorsofalargechinesecohortofpatientswithautosomaldominantpolycystickidneydisease
AT serraandreasl clinicalcharacteristicsanddiseasepredictorsofalargechinesecohortofpatientswithautosomaldominantpolycystickidneydisease
AT grafnicole clinicalcharacteristicsanddiseasepredictorsofalargechinesecohortofpatientswithautosomaldominantpolycystickidneydisease
AT liushiyuan clinicalcharacteristicsanddiseasepredictorsofalargechinesecohortofpatientswithautosomaldominantpolycystickidneydisease
AT wuthrichrudolfp clinicalcharacteristicsanddiseasepredictorsofalargechinesecohortofpatientswithautosomaldominantpolycystickidneydisease
AT meichanglin clinicalcharacteristicsanddiseasepredictorsofalargechinesecohortofpatientswithautosomaldominantpolycystickidneydisease