Design and implementation of the first nationwide, web-based Chinese Renal Data System (CNRDS)

Zhang, Dong; Wu, Jinzhao; Zhang, Yunfeng; Yang, Qing; Sun, Xuefeng; Cheng, Jing; Chen, Xiangmei

doi:10.1186/1472-6947-12-11

Cited by 32 publications

(28 citation statements)

References 25 publications

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“…Although chronic glomerulonephritis is the most common cause of ESRD in China, the proportion of ESRD cases caused by DM is increasing rapidly. The Chinese National Renal Data System (CNRDS) is initiated by the Chinese Society of Nephrology under the leadership of the Ministry of Health of China in 2010 . The main objectives of the CNRDS are to collect demographic, clinical and laboratory data for HD and PD cases and to establish a kidney disease database for research and policy making.…”

Section: Chinamentioning

confidence: 99%

“…The Chinese National Renal Data System (CNRDS) is initiated by the Chinese Society of Nephrology under the leadership of the Ministry of Health of China in 2010. 8 The main objectives of the CNRDS are to collect demographic, clinical and laboratory data for HD and PD cases and to establish a kidney disease database for research and policy making. According to the CNRDS, there were 4047 HD centres and 1031 PD centres in China in 2014.…”

Section: Chinamentioning

confidence: 99%

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Addressing the burden of dialysis around the world: A summary of the roundtable discussion on dialysis economics at the First International Congress of Chinese Nephrologists 2015

Lui

et al. 2017

Nephrology

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ABSTRACT:To address the issue of heavy dialysis burden due to the rising prevalence of end-stage renal disease around the world, a roundtable discussion on the sustainability of managing dialysis burden around the world was held in Hong Kong during the First International Congress of Chinese Nephrologists in December 2015. The roundtable discussion was attended by experts from Hong Kong, China, Canada, England, Malaysia, Singapore, Taiwan and United States. Potential solutions to cope with the heavy burden on dialysis include the prevention and retardation of the progression of CKD; wider use of home-based dialysis therapy, particularly PD; promotion of kidney transplantation; and the use of renal palliative care service.

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Section: Chinamentioning

confidence: 99%

Section: Chinamentioning

confidence: 99%

Addressing the burden of dialysis around the world: A summary of the roundtable discussion on dialysis economics at the First International Congress of Chinese Nephrologists 2015

Lui

et al. 2017

Nephrology

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“…In China, Xie et al designed national kidney data system in a portal structure which is implemented based on a Java web application and uses Apache server services. They also used MySQL database to manage the data (21).…”

Section: Discussionmentioning

confidence: 99%

Development of a web-based information system for monitoring of hemodialysis adequacy

Jebraeily¹,

Safdari²,

Rahimi³

et al. 2019

J Nephropharmacol

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“…The number of patients that accepted maintenance renal replacement therapy in the United States increased from 281,000 in 2000 to 547,000 in 2010 to 571,000 in 2011 [5]. Currently, over 270,000 chronic hemodialysis patients were registered in the Chinese Renal Data System [6].…”

Section: Introductionmentioning

confidence: 99%

Improved Glomerular Filtration Rate Estimation by an Artificial Neural Network

Liu

Pei

et al. 2013

PLoS ONE

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BackgroundAccurate evaluation of glomerular filtration rates (GFRs) is of critical importance in clinical practice. A previous study showed that models based on artificial neural networks (ANNs) could achieve a better performance than traditional equations. However, large-sample cross-sectional surveys have not resolved questions about ANN performance.MethodsA total of 1,180 patients that had chronic kidney disease (CKD) were enrolled in the development data set, the internal validation data set and the external validation data set. Additional 222 patients that were admitted to two independent institutions were externally validated. Several ANNs were constructed and finally a Back Propagation network optimized by a genetic algorithm (GABP network) was chosen as a superior model, which included six input variables; i.e., serum creatinine, serum urea nitrogen, age, height, weight and gender, and estimated GFR as the one output variable. Performance was then compared with the Cockcroft-Gault equation, the MDRD equations and the CKD-EPI equation.ResultsIn the external validation data set, Bland-Altman analysis demonstrated that the precision of the six-variable GABP network was the highest among all of the estimation models; i.e., 46.7 ml/min/1.73 m2 vs. a range from 71.3 to 101.7 ml/min/1.73 m2, allowing improvement in accuracy (15% accuracy, 49.0%; 30% accuracy, 75.1%; 50% accuracy, 90.5% [P<0.001 for all]) and CKD stage classification (misclassification rate of CKD stage, 32.4% vs. a range from 47.3% to 53.3% [P<0.001 for all]). Furthermore, in the additional external validation data set, precision and accuracy were improved by the six-variable GABP network.ConclusionsA new ANN model (the six-variable GABP network) for CKD patients was developed that could provide a simple, more accurate and reliable means for the estimation of GFR and stage of CKD than traditional equations. Further validations are needed to assess the ability of the ANN model in diverse populations.

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Design and implementation of the first nationwide, web-based Chinese Renal Data System (CNRDS)

Cited by 32 publications

References 25 publications

Addressing the burden of dialysis around the world: A summary of the roundtable discussion on dialysis economics at the First International Congress of Chinese Nephrologists 2015

Addressing the burden of dialysis around the world: A summary of the roundtable discussion on dialysis economics at the First International Congress of Chinese Nephrologists 2015

Development of a web-based information system for monitoring of hemodialysis adequacy

Improved Glomerular Filtration Rate Estimation by an Artificial Neural Network

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