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Predicting One-Year Mortality in Peritoneal Dialysis Patients: An Analysis of the China Peritoneal Dialysis Registry

This study aims to investigate basic clinical features of peritoneal dialysis (PD) patients, their prognostic risk factors, and to establish a prognostic model for predicting their one-year mortality. A national multi-center cohort study was performed. A total of 5,405 new PD cases from China Perito...

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Autores principales: Cao, Xue-Ying, Zhou, Jian-Hui, Cai, Guang-Yan, Tan, Ni-Na, Huang, Jing, Xie, Xiang-Cheng, Tang, Li, Chen, Xiang-Mei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4445016/
https://www.ncbi.nlm.nih.gov/pubmed/26019685
http://dx.doi.org/10.7150/ijms.11694
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author Cao, Xue-Ying
Zhou, Jian-Hui
Cai, Guang-Yan
Tan, Ni-Na
Huang, Jing
Xie, Xiang-Cheng
Tang, Li
Chen, Xiang-Mei
author_facet Cao, Xue-Ying
Zhou, Jian-Hui
Cai, Guang-Yan
Tan, Ni-Na
Huang, Jing
Xie, Xiang-Cheng
Tang, Li
Chen, Xiang-Mei
author_sort Cao, Xue-Ying
collection PubMed
description This study aims to investigate basic clinical features of peritoneal dialysis (PD) patients, their prognostic risk factors, and to establish a prognostic model for predicting their one-year mortality. A national multi-center cohort study was performed. A total of 5,405 new PD cases from China Peritoneal Dialysis Registry in 2012 were enrolled in model group. All these patients had complete baseline data and were followed for one year. Demographic and clinical features of these patients were collected. Cox proportional hazards regression model was used to analyze prognostic risk factors and establish prognostic model. A validation group was established using 1,764 new PD cases between January 1, 2013 and July 1, 2013, and to verify accuracy of prognostic model. Results indicated that model group included 4,453 live PD cases and 371 dead cases. Multivariate survival analysis showed that diabetes mellitus (DM), residual glomerular filtration rate (rGFR), , SBP, Kt/V, high PET type and Alb were independently associated with one-year mortality. Model was statistically significant in both within-group verification and outside-group verification. In conclusion, DM, rGFR, SBP, Kt/V, high PET type and Alb were independent risk factors for short-term mortality in PD patients. Prognostic model established in this study accurately predicted risk of short-term death in PD patients.
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spelling pubmed-44450162015-05-27 Predicting One-Year Mortality in Peritoneal Dialysis Patients: An Analysis of the China Peritoneal Dialysis Registry Cao, Xue-Ying Zhou, Jian-Hui Cai, Guang-Yan Tan, Ni-Na Huang, Jing Xie, Xiang-Cheng Tang, Li Chen, Xiang-Mei Int J Med Sci Research Paper This study aims to investigate basic clinical features of peritoneal dialysis (PD) patients, their prognostic risk factors, and to establish a prognostic model for predicting their one-year mortality. A national multi-center cohort study was performed. A total of 5,405 new PD cases from China Peritoneal Dialysis Registry in 2012 were enrolled in model group. All these patients had complete baseline data and were followed for one year. Demographic and clinical features of these patients were collected. Cox proportional hazards regression model was used to analyze prognostic risk factors and establish prognostic model. A validation group was established using 1,764 new PD cases between January 1, 2013 and July 1, 2013, and to verify accuracy of prognostic model. Results indicated that model group included 4,453 live PD cases and 371 dead cases. Multivariate survival analysis showed that diabetes mellitus (DM), residual glomerular filtration rate (rGFR), , SBP, Kt/V, high PET type and Alb were independently associated with one-year mortality. Model was statistically significant in both within-group verification and outside-group verification. In conclusion, DM, rGFR, SBP, Kt/V, high PET type and Alb were independent risk factors for short-term mortality in PD patients. Prognostic model established in this study accurately predicted risk of short-term death in PD patients. Ivyspring International Publisher 2015-05-01 /pmc/articles/PMC4445016/ /pubmed/26019685 http://dx.doi.org/10.7150/ijms.11694 Text en © 2015 Ivyspring International Publisher. Reproduction is permitted for personal, noncommercial use, provided that the article is in whole, unmodified, and properly cited. See http://ivyspring.com/terms for terms and conditions.
spellingShingle Research Paper
Cao, Xue-Ying
Zhou, Jian-Hui
Cai, Guang-Yan
Tan, Ni-Na
Huang, Jing
Xie, Xiang-Cheng
Tang, Li
Chen, Xiang-Mei
Predicting One-Year Mortality in Peritoneal Dialysis Patients: An Analysis of the China Peritoneal Dialysis Registry
title Predicting One-Year Mortality in Peritoneal Dialysis Patients: An Analysis of the China Peritoneal Dialysis Registry
title_full Predicting One-Year Mortality in Peritoneal Dialysis Patients: An Analysis of the China Peritoneal Dialysis Registry
title_fullStr Predicting One-Year Mortality in Peritoneal Dialysis Patients: An Analysis of the China Peritoneal Dialysis Registry
title_full_unstemmed Predicting One-Year Mortality in Peritoneal Dialysis Patients: An Analysis of the China Peritoneal Dialysis Registry
title_short Predicting One-Year Mortality in Peritoneal Dialysis Patients: An Analysis of the China Peritoneal Dialysis Registry
title_sort predicting one-year mortality in peritoneal dialysis patients: an analysis of the china peritoneal dialysis registry
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4445016/
https://www.ncbi.nlm.nih.gov/pubmed/26019685
http://dx.doi.org/10.7150/ijms.11694
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