ArticleInternational journal of medical sciences2015
Predicting one-year mortality in peritoneal dialysis patients: an analysis of the China Peritoneal Dialysis Registry.
Article in International journal of medical sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Clinical characteristics and prognosis of peritoneal dialysis-associated peritonitis caused by non-fermenting Gram-negative bacteria: a single-center retrospective analysis.Renal failure · 2026Article
- Long-term survival of older patients undergoing urgent-start peritoneal dialysis.BMC geriatrics · 2026Article
- Blood Pressure Level and Risk of All-Cause Mortality in Patients With Kidney Failure on Maintenance Peritoneal Dialysis: A Systematic Review and Meta-Analysis of Observational Studies.Kidney medicine · 2026Article
- Development and validation of a prediction model for all-cause mortality in maintenance dialysis patients: a multicenter retrospective cohort study.Renal failure · 2024Article
- Immune-metabolic marker of albumin-to-fibrinogen ratio based prognostic nomogram for patients following peritoneal dialysis.Frontiers in medicine · 2024Article
- Peritoneal Dialysis Care in Mainland China: Nationwide Survey.JMIR public health and surveillance · 2023Article
- Serum albumin at 1 year after peritoneal dialysis predicts long-term outcomes on continuous ambulatory peritoneal dialysis.Renal failure · 2022Article
- Kt/V reach rate is associated with clinical outcome in incident peritoneal dialysis patients.Renal failure · 2022Article
- Peritoneal transport status and first episode of peritonitis: a large cohort study.Renal failure · 2021Article
- Development and validation of a novel score to predict dialysis inadequacy in continuous ambulatory peritoneal dialysis patients.The Journal of international medical research · 2021Article
- Development of a scoring tool for predicting prolonged length of hospital stay in peritoneal dialysis patients through data mining.Annals of translational medicine · 2020Article
- Development of a risk prediction model for infection-related mortality in patients undergoing peritoneal dialysis.PloS one · 2019Article
- Prediction models for the mortality risk in chronic dialysis patients: a systematic review and independent external validation study.Clinical epidemiology · 2017Article
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8 authors.
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Abstract
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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