Observational studyMedicine2021
Analysis of risk factors and construction of prediction model of drop out from peritoneal dialysis.
Observational study in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- Peritoneal dialysis discontinuation: to the root of the problem.Journal of nephrology · 2023Review
- Factors Associated with Self-Management of Peritoneal Dialysis Patients in Urumqi of Xinjiang of China: A Cross-Sectional Survey.Patient preference and adherence · 2023Article
- Risk of bias assessment tool for systematic review and meta-analysis of the gut microbiome.Gut microbiome (Cambridge, England) · 2023Article
- Establishment of a Nomogram Model for Predicting Cardiovascular and Cerebrovascular Events in Diabetic Nephropathy Patients Receiving Maintenance Hemodialysis.Applied bionics and biomechanics · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
abstractThis study is to investigate the risk factors for the drop out from peritoneal dialysis.We retrospectively analyzed patients who underwent catheterization between January 1, 2009 and September 30, 2019. The follow-up period ended on November 30, 2019. End point events were the cessation of peritoneal dialysis, including death, conversion to hemodialysis, and kidney transplantation. Kaplan-Meier method was used to analyze peritoneal dialysis curve. Significant factors were included in the multivariate Cox proportional hazards model. Calibration curve was plotted.A total of 377 patients were included in this study. The dropout rate of peritoneal dialysis was 41.38%. The main drop out reason was conversion to hemodialysis, accounting for 41.67% of the total number of drop out, followed by kidney transplantation (28.21%) and death (25%). According to multivariable Cox proportional hazards model analysis, the medium education level (hazard ratio (HR): 2.53, 95% confidence interval (CI): 1.08-5.91, P = .03), high education level (HR: 2.47, 95% CI: 1.03-5.93, P = .04), diabetes (HR: 1.87, 95% CI: 1.24-2.83, P < .03), hypertension (HR: 2.40, 95% CI: 1.64-3.51, P < .01), repeated peritonitis (HR: 5.18, 95% CI: 3.04-8.80, P < .01), and repeated chest complications (HR: 4.98, 95% CI: 2.79-8.89, P < .01) were independent risk factors for dropping out from peritoneal dialysis, while the number of hospitalizations after catheterization (HR: 0.94, 95% CI: 0.89-0.98, P = .01) was protective factor for maintenance of peritoneal dialysis. The C index of the prediction model was 0.74.Higher education level, diabetes, hypertension, repeated peritonitis, and repeated chest complications were the risk factors of dropping out from peritoneal dialysis, while higher number of hospitalizations after catheterization was a protective factor for the maintenance of peritoneal dialysis. The nomogram could predict the probability of dropping out from peritoneal dialysis.
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