ClinicalTrials.gov
public full text
Public Domain
Faster Peritoneal Solute Transfer Rate and Survival in a Pre-APD and Icodextrin Peritoneal Dialysis Cohort
A fast peritoneal solute transfer rate (PSTR) has been linked to worse survival especially in continuous ambulatory peritoneal dialysis (PD) cohort. In more recent cohorts, where automated PD and icodextrin were more widely used, this association disappears. The current study intended to clarify whether fast PSTR is related to worse outcome in this single center cohort with minimal use of APD and no icodextrin and otherwise modern management practice. Our study found that baseline PSTR predicted patient outcome in univariate survival analysis but not in multivariate analysis. The relationship between comorbidity and faster baseline PSTR may partly explain it.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Effect of Icodextrin on the Treatment Outcome of Peritoneal Dialysis Patients During Acute Peritonitis#890803
- e-STEPS: Endotoxin-Associated Sterile Peritonitis Observational Study#893534
- Observational Study of the Use of Extraneal in Peritoneal Dialysis in Patients#841585
- Pharmacokinetics of Single- and Double-dose Icodextrin#843459
- Independent Effects of Visceral Adipose Volume and Density on Patient Survival in Peritoneal Dialysis#1072935
Record · ID 848587
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive