ClinicalTrials.gov
public full text
Public Domain
Detection of Patients With Abnormal Water Distribution Based on Bioelectrical Impedance Analysis (BIA)
The aim of this clinical investigation is to prove that the seca mbca detects dialysis patients with abnormal water distribution correctly. Abnormal high water distribution is defined as more than 2 liters of Total Body Water (TBW) above a normal value range. TBW and Extra Cellular Water (ECW) are calculated with prediction equations for healthy subjects generated in BCA-01. The results are compared with TBW and ECW ascertained by dilution methods as standard reference methods. The Bioelectrical Impedance Analysis (BIA) method should be evaluated to the accuracy of the absolute measurement of the volume state of dialysis patients (euvolaemic and hypervolaemic) based on a single measurement.
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
- Assessment of Hydration Status Using Bioelectrical Impedance Vector Analysis#1031654
- Application of Bioimpedance Spectroscopy in Taiwan Dialysis Patients#884354
- Comparison of Body Hydration State in Hemodialysis Patients#898058
- Body Composition Monitor Among Daily Home Dialysis With Low Flow Dialysate#826651
- Bio-electrical Impedance Analysis Derived Parameters for Evaluating Fluid Accumulation#1103541
Record · ID 887362
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