ClinicalTrials.gov
public full text
Public Domain
Metabolic Pathway Analysis in Intensive Care Unit Patients With Refeeding Syndrome
The overall aim of the study is to improve understanding of refeeding syndrome (RFS) in patients admitted to the intensive care unit (ICU) using metabolomics. Patients are included as part of a prospective multicenter observational study on phosphate disorders in the ICU. Blood samples are collected day 1-7 of ICU stay. Samples from patients who develop refeeding hypophosphatemia and matched controls without hypophosphatemia are analysed for metabolomics and proteomics. Untargeted analyses will be performed to identify the affected metabolic pathways. The investigators will also perform AUROC analyses to identify potential biomarkers for early detection of RFS.
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
- Can Urinary Concentrations of TIMP2 and IGFBP7 be Used to Predict Early Acute Renal Failure Following Cardiac Arrest?#897743
- Is There Any Prognostic Value of Serum Uromodulin in Sepsis Induced AKI.#866815
- Acute Kidney Injury After Cardiac Surgery#897952
- Metabolomic Analysis of Systemic Sclerosis#825876
- RRI Compared With NephroCheckTM to Predict Acute Renal Failure After Cardiac Surgery.#890152
Record · ID 1060836
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