ClinicalTrials.gov
public full text
Public Domain
Analysis of Clinical Outcomes in Patients Undergoing Acute Dialysis Therapy at Intensive Care Units
Acute kidney injury is more frequent and the mortality rate would be as high as 50-60% when the renal replacement therapy was needed. Many studies about the timing of start and discontinuation of dialysis, dialysis dose, dialyzer, anticoagulation and dialysates were initiated but the results were still controversial. In addition, more new biomarkers were found to predict the outcome of acute kidney injury and these biomarkers may play an important role for the dilemma of aforementioned studies. This observational prospective study has two objectives: 1. To find the predictors of outcome for the acute kidney injury with renal replacement therapy and determine the appropriate method. 2. To find the relationship between new biomarkers and acute kidney injury and determine whether it can be a factor for the monitor of the response of the renal replacement therapy.
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
- Identification and Validation of Biomarkers of Acute Kidney Injury Recovery#814050
- Neutrophil and Monocyte Deactivation Via the SeLective CytopheretIc Device - A Randomized Clinical Trial in Acute Kidney Injury#1096991
- Protocol to Assess the Severity of Acute Kidney Injury#1058138
- Predicting Poor Outcomes of Cardiac Surgery-Associated Acute Kidney Injury Using Novel Biomarkers#896196
- Evaluation of Candidate Biomarkers to Predict Disease Severity and Acute Kidney Injury in Sepsis Patients#1138117
Record · ID 1008916
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