Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

RRI Compared With NephroCheckTM to Predict Acute Renal Failure After Cardiac Surgery.

University Hospital, Bordeaux · 2014
ClinicalTrials.gov · Datasets · License: Public Domain · 2014
Open Source ↗
cardiac-surgery
Postoperative acute renal failure is a frequent complication after cardiac surgery. The current practice cannot predict Acute Kidney Injuries (AKI) early enough to reduce a significant kidney assault and prevent an organic dysfunction leading to cortical tubular necrosis. Several recent studies in cardiac surgery have shown that, both sonographic criteria, such as the Renal Resistive Index (IRR) and urinary biomarkers can predict AKI promptly. These urinary biomarkers are the 'tissue inhibitor of metalloproteinases' (TIMP-2) and the 'insulin-like growth factor binding protein' (IGFBP7). These two proteins are sought noninvasively, directly in the urine, within the same test called 'NephroCheckTM'. These markers, ultrasonographic and biologic, have the advantage of being easy to perform, accessible and seem to have both high sensitivity and specificity to predict AKI promptly after cardiac surgery. Thus, the IRR and the NephroCheckTM test could become essential tests to guide clinicians in determining rapidly whether a patient will develop AKI. However, so far, no study has compared these markers yet. Therefore, the aim of this prospective observational study will be to compare the effectiveness of the IRR with the NephroCheckTM to predict AKI promptly after cardiac surgery. The secondary outcome will be to determine the threshold of these markers from which patients will be likely to develop AKI
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

Record · ID 890152
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