ClinicalTrials.gov
public full text
Public Domain
Hypotension Prediction With HPI Algorithm During Decessed-donor Kidney Transplant (HPI2022)
HPI monitoring and the adoption of therapeutic interventions before hypotension occurs should be ensure a shorter time of intra-operative hypotension (MAP \< 65 mmHg) during deceased-donor kidney transplant surgery. The control group is represented by patients undergoing the same surgical procedure with hemodynamic monitoring with invasive blood pressure monitoring which represents the gold standard for this surgery. HPI monitoring has not yet been investigated during this surgery.
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
- Observational Single-center Study of the Relationship Between Arterial Hypertension and Hypervolemia Defined by Self-measurement of Impedancemetry in Kidney Transplant Patients With Transplantation Less Than 6 Months Old#992276
- Transplant Outcomes and Weight Management in Renal Disease Study#376084
- RENABLATE Feasibility Study CS156 (EC12-02) Study of Catheter Based Renal Denervation to Treat Resistant Hypertension#844369
- HFS-guided Renal Ablation for Improving Outcome of Renal Denervation Procedure#898994
- Clinical Outcome of Patients With Resistant Hypertension Undergoing Renal Denervation#435801
Record · ID 1372431
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