ClinicalTrials.gov
public full text
Public Domain
Sonographic Predictors of Difficult Epidural Placement.
Epidural placement is a commonly used procedure for pain management during labor, delivery, and surgeries. However, epidural placement is often considered a technically challenging and complex procedure that requires a high level of skill and experience. In cases where the epidural is improperly placed or fails to produce effective analgesia, the discomfort and distress experienced by the patient may be heightened. Hence, the use of predictors, such as sonographic ones, may prove to be a valuable tool for healthcare professionals in the placement of epidurals, ultimately ensuring successful pain management for patients. The present study aims to identify predictors of difficult epidural placement in patients undergoing 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
- Incidence and Factors Involving Cesarean Delivery After Epidural Analgesia for Labor#801074
- Comparison of Skin - Epidural and Intervertebral Distances in Sitting and Rider Position#860195
- Usefulness of the Tsui Test in Combined Spinal-Epidural Analgesia in Labour#1111954
- Thoracic Epidural for Postoperative Ileus#845094
- Measurement of Hemodynamic Variables Under Spinal Anesthesia With Varied Positioning#830530
Record · ID 846923
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