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

Wound Healing, Dressing Type, and Dressing Change Frequency in THA

Clinical Center of Vojvodina · 2026
ClinicalTrials.gov · Datasets · License: Public Domain · 2026
Open Source ↗
wound-healing
Surgical wound complications following primary total hip arthroplasty remain a significant clinical challenge despite advances in wound care technologies. The optimal choice of dressing and frequency of dressing changes remain insufficiently investigated, particularly regarding their influence on wound healing and the wound microenvironment. This prospective, randomized, controlled clinical trial aims to evaluate the impact of dressing type and dressing change frequency on surgical wound healing in patients undergoing primary total hip arthroplasty. Ninety patients will be allocated into three treatment groups receiving either a capillary-action dressing system (VACUTEX™) or standard dressings with different dressing change intervals. The study will assess time to complete wound epithelialization, postoperative wound complications, pain intensity, wound temperature, exudate pH, length of hospital stay, and time to suture removal. In addition, the study will investigate the potential role of wound temperature and exudate pH as early indicators of impaired healing and postoperative complications.
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 1228506
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