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

Predictors of Oral Antibiotic Treatment Failure in Emergency Department Patients With Cellulitis

Royal College of Surgeons, Ireland · 2015
ClinicalTrials.gov · Datasets · License: Public Domain · 2015
Open Source ↗
cohort-studyemergency-department
The term cellulitis is a medical term describing a bacterial infection of the skin and tissues beneath the skin. Although it is usually easily treated with antibiotics given either orally or through a vein (intravenously), knowing which route of antibiotic treatment to prescribe to a person attending an Emergency Department with cellulitis is not clear. A Clinical Prediction rule (CPR) is a decision-making tool that comes from original research as opposed to the opinion of experts. We intend to create a preliminary CPR to decide which patients require oral and which patients require intravenous antibiotics for cellulitis from their first visit to an emergency department. The aim of this is to provide safer care by reducing the risk of a patient returning to the hospital with a worsening infection. It will also promote more cost-effective care by reducing hospital re-attendance rates and wasted antibiotics. Patients attending the department with cellulitis who are suitable for oral antibiotic treatment will be enrolled into this study. A separate doctor will re-examine at least 10% of study participants in order to reduce bias. A set of physical signs and symptoms will be recorded from each patient in order to determine which ones are associated with them "failing" prescribed oral treatment. A study investigator will then phone the patient after 14 days to see whether they are better or whether they required intravenous antibiotics to get better.
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 1101326
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