Evidence Based Algorithm for Proximal Humerus Fractures
- Conditions
- Proximal Humeral Fracture
- Registration Number
- NCT03464578
- Lead Sponsor
- Cantonal Hospital of St. Gallen
- Brief Summary
Proximal humerus fractures are particularly frequent injuries and represent 6% of all fractures with an overall incidence of 63/100.000 in human. The goal is to assess our institutional evidence based algorithm for treatment of proximal humeral fractures.
Objective(s):
1. Test the algorithm in terms of clinical applicability and clinical outcome
2. Compare general outcome and general complication/revision rate to the literature.
Inclusion / Exclusion criteria: Inclusion: All patients with an acute proximal humeral fracture (not older than 48 hours) admitted to our institution later than 1.1.2014. Exclusion: Multilevel and pathological fractures are excluded.
Terminally ill patients and those not being able, or willing to sing the informed consent.
Project Centre(s): Single-centre.
Statistical Considerations: Standard descriptive statistics will be performed using R-statistics program. Considering the population of 160 patients, we will be able to detect differences in proportions as low as 0.15 with power 82% and alpha = 0.05.
Other methodological Considerations: Terms applicability of a treatment protocol and adhesion to protocol are not well defined for decision making in orthopaedic surgery.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 143
- Acute traumatic proximal humeral fracture
- Signed informed consent
- Fracture older than 48 hours at admission
- Multilevel fractures of the humerus
- Pathological fractures
- Terminally ill patients.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Constant Score One year Point 0-100
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Department of Orthopaedic Surgery and Traumatology
🇨ðŸ‡Saint Gallen, Switzerland