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Evidence Based Algorithm for Proximal Humerus Fractures

Completed
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
Inclusion Criteria
  • Acute traumatic proximal humeral fracture
  • Signed informed consent
Exclusion Criteria
  • 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
NameTimeMethod
Constant ScoreOne year

Point 0-100

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Department of Orthopaedic Surgery and Traumatology

🇨🇭

Saint Gallen, Switzerland

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