| Literature DB >> 26945021 |
Nathaniel S Nye1, Carlton J Covey2, Lucas Sheldon3, Bryant Webber1, Mary Pawlak1, Barry Boden4, Anthony Beutler2.
Abstract
CONTEXT: Lower extremity stress fractures among athletes and military recruits cause significant morbidity, fiscal costs, and time lost from sport or training. During fiscal years (FY) 2012 to 2014, 1218 US Air Force trainees at Joint Base San Antonio-Lackland, Texas, were diagnosed with stress fracture(s). Diagnosis relied heavily on bone scans, often very early in clinical course and often in preference to magnetic resonance imaging (MRI), highlighting the need for an evidence-based algorithm for stress injury diagnosis and initial management. EVIDENCE ACQUISITION: To guide creation of an evidence-based algorithm, a literature review was conducted followed by analysis of local data. Relevant articles published between 1995 and 2015 were identified and reviewed on PubMed using search terms stress fracture, stress injury, stress fracture imaging, and stress fracture treatment. Subsequently, charts were reviewed for all Air Force trainees diagnosed with 1 or more stress injury in their outpatient medical record in FY 2014. STUDYEntities:
Keywords: MRI; algorithm; clinical prediction rule; military; stress fracture
Mesh:
Year: 2016 PMID: 26945021 PMCID: PMC4981068 DOI: 10.1177/1941738116635558
Source DB: PubMed Journal: Sports Health ISSN: 1941-0921 Impact factor: 3.843
Counts and cumulative incidence rates of stress fracture by fiscal year, training type, and sex, Joint Base San Antonio–Lackland, 2012-2014
| FY 2012 | FY 2013 | FY 2014 | FY 2012-2014 | |||||
|---|---|---|---|---|---|---|---|---|
| n | % | n | % | n | % | n | % | |
| Basic training | ||||||||
| Men | 155 | 0.52 | 217 | 0.82 | 248 | 1.01 | 620 | 0.77 |
| Women | 122 | 1.61 | 120 | 1.66 | 168 | 2.38 | 410 | 1.87 |
| Total | 277 | 0.74 | 337 | 1.00 | 416 | 1.32 | 1030 | 1.00 |
| Technical training | ||||||||
| Men | 51 | 0.73 | 57 | 0.89 | 34 | 0.58 | 142 | 0.74 |
| Women | 20 | 0.99 | 17 | 0.90 | 9 | 0.50 | 46 | 0.81 |
| Total | 71 | 0.78 | 74 | 0.89 | 43 | 0.56 | 188 | 0.75 |
| All training | ||||||||
| Men | 206 | 0.56 | 274 | 0.83 | 282 | 0.93 | 762 | 0.76 |
| Women | 142 | 1.48 | 137 | 1.50 | 177 | 2.00 | 456 | 1.65 |
| Total | 348 | 0.75 | 411 | 0.98 | 459 | 1.17 | 1218 | 0.95 |
FY, fiscal year.
Figure 1.Stress injury algorithm.