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Published in: BMC Musculoskeletal Disorders 1/2017

Open Access 01-12-2017 | Research article

Critical shoulder angle combined with age predict five shoulder pathologies: a retrospective analysis of 1000 cases

Authors: Philipp R. Heuberer, Fabian Plachel, Lukas Willinger, Philipp Moroder, Brenda Laky, Leo Pauzenberger, Fritz Lomoschitz, Werner Anderl

Published in: BMC Musculoskeletal Disorders | Issue 1/2017

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Abstract

Background

Acromial morphology has previously been defined as a risk factor for some shoulder pathologies. Yet, study results are inconclusive and not all major shoulder diseases have been sufficiently investigated. Thus, the aim of the present study was to analyze predictive value of three radiological parameters including the critical shoulder angle, acromion index, and lateral acromion angle in relationship to symptomatic patients with either cuff tear arthropathy, glenohumeral osteoarthritis, rotator cuff tear, impingement, and tendinitis calcarea.

Methods

A total of 1000 patients’ standardized true-anteroposterior radiographs were retrospectively assessed. Receiver-operating curve analyses and multinomial logistic regression were used to examine the association between shoulder pathologies and acromion morphology. The prediction model was derived from a development cohort and applied to a validation cohort. Prediction model’s performance was statistically evaluated.

Results

The majority of radiological measurements were significantly different between shoulder pathologies, but the critical shoulder angle was an overall better parameter to predict and distinguish between the different pathologies than the acromion index or lateral acromion angle. Typical critical shoulder angle-age patterns for the different shoulder pathologies could be detected. Patients diagnosed with rotator cuff tears had the highest, whereas patients with osteoarthritis had the lowest critical shoulder angle. The youngest patients were in the tendinitis calcarea and the oldest in the cuff tear arthropathy group.

Conclusions

The present study showed that critical shoulder angle and age, two easily assessable variables, adequately predict different shoulder pathologies in patients with shoulder complaints.
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Metadata
Title
Critical shoulder angle combined with age predict five shoulder pathologies: a retrospective analysis of 1000 cases
Authors
Philipp R. Heuberer
Fabian Plachel
Lukas Willinger
Philipp Moroder
Brenda Laky
Leo Pauzenberger
Fritz Lomoschitz
Werner Anderl
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Musculoskeletal Disorders / Issue 1/2017
Electronic ISSN: 1471-2474
DOI
https://doi.org/10.1186/s12891-017-1559-4

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