Research Article

Classification of primary glenohumeral osteoarthritis in a Turkish population - morphological study

Volume: 6 Number: 3 December 9, 2021
EN TR

Classification of primary glenohumeral osteoarthritis in a Turkish population - morphological study

Abstract

Aim: This study aimed to investigate the distribution of modified Walch classification groups in a Turkish patient population. We think that there may be glenoid morphologies that do not fit the modified Walch classification due to ethnic differences. Methods: Computed tomography images of 113 patients with primary glenohumeral osteoarthritis (GHOA) were evaluated. Version angle was measured according to the Friedman method, and classification was made by two blinded surgeons according to the modified Walch classification. Patients who did not meet the modified Walch groups were labeled as “Unclassifiable” and were analyzed as the 8th group. Results: The mean age of the patients was 85.5 ± 7.5 years. Forty-eight patients were male (42.5%). Eighty-two patients (72.6%) belonged to Walch group A (60 A1 and 22 A2, respectively). The total percentage of group B was 16.7% (20 patients). Two patients were included in the “Unclassifiable” group. One of the patients had glenoid convexity due to advanced disease with 1° anteversion. The other patient in this group had anterior subluxation without underlying pathology. Conclusion: The distribution of modified Walch groups in the Turkish population may be different from other populations. Posterior defective glenoid and excessive retroversion may concern less in the Turkish population with primary GHOA. Our results were obtained limited population and we think that further epidemiologic studies with larger sample size are needed.

Keywords

References

  1. Menge TJ, Boykin RE, Byram IR, Bushnell BD. A comprehensive approach to glenohumeral arthritis. South Med J. 2014;107:567-73.
  2. Ho JC, Sabesan VJ, Iannotti JP. Glenoid component retroversion is associated with osteolysis. J Bone Joint Surg Am. 2013;95:e82.
  3. Cabezas AF, Krebes K, Hussey MM, Santoni BG, Kim HS, Frankle MA, et al. Morphologic variability of the shoulder between the populations of North American and East Asian. Clin Orthop Surg. 2016;8:280-7.
  4. Zhang Q, Shi LL, Ravella KC, Koh JL, Wang S, Liu C, et al. Distinct proximal humeral geometry in Chinese population and clinical relevance. J Bone Joint Surg Am. 2016;98:2071-81.
  5. Walch G, Badet R, Boulahia A, Khoury A. Morphologic study of the glenoid in primary glenohumeral osteoarthritis. J Arthroplasty. 1999;14:756-60.
  6. Lowe JT, Testa EJ, Li X, Miller S, DeAngelis JP, Jawa A. Magnetic resonance imaging is comparable to computed tomography for determination of glenoid version but does not accurately distinguish between Walch B2 and C classifications. J Shoulder Elbow Surg. 2017;26:669-73.
  7. Nowak DD, Gardner TR, Bigliani LU, Levine WN, Ahmad CS. Interobserver and intraobserver reliability of the Walch classification in primary glenohumeral arthritis. J Shoulder Elbow Surg. 2010;19:180-3.
  8. Scalise JJ, Codsi MJ, Brems JJ, Iannotti JP. Inter-rater reliability of an arthritic glenoid morphology classification system. J Shoulder Elbow Surg. 2008;17:575-7.

Details

Primary Language

English

Subjects

Surgery

Journal Section

Research Article

Publication Date

December 9, 2021

Submission Date

June 1, 2021

Acceptance Date

November 17, 2021

Published in Issue

Year 2021 Volume: 6 Number: 3

Vancouver
1.Mustafa Özçamdallı, Sinan Oguzkaya, Gökay Eken, Turan Bilge Kızkapan, Erdal Uzun. Classification of primary glenohumeral osteoarthritis in a Turkish population - morphological study. Arch Clin Exp Med [Internet]. 2021 Dec. 1;6(3):134-7. Available from: https://izlik.org/JA25HC27MW