Literature DB >> 32253482

The Hill-Sachs interval to glenoid track width ratio is comparable to the instability severity index score for predicting risk of recurrent instability after arthroscopic Bankart repair.

Kun-Hui Chen1,2,3, Tzu-Cheng Yang1,2, En-Rung Chiang1,2, Hsin-Yi Wang4,2, Hsiao-Li Ma5,6.   

Abstract

PURPOSE: The purpose of this study was to clinically validate the Hill-Sachs interval to glenoid track width ratio (H/G ratio) compared with the instability severity index (ISI) score for predicting an increased risk of recurrent instability after arthroscopic Bankart repair.
METHODS: A retrospective evaluation was performed using data from patients with anteroinferior shoulder instability who underwent arthroscopic Bankart repair with a follow-up period of at least 24 months. A receiver operating characteristic (ROC) curve was used to determine the optimal cut-off values for the H/G ratio and the ISI score to predict an increased risk of recurrent instability. The area under the ROC curve (AUC) of the two methods and the sensitivity and specificity of their optimal cut-off values were compared.
RESULTS: A total of 222 patients were included, among whom 31 (14.0%) experienced recurrent instability during the follow-up period. The optimal cut-off values for predicting an increased risk of recurrent instability were an H/G ratio of ≥ 0.7 and ISI score of ≥ 4. There were no significant differences between the AUC of the two methods (H/G ratio AUC = 0.821, standard error = 0.035 and ISI score AUC = 0.792, standard error = 0.04; n.s.) nor between the sensitivity and specificity of the optimal cut-off values (n.s. and n.s., respectively).
CONCLUSIONS: The H/G ratio is comparable to the ISI score for predicting an increased risk of recurrent instability after arthroscopic Bankart repair. Surgeons are recommended to consider other strategies to treat anterior shoulder instability if H/G ratio is ≥ 0.7. LEVEL OF EVIDENCE: III.

Entities:  

Keywords:  Anterior shoulder instability; Arthroscopic bankart repair; Instability severity index score; Recurrent shoulder instability

Mesh:

Year:  2020        PMID: 32253482     DOI: 10.1007/s00167-020-05955-0

Source DB:  PubMed          Journal:  Knee Surg Sports Traumatol Arthrosc        ISSN: 0942-2056            Impact factor:   4.342


  2 in total

1.  Predicting Failure After Primary Arthroscopic Bankart Repair: Analysis of a Statistical Model Using Anatomic Risk Factors.

Authors:  Edward H Yian; Michael Weathers; Jonathan R Knott; Jeffrey F Sodl; Hillard T Spencer
Journal:  Arthroscopy       Date:  2020-01-08       Impact factor: 4.772

2.  Press-fit fixation in anterior cruciate ligament reconstruction yields low graft failure and revision rates: a systematic review and meta-analysis.

Authors:  Ajaykumar Shanmugaraj; Mathepan Mahendralingam; Chetan Gohal; Nolan Horner; Nicole Simunovic; Volker Musahl; Kristian Samuelsson; Olufemi R Ayeni
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2020-08-12       Impact factor: 4.342

  2 in total
  2 in total

1.  Understanding Anterior Shoulder Instability Through Machine Learning: New Models That Predict Recurrence, Progression to Surgery, and Development of Arthritis.

Authors:  Yining Lu; Ayoosh Pareek; Ryan R Wilbur; Devin P Leland; Aaron J Krych; Christopher L Camp
Journal:  Orthop J Sports Med       Date:  2021-11-23

Review 2.  High Variability of the Definition of Recurrent Glenohumeral Instability: An Analysis of the Current Literature by a Systematic Review.

Authors:  Hassanin Alkaduhimi; James W Connelly; Derek F P van Deurzen; Denise Eygendaal; Michel P J van den Bekerom
Journal:  Arthrosc Sports Med Rehabil       Date:  2021-04-06
  2 in total

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