What question did this study set out to answer?

To establish and evaluate a simplified predictive scoring system based on anatomic imaging measurements to identify patients at risk of recurrent shoulder instability after primary arthroscopic capsulolabral repair.

January 8, 2020Arthroscopy The Journal of Arthroscopic and Related Surgery

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

View Full Paper

Ask AI

Bookmark

Authors

EYEdward H. YianColorado Permanente Medical Group MWMichael WeathersKaiser Permanente JKJonathan R. KnottUtah State University

Discussion

Member takes

Implication

Retrospective cohort study reveals bone loss and tracking lesions drive recurrent instability after Bankart repair, highlighting a predictive scoring tool for surgical failure.

Key Points

To establish and evaluate a simplified predictive scoring system based on anatomic imaging measurements to identify patients at risk of recurrent shoulder instability after primary arthroscopic capsulolabral repair.
Retrospective cohort study of 540 patients undergoing primary arthroscopic anterior capsulolabral repair, with clinical follow-up and MRI data available for 337 shoulders.
Patients were evaluated at an average follow-up of 6.2 years (range 3.4–9.3 years) for recurrent instability and return to pre-injury activity.
Univariate and multivariable logistic regression analyses evaluated risk factors including age, sex, sports participation, glenoid bone loss, intact anterior articular arc (IAAA), and glenohumeral tracking.
Symptomatic recurrent instability occurred in 30.3% of shoulders (102/337), and 68% of contacted patients returned to pre-injury activities.
Independent predictors of recurrent instability on multivariable analysis were glenoid bone loss ≥10% (OR 7.47), IAAA <150° (OR 3.90), off-track glenoid lesions (OR 2.86), and age <21 years (OR 2.37).
A weighted scoring system (1 point for age <21, 1 point for off-track lesions, 2 points for IAAA <150°, and 4 points for bone loss ≥10%) achieved 79% sensitivity, 75% specificity, 58% PPV, and 89% NPV using a failure threshold above 2 points.

Cite This Study

Yian et al. (2020) studied this question.

synapsesocial.com/papers/6aa7237bcd36d0f46f00a642 https://doi.org/10.1016/j.arthro.2019.11.109

View Full Paper

Ask AI

Bookmark

Implication

Retrospective cohort study reveals bone loss and tracking lesions drive recurrent instability after Bankart repair, highlighting a predictive scoring tool for surgical failure.

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

Discussion

Member takes

Implication

Key Points

Cite This Study

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

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider