Dataset Information

Complete Repair of Massive, Retracted, and "Non-Repairable" Tears of the Rotator Cuff: The Anatomic Vector Repair.

ABSTRACT: Massive and retracted tears of the supraspinatus and infraspinatus tendons of the rotator cuff are associated with great pain and disability and may be considered "non-repairable," depending on the extent of injury and the experience of the treating clinician. The technique of anatomic vector repair of the rotator cuff is a surgical treatment method that enables the surgeon to accurately characterize the injury pattern and successfully repair many of these debilitating injuries anatomically in a stepwise manner, often in cases that would have otherwise been treated with a less preferable surgical procedure that does not restore native anatomy.

SUBMITTER: Whyte GP

PROVIDER: S-EPMC7093733 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Complete Repair of Massive, Retracted, and "Non-Repairable" Tears of the Rotator Cuff: The Anatomic Vector Repair.

Whyte Graeme P GP

Arthroscopy techniques 20200214 3

Massive and retracted tears of the supraspinatus and infraspinatus tendons of the rotator cuff are associated with great pain and disability and may be considered "non-repairable," depending on the extent of injury and the experience of the treating clinician. The technique of anatomic vector repair of the rotator cuff is a surgical treatment method that enables the surgeon to accurately characterize the injury pattern and successfully repair many of these debilitating injuries anatomically in a ...[more]

PMID: 32226743

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Project description:PurposeTo determine the significance of initial and residual rotator cuff tear defect size on the need for revision surgery or additional nonsurgical therapy, in a consecutive group of patients undergoing partial repair of massive rotator cuff tears.MethodsA retrospective chart review was carried out for all arthroscopic rotator cuff repairs performed by a single surgeon between January of 2013 and December of 2016. All patients with massive rotator cuff tears (>30 cm2) who underwent partial repair were included in the study. Outcomes for the surgical procedure were measured based on the necessity for revision surgery or adjunct therapy, including steroid injections or additional physical therapy after initial release from care.ResultsIn total, 1954 patients who underwent arthroscopic rotator cuff repair were identified. Thirty-eight of these met the inclusion criteria. Those patients undergoing revision surgery represented 5.2% (2/38) of the series and had an average initial/residual tear defect area of 45.0/7.0 cm2. Patients requiring adjunct therapy represented 7.9% (3/38) of the series and possessed an average initial/residual tear defect size of 40.0/16.0 cm2. The remaining 33 (86.9%) patients did not require revision surgery or adjunct therapy at a minimum follow-up of 2 years. There was no significance between initial and/or residual rotator cuff tear defect size and the need for revision surgery. However, there was a significant difference in the mean residual defect size in the patients requiring additional nonoperative treatment after initial release from care (P = .012).ConclusionsThere was no relationship between residual defect size after partial repair and the need for revision surgery. Patients who returned for additional nonoperative treatment after being released from care were noted to have a statistically larger residual defect size at the time of index surgical intervention. Only 5% of patients underwent subsequent surgery at an average of more than 4 years' follow-up, suggesting that partial repair of massive rotator cuff tears can provide a durable, joint-preserving intervention.Level of evidenceLevel IV, Therapeutic Case Series.

Dataset Information

Complete Repair of Massive, Retracted, and "Non-Repairable" Tears of the Rotator Cuff: The Anatomic Vector Repair.

Publications

Complete Repair of Massive, Retracted, and "Non-Repairable" Tears of the Rotator Cuff: The Anatomic Vector Repair.

Similar Datasets

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