Arthroscopic Repair of Large and Massive Tears in Rotator Cuff and its Consequences: a Longitudinal Retrospective Analysis Conducted in a Retrospective Manner

التفاصيل البيبلوغرافية
العنوان: Arthroscopic Repair of Large and Massive Tears in Rotator Cuff and its Consequences: a Longitudinal Retrospective Analysis Conducted in a Retrospective Manner
المؤلفون: Akbar Ali, Basit Mukhtar, Arsalan Riaz, Muhammad Farhan Farhat, Sayed Najmul Hassan, Asfandyar Khan
المصدر: Pakistan Journal of Medical and Health Sciences. 16:639-641
بيانات النشر: Lahore Medical and Dental College, 2022.
سنة النشر: 2022
الوصف: Aim: Assessment of the consequences of arthroscopic repair of large and massive rotator cuffs. Study design: Retrospective analysis Place and duration: This study was conducted at Shaheed Zulifqar Ali Bhutto Medical University/PIMS Islamabad Pakistan from August 2020 to August 2021. Methodology: In the current study, 50 patients were included out of which 37 patients had large tears and 13 had massive tears which were repaired arthroscopically. Average follow up was of 32 months. Modified UCLA shoulder rating scale was used to evaluate the function, strength, range of motion and the pain before and after surgery. Results: Among the included 50 patients, 21 patients were female, and 29 were male. The range of their ages was between 41 and 76 years. The dominant extremity was affected in majority of patients. The average preoperative time of patients was 10 months. According to UCLA, 98% patients experienced satisfactory results, and only 1 patient had to undergo second surgery for the repair. Conclusion: The study concluded that arthroscopic repair of tears in rotator cuffs is the best technique which can be used for repairing large and massive tears in rotator cuff. Keywords: tears, outcome, arthroscopy, rotator cuff
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::17ab34e17734bdcbe573a73dc9308877
https://doi.org/10.53350/pjmhs22161639
رقم الأكسشن: edsair.doi...........17ab34e17734bdcbe573a73dc9308877
قاعدة البيانات: OpenAIRE