Clinical outcomes and complications of cementless reverse total shoulder arthroplasty during the early learning curve period

Clinical outcomes and complications of cementless reverse total shoulder arthroplasty during the early learning curve period
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DOI:
10.1186/s13018-019-1077-1
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发表时间:
2019-02-18
影响因子:
2.6
通讯作者:
Kang, Hyunseong
Kang, Hyunseong
中科院分区:
医学3区
文献类型:
--
作者:
Choi, Sungwook;Bae, Jong-Hwan;Kang, Hyunseong

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背景:逆行全肩关节置换术(RTSA)是治疗严重骨关节炎、肩袖关节病或大量肩袖撕裂并假性瘫痪患者的一种选择。我们不仅要推断非骨水泥RTSA在学习曲线期的早期功能结果和并发症,而且还要推演RTSA基于并发症和基于手术时间的学习曲线。方法:从2010年3月至2014年2月,我们对38个肩关节(男6,女32)进行了回顾性评估。平均年龄73.0岁(63~83岁),平均随访24个月(12~53个月)。采用视觉模拟评分(VAS)、加州大学洛杉矶分校(UCLA)评分和常量评分评价临床疗效。我们在2周、3个月、6个月、1年,然后每年对患者进行放射学评估,以寻找任何并发症的证据。结果:视觉模拟评分从4.0分改善到2.8分(p=0.013)。UCLA评分从16.0分提高到27.9分(p=0.002),常量分从41.4分提高到78.9分(p<0.001),差异有统计学意义。而主动前屈、外展和内旋得到改善(p值=0.001,
Background: Reverse total shoulder arthroplasty (RTSA) is a treatment option for patients with severe osteoarthritis, rotator cuff arthropathy, or massive rotator cuff tear with pseudoparalysis. We are to deduce not only the early functional outcomes and complications of cementless RTSA during the learning curve period but also complication-based, and operation time-based learning curve of RTSA.Methods: Between March 2010 and February 2014, we retrospectively evaluated 38 shoulders (6 male, 32 female). The average age of the patients was 73.0 years (range, 63 to 83 years), and the average follow-up was at 24 months (range, 12-53 months). The visual analog scale (VAS), University of California Los Angeles (UCLA) score and constant score were used to evaluate the clinical outcomes. We evaluated patients radiographically at 2 weeks, 3 months, 6 months, 1 year, and then annually thereafter for any evidence of complications.Results: The VAS score improved from 4.0 to 2.8 (p = 0.013). The UCLA score improved from 16.0 to 27.9 (p = 0.002), and the constant score improved from 41.4 to 78.9 (p < 0.001), which were statistically significant. While active forward flexion, abduction, and internal rotation improved (p value = 0.001,