Clinical outcomes validate the RAND/UCLA appropriateness criteria algorithm for anatomical total shoulder arthroplasty for streamlining the clinical decision-making process.

IF 4.9 1区 医学 Q1 ORTHOPEDICS
Krishna Mandalia, Stephen Le Breton, Christopher Roche, Sarav S Shah
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引用次数: 0

Abstract

Aims: A recent study used the RAND Corporation at University of California, Los Angeles (RAND/UCLA) method to develop anatomical total shoulder arthroplasty (aTSA) appropriateness criteria. The purpose of our study was to determine how patient-reported outcome measures (PROMs) vary based on appropriateness.

Methods: Clinical data from a multicentre database identified patients who underwent primary aTSA from November 2004 to January 2023. A total of 390 patients (mean follow-up 48.1 months (SD 42.0)) were included: 97 (24.9%) were classified as appropriate, 218 (55.9%) inconclusive, and 75 (19.2%) inappropriate. Patients were classified as "appropriate", "inconclusive", or "inappropriate", using a modified version of an appropriateness algorithm, which accounted for age, rotator cuff status, mobility, symptomatology, and Walch classification. Multiple pre- and postoperative scores were analyzed using Pearson's chi-squared test and one-way analysis of variance (ANOVA). Postoperative complications were also analyzed.

Results: All groups achieved significant improvement in mean PROM scores postoperatively. "Appropriate" patients experienced significantly greater improvement in visual analogue scale (VAS) and American Shoulder and Elbow Surgeons (ASES) score compared to "inconclusive" and "inappropriate". The appropriate group had a significantly greater proportion of patients who achieved minimal clinically important difference (MCID) (95.8%; n = 93) and substantial clinical benefit (SCB) (92.6%; n = 89). Overall, 13 patients had postoperative complications. No significant differences in postoperative complications among classifications were found.

Conclusion: Our data clinically validate the RAND/UCLA aTSA appropriateness criteria algorithm, allowing for more rapid and reliable determination of aTSA candidacy. "Appropriate" patients were more likely to achieve MCID and SCB for ASES scores compared to "inappropriate" patients. Among "appropriate" patients who did not achieve SCB, 50% (n = 4) had a postoperative complication. There was a significantly higher proportion of postoperative complications among those who did not achieve SCB across all three groups. Only 7.1% (n = 1) of patients who did not achieve SCB in the inappropriate group had a postoperative complication. Thus, it can be inferred that the failure to reach SCB in the appropriate group was likely to be due to a postoperative complication, whereas for patients deemed "inappropriate", failure to reach SCB may be secondary to factors accounted for within our algorithm.

临床结果验证了RAND/UCLA在解剖全肩关节置换术中的适当性标准算法,以简化临床决策过程。
目的:最近的一项研究使用了加州大学洛杉矶分校兰德公司(RAND/UCLA)的方法来制定解剖性全肩关节置换术(aTSA)适当性标准。我们研究的目的是确定患者报告的结果测量(PROMs)如何根据适当性而变化。方法:来自多中心数据库的临床数据确定了2004年11月至2023年1月期间接受原发性aTSA的患者。共纳入390例患者(平均随访48.1个月(SD 42.0)): 97例(24.9%)为适宜,218例(55.9%)为不确定,75例(19.2%)为不适宜。患者被分为“合适”、“不确定”和“不合适”,使用了一种改良版的合适算法,考虑了年龄、肩袖状态、活动度、症状和Walch分类。采用Pearson卡方检验和单因素方差分析(ANOVA)对多项术前和术后评分进行分析。并对术后并发症进行分析。结果:各组术后PROM平均评分均有明显改善。与“不确定”和“不适当”的患者相比,“适当”患者在视觉模拟评分(VAS)和美国肩肘外科医生(ASES)评分方面的改善明显更大。适当组达到最小临床重要差异(MCID)的患者比例显著更高(95.8%;n = 93)和实质性临床获益(SCB) (92.6%;N = 89)。总体而言,13例患者出现术后并发症。不同类型患者术后并发症发生率无显著差异。结论:我们的数据在临床上验证了RAND/UCLA的aTSA合适性标准算法,可以更快速、更可靠地确定aTSA候选性。与“不适当”患者相比,“适当”患者更有可能达到MCID和SCB的ASES评分。在没有达到SCB的“合适”患者中,50% (n = 4)出现了术后并发症。在所有三组中,未达到SCB的患者术后并发症的比例明显更高。在不合适的组中,未达到SCB的患者中只有7.1% (n = 1)出现了术后并发症。因此,可以推断,在合适的组中,未能达到SCB可能是由于术后并发症,而对于被认为“不合适”的患者,未能达到SCB可能是次要的,我们的算法中考虑的因素。
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来源期刊
Bone & Joint Journal
Bone & Joint Journal ORTHOPEDICS-SURGERY
CiteScore
9.40
自引率
10.90%
发文量
318
期刊介绍: We welcome original articles from any part of the world. The papers are assessed by members of the Editorial Board and our international panel of expert reviewers, then either accepted for publication or rejected by the Editor. We receive over 2000 submissions each year and accept about 250 for publication, many after revisions recommended by the reviewers, editors or statistical advisers. A decision usually takes between six and eight weeks. Each paper is assessed by two reviewers with a special interest in the subject covered by the paper, and also by members of the editorial team. Controversial papers will be discussed at a full meeting of the Editorial Board. Publication is between four and six months after acceptance.
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