Suppr超能文献

与新冠病毒疾病相关的肩袖修复延迟

COVID-19-related rotator cuff repair delay.

作者信息

Smith Karch M, Wheelwright J Cade, Christensen Garrett V, Ishikawa Hiroaki, Tashjian Robert Z, Chalmers Peter N

机构信息

Department of Orthopaedic Surgery, University of Utah, Salt Lake City, UT, USA.

Department of Orthopaedic Surgery, University of Iowa, Iowa City, IA, USA.

出版信息

JSES Int. 2022 Jan;6(1):79-83. doi: 10.1016/j.jseint.2021.09.003. Epub 2021 Oct 22.

Abstract

BACKGROUND

Although nonoperative treatment is effective for degenerative rotator cuff tears (RCTs), it remains unclear whether the delay created by a trial of nonoperative treatment negatively influences the outcome of a subsequent surgical repair. In March 2020, the COVID-19 pandemic resulted in an involuntary delay in the surgical treatment of rotator cuff disease, creating a natural experiment. The purpose of this study was to evaluate the outcomes and healing of patients who underwent delayed surgical treatment of chronic degenerative RCTs as compared with the nondelayed surgical treatment of RCTs.

METHODS

This was a prospective study of two groups: patients planned to undergo arthroscopic rotator cuff repair between March 16, 2020 and May 1, 2020-the end of the ban on elective surgery-and patients who underwent rotator cuff repair starting six weeks after the ban on elective surgery had been lifted. Preoperatively and at six months postoperatively, we collected the Simple Shoulder Test, the American Shoulder and Elbow Surgeons (ASES) score, and the visual analog scale for pain. We also obtained magnetic resonance imaging (MRI) at six months postoperatively. A power analysis was conducted, and assuming a mean ± standard deviation ASES score of 93.1 ± 13.9 points and a minimum clinically important difference in the ASES score of 27.1 points, 7 patients per group (14 patients in total) would be necessary to have 90% chance of finding a difference.

RESULTS

We included 15 patients within each group and obtained 100% follow-up at six months. In the delay group, the mean ± standard deviation delay was 63 ± 24 days. There were no significant preoperative differences between groups in demographics or tear characteristics. Intraoperatively, there were no differences between groups in repair characteristics. Using a repeated-measures analysis of variance, there were significant preoperative vs. postoperative differences in ASES scores ( < .001), visual analog scale scores ( < .001), and Simple Shoulder Test scores ( < .001), but no differences between groups ( = .910, .519, and 0.852, respectively). On MRI, within the delay group, 58% had healed, whereas within the control group, 85% had healed ( = .202).

CONCLUSION

COVID-19 caused a two-month delay in the operative treatment of RCTs. This delay did not significantly alter patient-reported outcomes. This delay resulted in a 27% difference in MRI healing rates, which was not statistically significant in this small study. Larger studies should be conducted as our results suggest that a delay in treatment may negatively impact healing rates.

摘要

背景

尽管非手术治疗对退行性肩袖撕裂(RCT)有效,但尚不清楚非手术治疗试验所造成的延迟是否会对后续手术修复的结果产生负面影响。2020年3月,新型冠状病毒肺炎(COVID-19)大流行导致肩袖疾病的手术治疗被迫延迟,从而产生了一项自然实验。本研究的目的是评估慢性退行性RCT延迟手术治疗患者与非延迟手术治疗患者的疗效及愈合情况。

方法

这是一项对两组患者的前瞻性研究:计划在2020年3月16日至2020年5月1日(择期手术禁令结束)期间接受关节镜下肩袖修复的患者,以及在择期手术禁令解除六周后开始接受肩袖修复的患者。术前及术后六个月,我们收集了简易肩关节测试、美国肩肘外科医师学会(ASES)评分以及疼痛视觉模拟量表。我们还在术后六个月获得了磁共振成像(MRI)。进行了功效分析,假设ASES评分的均值±标准差为93.1±13.9分,ASES评分的最小临床重要差异为27.1分,每组7例患者(共14例患者)才有90%的机会发现差异。

结果

我们在每组纳入了15例患者,并在六个月时获得了100%的随访。在延迟组中,平均±标准差延迟时间为63±24天。两组在人口统计学或撕裂特征方面术前无显著差异。术中,两组在修复特征方面无差异。使用重复测量方差分析,术前与术后ASES评分(<.001)、视觉模拟量表评分(<.001)和简易肩关节测试评分(<.001)存在显著差异,但两组之间无差异(分别为.910、.519和0.852)。在MRI上,延迟组中58%的患者已愈合,而对照组中85%的患者已愈合(=.202)。

结论

COVID-19导致RCT手术治疗延迟两个月。这种延迟并未显著改变患者报告的结果。这种延迟导致MRI愈合率相差27%,在这项小型研究中无统计学意义。鉴于我们的结果表明治疗延迟可能对愈合率产生负面影响,因此应开展更大规模的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5e4/8811362/865e6f36293b/gr1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验