Factors Influencing Outcome After Shoulder Arthroplasty (FINOSA Study): Protocol of a Prospective Longitudinal Study With Randomized Group Allocation.

IF 1.4 Q3 HEALTH CARE SCIENCES & SERVICES JMIR Research Protocols Pub Date : 2024-11-18 DOI:10.2196/56522
Anke Claes, Annelien De Mesel, Thomas Struyf, Olivier Verborgt, Filip Struyf
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Abstract

Background: There is an increasing need for evidence-based postoperative rehabilitation strategies to optimize patient outcome. Knowledge of potential prognostic factors could steer the development of rehabilitation protocols and could result in better treatment outcomes and higher patient satisfaction.

Objective: This study aimed to investigate which potential prognostic factors predict baseline shoulder pain and function and its evolution in the first 2 years following surgery, in patients with total shoulder arthroplasty. The secondary objective is to investigate which potential prognostic factors predict baseline quality of life and its evolution in the first two years following surgery.

Methods: To reach the aims of this project, a prospective longitudinal study, running from January 2020 to March 2025, will be carried out with a follow-up of 48 months. Patients will be randomized based on sling wear. We will study factors such as shoulder function, patient expectations, psychosocial factors, lifestyle factors, sling wear, soft tissue integrity, and physiotherapy treatment. Test moments will take place preoperatively, at 6 weeks, 12 weeks, 6 months, 12 months, and 24 months. Descriptive statistics will be used to describe the patient population characteristics. Based on literature review, expert opinion, and univariate analyses, potential prognostic factors will be chosen as covariates. A mixed regression model for repeated measures will be used to assess both the evolution of the Shoulder Pain and Disability Index within persons from baseline over time and the differences in evolution between participants. Correlation analyses will be used to investigate associations between the other outcome measures such as the Constant and Murley Score, shoulder range of motion, shoulder muscle strength, and proprioception, and the primary outcome measure, the Shoulder Pain and Disability Index score. Potential prognostic factors not included in the model will be presented in a descriptive manner.

Results: Data collection started in January 2020. In April 2023 the sample size was reached. Data collection will end in April 2025. Analyses will follow when data collection is completed.

Conclusions: Knowledge of potential prognostic factors will have implications toward better rehabilitation strategies of patients after total shoulder arthroplasty.

Trial registration: ClinicalTrials.gov NCT04258267; https://clinicaltrials.gov/study/NCT04258267.

International registered report identifier (irrid): DERR1-10.2196/56522.

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影响肩关节置换术后效果的因素(FINOSA 研究):随机分组的前瞻性纵向研究方案。
背景:现在越来越需要以证据为基础的术后康复策略来优化患者的预后。对潜在预后因素的了解可指导康复方案的制定,并可获得更好的治疗效果和更高的患者满意度:本研究旨在调查哪些潜在预后因素可预测全肩关节置换术患者的肩部疼痛和功能基线及其术后头两年的变化。次要目标是研究哪些潜在预后因素可预测基线生活质量及其在术后头两年的变化:为实现本项目的目标,将在 2020 年 1 月至 2025 年 3 月期间开展一项为期 48 个月的前瞻性纵向研究。患者将根据穿戴吊衣的情况进行随机分组。我们将研究肩关节功能、患者期望、社会心理因素、生活方式因素、吊衣磨损、软组织完整性和理疗治疗等因素。测试时刻将在术前、6 周、12 周、6 个月、12 个月和 24 个月时进行。将使用描述性统计来描述患者群体的特征。根据文献综述、专家意见和单变量分析,选择潜在的预后因素作为协变量。将使用重复测量的混合回归模型来评估肩痛和肩周炎指数从基线开始随时间推移的变化情况,以及参与者之间的变化差异。相关性分析将用于研究其他结果测量(如康斯坦茨和默里评分、肩部活动范围、肩部肌肉力量和本体感觉)与主要结果测量(肩痛和残疾指数评分)之间的关联。未纳入模型的潜在预后因素将以描述性方式呈现:数据收集始于 2020 年 1 月。2023 年 4 月达到样本量。数据收集工作将于 2025 年 4 月结束。数据收集完成后将进行分析:了解潜在的预后因素将有助于改善全肩关节置换术后患者的康复策略:试验注册:ClinicalTrials.gov NCT04258267;https://clinicaltrials.gov/study/NCT04258267.International 注册报告标识符 (irrid):DERR1-10.2196/56522。
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CiteScore
2.40
自引率
5.90%
发文量
414
审稿时长
12 weeks
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