Predictors of Readmission and Reoperation Following Shoulder Arthroplasty in Patients Under 45 Years of Age.

IF 0.8 Q4 SURGERY
Luke C Zappia, Junho Song, Austen D Katz, Nicholas Sgaglione
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引用次数: 0

Abstract

Background: The use of shoulder arthroplasty has increased among all age groups, albeit most prominently in older patients. While previous studies have investigated predictors of short-term readmission and reoperation in the general population, there is a paucity of literature available on these in patients under 45 years of age. This study aimed to identify the predictors of 30-day readmission and reoperation following shoulder arthroplasty in patients under 45 years of age.

Methods: A retrospective query in the American College of Surgeons National Surgical Quality Improvement Program database from 2011 to 2019 was used to identify patients who underwent primary reverse and anatomic total shoulder arthroplasty and hemiarthroplasty. Multivariate logistic regression was used to identify predictors of 30-day readmission and reoperation.

Results: A total of 530 patients were included. Multivariate regression revealed that Black race and Hispanic ethnicity were independent predictors of readmission. Functional dependence, hypertension requiring medication, and prolonged length of stay predicted reoperation. Finally, low hematocrit and prolonged length of stay predicted morbidity.

Discussion: Identifying and accounting for these risk factors for poor outcomes may help improve perioperative risk stratification. As a result, these findings have the potential to reduce healthcare costs associated with readmission and reoperation following shoulder arthroplasty in young patients. Our results also highlight the underlying disparities in healthcare outcomes among racial and ethnic groups that must be considered.

45岁以下患者肩关节置换术后翻修和再手术的预测因素。
背景:肩关节置换术的使用在所有年龄组中都有所增加,尽管在老年患者中最为突出。虽然之前的研究已经调查了普通人群中短期再入院和再次手术的预测因素,但在45岁以下的患者中,关于这些因素的文献很少。本研究旨在确定45岁以下患者肩关节置换术后30天再次入院和再次手术的预测因素。方法:使用美国外科医生学会国家外科质量改进计划数据库中2011年至2019年的回顾性查询,确定接受初级反向和解剖型全肩关节置换术和半关节置换术的患者。多变量逻辑回归用于确定30天再次入院和再次手术的预测因素。结果:共纳入530例患者。多元回归显示,黑人和西班牙裔是再次入院的独立预测因素。功能依赖、高血压需要药物治疗和住院时间延长可预测再次手术。最后,低血细胞压积和延长住院时间可预测发病率。讨论:识别和解释这些不良结果的风险因素可能有助于改善围手术期的风险分层。因此,这些发现有可能降低年轻患者肩关节置换术后再次入院和再次手术的医疗费用。我们的研究结果还强调了必须考虑的种族和族裔群体在医疗保健结果方面的潜在差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.00
自引率
0.00%
发文量
141
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