Predictive Modeling of Medical- and Orthopaedic-Related 90-Day Readmissions Following Primary Total Hip Arthroplasty

IF 3.8 2区 医学 Q1 ORTHOPEDICS Journal of Arthroplasty Pub Date : 2024-11-01 Epub Date: 2024-05-24 DOI:10.1016/j.arth.2024.05.058
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Abstract

Background

The rate of unplanned hospital readmissions following total hip arthroplasty (THA) varies from 3 to 10%, representing a major economic burden. However, it is unknown if specific factors are associated with different types of complications (ie, medical or orthopaedic-related) that lead to readmissions. Therefore, this study aimed to: (1) determine the overall, medical-related, and orthopaedic-related 90-day readmission rate; and (2) develop a predictive model for risk factors affecting overall, medical-related, and orthopaedic-related 90-day readmissions following THA.

Methods

A prospective cohort of primary unilateral THAs performed at a large tertiary academic center in the United States from 2016 to 2020 was included (n = 8,893 patients) using a validated institutional data collection system. Orthopaedic-related readmissions were specific complications affecting the prosthesis, joint, and surgical wound. Medical readmissions were due to any other cause requiring medical management. Multivariable logistic regression models were used to investigate associations between prespecified risk factors and 90-day readmissions, as well as medical and orthopaedic-related readmissions independently.

Results

Overall, the rate of 90-day readmissions was 5.6%. Medical readmissions (4.2%) were found to be more prevalent than orthopaedic-related readmissions (1.4%). The area under the curve for the 90-day readmission model was 0.71 (95% confidence interval: 0.69 to 0.74). Factors significantly associated with medical-related readmissions were advanced age, Black race, education, Charlson Comorbidity Index, surgical approach, opioid overdose risk score, and nonhome discharge. In contrast, risk factors linked to orthopaedic-related readmissions encompassed body mass index, patient-reported outcome measure phenotype, nonosteoarthritis indication, opioid overdose risk, and nonhome discharge.

Conclusions

Of the overall 90-day readmissions following primary THA, 75% were due to medical-related complications. Our successful predictive model for complication-specific 90-day readmissions highlights how different risk factors may disproportionately influence medical versus orthopaedic-related readmissions, suggesting that patient-specific, tailored preventive measures could reduce postoperative readmissions in the current value-based health care setting.
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初级全髋关节置换术后医疗和矫形相关 90 天再住院预测模型
背景全髋关节置换术(THA)后非计划再入院率从 3% 到 10% 不等,造成了巨大的经济负担。然而,导致再入院的不同类型并发症(即内科或骨科相关并发症)是否与特定因素相关尚不清楚。因此,本研究旨在(1) 确定总体、医疗相关和矫形相关的 90 天再入院率;(2) 针对影响 THA 术后总体、医疗相关和矫形相关 90 天再入院率的风险因素建立一个预测模型。方法:使用经过验证的机构数据收集系统,纳入 2016 年至 2020 年期间在美国一家大型三级学术中心进行的初级单侧 THA 的前瞻性队列(n = 8893 例患者)。骨科相关再入院指的是影响假体、关节和手术伤口的特定并发症。医疗相关再入院指的是由于任何其他需要医疗管理的原因造成的再入院。多变量逻辑回归模型用于研究预设风险因素与90天再入院率之间的关系,以及医疗和矫形相关再入院率之间的独立关系。医疗相关再入院率(4.2%)高于骨科相关再入院率(1.4%)。90天再入院模型的曲线下面积为0.71(95%置信区间:0.69至0.74)。与内科相关再入院明显相关的因素包括高龄、黑人、教育程度、查尔森综合指数、手术方式、阿片类药物过量风险评分和非家庭出院。相比之下,与骨科相关的再入院风险因素包括体重指数、患者报告的结果测量表型、非关节炎适应症、阿片类药物过量风险和非居家出院。我们成功建立的并发症特异性 90 天再入院预测模型强调了不同的风险因素是如何不成比例地影响内科相关再入院率和骨科相关再入院率的,这表明在当前以价值为基础的医疗保健环境中,针对患者的定制化预防措施可以减少术后再入院率。
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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来源期刊
Journal of Arthroplasty
Journal of Arthroplasty 医学-整形外科
CiteScore
7.00
自引率
20.00%
发文量
734
审稿时长
48 days
期刊介绍: The Journal of Arthroplasty brings together the clinical and scientific foundations for joint replacement. This peer-reviewed journal publishes original research and manuscripts of the highest quality from all areas relating to joint replacement or the treatment of its complications, including those dealing with clinical series and experience, prosthetic design, biomechanics, biomaterials, metallurgy, biologic response to arthroplasty materials in vivo and in vitro.
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