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初次髋关节或膝关节置换术后住院时间、出院去向和 30 天再入院率的相关因素:回顾性队列研究。

Factors associated with hospital stay length, discharge destination, and 30-day readmission rate after primary hip or knee arthroplasty: Retrospective Cohort Study.

机构信息

Service d'orthopédie et traumatologie, CHU Amiens-Picardie, 80054 Amiens cedex 1, France.

Université de Lille Nord de France, 59000 Lille, France; Service d'orthopédie, hôpital Salengro, CHRU de Lille, place de Verdun, 59037 Lille, France.

出版信息

Orthop Traumatol Surg Res. 2019 Sep;105(5):949-955. doi: 10.1016/j.otsr.2019.04.012. Epub 2019 Jun 15.

Abstract

BACKGROUND

In France and in the US, predictions for 2030 include an increased number of total hip arthroplasty (THA) and total knee arthroplasty (TKA) procedures together with an overall trend towards shorter hospital stays. Predictors of hospital length of stay (LOS) include the day of surgery, discharge destination, and patient comorbidities. Available data are conflicting, however, and to our knowledge predictors of LOS after THA or TKA have not been evaluated in France. Improved knowledge of these predictors would be expected to increase patient care efficiency. The objectives of this study were: (1) to determine whether the above-listed factors predict LOS after THA or TKA, (2) to identify predictors of discharge to a rehabilitation unit and of readmission within 30 days after surgery.

HYPOTHESIS

Both patient-related factors unamenable to modification and modifiable organisational factors are associated with LOS after THA or TKA.

MATERIAL AND METHODS

This large single-centre retrospective cohort study included all adults who underwent primary THA or TKA at our university hospital between 1 January 2015 and 31 December 2016. Non-inclusion criteria were revision arthroplasty, THA with femoral or acetabular reconstruction, TKA using a constrained hinged implant, and fracture as the reason for arthroplasty. Preoperative parameters, type of arthroplasty, and postoperative care were recorded.

RESULTS

We included 938 patients with THA and 725 patients with TKA. By multivariate analysis, the likelihood of being discharged by day 5 decreased with older age (HR, 0.986; 95%CI: 0.98-0.99) and was lower by 13% in females (HR, 0,871; 95%CI: 0.77-0.986), by 39% in patients with diabetes (HR, 0.606; 95%CI: 0.5-0.73), by 68% in patients discharged to rehabilitation units (HR, 0.322; 95%CI: 0.267-0.389), and by 27% in patients who had arthroplasty on a Friday (HR, 0.733; 95%CI: 0.631-0.852). Factors predicting discharge to rehabilitation unit were older age, female gender, chronic obstructive pulmonary disease, anxiety-depressive disorder, and a history of stroke. Risk factors for 30-day readmission were male gender, obesity, and discharge to rehabilitation unit.

DISCUSSION

In this study, predictors of LOS were identified using a survival model that considered age as a continuous variable, separate comorbidities, and the discharge destination. Our findings are consistent with earlier reports and confirm the strong associations linking LOS to diabetes, day of surgery, and discharge destination in France. We also identified predictors of discharge to rehabilitation and of readmission within 30 days.

LEVEL OF EVIDENCE

IV, retrospective observational cohort study.

摘要

背景

在法国和美国,预测 2030 年将会有更多的全髋关节置换术(THA)和全膝关节置换术(TKA)手术,并且整体趋势是住院时间缩短。住院时间长短(LOS)的预测因素包括手术日、出院目的地和患者合并症。然而,现有数据存在冲突,据我们所知,THA 或 TKA 后 LOS 的预测因素尚未在法国进行评估。更好地了解这些预测因素有望提高患者护理效率。本研究的目的是:(1)确定上述因素是否可预测 THA 或 TKA 后的 LOS;(2)确定预测出院至康复病房和术后 30 天内再入院的因素。

假设

不可改变的患者相关因素和可改变的组织因素都与 THA 或 TKA 后的 LOS 有关。

材料和方法

这是一项大型单中心回顾性队列研究,纳入了 2015 年 1 月 1 日至 2016 年 12 月 31 日期间在我院接受初次 THA 或 TKA 的所有成年人。排除标准为翻修关节置换术、THA 伴股骨或髋臼重建、TKA 使用约束铰链植入物以及骨折作为关节置换术的原因。记录术前参数、关节置换类型和术后护理情况。

结果

我们纳入了 938 例 THA 患者和 725 例 TKA 患者。多变量分析显示,年龄较大(HR,0.986;95%CI:0.98-0.99)和女性(HR,0.871;95%CI:0.77-0.986)的患者第 5 天出院的可能性降低,糖尿病(HR,0.606;95%CI:0.5-0.73)患者降低 39%,出院至康复病房(HR,0.322;95%CI:0.267-0.389)的患者降低 68%,周五进行关节置换术(HR,0.733;95%CI:0.631-0.852)的患者降低 27%。预测出院至康复病房的因素为年龄较大、女性、慢性阻塞性肺疾病、焦虑抑郁障碍和中风史。30 天内再入院的危险因素为男性、肥胖和出院至康复病房。

讨论

在这项研究中,使用生存模型确定了 LOS 的预测因素,该模型考虑了年龄作为连续变量、单独的合并症和出院目的地。我们的发现与早期报告一致,并证实了 LOS 与糖尿病、手术日和法国出院目的地之间的强关联。我们还确定了预测出院至康复病房和 30 天内再入院的因素。

证据水平

IV,回顾性观察队列研究。

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