Department of Orthopedic Surgery, NYU Langone Health, New York, New York.
J Arthroplasty. 2023 Sep;38(9):1658-1662. doi: 10.1016/j.arth.2023.04.056. Epub 2023 Apr 30.
Removal of total knee arthroplasty (TKA) from the inpatient only list has led to a greater focus on outpatient (OP) procedures. However, the impact of OP-centered models in at-risk patients is unclear. Therefore, the current analysis investigated the effect of conversion from OP to inpatient (IP) status on postoperative outcomes and determined which factors put patients at risk for status change postoperatively.
We retrospectively reviewed all patients who underwent a primary TKA at our institution between January 2, 2018, and April 26, 2022. All patients included were originally scheduled for OP surgery and were separated based on conversion to IP status postoperatively. Multiple regression analyses were used to determine the significance of all perioperative variables. Modeling via binary logistic regressions was used to determine factors predictive of status conversion.
Of the 2,313 patients originally designated for OP TKA, 627 (27.1%) required a stay of 2 midnights or longer. Patients in the IP group had significantly higher facility discharge rates (P < .001) compared to the OP group. Factors predictive of conversion included age of 65 years and older (P < .001), women (P < .001), arriving at the postanesthesia care unit after 12 pm (P < .001), body mass index greater than 30 (P = .004), and Charlson Comorbidity Index of 4 and higher (P = .004). Being the first case of the day (P < .001) and being married (P < .001) were both protective against conversion.
Certain intrinsic patient factors may predispose a patient to an IP stay, and an understanding of predisposing factors which could lead to IP conversion may improve perioperative planning moving forward.
全膝关节置换术(TKA)从仅限住院患者转为门诊(OP)手术,这使得 OP 手术受到了更多关注。然而,OP 为中心的模式在高危患者中的影响尚不清楚。因此,目前的分析研究了从 OP 转为住院(IP)状态对术后结果的影响,并确定了哪些因素使患者在术后有状态改变的风险。
我们回顾性分析了 2018 年 1 月 2 日至 2022 年 4 月 26 日期间在我院接受初次 TKA 的所有患者。所有纳入的患者最初都计划进行 OP 手术,并根据术后是否转为 IP 状态进行分组。多元回归分析用于确定所有围手术期变量的意义。通过二项逻辑回归模型确定状态转换的预测因素。
在最初计划进行 OP TKA 的 2313 名患者中,有 627 名(27.1%)需要住院 2 个或以上的夜间。与 OP 组相比,IP 组的患者出院率显著更高(P <.001)。预测转换的因素包括年龄 65 岁及以上(P <.001)、女性(P <.001)、在 12 点后到达麻醉后护理病房(P <.001)、体重指数大于 30(P =.004)和 Charlson 合并症指数为 4 或更高(P =.004)。当天第一例手术(P <.001)和已婚(P <.001)均能降低转换的风险。
某些内在的患者因素可能使患者有住院的倾向,了解可能导致 IP 转换的易患因素可能会改善未来的围手术期规划。