Department of Orthopaedic Surgery, Singapore General Hospital, 20 College Rd, Academia Level 4, Singapore, Singapore.
Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
Musculoskelet Surg. 2023 Sep;107(3):287-294. doi: 10.1007/s12306-022-00753-y. Epub 2022 Jul 7.
The demographics and co-morbidities of individuals may impact healthcare consumption, but it is less understood how premorbid physical and mental function may influence these effects. The aim of this study is to determine patient's pre-fracture quality of life and mobility affect acute hospital burden in the management of hip fracture, using length of stay (LOS) as a proxy for healthcare resource.
This is a retrospective study which investigated hip fracture patients who underwent surgery over the period of 2017-2020. Variables collected include LOS, age, gender, race, marital status, payer type, ASA score, time to surgery (TTS), type of surgery, fracture type, POD1 mobilization, discharge disposition, pre-fracture SF-36, EQ-5D and Parker mobility score (PMS) based on patient's recollection on admission. These variables were correlated with LOS using binary logistic regression on SAS.
There were 1045 patients, and mean age was 79.5 + 8.57 (range 60-105) years with an average LOS 13.64 + 10.0 days (range 2-114). On univariate analysis, PMS, EQ-5D and all domains of SF-36 except bodily pain (BP), emotional role and mental health were associated significantly with LOS. Amongst the QOL and PMS scores, only the domains of SF-36 Physical Function (PF) (OR = 0.993, p = 0.0068) and General Health perception (GH) (OR 0.992, p = 0.0230) remained significant on the multivariate model.
Our study showed that poor premorbid scores of SF36 PF and GH are independent factors associated with longer LOS in hip fracture patients after surgery, regardless of fracture type, age and ASA status. Hence, premorbid SF36 PF and GH can be used to identify patients that are at risk of prolonged hospital stay and employ targeted strategies to facilitate rehabilitation and discharge planning.
个体的人口统计学特征和合并症可能会影响医疗保健的消费,但人们对预先存在的身体和精神功能如何影响这些影响了解较少。本研究旨在确定患者骨折前的生活质量和活动能力是否会影响髋部骨折管理中的急性住院负担,使用住院时间 (LOS) 作为医疗资源的替代指标。
这是一项回顾性研究,调查了 2017 年至 2020 年间接受手术治疗的髋部骨折患者。收集的变量包括 LOS、年龄、性别、种族、婚姻状况、支付类型、ASA 评分、手术时间 (TTS)、手术类型、骨折类型、术后第 1 天 (POD1) 活动能力、出院去向、骨折前 SF-36、EQ-5D 和基于患者入院时回忆的帕克活动能力评分 (PMS)。使用 SAS 上的二元逻辑回归分析这些变量与 LOS 的相关性。
共有 1045 名患者,平均年龄为 79.5 + 8.57 岁(范围 60-105 岁),平均 LOS 为 13.64 + 10.0 天(范围 2-114 天)。在单变量分析中,PMS、EQ-5D 和 SF-36 的所有领域(除了身体疼痛 (BP)、情绪角色和心理健康)与 LOS 显著相关。在 QOL 和 PMS 评分中,只有 SF-36 生理功能 (PF) 领域 (OR = 0.993,p = 0.0068) 和总体健康感知 (GH) 领域 (OR 0.992,p = 0.0230) 在多变量模型中仍然具有统计学意义。
我们的研究表明,SF36 PF 和 GH 术前评分较差是与髋部骨折患者手术后 LOS 延长相关的独立因素,与骨折类型、年龄和 ASA 状态无关。因此,SF36 PF 和 GH 术前评分可用于识别有延长住院时间风险的患者,并采取有针对性的策略来促进康复和出院计划。