Whitten Tara A, Loyola Sanchez Adalberto, Gyawali Bina, Papathanassoglou Elisavet D E, Bakal Jeffrey A, Krysa Jacqueline A
Alberta Strategy for Patient Oriented Research Support Unit (AbSPORU) Data Platform, Alberta Health Services, Calgary, Canada.
Division of Physical Medicine and Rehabilitation, University of Alberta, Edmonton, Canada.
J Spinal Cord Med. 2024 Mar 11:1-11. doi: 10.1080/10790268.2024.2325165.
Most post-injury traumatic spinal cord injury (TSCI) care occurs in the inpatient rehabilitation setting. The inpatient rehabilitation length of stay (R-LOS) has been shown to be a significant predictor of motor function restoration in persons with TSCI. Due to the complexity, and heterogeneity of individuals with TSCI, the R-LOS is challenging to predict at admission.
To identify the main predictors of R-LOS and derive an equation to estimate R-LOS in persons with TSCI.
This is a retrospective analysis of data from adults with TSCI from The Rick Hansen Spinal Cord Injury Registry in Alberta, Canada, who received rehabilitation care between May 10, 2005, and January 28, 2020. Multiple linear regression analysis was used to determine significant relationships between R-LOS and measures of participant demographics, length of stay, impairment and injury classification, and comorbidities.
The analysis included 736 adults with TSCI from an eligible cohort of 1365. The median R-LOS was 65 days (IQR 39-99 days), ranging from 1 to 469 days. Multivariate linear regression analysis identified two significant predictors of R-LOS, total FIM score and the injury classification. This model was used to derive a R-LOS prediction equation, which explained 34% of the variance in R-LOS.
We developed a simple equation to predict R-LOS based on the level of impairment and total FIM scores in persons with TSCI. These data have implications for health system planning, improvement, and innovation, and provide insights to support further research into the predictors of R-LOS, identification of higher-risk individuals.
大多数创伤性脊髓损伤(TSCI)患者在伤后的护理是在住院康复环境中进行的。住院康复住院时间(R-LOS)已被证明是TSCI患者运动功能恢复的一个重要预测指标。由于TSCI患者个体的复杂性和异质性,在入院时预测R-LOS具有挑战性。
确定R-LOS的主要预测因素,并推导一个方程来估计TSCI患者的R-LOS。
这是一项对来自加拿大艾伯塔省里克·汉森脊髓损伤登记处的成年TSCI患者数据的回顾性分析,这些患者在2005年5月10日至2020年1月28日期间接受了康复护理。采用多元线性回归分析来确定R-LOS与参与者人口统计学、住院时间、损伤和损伤分类以及合并症测量之间的显著关系。
分析纳入了1365名符合条件队列中的736名成年TSCI患者。R-LOS的中位数为65天(四分位间距39 - 99天),范围为1至469天。多元线性回归分析确定了R-LOS的两个显著预测因素,即FIM总分和损伤分类。该模型用于推导R-LOS预测方程,该方程解释了R-LOS中34%的方差。
我们基于TSCI患者的损伤程度和FIM总分开发了一个简单方程来预测R-LOS。这些数据对卫生系统的规划、改进和创新具有启示意义,并为支持进一步研究R-LOS的预测因素、识别高风险个体提供了见解。