Department of Medical Information Science and Administration Planning, Kumamoto University, Kumamoto, Japan.
Arch Phys Med Rehabil. 2010 Jan;91(1):67-72. doi: 10.1016/j.apmr.2009.09.018.
Hirose J, Ide J, Yakushiji T, Abe Y, Nishida K, Maeda S, Anraku Y, Usuku K, Mizuta H. Prediction of postoperative ambulatory status 1 year after hip fracture surgery.
To assess the validity of Estimation of Physiologic Ability and Surgical Stress (E-PASS) for predicting the postoperative risk and ambulatory status long-term follow-up after hip fracture surgery and to establish an algorithm for predicting their ambulatory status.
Cohort study.
Twelve hospitals belonging to the regional network for hip fracture in Japan.
The study population was composed of 421 patients; 268 underwent surgery between April 2004 and March 2006 (group A), and 153 were treated surgically between April 2006 and March 2007 (group B). All were operated at 3 surgical hospitals and, subsequently, transferred to 9 rehabilitation centers.
Not applicable.
We evaluated various factors, including their E-PASS scores to determine whether there was a correlation with the patients' mortality rate and their ability to walk at discharge and 1 year after surgery (group A). Using multiple regression analysis, we then developed algorithms to predict the ability of elderly patients to walk after hip fracture surgery. We applied the algorithms to group B patients and compared their actual and predicted ambulatory status.
In group A patients, the postoperative walking ability and mortality rate were highly correlated with their E-PASS scores and dementia status. In group B, our algorithms exhibited good correlations between the predicted and actual walking ability at both time points (rho=0.6, P<.001).
In candidates for hip fracture surgery, the E-PASS scores exhibited a good correlation with the patients' functional and survival prognoses, and the algorithm including E-PASS scores and dementia status can accurately estimate the ambulatory status at discharge and 1 year after surgery.
广濑 J、井出 J、薮内 T、安部 Y、前田 S、安来 Y、水口 K、水津 H。髋关节骨折手术后 1 年预测术后活动状态。
评估生理能力和手术应激估计(E-PASS)预测髋关节骨折手术后长期随访的术后风险和活动状态的有效性,并建立预测其活动状态的算法。
队列研究。
日本髋关节骨折区域网络的 12 家医院。
研究人群由 421 名患者组成;268 名患者于 2004 年 4 月至 2006 年 3 月期间接受手术(A 组),153 名患者于 2006 年 4 月至 2007 年 3 月期间接受手术(B 组)。所有患者均在 3 家手术医院接受治疗,随后转至 9 家康复中心。
不适用。
我们评估了各种因素,包括他们的 E-PASS 评分,以确定与患者死亡率以及出院和手术后 1 年的步行能力之间是否存在相关性(A 组)。然后,我们使用多元回归分析,制定预测老年髋部骨折患者术后行走能力的算法。我们将算法应用于 B 组患者,并比较了他们的实际和预测的活动状态。
在 A 组患者中,术后行走能力和死亡率与 E-PASS 评分和痴呆状态高度相关。在 B 组中,我们的算法在两个时间点(rho=0.6,P<.001)都表现出预测和实际行走能力之间的良好相关性。
在髋关节骨折手术候选者中,E-PASS 评分与患者的功能和生存预后具有良好的相关性,包括 E-PASS 评分和痴呆状态的算法可以准确估计出院后和手术后 1 年的活动状态。