A Novel Scoring System for Predicting Mortality, Morbidity, and Functional Outcomes in Patients Following Below-Knee Amputation: A Retrospective Study

一种预测膝下截肢患者死亡率、发病率和功能预后的新型评分系统:一项回顾性研究

阅读:1

Abstract

Objective  Patients undergoing below-knee amputation may experience considerable postoperative mortality risk, particularly in the presence of comorbid conditions. The aim of this study was to present a newly developed risk index and scoring system to predict one-year mortality, morbidity, and functional independence in patients undergoing below-knee amputation. Materials and methods One-year postoperative follow-up data were obtained retrospectively from 30 patients who underwent below-knee amputation at our clinic. A novel scoring system was developed using variables including age, preoperative systemic diseases, diabetic foot infection, previous extremity surgery, postoperative mobilization time, and early complications. Survival analysis was performed, and functional independence was assessed using the Katz Activities of Daily Living Scale (Katz scores). The relationship between patients' survival status and Katz scores with the developed risk index was statistically evaluated. Results The average age of the patients was 71.7 years. Survival analysis indicated that higher scores on the newly developed index were significantly associated with increased mortality and morbidity (p<0.05). There was also a strong negative correlation between patients' scores and Katz scores (r=-0.757; p<0.001), indicating that patients with higher risk scores experienced poorer functional outcomes. Conclusions This retrospective study introduced a novel scoring system that reliably predicts functional independence in patients following below-knee amputation. However, its accuracy in predicting mortality and morbidity remains limited. Further refinement and validation in larger patient populations are required to enhance predictive accuracy and clinical applicability.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。