Mid-Term Mortality Prediction Using Four Established Risk Scores in Patients with Chronic Limb-Threatening Ischemia Undergoing Cardiac Surgery

利用四种已建立的风险评分对接受心脏手术的慢性肢体缺血患者进行中期死亡率预测

阅读:1

Abstract

Objectives: Patients with chronic limb-threatening ischemia (CLTI) represent a high-risk cohort for cardiac surgery due to the systemic atherosclerotic burden and frailty. This study aimed to evaluate the short- and mid-term prognoses of CLTI patients undergoing open cardiac surgery and to assess the prognostic utility of four risk scoring systems: Japan SCORE, SPINACH SCORE, Clinical Frailty Scale (CFS), and Geriatric Nutritional Risk Index (GNRI). Methods: We retrospectively analyzed 44 patients with CLTI who underwent open cardiac surgery between 2014 and 2023. Thirty-day and 1-year mortality were assessed. Patients were stratified using ROC-derived cutoffs for each scoring system. Kaplan-Meier survival curves and time-dependent ROC analyses were used to evaluate predictive performance over time. Results: Thirty-day mortality was significantly associated with a higher Japan SCORE; survivors had significantly lower scores than non-survivors (5.5% vs. 25.8%, p < 0.05). One-year mortality was significantly associated with nutritional status, as survivors showed a significantly higher GNRI than non-survivors (92.0 vs. 86.0, p < 0.05). Time-dependent ROC analysis revealed that the GNRI and SPINACH SCORE's sustained prognostic accuracy beyond 1 year. Calibration plots showed good agreement between predicted and observed probabilities for the SPINACH SCORE and GNRI, while decision curve analysis (DCA) demonstrated that these two models provided greater net clinical benefit across a range of thresholds, particularly in the 5-20% range. Conclusions: Japan SCORE is effective for short-term risk prediction, while SPINACH SCORE and GNRI offer superior prognostic value for mid-term outcomes. These scoring systems may support preoperative risk stratification and decision-making in CLTI patients undergoing cardiac surgery.

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。