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

Yuki Setogawa1, Shinsuke Kikuchi2, Kyohei Oyama1

  • 1Department of Cardiac Surgery, Asahikawa Medical University, Midorigaoka Higashi 2-1-1-1, Asahikawa 078-8510, Japan.

Journal of Clinical Medicine
|September 13, 2025
PubMed

Insights

For patients with chronic limb-threatening ischemia (CLTI) undergoing cardiac surgery, the Japan SCORE predicts short-term risk, while SPINACH SCORE and Geriatric Nutritional Risk Index (GNRI) better predict mid-term outcomes.

Area of Science:

  • Cardiology
  • Vascular Surgery
  • Geriatric Medicine

Background:

  • Chronic limb-threatening ischemia (CLTI) patients are a high-risk group for cardiac surgery due to systemic disease and frailty.
  • Effective preoperative risk stratification is crucial for optimizing outcomes in this vulnerable population.

Purpose of the Study:

  • To evaluate short- and mid-term prognoses of CLTI patients undergoing open cardiac surgery.
  • To assess the prognostic utility of Japan SCORE, SPINACH SCORE, Clinical Frailty Scale (CFS), and Geriatric Nutritional Risk Index (GNRI) in this cohort.

Main Methods:

  • Retrospective analysis of 44 CLTI patients undergoing open cardiac surgery (2014-2023).
  • Assessment of 30-day and 1-year mortality.
  • Stratification using ROC-derived cutoffs and evaluation of predictive performance via Kaplan-Meier curves and time-dependent ROC analyses.

Main Results:

  • Japan SCORE effectively predicted 30-day mortality (lower scores in survivors).
  • GNRI was significantly associated with 1-year survival (higher scores in survivors).
  • GNRI and SPINACH SCORE demonstrated sustained prognostic accuracy beyond 1 year, with good calibration and clinical utility.

Conclusions:

  • Japan SCORE is valuable for short-term risk prediction in CLTI patients undergoing cardiac surgery.
  • SPINACH SCORE and GNRI provide superior mid-term prognostic value.
  • These scoring systems can aid in preoperative risk stratification and decision-making for CLTI patients.