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Updated: Jun 9, 2026

Methods for Acute and Subacute Murine Hindlimb Ischemia
Published on: June 21, 2016
Acute limb ischemia in the elderly: Determining the mortality factors
Kivanc Kacar1, Tugra Gencpinar1, Kivanc Metin1
1Department of Cardiovascular Surgery, Dokuz Eylül University Faculty of Medicine, İzmir, Türkiye.
Predicting mortality in elderly patients with acute limb ischemia is crucial. Functional dependency, absence of atrial fibrillation, and high neutrophil-to-lymphocyte ratio are key indicators for increased mortality risk.
Area of Science:
- Vascular Surgery
- Geriatric Medicine
- Critical Care Medicine
Background:
- Acute limb ischemia (ALI) poses significant mortality risks in elderly surgical patients.
- Identifying predictive factors for mortality is essential for improving patient outcomes.
Purpose of the Study:
- To identify factors associated with postoperative and one-year mortality in elderly patients undergoing surgery for ALI.
- To evaluate the predictive value of neutrophil-to-lymphocyte ratio (NLR), functional dependency, and atrial fibrillation history.
Main Methods:
- Retrospective analysis of 205 patients (mean age 77.7 years) who underwent embolectomy for ALI.
- Multivariate regression and Kaplan-Meier survival analyses were used to assess mortality predictors.
- Cut-off values for numeric variables were determined.
Main Results:
- Postoperative and one-year mortality rates were 35.1% and 56.6%, respectively.
- Functional dependency (OR 7.3), absence of atrial fibrillation (OR 3.3), and NLR > 5.91 (OR 9.1) were significant predictors of postoperative mortality.
- Functional dependency, absence of atrial fibrillation, and NLR > 5.85 negatively impacted one-year survival.
Conclusions:
- Absence of atrial fibrillation, functional dependency, and elevated NLR are significant predictors of mortality in elderly ALI patients.
- These factors can aid in risk stratification and clinical decision-making for ALI management.
- Further research may explore targeted interventions based on these identified risk factors.
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