Related Experiment Videos
Predictors for mortality after lower-extremity amputations in geriatric patients
1Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Shatin, Hong Kong. mwnwong@cuhk.edu.hk
American Journal of Surgery
|March 15, 2006
Summary
Identifying key risk factors for mortality after lower-extremity amputation in geriatric patients is crucial. Female gender, heart failure, and high-level amputations increase operative mortality risk, while high-level amputation, heart failure, and noncommunity ambulation predict long-term mortality.
Area of Science:
- Geriatric Medicine
- Surgical Outcomes
- Vascular Surgery
Background:
- Geriatric patients undergoing lower-extremity amputations face significant operative and long-term mortality risks.
- Identifying independent predictors is essential for targeted management and resource allocation.
Purpose of the Study:
- To identify independent predictors of operative and long-term mortality in geriatric patients undergoing lower-extremity amputations.
Main Methods:
- Univariate and multivariate logistic regression for operative mortality.
- Life tables and Kaplan-Meier curves for survival analysis.
- Log-rank test and Cox regression for long-term mortality predictors.
Main Results:
- Operative mortality predictors: Female gender, congestive heart failure, high-level amputation.
- Long-term mortality predictors: Female gender, high-level amputation, cerebrovascular accident, congestive heart failure, noncommunity ambulation, institutionalization.
- Independent long-term mortality predictors (Cox regression): High-level amputation, congestive heart failure, noncommunity ambulation.
Conclusions:
- Geriatric patients with identified independent predictors require enhanced perioperative and long-term care.
- Targeted interventions for high-risk individuals can potentially improve outcomes after lower-extremity amputation.