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Am J Surg. 2006 Apr;191(4):443-7.

Predictors for mortality after lower-extremity amputations in geriatric patients.

Author information

1
Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Shatin, Hong Kong. mwnwong@cuhk.edu.hk

Abstract

BACKGROUND:

The identification of independent predictors for operative and long-term mortality after lower-extremity amputations in the geriatric population would allow targeted management for high-risk patients and appropriate allocation of resources.

METHODS:

Univariate and multivariate logistic regression analyses were used to identify independent predictors for operative mortality. Life tables and Kaplan-Meier survival curves were generated. Independent predictors for long-term mortality were tested by log-rank test followed by Cox regression analysis.

RESULTS:

Female gender, congestive heart failure, and high-level amputation were identified as independent predictors for operative mortality (odds ratios 4.14, 4.59, and 4.77, respectively). The logistic regression model showed good calibration and discriminative power. Female gender, high-level amputation, cerebrovascular accident, congestive heart failure, noncommunity ambulation, and institutionalization before amputation were associated with an increased risk for long-term mortality. However, only high-level amputation, congestive heart failure, and noncommunity ambulation remained as independent risk factors after Cox regression analysis (relative risks 1.68, 2.08, and 2.10, respectively).

CONCLUSIONS:

Extra care should be given to patients identified with independent predictors for operative and long-term mortality.

PMID:
16531133
DOI:
10.1016/j.amjsurg.2006.01.003
[Indexed for MEDLINE]
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