Predictors for institutionalization and prosthetic ambulation after major lower extremity amputation during an eight-year follow-up

Aging Clin Exp Res. 2009 Apr;21(2):129-35. doi: 10.1007/BF03325220.

Abstract

Background and aims: Major lower extremity amputation (LEA) leads to great loss in mobility, exposing old people to the risk of losing their independent living status. This study applies predictors for institutionalization and considers prosthesis use by major lower leg amputees with peripheral arterial disease (PAD).

Methods: 119 PAD patients admitted from home (mean age 73.6, SD 11.5 years, 48% men) underwent their first major LEA, 1998- 2002, and survived at least one month after the operation. Logistic regression analysis was run to clarify institutionalization predictors. Prosthesis use and ambulatory capacity were recorded during the follow-up.

Results: Older age, living alone, and unilateral above-knee amputation (AKA) or bilateral amputation predicted institutionalization. Of prosthesis users, 69% (27/39) were younger than 75 and 44% (17/39) were able to walk both in- and outdoors. Reasons for not receiving a prosthesis after amputation were: 1) short expected survival; 2) old age, combined with unilateral AKA or bilateral amputation; 3) unilateral AKA or bilateral amputation and a comorbid condition such as hemiparesis, paraplegia, uremia, dementia, or alcohol misuse. After one year, 72% (36/50) of amputees who were able to return home and 9% (3/32) of amputees in institutional care used a prosthesis.

Conclusion: The majority of amputated patients cannot return home after their first LEA. Comorbid conditions particularly influencing functional capacity also hinder ambulation with a prosthesis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Distribution
  • Aged
  • Amputation, Surgical / statistics & numerical data*
  • Artificial Limbs / statistics & numerical data*
  • Comorbidity
  • Female
  • Finland / epidemiology
  • Follow-Up Studies
  • Humans
  • Institutionalization / statistics & numerical data*
  • Male
  • Patient Discharge
  • Peripheral Vascular Diseases / epidemiology*
  • Peripheral Vascular Diseases / surgery*
  • Predictive Value of Tests
  • Retrospective Studies
  • Risk Factors
  • Sex Characteristics
  • Sex Distribution
  • Walking / statistics & numerical data*