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. Author manuscript; available in PMC: 2023 Apr 5.
Published in final edited form as: Arch Phys Med Rehabil. 2022 Dec 17;104(4):523–532. doi: 10.1016/j.apmr.2022.11.014

Table 1.

Description of all candidate predictors evaluated for the AMPREDICT PROsthetics prediction model.

Predictors* Description (when applicable)
Amputation and prosthetic prescription
  Amputation level At time of prosthetic prescription
  Ipsilateral reamputation Between incident amputation and prosthetic prescription
  Time to prosthetic prescription From incident amputation
Demographics
  Age Years
  Body mass index (BMI) Kg/m2
  Marital status Married versus not
  Urban versus rural/highly rural Current living environment
Comorbidities
  Diabetes
  Peripheral artery disease (PAD) Atherosclerosis of native arteries or bypass graft of the lower extremities with claudication, rest pain, ulceration or gangrene
Asthma
  Chronic obstructive pulmonary disease (COPD)
  Coronary artery disease (CAD)
  Congestive heart failure (CHP)
  Kidney failure
  Stroke
  Chronic liver disease Categorized as alcoholic, non-alcoholic, and “any” which combined the two
  Peripheral neuropathy
  Myocardial infarction In the past 6 months
  Dialysis Currently
Mental health and health behaviors
  Mild cognitive impairment
  Post-traumatic stress disorder (PTSD)
  Schizophrenia/psychosis Combined into a single predictor
  Bipolar disorder
  Anxiety
  Depression Categorized as no depression, depressive without major disorder, and major depressive disorder (MDD)
  Tobacco use disorder
  Cocaine/opioid use disorder
  Alcohol misuse Most recent Alcohol Use Disorders Identification Test (AUDIT-C) score) prior to prosthetic prescription categorized as mild, moderate, and severe separately by male and female29
Prior revascularization procedure §
  Any prior revascularization Included ipsilateral, contralateral, open and endovascular without a time component
  Ipsilateral open Categorized as none, recent (≤3 months) or distant (>3 months) prior to prosthetic prescription
  Ipsilateral endovascular Same as above
  Contralateral open Same as above
  Contralateral endovascular Same as above
*

A set of fractional polynomial terms was considered for all continuous predictors (time to prosthetic prescription, age, and BMI) to allow for nonlinear associations with (logit) risk.30

Race and sex information were collected, but were not included in the prediction model development because the number of eligible females was too small, and race may simply be a surrogate for other predictors.

History of ever/never being diagnosed in the past except for myocardial infarction and dialysis

§

Based on clinical experience that these procedures may influence healing, prosthetic fitting, and ultimately prosthetic mobility