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