ArticleArchives of physical medicine and rehabilitation2023
AMPREDICT PROsthetics-Predicting Prosthesis Mobility to Aid in Prosthetic Prescription and Rehabilitation Planning.
Article in Archives of physical medicine and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed.
- PROPREDICT Decision Support Tool: Using Evidence to Guide Precision Prosthesis Prescription and Rehabilitation Planning.Archives of physical medicine and rehabilitation · 2026Article
- AMPREDICT Mobility-4: A Novel Four Category Mobility Outcome Prediction Model for Patients Undergoing Vascular Amputation.European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery · 2025Article
- AMPREDICT MoRe: Predicting Mortality and Re-amputation Risk after Dysvascular Amputation.European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery · 2025Article
- Validation of the Amputee Single Item Mobility Measure (AMPSIMM) and the abbreviated AMPSIMM-4 for amputee mobility.Clinical rehabilitation · 2025Article
- Racial disparities in prosthesis abandonment and mobility outcomes after lower limb amputation from a dysvascular etiology in a veteran population.PM & R : the journal of injury, function, and rehabilitation · 2025Article
- Future Directions in Prosthetic Component Research and Clinical Prescription: A Precision Rehabilitation and Patient-Centered Care Approach.Archives of physical medicine and rehabilitation · 2024Article
- Predicting Functional Outcomes Following Dysvascular Lower Limb Amputation: An Evidence Review of Personalizing Patient Outcomes.Physical medicine and rehabilitation clinics of North America · 2024Review
- The Effect of Prosthetic Limb Sophistication and Amputation Level on Self-reported Mobility and Satisfaction With Mobility.Archives of physical medicine and rehabilitation · 2024Article
- The effect of depression on prosthesis prescription in men and women who have undergone a lower limb amputation.Disability and rehabilitation · 2024Article
- PROClass: The Development and Validation of a Novel Prosthetic Component Sophistication Classification System.Archives of rehabilitation research and clinical translation · 2023Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
objectiveTo develop and validate a patient-specific multivariable prediction model that uses variables readily available in the electronic medical record to predict 12-month mobility at the time of initial post-amputation prosthetic prescription. The prediction model is designed for patients who have undergone their initial transtibial (TT) or transfemoral (TF) amputation because of complications of diabetes and/or peripheral artery disease.
designMulti-methodology cohort study that identified patients retrospectively through a large Veteran's Affairs (VA) dataset then prospectively collected their patient-reported mobility.
settingThe VA Corporate Data Warehouse, the National Prosthetics Patient Database, participant mailings, and phone calls.
participantsThree-hundred fifty-seven veterans who underwent an incident dysvascular TT or TF amputation and received a qualifying lower limb prosthesis between March 1, 2018, and November 30, 2020 (N=357).
interventionsNot applicable.
main outcome measureThe Amputee Single Item Mobility Measure (AMPSIMM) was divided into a 4-category outcome to predict wheelchair mobility (0-2), and household (3), basic community (4), or advanced community ambulation (5-6).
resultsMultinomial logistic lasso regression, a machine learning methodology designed to select variables that most contribute to prediction while controlling for overfitting, led to a final model including 23 predictors of the 4-category AMPSIMM outcome that effectively discriminates household ambulation from basic community ambulation and from advanced community ambulation-levels of key clinical importance when estimating future prosthetic demands. The overall model performance was modest as it did not discriminate wheelchair from household mobility as effectively.
conclusionsThe AMPREDICT PROsthetics model can assist providers in estimating individual patients' future mobility at the time of prosthetic prescription, thereby aiding in the formulation of appropriate mobility goals, as well as facilitating the prescription of a prosthetic device that is most appropriate for anticipated functional goals.
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