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17. Healthcare Costs Associated with Major Upper Extremity Amputations in Ontario: A Retrospective Matched Cohort Study

2025· article· en· W4411672359 on OpenAlexaffabout
Çağdaş Duru, Nina Hadžimustafić, Siba Haykal

Bibliographic record

VenueTransplantation · 2025
Typearticle
Languageen
FieldMedicine
TopicDiabetic Foot Ulcer Assessment and Management
Canadian institutionsMcGill UniversityUniversity Health Network
Fundersnot available
KeywordsRetrospective cohort studyMedicineCohortAmputationHealth careCohort studySurgeryPhysical therapyEmergency medicineInternal medicine

Abstract

fetched live from OpenAlex

Introduction: Major upper extremity loss, defined as amputation above the wrist, has a significant impact on patients’ activities of daily living. Causes of upper extremity loss include trauma, malignancy, diabetes mellitus, vascular diseases, and infections. Upper extremity loss can have a profound impact on patients and impose considerable financial burden on patients and the healthcare system. While standard of care has been prosthetics, vascularized composite allotransplantation (VCA) offers an alternative, sophisticated, reconstructive solution with improved functionality and quality of life. Little is known about the healthcare costs associated with major upper extremity amputations. A 2016 study projects cost of unilateral hand VCA to be $735,647 CAD and bilateral hand VCA to be $747,837 CAD. Our matched retrospective cohort study spanning 20 years aims to compares standard of care costs to reported estimates of VCA cost. Methods: We conducted a matched retrospective cohort study of patients who underwent major upper extremity amputations between April 1, 2002 and March 31, 2023, ensuring a minimum 1-year follow-up for most recent cases. Patients were matched with general population and hospital-based trauma controls. Healthcare use and costs were analyzed by follow-up duration (<1 year, 1-4 years, 5-9 years, >10 years), and compared to projected VCA costs. Results: We identified 617 patients with a mean follow-up of 6.95 years (SD 6.16). Traumatic etiologies accounted for 41.7% of amputations, whilst non-traumatic etiologies accounted for 58.3%. Most amputations were unilateral (85.3%), while 3.2% were bilateral, and 11.5% were unidentifiable from our databases. The forearm was the most common amputation level (42.9%). Costs were determined to be $52,661 CAD (IQR: 22,009–120,120) for traumatic and $90,928 CAD (IQR: 43,128–213,034) for non-traumatic cases. Bilateral amputations incurred higher costs: $104,895 CAD (IQR: 41,290–243,967) for traumatic and $117,006 CAD (IQR: 68,447–226,491) for non-traumatic cases, excluding prosthetics. Conclusions: This study is the first to examine healthcare use and cost of major upper extremity amputations in Ontario, Canada. Our assistive devices program registry indicates that 47.9% of trauma patients apply for limb replacement, but have high abandonment rates due to function. The 30-year cost for unilateral amputee myoelectric devices is $171,860 CAD, while for bilateral amputees, costs are $344,895 CAD. Major upper extremity loss imposes substantial financial burden on the healthcare system when compared to the general population and other trauma cohorts. While the 30-year projection of VCA costs by Health Quality Ontario exceeds that of prosthetic devices, VCA may provide a life-enhancing option, particularly for bilateral amputees. Further studies assessing healthcare costs associated with VCA are required as patient cohort sample size grows.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.254
Threshold uncertainty score0.510

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.287
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes2
Has abstractyes

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