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346.3: Hand and upper limb transplant – the UK experience.

2024· article· en· W4402818655 on OpenAlexaboutno aff
David W. Leonard, Ibrahim Natalwala, Sarah Taplin, Joanna Burdon, Gráinne Bourke, Simon Kay

Bibliographic record

VenueTransplantation · 2024
Typearticle
Languageen
FieldMedicine
TopicOrgan and Tissue Transplantation Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineUpper limbSurgeryPhysical medicine and rehabilitation

Abstract

fetched live from OpenAlex

Introduction: Since 2012, hand and upper limb (HAUL) vascularised composite allotransplantation has been available in the United Kingdom on a standard of care basis to select patients with upper limb loss who meet the stringent criteria and commitment for transplantation. Here, we report the functional and immunological outcomes of all patients who have had a HAUL transplant in the UK. Methods: This was a single centre retrospective study of prospectively collected data based at the UK centre for HAUL transplantation. All cases of HAUL transplant since the programme’s inception were included. Primary outcome measures were graft survival, episodes of rejection, episodes of infection, side effects of immunosuppressive medications, complications, and functional outcome measures. Results: The UK Hand Transplant service has performed 17 HAUL transplants in 10 patients; 7 male and 3 female. The mean age at time of transplant was 46.7 ± 11.8 years. Aetiology of limb loss included sepsis, trauma (including blast and high tension electrical injury), and loss of function through disease. The later category included one patient with painful, total loss of hand function due to Systemic Sclerosis. Patient 10 was the world’s first to receive a HAUL transplant from a Donation after Circulatory Death (DCD) donor. The graft survival rate is 17/17. No patients have had chronic rejection. Five patients have generated de novo donor specific antibodies. The median number of acute rejection episodes was 3.5 (IQR 1.0-5.0). Three patients have had fungal infections post-transplant (one had mucormycosis). One patient had a peri-prosthetic fracture, osteomyelitis, and delayed union. Three patients have developed diabetes mellitus, controlled with oral medication. Patients with history of renal replacement (eg during severe sepsis) experience significantly greater renal impairment post-transplant and require careful assessment and management. For patients with at least 4 years follow up, Disabilities of Arm, Shoulder and Hand (DASH) scores improved in 5/6 patients. Canadian Occupational Performance Measure (COPM) scores improved in 6/6 patients. There were no psychological rejections, and all patients were happy to have had the transplant. Conclusion: The UK’s HAUL transplant programme is amongst the most active in the Western Hemisphere. HAUL transplant has thus far proven to be a successful and a viable option for a select group of patients. As the transplant programme has matured, we have refined our processes in every aspect from patient selection and work-up for surgery, to donation, and post-operative care. Novel indications are considered as they present. We continue to develop strategies to manage specific challenges, such as renal function post-transplant in patients that required renal replacement at the time of limb loss.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.598
Threshold uncertainty score0.789

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.321
Teacher spread0.298 · 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 teacher head, 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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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