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Record W2918499500 · doi:10.33137/cpoj.v2i1.31950

A DEPICTION OF REHABILITATION PATIENTS 65 YEARS AND YOUNGER WITH DYSVASCULAR LOWER EXTREMITY AMPUTATION

2019· article· en· W2918499500 on OpenAlexafffundvenueabout
Amanda L. Mayo, Sander L. Hitzig, Stephanie R. Cimino

Bibliographic record

VenueCanadian Prosthetics & Orthotics Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicDiabetic Foot Ulcer Assessment and Management
Canadian institutionsHealth Sciences CentreSunnybrook HospitalToronto Rehabilitation InstituteUniversity of TorontoSunnybrook Health Science Centre
FundersSunnybrook Research Institute
KeywordsDepictionRehabilitationAmputationMedicinePhysical therapyPhysical medicine and rehabilitationSurgeryArtVisual arts

Abstract

fetched live from OpenAlex

BACKGROUND: The majority of lower limb amputations (LLA) in Canada are dysvascular due to complications of diabetes and/or vascular disease. Traditionally dysvascular amputations have occurred in the elderly. With younger onset of adult diabetes, amputations are now occurring in non-geriatric populations. An understanding of younger patients with dysvascular LLA is needed to determine their risk factors, and unique health and psychosocial challenges. OBJECTIVES: To obtain a depiction of the key demographic and impairment characteristics of adults 65 years and younger with dysvascular LLA undergoing inpatient rehabilitation. METHODOLOGY: A retrospective chart review was completed on inpatient adult amputation rehabilitation patients over a five year period. Data extracted included socio-demographics, Functional Independence Measure (FIM) scores, co-morbidities, and discharge outcomes. FINDINGS: One hundred and forty-three patients who were 65 years and younger were included, which represented almost a quarter of all admissions. Most patients were male (79%) with an average age of 55 years old (SD=8). The majority (72%) were unemployed. The mean number of co-morbidities was 5.2 (SD=8.2). Individuals discharged home (n=122) had higher (p<0.05) FIM scores than those readmitted to acute care or discharged to long-term care (n=20). CONCLUSIONS: Similar to the literature on older dysvascular LLA patients, our study found high rates of disability and co-morbidities in younger patients with dysvascular LLA, which might impact their ability to work. Given these challenges, better amputation prevention strategies and targeted rehabilitation programming for this population are needed. LAYMAN’S ABSTRACT: The rates of people with diabetes and peripheral vascular disease are increasing, which might be leading to a higher rate of adults losing their lower limbs earlier than typically seen (65 years and younger). As a result, we need to better understand if the health and physical function outcomes of this younger group are similar to geriatric populations (over 65 years old). This study used electronic chart data collected on 143 patients with lower limb loss from complications of diabetes and/or vascular disease who received care at a rehabilitation hospital over a five-year period. The average age of the group was 55 years old, with the youngest being 21 years old. The majority of the patients were men and 72% were unemployed at hospital admission. Those who had higher functional abilities were more likely to return to home whereas those with lower functional abilities (20 patients) went to another hospital or a long-term care setting. Overall, our study showed that patients who were 65 years and younger were showing similar types and rates of co-morbidities (e.g. heart disease, pressure ulcers, etc.) typically seen in older patients with lower limb loss. However, younger patients might need higher levels of support to help them resume key social roles, such as employment. Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/31950/24770 How to Cite: Mayo A.L, Cimino S.R, Hitzig S.L. A depiction of rehabilitation patients 65 years and younger with dysvascular lower extremity amputation. Canadian Prosthetics & Orthotics Journal. 2019; Volume2, Issue1, No.1. https://doi.org/10.33137/cpoj.v2i1.31950 CORRESPONDING AUTHORDr. Amanda L. Mayo, MD, MHSc, FRCPC1) Physiatrist: St. John’s Rehab, 285 Cummer Avenue, Toronto, ON, Canada M2M 2G1 2) Assistant Professor, Faculty of Medicine, University of Toronto, Toronto, Canada.Email: amanda.mayo@sunnybrook.ca

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.386

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)0.0000.000

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 head0.003
GPT teacher head0.203
Teacher spread0.200 · 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

Citations9
Published2019
Admission routes4
Has abstractyes

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