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Record W4390448161 · doi:10.1177/15266028231219674

Multimodal Prehabilitation for Patients Undergoing Endovascular Aortic Aneurysm Repair Surgery: A Feasibility Study

2023· article· en· W4390448161 on OpenAlexafffund
Miquel Coca-Martínez, Jade St-Pierre, Elie Girsowicz, Robert J. Doonan, Daniel I. Obrand, Jason Bayne, Oren K. Steinmetz, Kent S. MacKenzie, Francesco Carli, Graciela Martínez‐Palli, Heather L. Gill

Bibliographic record

VenueJournal of Endovascular Therapy · 2023
Typearticle
Languageen
FieldMedicine
TopicAortic aneurysm repair treatments
Canadian institutionsJewish General HospitalMcGill University Health CentreMcGill University
FundersFonds de Recherche du Québec - Santé
KeywordsMedicinePrehabilitationEndovascular aneurysm repairSurgeryAortic aneurysmAbdominal aortic aneurysmAneurysmPhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND: Elective treatment options for aortic abdominal aneurysms include open repair or the less-invasive endovascular aortic aneurysm repair (EVAR). Recovery from EVAR is generally considered easier and faster than open repair. Despite this, EVAR remains a major procedure, and average return to preoperative quality of life is at least 3 months. The purpose of this study is to determine the safety and feasibility of multimodal prehabilitation, a multidisciplinary preoperative optimization intervention, in patients undergoing EVAR and its impact on perioperative functional capacity and quality of life. METHODS: Candidates for EVAR with an infra-renal abdominal aortic aneurysm <7.5cm were invited to participate in a 6-week multimodal prehabilitation program that included (1) supervised and home-based exercise, (2) nutritional support, (3) psychosocial support, and (4) smoking cessation. Functional capacity and quality of life were assessed at baseline, before surgery and 6 weeks postoperatively. Recruitment rate, safety, and compliance were also assessed. RESULTS: A total of 24 patients were included, 17 males (70%) and 7 females (30%). No adverse events occurred during the program. Compliance to each component of the program (median [Q1-Q3]) was 66% [67] for supervised training, 100% [67] for home-based training, and 100% [100] for nutrition. The multimodal prehabilitation program elicited a significant increase in functional capacity and quality of life preoperatively. CONCLUSION: Multimodal prehabilitation for patients awaiting EVAR is feasible and safe. Multimodal prehabilitation improves both functional capacity and quality of life preoperatively. Further research is needed to assess the impact of multimodal prehabilitation on postoperative quality of life and functional capacity.Clinical ImpactMultimodal prehabilitation is safe and feasible in patients awaiting endovascular aneurysm repair. The importance of this finding is that multimodal prehabilitation can be safely delivered preoperatively in patients awaiting EVAR. Although further research is needed, multimodal prehabilitation seems to improve preoperative functional capacity and quality of life. This could have an impact for the future implementation of prehabilitation interventions in order to increase functional reserve and quality of life preoperatively so that this high-risk population can cope better with the surgical stress and return to their normal life faster postoperatively.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.038
GPT teacher head0.317
Teacher spread0.279 · 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 designNon-randomized trial
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

Citations3
Published2023
Admission routes2
Has abstractyes

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