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Record W2912972398

Combat Vascular Trauma_ From Characterization to Innovation.pdf

2017· article· en· W2912972398 on OpenAlexaboutno aff
Shane Smith

Bibliographic record

VenueScholarship@Western (Western University) · 2017
Typearticle
Languageen
FieldMedicine
TopicVascular Procedures and Complications
Canadian institutionsnot available
Fundersnot available
KeywordsBusiness
DOInot available

Abstract

fetched live from OpenAlex

The way that soldiers are injured in modern conflicts has changed. Bullet and ballistic weapons are causing fewer casualties, and more commonly Improvised Explosive Devices (IED) are injuring them. The purpose of this thesis is to characterize the injury pattern of the antipersonnel IED (AP-IED) in victims from the Afghanistan conflict, to retrospectively examine the incidence and type of vascular trauma in a Canadian level 1 trauma center and to develop and novel device for control of junctional vascular injuries.The injury pattern of 100 consecutive AP-IED victims was recorded. Multiple amputations occurred in 70% of IED victims: 5 quadruple amputations, 27 triple amputations, and 38 double amputations. Pelvic fractures occurred in 21 victims and severe perineal, gluteal or genital injuries were present in 46 patients. The casualty fatality rate was 19%.All adult trauma patients who presented to a Canadian Level I trauma centre with injuries to named arterial or venous vessels from 1 January 2011- 31 December 2015 were reviewed. The majority of patients were male (70.1%) with an injury severity score of 15 or greater in 63.3%. Blunt mechanism accounted for 61.4%. Vessel injuries to the neck (20.4%), thorax (20.4%), abdomen/pelvis (19.7%), upper extremity (24.5%) and lower extremity (15.0%) were identified. Prehospital tourniquet use for arterial injuries occurred in 12.2%. Non-operative management was used in 39 patients (28.3%) and open and endovascular repair were undertaken on 59 (42.8%) and 17 ii (12.3%) respectively. No temporary intravascular shunts or balloon aortic occlusion devices were used. Thirteen different subspecialty disciplines managed vascular trauma at this centre.A novel device for the control of pelvic and junctional hemorrhage was developed and tested in porcine and human cadavers. Placement of a catheter into the femoral vessel was followed by expression of the balloon with inflation by CO2 in a proximal direction. Thus it can navigate and treat damaged pelvic vasculature, occluding the distal aorta, and is technically simple to use. This CO2 balloon system was tested on model aortas with inline fluid flow and pressure monitoring to determine the maximum pressure the balloons could occlude. The device was tested on both intact and injured cadaveric porcine aortas for its ability to occlude fluid flow and to test the devices safety for use in arteries. The device was tested on a dye-perfused human cadaveric model. The results of the study indicate the device can occlude fluid flow to supra-physiologic pressures and will rupture before injuring the vessel in the event of over inflation. It has the advantage of being able to navigate and treat injured pelvic vessels and is easy to use. This device may provide a tool to community hospitals and forward medical care providers in managing noncompressible pelvic hemorrhage.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.181
Threshold uncertainty score0.606

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.002
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1810.069

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 head0.113
GPT teacher head0.336
Teacher spread0.223 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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