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Record W2347079560 · doi:10.14740/cr463w

Clinical and Surgical Strategies for Avoiding or Reducing Allogeneic Blood Transfusions

2016· article· en· W2347079560 on OpenAlexvenueno aff
Antônio Alceu dos Santos, José Francisco Baumgratz, José Henrique Andrade Vila, Rodrigo Moreira Castro, Rodrigo Freire Bezerra

Bibliographic record

VenueCardiology Research · 2016
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnemiaSurgeryErythropoietinHemostasisBlood transfusionCardiopulmonary bypassArteryAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

Blood transfusions have still been used as a standard therapy to treat severe anemia. Current evidences point to both excessive allogeneic blood consumption and decreased donations, which result in reduced stocks in blood banks. Several studies have increasingly suggested a more restrictive transfusion practice for blood products. Currently, a number of autologous blood conservation protocols in surgeries have been noted. We report a case of severe anemia with 2.9 g/dL hemoglobin, which was successfully handled without using the standard therapy to treat anemia with hemotransfusions. Such a case of severe anemia condition resulted after the patient was submitted to ascending aortic aneurism repair, valvar aortic replacement, reimplantation of right coronary ostium, followed by a coronary artery bypass grafting and several postoperative complications. The main clinical and surgical strategies used in this case to avoid blood transfusions were acute normovolemic hemodilution, intraoperative blood cell salvage, and meticulous hemostasis, beyond epsilon-aminocaproic acid, desmopressin, prothrombin complex concentrate, human fibrinogen concentrate, factor VIIa recombinant, erythropoietin and hyperoxic ventilation.

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)0.004
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.762
Threshold uncertainty score0.261

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.229
GPT teacher head0.478
Teacher spread0.249 · 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 designNot applicable
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

Citations5
Published2016
Admission routes1
Has abstractyes

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