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Record W2979676761 · doi:10.1182/blood.v116.21.661.661

Transfusion of Fresh but Not Stored Blood Reduces Infarct Size and Improves Cardiac Function Following Acute Myocardial Infarction In Anemic Rats

2010· article· en· W2979676761 on OpenAlexaffabout
Anargyros Xenocostas, Houxiang Hu, Nicolas Chin‐Yee, Ian Chin‐Yee, Qingping Feng

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldMedicine
TopicErythropoietin and Anemia Treatment
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineMyocardial infarctionPhlebotomyBlood transfusionAnemiaCardiac function curveInfarctionCardiologyInternal medicineSurgeryHeart failure

Abstract

fetched live from OpenAlex

Abstract Abstract 661 Background: Anemia is a predictor of poor outcomes in acute myocardial infarction (MI) and may increase the degree of ischemia, resulting in greater tissue injury. The only existing therapeutic intervention used to acutely correct anemia is red blood cell (RBC) transfusion, although its effectiveness at improving outcomes in anemic subjects following MI remains controversial. We have previously shown that transfusion of fresh blood in anemic rats following MI decreased infarct size, and improved cardiac function and survival (Hu et al. Transfusion 2010; 50:243-251). However, it was not known if the transfusion of stored blood, which develops a series of chemical and corpuscular changes collectively known as the “storage lesion”, would be equally effective in this model. Experimental Design: Acute MI was induced by coronary artery ligation in 49 male Sprague-Dawley rats, 38 of which were made anemic (Hb = 80–90 g/L) using a combination of dietary iron deprivation and phlebotomy, and 11 with normal Hb levels. Rat blood was stored for 7 days in CPDA-1 to induce a storage lesion similar to the one seen in human blood stored under identical conditions for 28 days (d'Almeida et al. Transfusion Medicine 2000; 10:291-303). Anemic animals were randomly assigned to one of three groups: i) fresh blood transfusion (stored for <4 hours) to increase the Hb to 100 g/L, ii) transfused with stored blood to increase the Hb to 100 g/L, or iii) no transfusion. At 24 hours post-MI, infarct size, cardiac function and survival rates were determined. Results: A similar degree of left ventricular (LV) myocardial ischemia (area at risk) was induced in all groups (P=NS). In agreement with previous results, the infarct size to area at risk ratios were significantly increased in the anemic (Hb 80–90 g/L) animals compared to non-anemic MI controls, and transfusion of fresh blood to a target Hb level of 100 g/L after MI decreased infarct size (P<0.05) and improved both systolic (+dP/dtmax) and diastolic (−dP/dtmin) LV function compared to anemic animals (P<0.05). However, the transfusion of stored blood into anemic animals post-MI did not have these effects when compared to the group receiving fresh blood (P<0.05). Furthermore, survival was increased in anemic animals receiving fresh blood (9/11; P<0.05) but not stored blood (7/14; P=NS) compared to the non-transfused group (5/13). Conclusions: The prolonged storage of blood negates the beneficial effects of fresh blood transfusion, which include reductions in infarct size, and improvements in cardiac function and short-term survival following acute MI in this animal model. (This study was supported by the Canadian Institutes of Health Research, Canadian Blood Services and the Bayer Partnership Fund). Disclosures: No relevant conflicts of interest to declare.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.231
Teacher spread0.225 · 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 designBench or experimental
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

Citations0
Published2010
Admission routes2
Has abstractyes

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