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Anti-Inflammatory Therapy with High Dose Insulin in Brain Dead Organ Donors

2012· article· en· W2325365808 on OpenAlexaff
Murad Aljiffry, Peter Metrakos, Thomas Schricker, Prosanto Chaudhury, Ayat Salman, M. Shaheen, Thamer Nouh, Linda Wykes, Sajid Ali, Mazen Hassanain, Ahmad Madkhali

Bibliographic record

VenueTransplantation · 2012
Typearticle
Languageen
FieldNeuroscience
TopicVagus Nerve Stimulation Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineInsulinHypoglycemiaInflammationInternal medicineOrgan dysfunctionGastroenterologySepsis

Abstract

fetched live from OpenAlex

Introduction: Brain death is a major stress on the body that is associated with a massive inflammatory response. Severe inflammation can lead to increased graft immunogenicity and increased risk of graft dysfunction. In addition, to the maintenance of normoglycaemia Insulin therapy has expressed anti-inflammatory effects in clinical and experimental studies. The objective is determining if high dose insulin therapy can suppress inflammation and maintain normoglycaemia in brain dead donors. Methods: Pilot study with an open-label prospective-controlled design. Fifteen brain dead organ donors were recruited including 6 study donors and 9 control donors. Insulin therapy was delivered to the study donors using the hyperinsulinemic normoglycaemic clamp (HNC) and was maintained for a minimum of 6 hours and continued till organ retrieval. The anti-inflammatory effect was measured by the change in the cytokine levels in the plasma of these donors. Categorical and continuous variables were expressed as summary statistics (n, median, mean, range, standard deviation) for all donors in both groups. Fisher's exact and Wilcoxon test were performed to assess differences between the groups and a p-value < 0.1 was considered significant. Results: There was no significant difference in donor characteristics between the 2 groups. CVA was the most common cause of brain death (60%). The study group had normal glucose levels (median 4.8 mmol/L) compared to the control group (median 9.0 mmol/L) (p< 0.001). There were no periods of severe hypoglycemia (glucose < 2.5 mmol/l). The levels of several pro-inflammatory mediators including; IL-6, TGF-α and MCP-1 were significantly decreased after 6 hours of treatment compared to their baseline values in the study group (p=0.03), (p=0.03) and (p=0.09), respectively. We observed an opposite trend in circulating levels of the anti-inflammatory factor IL-10 in the study group. The levels of inflammatory markers did not demonstrate a significant change after 6 hours compared to their baseline values in the control group. Conclusion: High dose insulin therapy in the form of HNC was successful in the maintenance of normoglycaemia in brain dead organ donors, without severe hypoglycaemia. Furthermore, the therapy had anti-inflammatory effects on donors, as expressed by decreased the levels of several pro-inflammatory cytokines in the study group.Table: [General demographics and characteristics of donors]Table: [change of cytokine levels at ST1 (after 6hrs)]

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score0.438

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 communication0.0000.001
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 head0.038
GPT teacher head0.300
Teacher spread0.263 · 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".

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Citations1
Published2012
Admission routes1
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