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Endogenous protein C activation in patients with severe sepsis

2004· review· en· W2071492329 on OpenAlexaff
Patricia C. Liaw

Bibliographic record

VenueCritical Care Medicine · 2004
Typereview
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsMcMaster UniversityHamilton Health SciencesJuravinski Cancer Centre
Fundersnot available
KeywordsMedicineEndogenySepsisSevere sepsisIntensive care medicineInternal medicineSeptic shock

Abstract

fetched live from OpenAlex

OBJECTIVE: To review how endogenous protein C activation might change in disease states and to discuss the implications of these findings in the context of severe sepsis. DATA SOURCE: A review of the published literature in PubMed together with data from abstracts from 2001 to present. DATA EXTRACTION AND SYNTHESIS: Activated protein C (APC) supplementation has been shown to significantly reduce mortality in patients with severe sepsis, presumably by virtue of its ability to down-regulate coagulation, inflammation, and apoptosis. In vivo, endogenous APC is generated in the circulation when protein C is activated by the thrombin-thrombomodulin complex. Protein C activation is augmented by the endothelial cell protein C receptor. Thus, thrombomodulin and the endothelial cell protein C receptor are components of the endothelium-based "machinery" required for efficient activation of protein C. In healthy individuals, the amount of APC formed is proportional to thrombin levels. In vitro studies have shown that thrombomodulin and the endothelial cell protein C receptor are down-regulated by inflammatory cytokines, and the levels of these receptors are reduced in the endothelium of skin-biopsy specimens in children with severe meningococcal sepsis. However, endothelial studies of excised blood vessels provide only a partial picture of the APC pathway in vivo. Knowledge of endogenous plasma levels of protein C, thrombin, and APC may be helpful in assessing the functional status of the protein C pathway in the systemic circulation. To date, there are few reports available on endogenous APC levels in patients with severe sepsis, perhaps due to the lack of available assays that permit both rapid and accurate measurements. A unique feature of our study is that we have developed an APC assay that, for the first time, permits rapid and accurate measurements of plasma APC levels. Preliminary studies using this assay suggest that adult patients with severe sepsis vary markedly in their ability to generate APC endogenously. These results are intriguing because they suggest that, depending on individual defects in the protein C pathway, some patients have impaired protein C activation and might require APC therapy, whereas others may benefit from administration of protein C. Although the clinical efficacy of recombinant human APC (drotrecogin alfa [activated]) in severe sepsis has been reported in a phase III clinical trial, the efficacy of protein C in severe sepsis remains to be determined. CONCLUSIONS: Preliminary results suggest that adult patients with severe sepsis vary markedly in their ability to convert endogenous protein C to APC. Additional research is required to establish whether endogenous APC activation profiles are useful in the clinical management of patients with severe sepsis.

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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.065
GPT teacher head0.338
Teacher spread0.273 · 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
GenreReview

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

Citations38
Published2004
Admission routes1
Has abstractyes

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