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Pathogenetic and prognostic significance of inflammation and altered ADAMTS-13/vWF axis in patients with severe COVID-19

2022· article· en· W4285397000 on OpenAlex
В. О. Бицадзе, J. Kh. Khizroeva, Jean‐Christophe Gris, Sam Schulman, А. С. Шкода, M. V. Tretyakova, N. А. Makatsariya, Е. V. Slukhanchuk, L. L. Pankratyeva, Mikhail Petrovskiy, И. В. Машечкин, Д. В. Блинов, В. И. Цибизова, Z. K. Gadaeva, S. S. Panshin, N. V. Samburova, А. D. Makatsariya

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

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".

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueObstetrics Gynecology and Reproduction · 2022
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsMcMaster University
FundersRussian Foundation for Basic Research
KeywordsVon Willebrand factorMyeloperoxidaseMedicineEndothelial dysfunctionADAMTSInflammationEndothelial activationImmunologyOdds ratioInternal medicineADAMTS13ThrombospondinPlateletGastroenterologyMetalloproteinaseMatrix metalloproteinase

Abstract

fetched live from OpenAlex

Introduction . Currently, endothelial dysfunction caused by inflammation and immunothrombosisis considered as one of the crucial mechanisms in developing the SARS-CoV-2 virus-mediated coronavirus disease 2019 (COVID-19). A mass endothelial damage followed by release of untypical large quantity of von Willebrand factor (vWF) multimers and subsequent consumption of metalloproteinase ADAMTS-13 (a disintegrin and metalloproteinase with a thrombospondin type 1 motif, member 13) is described during severe COVID-19. The activation of innate immune cells including neutrophils results in formation of neutrophil extracellular traps (NETs) and myeloperoxidase (MPO) release that, in turn, contributes to spread of inflammation and microvascular thrombosis. Aim : to evaluate a pathogenetic role and predictive significance for serum markers of inflammation, endothelial dysfunction and hemostatis activation such as vWF, ADAMTS-13 and MPO for in-hospital mortality in severe COVID-19 patients requiring mechanical lung ventilation. Materials and Methods. There was performed a single-center observational study with 129 severe COVID-19 patients on mechanical lung ventilation at the intensive care unit, by assessing serum in all subjects vWF, ADAMTS-13 as well as in 79 patients MPO level along with other potential predictors for in-hospital mortality. Results . A multivariate analysis revealed that increased serum level for vWF antigen (vWF:Ag) and MPO antigen (MPO:Ag) were significantly and independently related to high mortality probability: vWF:Ag (IU/ml) – adjusted odds ratio (OR) = 3.360; 95 % confidence interval (95 % Cl) = 1.562–7,228 (р = 0,0019); MPO:Ag (ng/ml) – adjusted OR = 1.062; 95 % = 1.024–1.101 (p = 0.0011). Such data allowed to obtained a simplified mortality score for categorizing patients as those having a higher or lower score compared with the median score level: a high score was associated with lower cumulative survival rate (p < 0.0001), with 50 % of the cases linked to lethal outcome on day 13 post-hospital admission. Conclusion . Severe COVID-19 patients requiring mechanical lung ventilation were found to have elevated level of serum MPO activity and vWF correlating with poor survival.

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)0.001
metaresearch head score (Gemma)0.066
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.066
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.024
GPT teacher head0.311
Teacher spread0.287 · 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