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Record W4399982650 · doi:10.1002/ejhf.3361

C-Reactive Protein, Inflammation and Short-Term Mortality in Acute Heart Failure

2024· letter· en· W4399982650 on OpenAlexaff
Gad Cotter, Matteo Pagnesi, Beth A. Davison

Bibliographic record

VenueEuropean Journal of Heart Failure · 2024
Typeletter
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsSurgical Specialties (Canada)
Fundersnot available
KeywordsMedicineMomentum (technical analysis)Internal medicineLibrary scienceCardiology

Abstract

fetched live from OpenAlex

This article refers to 'Incremental value of C-reactive protein to the MEESSI acute heart failure risk score' by D. Wussler et al., published in this issue on pages 1749-1758.C-reactive protein (CRP) was shown to be associated with heart failure (HF) more than 70 years ago (Figure 1).In a pivotal study, Elster, Braunwald and Wood 1 detected CRP in the blood of 30 of 40 patients hospitalized with HF -most of rheumatic aetiology.The presence of CRP was associated with more severe HF, as assessed by clinical signs of congestion, higher venous pressure and longer circulatory time.Four of the patients with detectable CRP, and none with non-detectable level, died.There were more recurrent pulmonary oedema events in those with detectable CRP.The authors noted that CRP levels tended to become undetectable in patients who became compensated but were persistently increased before death.CRP was not detectable in another 10 stable ambulatory patients with moderate to severe HF.The question of why CRP is elevated in patients with HF is not clearly understood.CRP is known to be produced in the liver in response to interleukin-6 stimulation 2 but it is also produced in inflammatory cells, the vasculature, and cardiac myocytes.Cardiac, hepatic, and renal dysfunction, as well as obesity, are all associated with higher CRP levels in patients with HF. 3 Since its publication in 1956, a myriad of studies have suggested associations between high CRP levels 3,4 and other inflammatory markers 5 and adverse outcomes in patients with HF.However, the association of CRP with prognosis has not been uniformly confirmed, especially when examined in the context of other biomarkers.For instance, Aimo et al. 6 have noted that although CRP was associated with more adverse outcomes in 9289 patients with stable HF, the effect was no longer statistically significant after accounting for natriuretic peptides and troponin levels.To this large body of literature, we can add the study of Wussler et al. 7 published in this issue of the Journal.In this study, the authors show that the prediction of 30-day mortality risk in patients with acute HF (AHF) is improved by the addition of CRP to the already The opinions expressed in this article are not necessarily those of the Editors of the European Journal of Heart Failure or of the European Society of Cardiology.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.273
Teacher spread0.254 · 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 designObservational
Domainnot available
GenreCommentary

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

Citations4
Published2024
Admission routes1
Has abstractyes

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