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Record W2981356979 · doi:10.1093/eurheartj/ehz747.0501

P905Association of ionized serum magnesium with progression of aortic valve calcification

2019· article· en· W2981356979 on OpenAlexaff
Aurélien Mary, H Issa, Agnès Boullier, Lucie Hénaut, Carine Avondo, Michel Brazier, Romuald Mentaverri, Christophe Tribouilloy, David Messika–Zeitoun, Saïd Kamel

Bibliographic record

VenueEuropean Heart Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsOttawa Heart Institute
Fundersnot available
KeywordsMedicineCalcificationStenosisCardiologyInternal medicineAortic valve stenosisAortic valveProspective cohort studyBody surface areaCohort

Abstract

fetched live from OpenAlex

Abstract Background Calcific aortic valve disease (CAVD) is the most common heart valve disease among adults. It is a progressive disease whose final step leads to severe aortic stenosis (AS). Pharmacotherapeutic strategies aimed to limit the progression of valve leaflet calcification could be beneficial to slow-down the CAVD progression and to preserve left ventricular function. Several recent clinical studies demonstrated that lower serum magnesium (Mg) level is associated with vascular calcification. Whether serum magnesium is a determinant of aortic calcific stenosis progression remains unkwown. Methods In an ongoing prospective cohort of AS patients (COFRASA/GENERAC) we studied the association between serum Mg with the aortic valve calcification prevalence and progression. Serum Mg was measured at baseline in both its ionized (iMg) and total (tMg) forms. AS stenosis severity was evaluated at baseline and yearly thereafter using mean pressure gradient (MPG), the aortic valve area indexed to body surface (AVAi) assessed by echocardiography and the degree of aortic valve calcification (AVC) assessed by computed tomography. Annual progression was calculated as: (final measurement − baseline measurement)/follow-up duration. Results We enrolled 356 patients (73.1±10 years, 73% men), the mean follow-up duration was 2.5±2 years. There was a highly significant correlation between iMg and t Mg concentrations values (r=0.85, p<0.0001). Approximately 37% and 25% of patients have respectively iMg values ≤0.45 mmol/L (normal range 0.45–0.60 mmol/L) and t Mg ≤0.80 mmol/L (normal range 0.80–0.95 mmol/L). At baseline, lower i Mg and t Mg were significantly associated with sex, diabètes, lower heamoglobin and hypertension but not with AVC neither with MPG or AVAi. After mean follow-up of 2.5±2 years, the annual mean Log AVC progression was significantly greater (p=0.01) in patients with values of iMg ≤0.45 mmol/L (2,04±0.73) as compared to patients with iMg >0,45 mmol/L (1.78±0.94). Annual Mean MGP and AVAi also progressed greater in patients with low iMg but without reaching a significant level. Similar association was not found with tMg. In multivariate analysis, iMg remained significantly associated with the progression of AVC (odds ratio per 0.1 mmol/L increment [95% confidence interval] = 0.36 [0.15–0.83]; p=0.015) independently of age, tMg, glucose, type 2 diabetes, Tobacco use, baseline AVC, MPG and AVAi. Conclusion In a prospective cohort of asymptomatic patients with a wide range of AS severity, low serum ionized Mg but not low total Mg was independently associated with AVC progression. Acknowledgement/Funding ANR -RHU-STOPAS

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)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.345
Teacher spread0.328 · 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
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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Citations0
Published2019
Admission routes1
Has abstractyes

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