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Record W1984323565 · doi:10.1111/eci.12169

Impact of hypertension and renin–angiotensin system inhibitors in aortic stenosis

2013· article· en· W1984323565 on OpenAlexafffund
Romain Capoulade, Marie‐Annick Clavel, Patrick Mathieu, Nancy Côté, Jean G. Dumesnil, Marie Arsenault, Élisabeth Bédard, Philippe Pîbarot

Bibliographic record

VenueEuropean Journal of Clinical Investigation · 2013
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversité LavalInstitut universitaire de cardiologie et de pneumologie de Québec
FundersCanadian Institutes of Health Research
KeywordsMedicineInternal medicineHazard ratioCardiologyRenin–angiotensin systemStenosisObservational studyBlood pressureConfidence interval

Abstract

fetched live from OpenAlex

BACKGROUND: Experimental studies revealed that renin-angiotensin system (RAS) could play a crucial role in the pathophysiology of aortic stenosis (AS). The objectives of this study were to examine (i) the impact of hypertension on AS progression and clinical events and (ii) the effect of angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin-receptor blockers (ARBs). MATERIALS AND METHODS: In this observational study, we retrospectively analysed clinical and Doppler echocardiographic data prospectively collected in 338 patients with AS. Patients were separated into four groups: patients without hypertension and not treated by RAS medication (Ctrl group), patients with hypertension but not treated by RAS medication (HTN group), patients treated with ACEIs, and patients treated with ARBs. AS progression rate was assessed by the annualized increase in peak aortic jet velocity. RESULTS: Compared with Ctrl group, patients in HTN group had faster stenosis progression (P = 0·01). Patients on ARBs had slower AS progression compared with Ctrl (trend P = 0·10) and HTN (P = 0·002) groups, whereas patients on ACEIs had similar progression rate compared with Ctrl group (P = NS) but lower compared with HTN group (P = 0·02). On multivariable analysis, compared with Ctrl group, HTN group was associated with faster AS progression rate (P = 0·002), whereas ARBs with slower progression (P = 0·0008). During a mean follow-up of 6·2 ± 2·4 years, HTN (hazard ratio [HR] = 2·45; P = 0·006) and ACEI (HR = 2·30; P = 0·01) groups were associated with a significant increase in all-cause mortality compared with Ctrl group, whereas ARB group (HR: 0·89; P = 0·80) not. In multivariable analysis, HTN and ACEI groups remained associated with increased mortality. CONCLUSIONS: Hypertension is associated with significantly faster stenosis progression and higher incidence of clinical events in patients with AS. ARBs but not ACEs were found to abolish the increased risk of mortality associated with hypertension.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.075
GPT teacher head0.369
Teacher spread0.295 · 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".

Quick stats

Citations94
Published2013
Admission routes2
Has abstractyes

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