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Impact of adherence to statins on chronic heart failure in primary prevention

2008· article· en· W1997799057 on OpenAlexaffabout
Sylvie Perreault, Alice Dragomir, Lucie Blais, Anick Bérard, Lyne Lalonde, Michel White

Bibliographic record

VenueBritish Journal of Clinical Pharmacology · 2008
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineHeart failureInternal medicineStatinDiseaseCardiologyPrimary preventionCoronary artery diseaseIntensive care medicineCohortPhysical therapy

Abstract

fetched live from OpenAlex

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT • The effects of statins may be beneficial to patients with chronic heart failure. • However, one question that has not yet been answered and that may clarify the role of statins in chronic heart failure (CHF) is whether statins prevent the development of CHF in patients with a low risk of cardiovascular disease (CVD)? WHAT THIS PAPER ADDS • The study results demonstrate that, in primary prevention, adherence to statins has a positive impact on CHF. • This study provides evidence of the potential role of statins in CHF. AIMS Statins are effective in the prevention of an atherosclerotic event, e.g. coronary artery disease and cerebrovascular disease. Patients at high risk of cardiovascular disease (CVD), such as chronic heart failure (CHF), might benefit from the effects of statin therapy. However, one question that has not yet been answered and that may clarify the role of statins in CHF is whether statins prevent the development of CHF in patients with a low risk of CVD. Our aim was to evaluate the impact of adherence to statins on the incidence of CHF. METHODS A cohort of 111 481 patients was reconstructed using the Régie de l'Assurance Maladie du Québec databases. Patients were eligible if they were between 45 and 85 years old, without CVD, and newly treated with statins between 1999 and 2004. A nested case–control design was used to study CHF. Every case of CHF was matched for age and duration of follow‐up in up to 15 randomly selected controls. The adherence level was measured by calculating the medication possession ratio. Rate ratios (RR) of CHF were estimated by conditional logistic regression adjusting for several covariables. RESULTS The mean patient age was 63 years, 49% had hypertension, 21% had diabetes and 41% were male. A high level of adherence to statins was associated with a reduction of CHF (RR 0.81; 0.71, 0.91). The risks associated with CHF were the development of CVD during follow‐up, being a social‐aid recipient, and suffering from hypertension, diabetes mellitus, or having a higher chronic disease score. CONCLUSION Our study indicates that better adherence to statins is associated with a reduced risk of CHF.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.763
Threshold uncertainty score0.448

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.065
GPT teacher head0.449
Teacher spread0.384 · 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 teacher head, 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

Citations37
Published2008
Admission routes2
Has abstractyes

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