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Record W4386878555 · doi:10.1093/ehjcvp/pvad054

Cardiovascular preventive actions

2023· editorial· en· W4386878555 on OpenAlexaboutno aff
Stefan Agewall

Bibliographic record

VenueEuropean Heart Journal - Cardiovascular Pharmacotherapy · 2023
Typeeditorial
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Chronic hepatitis C virus (HCV) infection has been associated with inflammation of the cardiovascular system, which in turn might be associated with cardiovascular disease.1–5 Dr Wu and co-workers from Taiwan aimed to investigate the impact of direct-acting antivirals (DAAs) on HCV-associated cardiovascular event retrospective cohort study. The authors concluded that chronic HCV patients treated with DAAs experienced lower rates of cardiovascular events and all-cause mortality than those without treatment. Anthracyclines can cause cancer therapy related cardiac dysfunction (CTRCD).6–10 Dr Thavendiranathan and co-workers from Canada aimed to assess whether statins prevent decline in left ventricular ejection fraction (LVEF) in anthracycline-treated patients at increased risk for CTRCD in a multicentre double-blinded, placebo-controlled trial and patients with cancer who were at increased risk of anthracycline-related CTRCD (per ASCO guidelines). The patients were randomly assigned to atorvastatin 40 mg or placebo once daily. Cardiovascular magnetic resonance (CMR) imaging was performed before and within 4 weeks after anthracyclines. Blood biomarkers were measured at every cycle. The authors concluded that primary prevention with atorvastatin during anthracycline therapy did not ameliorate LVEF decline, LV remodelling, CTRCD, change in serum cardiac biomarkers, or CMR myocardial tissue changes. Current pharmacogenetic guidelines require sequencing of the SLCO1B1 gene, which is more expensive and less accessible than genotyping. Variants in SLCO1B1, which encodes the hepatic transporter OATB1B1, influence statin pharmacokinetics, resulting in an altered plasma concentration of the drug and its metabolites.11 Dr Siddiqui et al. from the UK aimed to develop an easy, clinically implementable functional gene risk score of common variants in SLCO1B1 to identify patients at risk of statin intolerance. The authors concluded that a gene risk score based on four common SLCO1B1 variants provides an easily implemented genetic tool that is more reliable than the current recommended practice in estimating the risk and predicting early-onset statin intolerance. Guideline recommendations12 for the treatment of heart failure with mildly reduced ejection fraction (HFmrEF) derive from small subgroups in post-hoc analyses of randomized trials. Dr Savarese and co-workers investigated predictors of renin–angiotensin system inhibitors/angiotensin receptor neprilysin inhibitors (RASIs/ARNIs) and beta-blocker use13, and the associations between these medications and mortality/morbidity in a large real-world cohort with HFmrEF. Patients with HFmrEF (EF 40–49%) from the Swedish HF Registry were included. This study concluded that RASIs/ARNIs and beta-blockers were extensively used in this large real-world cohort with HFmrEF. Their use was safe since associated with lower mortality and morbidity. The mineralocorticoid receptor antagonist eplerenone14 and spironolactone are beneficial in heart failure (HF) with a reduced ejection fraction, but have not been prospectively compared. In a Danish study by Dr Kristensen et al., the study group compared clinical outcomes, daily dosages, and discontinuation rates for the two drugs in a nationwide cohort. They included 7479 patients: 9% on eplerenone and 91% on spironolactone. They found no differences in clinical outcomes associated with initiation of eplerenone vs. spironolactone. Use of beta-blockers after myocardial infarction (MI) on patients with preserved ejection fraction is controversial.15–17 In another registry study from Denmark, Dr Halili and co-workers studied the effect of discontinuing beta-blockers following MI in comparison to continuous beta-blocker use in optimally treated, stable patients without HF. Among 21 220 first-time MI patients, beta-blocker discontinuation was not associated with an increased risk of all-cause death, cardiovascular death, or recurrent MI compared with patients continuing beta-blockers. The position of the European Society of Cardiology is to avoid the use of non-steroidal anti-inflammatory drugs (NSAIDs) in patients with cardiovascular disease.18 In contrast to these recommendations, patients with MI or HF are frequently prescribed NSAIDs.19–21 It is unknown whether the cardiovascular risks associated with the use of NSAIDs shortly after first-time MI or HF differ between patients continuing and initiating use. Dr Schmidt et al. used nationwide health registries to conduct a cohort study of all patients with first-time MI or HF during 1996–2018 (n = 273 682). They report that NSAID initiators were more susceptible to adverse cardiovascular outcomes after first-time MI or HF than continuing users. Despite the atherosclerotic cardiovascular disease (ASCVD) risk reduction achieved by low-density lipoprotein-cholesterol (LDL-C) lowering therapy, residual ASCVD risk still exists. Previous epidemiological studies have suggested high plasma triglyceride levels as a risk factor or risk marker for ASCVD independent of LDL-C levels. During the battle to lower LDL cholesterol, treatment of elevated triglycerides has partly been forgotten. In a position paper from the ESC Working Group on Cardiovascular Pharmacotherapy, Dr Drexel et al. have highlighted the underlying pathophysiology of hypertriglyceridaemia, the mechanistic action of therapeutic agents, the interpretation of conflicting results on recent clinical trials, and the present options for primary and secondary prevention. The paper was independently handled by an external guest editor not associated with the Working Group. In primary and secondary prevention for patients at very high cardiovascular risk, an LDL-C reduction of ≥50% from baseline and an LDL-C goal of <1.4 mmol/L are recommended. Reduction of LDL-C decreases cardiovascular mortality and morbidity. Bempedoic acid represents a promising novel lipid-modifying agent for patients who cannot reach guideline-recommended LDL-C goals or statin-intolerant patients22, but data on safety and cardiovascular outcomes are limited. Dr Gremmel and co-workers from Austria aimed to systematically review randomized controlled trials investigating bempedoic acid vs. placebo in patients with hyperlipidaemia. They concluded that bempedoic acid reduced non-fatal MI in patients with hyperlipidaemia, whereas it had no significant effect on stroke and all-cause mortality.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.070
Threshold uncertainty score0.234

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0700.013

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 head0.047
GPT teacher head0.346
Teacher spread0.299 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations1
Published2023
Admission routes1
Has abstractyes

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