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Record W4392932865 · doi:10.1016/j.jacc.2024.01.027

Sacubitril/Valsartan in Patients Hospitalized With Decompensated Heart Failure

2024· article· en· W4392932865 on OpenAlexaff
David A. Morrow, Eric J. Velazquez, Akshay S. Desai, Adam D. DeVore, Serge Lepage, Jeong‐Gun Park, Kavita Sharma, Scott D. Solomon, Randall C. Starling, Jonathan H. Ward, Kristin Williamson, Shelley Zieroth, Adrian F. Hernandez, Robert J. Mentz, Eugene Braunwald

Bibliographic record

VenueJournal of the American College of Cardiology · 2024
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsUniversity of ManitobaUniversité de Sherbrooke
FundersNovartis Pharmaceuticals Corporation
KeywordsSacubitrilMedicineValsartanEnalaprilSacubitril, ValsartanHeart failureInternal medicineClinical endpointEjection fractionCardiologyClinical trialNatriuretic peptideBlood pressureAngiotensin-converting enzyme

Abstract

fetched live from OpenAlex

BACKGROUND: The efficacy and safety of sacubitril/valsartan in patients hospitalized with heart failure (HF) across the spectrum of left ventricular ejection fraction (EF) has not been described. OBJECTIVES: Data from randomized trials of sacubitril/valsartan in HF patients with EF ≤40% (PIONEER-HF [Comparison of Sacubitril/Valsartan Versus Enalapril on Effect of NT-proBNP in Patients Stabilized From an Acute Heart Failure Episode] trial) and >40% (PARAGLIDE-HF [Prospective comparison of ARNI with ARB Given following stabiLization In DEcompensated HFpEF] trial) following recent worsening heart failure (WHF) were pooled to examine treatment effect across the EF spectrum. METHODS: The PIONEER-HF and PARAGLIDE-HF trials were double-blind, randomized trials of sacubitril/valsartan vs control therapy (enalapril or valsartan, respectively). All participants in the PIONEER-HF trial and 69.5% in the PARAGLIDE-HF trial were enrolled during hospitalization for HF after stabilization. The remainder in the PARAGLIDE-HF trial were enrolled ≤30 days after a WHF event. The primary endpoint of both trials was time-averaged proportional change in N-terminal pro-B-type natriuretic peptide (NT-proBNP) from baseline through weeks 4 and 8. Adjudicated clinical endpoints were analyzed through the end of follow-up, adjusting for trial. RESULTS: The pooled analysis included 1,347 patients (881 from PIONEER-HF, 466 from PARAGLIDE-HF). Baseline characteristics included median age 66 years, 36% women, 31% Black, 34% de novo HF, and median EF 30%. The reduction in NT-proBNP was 24% greater with sacubitril/valsartan vs control therapy (n = 1,130; ratio of change = 0.76; 95% CI: 0.69-0.83; P < 0.0001). Cardiovascular death or hospitalization for HF was reduced by 30% with sacubitril/valsartan vs control therapy (HR: 0.70; 95% CI: 0.54-0.91; P = 0.0077). This effect was consistent across the spectrum of EF ≤60%. Sacubitril/valsartan increased symptomatic hypotension (risk ratio: 1.35; 95% CI: 1.05-1.72). CONCLUSIONS: In patients stabilized after WHF, sacubitril/valsartan led to a greater reduction in plasma NT-proBNP and improved clinical outcome compared with control therapy, in particular across the spectrum of EF ≤60%. (Comparison of Sacubitril/Valsartan Versus Enalapril on Effect of NT-proBNP in Patients Stabilized From an Acute Heart Failure Episode [PIONEER-HF]; NCT02554890; Changes in NT-proBNP, Safety, and Tolerability in HFpEF Patients With a WHF Event [HFpEF Decompensation] Who Have Been Stabilized and Initiated at the Time of or Within 30 Days Post-decompensation [PARAGLIDE-HF]; NCT03988634).

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)0.002
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.254
Teacher spread0.247 · 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

Citations26
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the American College of Cardiology→Same topicHeart Failure Treatment and Management→French-language works237,207→