MétaCan
Menu
Back to cohort
Record W4402066754 · doi:10.1001/jamacardio.2024.2566

Effects of Sacubitril/Valsartan on All-Cause Hospitalizations in Heart Failure

2024· article· en· W4402066754 on OpenAlexaff
Henri Lu, Brian Claggett, Milton Packer, Carolyn S.P. Lam, Karl Swedberg, Jean L. Rouleau, Michael R. Zile, Martin Lefkowitz, Akshay S. Desai, Pardeep S. Jhund, John J.V. McMurray, Scott D. Solomon, Muthiah Vaduganathan

Bibliographic record

VenueJAMA Cardiology · 2024
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsMedicineSacubitril, ValsartanValsartanSacubitrilHeart failureInternal medicineCardiologyIntensive care medicineEjection fractionBlood pressure

Abstract

fetched live from OpenAlex

Importance: Sacubitril/valsartan is indicated to reduce the risk of cardiovascular death and heart failure (HF) hospitalizations in patients with chronic HF. However, many of these patients are older and have multiple comorbidities that increase the risk of hospitalization for causes other than HF. Objective: To assess the effects of sacubitril/valsartan on hospitalizations of any cause across the spectrum of left ventricular ejection fraction (LVEF). Design, Setting, and Participants: This post hoc, participant-level, pooled analysis of the PARADIGM-HF (in patients with an LVEF ≤40%) and PARAGON-HF (in patients with an LVEF ≥45%) randomized clinical trials was conducted from February 5, 2024, to April 5, 2024. Participants with chronic HF, New York Heart Association classes II through IV symptoms, and elevated natriuretic peptides were randomized to treatment with either sacubitril/valsartan or a renin-angiotensin system inhibitor (RASi)-enalapril in the PARADIGM-HF trial or valsartan in the PARAGON-HF trial. Intervention: Sacubitril/valsartan vs RASi (enalapril or valsartan). Main Outcomes and Measures: The effects of sacubitril/valsartan on time to first investigator-reported all-cause and cause-specific hospitalizations were examined using Cox proportional hazards models, stratified by geographic region and trial. Effect modification by LVEF as a continuous function was examined. Results: Among 13 194 participants in the PARADIGM-HF and PARAGON-HF trials, mean (SD) patient age was 67 (11) years, 8883 patients (67.3%) were male, and mean (SD) LVEF was 40% (15%). Sacubitril/valsartan significantly reduced the risk of all-cause hospitalization (ACH) compared with RASi over a median (IQR) follow-up period of 2.5 (1.8-3.1) years (hazard ratio [HR], 0.92; 95% CI, 0.88-0.97; P = .002). The incidence rate of first ACH was 25 (95% CI, 24-26) per 100 patient-years in the sacubitril/valsartan arm and 27 (95% CI, 26-28) per 100 patient-years in the RASi arm. The absolute risk reduction (ARR) was 2.1 per 100 patient-years, corresponding to a number needed to treat (NNT) of 48 patient-years of treatment exposure to prevent 1 ACH. Reductions in overall hospitalizations seemed primarily driven by lower rates of cardiac and pulmonary hospitalizations with sacubitril/valsartan. Patients in the 2 treatment arms had similar rates of composite noncardiac hospitalizations. Treatment heterogeneity on ACH by LVEF was observed (P for interaction = .03), with benefits most apparent in patients with an LVEF less than 60% (HR, 0.91; 95% CI, 0.86-0.96), but not in patients with an LVEF of 60% or more (HR, 0.97; 95% CI, 0.86-1.09). Conclusions and Relevance: In this post hoc pooled analysis of 13 194 patients with chronic HF in the PARADIGM-HF and PARAGON-HF randomized clinical trials, sacubitril/valsartan significantly reduced hospitalization for any reason, with benefits most apparent in patients with an LVEF below normal. This reduction appeared to be principally driven by lower rates of cardiac and pulmonary hospitalizations. Trial Registrations: ClinicalTrials.gov Identifiers: NCT01035255 (PARADIGM-HF) and NCT01920711 (PARAGON-HF).

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.429

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.287
Teacher spread0.275 · 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 designNot applicable
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

Citations7
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJAMA CardiologySame topicHeart Failure Treatment and ManagementFrench-language works237,207