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Abstract 12470: Sacubitril/Valsartan in Patients With Heart Failure and Deterioration of Kidney Function to Estimated Glomerular Filtration Rate Less Than 30ml/min/1.73m <sup>2</sup> : Insights From PARAGON-HF and PARADIGM-HF

2023· article· en· W4389944385 on OpenAlexaff
Safia Chatur, Muthiah Vaduganathan, Brian Claggett, Finnian R. Mc Causland, Akshay S. Desai, Iris E. Beldhuis, Jean L. Rouleau, Michael R. Zile, Milton Packer, Marc A. Pfeffer, Martin Lefkowitz, John J.V. McMurray, Scott D. Solomon

Bibliographic record

VenueCirculation · 2023
Typearticle
Languageen
FieldMedicine
TopicPotassium and Related Disorders
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsMedicineSacubitrilContraindicationRenal functionValsartanSacubitril, ValsartanDiscontinuationInternal medicineUrologyHeart failureCardiologyBlood pressure

Abstract

fetched live from OpenAlex

Background: Sacubitril/valsartan is a foundational therapy for patients with heart failure (HF). Although current US FDA labeling does not identify threshold kidney function below which initiation or continuation of sacubitril/valsartan is precluded, guidelines generally identify eGFR<30mL/min/1.73m 2 as a contraindication to therapy. Methods: The RCTs PARAGON-HF and PARADIGM-HF assessed sacubitril/valsartan versus valsartan or enalapril in patients with HF. Patients with eGFR <30 (PARADIGM) or <25 mL/min/1.73 m 2 (PARAGON) at randomization were excluded. Discontinuation below this eGFR during follow-up was not mandated. We examined the effects of sacubitril/valsartan on efficacy and safety in patients experiencing progression of CKD to eGFR<30mL/min/1.73m 2 in follow-up. Results: Among 4,746 patients in PARAGON-HF and 8,346 patients in PARADIGM-HF (with eGFR>30ml/min/1.73m 2 at randomization), 613 (12.9%) and 691 (8.3%), respectively, had an eGFR<30mL/min/1.73m 2 at least once in follow-up. Patients with CKD progression had higher rates of study drug discontinuation and hyperkalemia (>5.5 mmol/L); however, rates remained similar between treatment groups. Patients with deterioration in kidney function to eGFR<30ml/min/1.73m 2 were at a higher risk of the primary composite outcome in both PARAGON-HF (RR 2.08; 95% CI: 1.72-2.52) and PARADIGM-HF (HR 2.32; 95% CI: 1.94-2.76). The incidence of the primary composite outcome was lower in patients treated with sacubitril/valsartan irrespective of deterioration in kidney function to eGFR<30mL/min/1.73m 2 in both PARAGON-HF (P int =0.74) and PARADIGM-HF (P int =0.50); Figure 1 . Conclusion: HF patients with progression of CKD to eGFR<30ml/min/1.73m 2 experience high risk of CV outcomes and continuation of sacubitril/valsartan was associated with persistent benefit. These data support potential continuation of sacubitril/valsartan, even among patients experiencing progression to advanced CKD.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.231
Teacher spread0.218 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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