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Record W4306290754 · doi:10.1093/eurheartj/ehac544.976

Prevalent and incident anaemia in PARADIGM-HF and effect of sacubitril/valsartan

2022· article· en· W4306290754 on OpenAlexaff
J Curtain, C Adamson, P S Jhund, Akshay S. Desai, Martin Lefkowitz, Adel R. Rizkala, Joëlle Rouleau, Karl Swedberg, Michael R. Zile, Scott D. Solomon, Milton Packer, John J.V. McMurray

Bibliographic record

VenueEuropean Heart Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsMedicineSacubitrilEnalaprilValsartanClinical endpointInternal medicineHeart failureConcomitantRenal functionSacubitril, ValsartanCardiologyClinical trialAngiotensin-converting enzymeBlood pressure

Abstract

fetched live from OpenAlex

Abstract Background Anaemia is common in patients with HFrEF and is associated with poor clinical outcomes. Although they reduce rates of mortality and heart failure hospitalization, renin-angiotensin (RAS) blockers lower haemoglobin and may induce anaemia. Concomitant neprilysin inhibition might ameliorate this effect of RAS blockers. Purpose We investigated the effect of sacubitril/valsartan compared with enalapril on clinical outcomes, according to anaemia status, and on haemoglobin levels in PARADIGM-HF. Methods Patient characteristics and clinical outcomes were compared between patients with and without anaemia (defined as haemoglobin <120 g/L in women and <130 g/L in men) at baseline. We investigated the effect of randomized treatment (sacubitril/valsartan or enalapril) on clinical outcomes according to anaemia status at screening. We also examined the effect of treatment on change in haemoglobin from baseline and on the incidence of anaemia. The primary endpoint in PARADIGM-HF was the composite of heart failure hospitalization or cardiovascular death. Results Of 8239 participants with a baseline haemoglobin measurement, 1677 (20.4%) were anaemic. Compared to those without anaemia, patients with anaemia had a more severe heart failure profile, worse kidney function, greater neurohormonal derangement and worse clinical outcomes. Sacubitril/valsartan, compared to enalapril, reduced the risk of the primary endpoint similarly in patients with anaemia (HR 0.84, 95% CI 0.71–1.00) and without anaemia (HR 0.78, 95% CI 0.71–0.87), p-value for interaction=0.478. Between baseline and 12 months, haemoglobin decreased by 1.5 (95% CI 1.7 to 1.2) g/L with sacubitril/valsartan compared with 2.3 (2.6 to 2.0) g/L with enalapril group: mean difference 0.8 (95% CI 0.5 to 1.2) g/L, p<0.001. The between-treatment difference apparent by 12 months, persisted up to 36 months. Patients assigned to sacubitril/valsartan were less likely to develop new anaemia at 12 months [321 of 2806 (11.4%)] compared to patients randomized to enalapril [440 of 2384 (15.6%)], odds ratio 0.70 (95% CI 0.60–0.81), p<0.001. Conclusions Compared to enalapril, sacubitril/valsartan reduced mortality and hospitalization in HFrEF patients with and without anaemia. Haemoglobin decreased less with sacubitril/valsartan and the incidence of new anaemia was lower in the sacubitril/valsartan group compared with the enalapril group. Funding Acknowledgement Type of funding sources: Private company. Main funding source(s): PARADIGM-HF was funded by Novartis.

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)0.001
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0010.000

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 head0.020
GPT teacher head0.293
Teacher spread0.273 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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