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Record W2981802919 · doi:10.1093/eurheartj/ehz748.0396

P1637Rehospitalisations during 26 weeks of follow up from initiation of sacubitril/valsartan after acute decompensated heart failure: An analysis of the TRANSITION study

2019· article· en· W2981802919 on OpenAlexaff
Domingo A. Pascual‐Figal, Klaus K. Witte, Rolf Wachter, Jan Bělohlávek, Ewa Straburzyńska‐Migaj, Cândida Fonseca, Yüksel Çavuşoğlu, Anne–Catherine Pouleur, Christian Mueller, E Lonn, Adele Noè, H. Schwende, W. Bao, Dmytro Butylin, Michele Senni

Bibliographic record

VenueEuropean Heart Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsHamilton Health Sciences
Fundersnot available
KeywordsMedicineEnalaprilSacubitrilSacubitril, ValsartanAcute decompensated heart failureHeart failureEjection fractionClinical endpointValsartanInternal medicineCardiologyClinical trialBlood pressureAngiotensin-converting enzyme

Abstract

fetched live from OpenAlex

Abstract Background Patients with acute decompensated heart failure (ADHF) are at high risk of recurrent hospitalisations and death. In-hospital initiation of sacubitril/valsartan (S/V) reduced the risk for HF re-hospitalisation by 44% compared to enalapril in the PIONEER-HF study during the 8-week follow-up period. We aimed to describe the pattern of readmissions and their causes in the TRANSITION study, which randomised participants to pre-discharge or post-discharge initation of S/V. Methods TRANSITION (NCT02661217) was a randomised, open-label study comparing S/V initiation pre- vs. post-discharge (1–14 days) in haemodynamically stabilised patients with HF with reduced ejection fraction, admitted for ADHF. The primary endpoint was the proportion of patients achieving 97/103 mg S/V twice daily at 10 weeks post-randomisation. Information on rehospitalisation was collected throughout the study up to 26 weeks. Results A total of 493 patients received S/V in the pre-discharge arm and 489 patients in the post-discharge arm. Readmissions due to any cause were reported in 9.7% and 18.1% in the pre-discharge arm vs. 10.6% and 21.3% in the post-discharge arm within 30 days, and 10 weeks respectively. During the 26-weeks follow-up, all-cause readmission was reported in 34.5% of patients in the pre-discharge arm vs. 34.6% in the post-discharge arm. Median time to first rehospitalisation was 67 days in the pre-discharge arm (IQR: 26–110 days) and 50 days (IQR: 23–108 days) in the post-discharge arm. At least one HF hospitalisation was reported in 7.5% of patients in the pre-discharge arm and 7.4% in the post-discharge arm during 10 weeks and in 11.8% and 12.3% of patients, respectively, during 26 weeks of follow-up. Median duration of HF readmission was 7 days (IQR: 4–11 days) in the pre-discharge group and 6.5 days (IQR: 6.5–10 days) in the post-discharge arm. In total 2.6% and 5.5% patients in pre-discharge arm and 3.9% and 7% in the post-discharge arm visited an emergency room during 10 weeks and 26 weeks, respectively. Conclusions Initiation of S/V in patients hospitalised for ADHF either before or shortly after discharge, results in comparable rates of all cause and HF rehospitalisations, as well as emergency room visits without hospital admission over the 26 week follow-up period. HF re-hospitalisations rates at 10 weeks in TRANSITION are in line with the 8% in S/V arm reported in PIONEER-HF during the 8-weeks follow-up. Acknowledgement/Funding The TRANSITION study 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)0.004
metaresearch head score (Gemma)0.004
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 score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.006
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
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 head0.020
GPT teacher head0.280
Teacher spread0.260 · 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
Published2019
Admission routes1
Has abstractyes

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