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Influence of Previous Heart Failure Hospitalization on Cardiovascular Events in Patients With Reduced and Preserved Ejection Fraction

2014· article· en· W2100947680 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCirculation Heart Failure · 2014
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsHamilton Health SciencesMcMaster UniversityPopulation Health Research Institute
FundersNational Heart, Lung, and Blood Institute
KeywordsMedicineEjection fractionHeart failureInternal medicineCardiologyProportional hazards modelRandomizationHeart failure with preserved ejection fractionHazard ratioCandesartanRandomized controlled trialConfidence intervalBlood pressure

Abstract

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BACKGROUND: Hospitalization for acute heart failure (HF) is associated with high rates of subsequent mortality and readmission. We assessed the influence of the time interval between previous HF hospitalization and randomization in the Candesartan in Heart failure: Reduction in Mortality and morbidity (CHARM) trials on clinical outcomes in patients with both reduced and preserved ejection fraction. METHODS AND RESULTS: CHARM enrolled 7599 patients with New York Heart Association class II to IV HF, of whom 5426 had a history of previous HF hospitalization. Cox proportional hazards regression models were used to assess the association between time from previous HF hospitalization and randomization and the primary outcome of cardiovascular death or unplanned admission to hospital for the management of worsening HF during a median of 36.6 months. For patients with HF and reduced or preserved ejection fraction, rates of cardiovascular mortality and HF hospitalization were higher among patients with previous HF hospitalization than those without. The risk for mortality and hospitalization varied inversely with the time interval between hospitalization and randomization. Rates were higher for patients with HF and reduced ejection fraction within each category. Event rates for those with HF with preserved ejection fraction and a HF hospitalization in the 6 months before randomization were comparable with the rate in patients with HF and reduced ejection fraction with no previous HF hospitalization. CONCLUSIONS: Rates of cardiovascular death or HF hospitalization are greatest in those who have been previously hospitalized for HF. Independent of EF, rates of death and readmission decline as time from HF hospitalization to trial enrollment increased. Recent HF hospitalization identifies a high-risk population for future clinical trials in HF and reduced ejection fraction and HF with preserved ejection fraction. CLINICAL TRIAL REGISTRATION URL: http://www.clinicaltrials.gov. Unique identifier: NCT00634400.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.727

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.007
GPT teacher head0.223
Teacher spread0.216 · 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