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Health-Related Quality of Life Outcomes in PARADIGM-HF

2017· article· en· W2744220975 on OpenAlexaff
Eldrin F. Lewis, Brian Claggett, John J.V. McMurray, Milton Packer, Martin Lefkowitz, Jean L. Rouleau, Jiankang Liu, Victor Shi, Michael R. Zile, Akshay S. Desai, Scott D. Solomon, Karl Swedberg

Bibliographic record

VenueCirculation Heart Failure · 2017
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsMedicineEnalaprilSacubitrilValsartanHeart failureInternal medicineSacubitril, ValsartanRandomizationEjection fractionQuality of life (healthcare)Clinical trialCardiologyAngiotensin-converting enzymeBlood pressure

Abstract

fetched live from OpenAlex

Background Patients with heart failure and reduced ejection fraction have impaired health-related quality of life (HRQL) with variable responses to therapies that target mortality and heart failure hospitalizations. In PARADIGM-HF trial (Prospective Comparison of ARNI [Angiotensin Receptor–Neprilysin Inhibitor] With ACEI [Angiotensin-Converting–Enzyme Inhibitor] to Determine Impact on Global Mortality and Morbidity in Heart Failure), sacubitril/valsartan reduced morbidity and mortality compared with enalapril. Another major treatment goal is to improve HRQL. Given improvements in mortality with sacubitril/valsartan, this analysis provides comprehensive assessment of impact of therapy on HRQL in survivors only. Methods and Results Patients (after run-in phase) completed disease-specific HRQL using Kansas City Cardiomyopathy Questionnaire (KCCQ) at randomization, 4 month, 8 month, and annual visits. Changes in KCCQ scores were calculated using repeated measures analysis of covariance model that adjusted for treatment and baseline values (principal efficacy prespecified at 8 months). Among the 8399 patients enrolled in PARADIGM-HF, 7623 (91%) completed KCCQ scores at randomization with complete data at 8 months for 6881 patients (90% of baseline). At 8 months, sacubitril/valsartan group noted improvements in both KCCQ clinical summary score (+0.64 versus −0.29; P =0.008) and KCCQ overall summary score (+1.13 versus −0.14; P <0.001) in comparison to enalapril group and significantly less proportion of patients with deterioration (≥5 points decrease) of both KCCQ scores (27% versus 31%; P =0.01). Adjusted change scores demonstrated consistent improvements in sacubitril/valsartan compared with enalapril through 36 months. Conclusions Change scores in KCCQ clinical summary scores and KCCQ overall summary scores were better in patients treated with sacubitril/valsartan compared with those treated with enalapril, with consistency in most domains, and persist during follow-up beyond 8 months. These findings demonstrate that sacubitril/valsartan leads to better HRQL in surviving patients with heart failure. Clinical Trial Registration URL: http://www.c linicalt rials.gov . Unique identifier: NCT01035255.

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: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.001
Research integrity0.0000.000
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 head0.064
GPT teacher head0.353
Teacher spread0.290 · 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 designRandomized trial
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

Citations219
Published2017
Admission routes1
Has abstractyes

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