MétaCan
Menu
Back to cohort
Record W59663382

Biventricular pacing improves quality of life and exercise tolerance in patients with heart failure and intraventricular conduction delay.

2002· article· en· W59663382 on OpenAlexaff
Andrew D. Krahn, Laura Snell, Raymond Yee, Jane W. Finan, Allan C. Skanes, George J. Klein

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldMedicine
TopicCardiac pacing and defibrillation studies
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineHeart failureCardiologyEjection fractionInternal medicineQuality of life (healthcare)ImplantDilated cardiomyopathySurgery
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Biventricular pacing improves left ventricular dysynchrony, leading to improvement in congestive heart failure symptoms. The extent of placebo effect, the predictors of response and the long term benefits are unknown. PATIENTS AND METHODS: Forty-five patients with symptomatic congestive heart failure underwent implantation of a biventricular pacing system over a 30-month period (age 65 10 years, 37 men). Patients underwent implantation of a biventricular pacemaker or implantable defibrillator one month or longer after stabilization of congestive heart failure on maximal medical therapy, including angiotensin-converting enzyme inhibitors in 84% of patients and beta-blockers in 56% of patients. Three patients had New York Heart Association (NYHA) class II heart failure, 34 had NYHA class III and eight had NYHA class IV. Cardiomyopathy was ischemic in 31 patients, dilated in 12 and the result of other causes in two. The left ventricular ejection fraction was 19 5%. RESULTS: Implantation of the biventricular pacing system was successful in 38 of 45 patients (84%). Two patients had successful implantation with a second attempt, and one patient had an epicardial lead implant. Lead dislodgement occurred in four patients, with successful repositioning in all. During a mean follow-up of 10 7 months, the Minnesota Living with Heart Failure Questionnaire quality of life index score improved from 62 16 to 42 22 at one month (P<0.001), but subsequently returned to intermediate levels (55 26 at three months, 48 26 at six months and 56 34 at one year, P=0.50). In seven patients with deferred device activation, quality of life scores also improved by 10 15 points from baseline to one month with VDI 35 pacing, and improved a further 15 20 points with left ventricular lead activation. The mean NYHA class fell from 3.1 0.5 at baseline to 2.7 0.7 at one month (P=0.006) and remained stable thereafter (2.8 0.9 at three months, 2.8 0.9 at six months). Six patients died during follow-up, one patient had a cardiac transplantation and subsequently died, one patient had a successful cardiac transplantation and one patient underwent insertion of a left ventricular assist device. Death occurred due to progressive heart failure in five patients, sudden death occurred in one patient and a noncardiovascular cause resulted in the death of one patient. An analysis of NYHA responders (NYHA class improvement of 1 or more at last follow-up, 44% of patients) and quality of life responders (score improvement of 10 or more at last follow-up, 57% patients) did not show any difference in age, sex, heart failure etiology, QRS width, ejection fraction or baseline NYHA class. CONCLUSIONS: Biventricular pacing improves quality of life and NYHA class in patients with advanced heart failure and intraventricular conduction delay. The attenuated benefit seen over time may be related to initial placebo effect or simple dual- chamber pacing, or the natural history of the underlying disease. Identification of patients most likely to respond to biventricular pacing was not possible.

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)0.000
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.218
Teacher spread0.201 · 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 designNon-randomized 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

Citations25
Published2002
Admission routes1
Has abstractyes

Explore more

Same venuePubMedSame topicCardiac pacing and defibrillation studiesFrench-language works237,207