Twenty-Four-Hour Heart Rate Lowering with Ivabradine in Chronic Heart Failure: Insights from the SHIFT Holter Substudy
Bibliographic record
Abstract
AIMS: Analysis of 24-h Holter recordings was a pre-specified substudy of SHIFT (Systolic Heart Failure Treatment with the If Inhibitor Ivabradine Trial) for exploring the heart rhythm safety of ivabradine and to determine effects of ivabradine on 24-h, daytime, and night-time heart rate (HR) compared with resting office HR. METHODS AND RESULTS: The 24-h Holter monitoring was performed at baseline and 8 months after randomization to ivabradine (n = 298) or matching placebo (n = 304) titrated maximally to 7.5 mg b.i.d. in patients with baseline HR ≥70 b.p.m. Patients received guideline-based optimized heart failure therapy including ACE inhibitors and/or ARBs in 93% and beta-blockers at maximally tolerated doses in 93%. After 8 months, HR over 24 h decreased by 9.5 ± 10.0 b.p.m. with ivabradine, from 75.4 ± 10.3 b.p.m. (P < 0.0001), and by 1.2 ± 8.9 b.p.m. with placebo, from 74.8 ± 9.7 b.p.m. (P < 0.0001 for difference vs. ivabradine). HR reduction with ivabradine was similar in resting office and in 24-h, awake, and asleep recordings, with beneficial effects on HR variability and no meaningful increases in supraventricular or ventricular arrhythmias. At 8 months, 21.3% on ivabradine vs. 8.5% on placebo had ≥1 episode of HR <40 b.p.m. (P < 0.0001). No episode of HR <30 b.p.m. was recorded; 3 (1.2%) patients had RR intervals >2.5 s on ivabradine vs. 4 (1.6%) patients on placebo. No RR intervals >3 s were identified in patients taking ivabradine. CONCLUSION: Ivabradine safely and significantly lowers HR and improves HR variability in patients with systolic heart failure, without inducing significant bradycardia, ventricular arrhythmias, or supraventricular arrhythmias.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".