S ystolic H eart failure treatment with the If inhibitor ivabradine T rial
Effect of ivabradine on recurrent hospitalization for worsening heart failure: findings from SHIFT S...
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![Page 1: Effect of ivabradine on recurrent hospitalization for worsening heart failure: findings from SHIFT S ystolic H eart failure treatment with the I f inhibitor.](https://reader035.fdocuments.net/reader035/viewer/2022062516/56649e0d5503460f94af7261/html5/thumbnails/1.jpg)
Effect of ivabradine on recurrent hospitalization for worsening heart failure:
findings from SHIFT
Systolic Heart failure treatment with
the If inhibitor ivabradine Trial
Jeffrey S Borer
on behalf of
M Böhm, I Ford, M Komajda, L Tavazzi, J Lopez-Sendon, M Alings, E Lopez-de-Sa, K Swedberg, and SHIFT Investigators
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Disclosures
The author and all co-authors are paid consultants
to Servier, manufacturer of ivabradine
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Randomized, double-blind, placebo-controlled trial in 6505
patients to test the hypothesis that heart rate slowing with the
If inhibitor ivabradine improves cardiovascular outcomes in
patients with
• Moderate to severe chronic heart failure (HF)
• Hospitalization for worsening HF within the 12 months prior to
randomization
• Left ventricular ejection fraction 35%
• Sinus rhythm and heart rate 70 bpm
• Receiving guidelines-based background HF therapy
Trial design
Swedberg K, et al. Lancet 2010;376: 875-885.
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0 6 12 18 24 30
Months
40
30
20
10
0
Primary endpoint: composite of CV death or hospitalization for heart failure
- 18%
Cumulative frequency (%)
Placebo
Ivabradine
HR (95% CI), 0.82 (0.75–0.90)
p<0.0001
Swedberg K, et al. Lancet 2010;376: 875-885.
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0 6 12 18 24 30
Months
30
20
10
0
Secondary pre-specified endpoint: hospitalization for heart failure
- 26%
Hospitalization for HF (%)
Placebo
Ivabradine
HR (95% CI), 0.74 (0.66;0.83)
p<0.0001
Swedberg K, et al. Lancet 2010;376: 875-885.
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Objective of the current analysis
To assess the effect of heart rate slowing with
ivabradine on recurrent hospitalizations for
worsening heart failure
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Predominant reason for hospital admissions in patients with HF = worsening HF
High readmission rate after initial hospitalization:
20% within one month
50% within six months
17% are readmitted two or more times
Hospitalization = the major contributor to the cost of HF care
Centers for Medicare and Medicaid Services. 2000 MedPAR data. DRG 127; Fonarow, GC. Rev Cardiovasc Med. 2002;3(suppl 4):S3;
Krumholz HM et al. R Arch Intern Med. 1997 Jan 13;157(1):99-104; Roger VL, Circulation. 2012;125(1):e2-e220.
Rationale: HF hospitalization burden
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Economic burden of chronic HF:
Hospitalization accounts for most CHF-associated costs.
Stewart S et al. Eur J Heart Fail 2002;4:361–71.
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Analysis Plan
• Effect of ivabradine on
• total hospitalizations: incidence rate ratio vs placebo
• repeated hospitalizations:
• total-time approach (time from randomization to 1st, 2nd and 3rd
hospitalization)
• gap-time approach (time from 1st to 2nd hospitalization)
• All approaches adjusted for protocol-specified prognostic factors present
pre-randomization (beta-blocker intake, NYHA class, ischaemic cause of
HF, LV ejection fraction, age, systolic blood pressure, heart rate,
creatinine clearance)
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Pre-randomization characteristics
Number of hospitalizations for HF during trialNone(n=5319)
One (n=714)
Two(n=254)
Three or > (n=218)
p-value
Age (years) 60.0 62.3 61.8 62.4 <0.0001
Male (%) 77 74 77 81 0.18
Heart rate (bpm) 79.3 82.2 83.4 82.2 <0.0001
SBP (mmHg) 122.3 119.8 118.1 117.6 <0.0001
DBP (mmHg) 76.0 75.0 73.4 73.3 <0.0001
LVEF (%) 29.3 27.6 27.8 27.1 <0.0001
NYHA class II (%) 51 38 38 34 <0.0001
NYHA class III/IV (%) 49 62 62 66
Duration of HF (years) 3.3 4.2 4.3 4.6 <0.0001
Diabetes (%) 29 35 35 40 <0.0001
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Pre-randomization background treatment
Number of hospitalizations for HF during trialNone(n=5319)
One (n=714)
Two(n=254)
Three or > (n=218)
p-value
Beta-blockers (%)90 89 80 86 <0.0001
ACEI and/or ARB (%)91 89 90 93 0.13
MRA (%)58 69 67 73 <0.0001
Diuretics (%)82 90 90 95 <0.0001
Digitalis (%)20 30 33 35 <0.0001
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0 6 12 18 24 30
Placebo
Ivabradine
40
10
0
IRR (95% CI), 0.75 (0.65;0.87)
P=0.0002
Cumulative incidence of HF hospitalizations (first and repeated)
Time (months)
20
30
- 25%
Effect of ivabradine on total HF hospitalizations
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Effect of ivabradine on recurrence of hospitalizations for HF
Total-time approach
1.20.80.6 1.00.4
Favours ivabradine Favours placebo
Firsthospitalization
Secondhospitalization
Thirdhospitalization
Placebo(n=3264)
Ivabradine(n=3241)
Hazard ratio
p-value
p<0.001
p<0.001
p=0.012
514 (16%)
189 (6%)
90 (3%)
672 (21%)
283 (9%)
128 (4%)
0.75
0.66
0.71
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Recurrences of HF hospitalizationsGap-time approach = effect on 2nd hospitalisation
Time from 1st hospitalization to 2nd hospitalisation
n=1186 with a first hospitalizationCumulative frequency (%)
Placebo
Ivabradine
HR (95% CI), 0.84 (0.69–1.01)
P=0.058
126 24
00
10
20
30
40
50
60
70
Time from first hospitalization (months)
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Total number of hospitalizations
Ivabradine (N=3241)
Placebo (N=3264)
IRR(*) 95% CI p-value
Hospitalization WHF
902 1211 0.75 0.65-0.87 0.0002
Hospitalization any cause
2661 3110 0.85 0.78-0.94 0.001
Cardiovascular hospitalisation
1909 2272 0.84 0.76-0.94 0.002
Hospitalization other than WHF
1759 1899 0.92 0.83-1.02 0.12
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Limitations
Both of the statistical models have well known limitations total-time approach: treatment effect dependent on
previous hospitalizations (cumulative effect) gap-time approach: restricted set of patients; therefore,
randomization not preserved.
Data on hospitalization burden may be influenced by
differences between health care systems in different countries
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Heart rate reduction with ivabradine in patients with chronic HF, in sinus rhythm, with heart rate ≥70 bpm and already receiving guidelines-suggested therapies substantially decreases the risk of clinical deterioration as reflected by:
reduction in the total hospitalizations for worsening HF
reduction in the incidence of recurrent HF hospitalizations
increase in time to first and subsequent hospitalizations
This benefit reduces the total burden of HF for the patient and can be expected to substantially reduce health care costs
Conclusion
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