Skip to main content
. Author manuscript; available in PMC: 2024 May 1.
Published in final edited form as: Eur J Heart Fail. 2023 Apr 23;25(5):632–641. doi: 10.1002/ejhf.2853

Table 1.

Sensitivity Analysis for the EMPULSE trial Win Ratio Approach

A. Different Ways of Handling HF Events
Criterion to Declare a Win % of Wins using HF Events Overall Result
on empa on placebo Win Ratio (95% CI) P % tied
Number of HF events 10.59% 7.65% 1.36 (1.10, 1.69) 0.0051 6.5%
Time to First HF event 10.79% 8.25% 1.36 (1.09, 1.68) 0.0057 6.4%
Both in Sequence* 10.83% 8.21% 1.36 (1.09, 1.68) 0.0054 6.4%
B. Different Ways of Handling KCCQ-TSS change in 90 days
Criterion to Declare a Win % of Wins using KCCQ Overall Result
on empa on placebo Win Ratio (95% CI) P % tied
any difference 38.94% 30.35% 1.34 (1.09, 1.64) 0.0051 0.5%
≥2 points 38.16% 29.54% 1.34 (1.09, 1.65) 0.0050 2.1%
≥5 points* 35.91% 27.48% 1.36 (1.09, 1.68) 0.0054 6.4%
≥10 points 32.39% 24.06% 1.39 (1.10, 1.75) 0.0050 13.3%
≥15 points 28.83% 20.70% 1.42 (1.11, 1.81) 0.0046 20.3%
KCCQ-TSS not used 0% 0% 1.50 (0.99, 2.26) 0.055 69.5%
*

the pre-specified primary analysis

all analyses are stratified, with multiple imputation for missing KCCQ at 90 days

Table 1A and 1B shows how the win ratio results are affected by a variety of sensitivity analyses. Table 1A shows that the win ratio is virtually unchanged if we use either (i) number of HF events, or (ii) the time to first HF event, or (iii) both in sequence (the pre-specified primary analysis in EMPULSE). Table 1B shows how the win ratio is affected by varying the winning margin required for the KCCQ-TSS or by omitting this level completely. The win ratio increases with larger margins though the p-value remains fairly unchanged.