Abstract

Aims

Dapagliflozin reduced the combined risk of worsening heart failure or cardiovascular death among patients with heart failure with mildly reduced or preserved ejection fraction. In this study, the safety and efficacy of dapagliflozin according to background diuretic therapy and the influence of dapagliflozin on longitudinal diuretic use were evaluated.

Methods and results

In this pre-specified analysis of the Dapagliflozin Evaluation to Improve the LIVEs of Patients With Preserved Ejection Fraction Heart Failure (DELIVER) trial, the effects of dapagliflozin vs. placebo were assessed in the following subgroups: no diuretic, non-loop diuretic, and loop diuretic furosemide equivalent doses of <40, 40, and >40 mg, respectively. Of the 6263 randomized patients, 683 (10.9%) were on no diuretic, 769 (12.3%) were on a non-loop diuretic, and 4811 (76.8%) were on a loop diuretic at baseline. Treatment benefits of dapagliflozin on the primary composite outcome were consistent by diuretic use categories (P  interaction = 0.64) or loop diuretic dose (P  interaction = 0.57). Serious adverse events were similar between dapagliflozin and placebo arms, irrespective of diuretic use or dosing. Dapagliflozin reduced new initiation of loop diuretics by 32% [hazard ratio (HR) 0.68; 95% confidence interval (CI): 0.55–0.84, P < 0.001] but did not influence discontinuations/disruptions (HR 0.98; 95% CI: 0.86–1.13, P = 0.83) in follow-up. First sustained loop diuretic dose increases were less frequent, and sustained dose decreases were more frequent in patients treated with dapagliflozin: net difference of −6.5% (95% CI: −9.4 to −3.6; P < 0.001). The mean dose of loop diuretic increased over time in the placebo arm, a longitudinal increase that was significantly attenuated with treatment with dapagliflozin (placebo-corrected treatment effect of −2.5 mg/year; 95% CI: −1.5, −3.7, P < 0.001).

Conclusion

In patients with heart failure with mildly reduced or preserved ejection fraction, the clinical benefits of dapagliflozin relative to placebo were consistent across a wide range of diuretic categories and doses with a similar safety profile. Treatment with dapagliflozin significantly reduced new loop diuretic requirement over time.

The clinical benefits of dapagliflozin vs. placebo exhibit consistent safety and efficacy across a wide range of background diuretic use. Treatment with dapagliflozin reduces loop diuretic requirement over time. CI, confidence interval; HR, hazard ratio.
Structured Graphical Abstract

The clinical benefits of dapagliflozin vs. placebo exhibit consistent safety and efficacy across a wide range of background diuretic use. Treatment with dapagliflozin reduces loop diuretic requirement over time. CI, confidence interval; HR, hazard ratio.

See the editorial comment for this article ‘SGLT2 inhibitors and diuretics in heart failure: clicking reset on the renal volume setpoint?’, by B.A. Borlaug and J.M. Testani, https://doi.org/10.1093/eurheartj/ehad345.

Introduction

Sodium–glucose co-transporter 2 (SGLT2) inhibitors now represent an important therapeutic pillar in the management of patients with chronic heart failure across the spectrum of left ventricular ejection fraction (LVEF),1–3 demonstrating a significant and sustained reduction in cardiovascular death or worsening heart failure events.4,5 Among other effects, SGLT2 inhibitors promote early natriuresis and diuresis, which may contribute to their clinical benefits in heart failure.6 Diuretic therapy is a cornerstone of the management of patients with heart failure,7 and their concomitant use with SGLT2 inhibitors will be a frequent occurrence. Understanding the interplay between SGLT2 inhibitors and conventional diuretics is therefore of great importance.

While loop diuretics are an essential facet of management of congestion in patients with heart failure, prolonged use, especially at higher doses, may result in neurohormonal activation, electrolyte abnormalities, and kidney dysfunction.8 The use of loop diuretics has been associated with worse clinical outcomes in heart failure9 in a dose-dependent manner.10,11 However, whether loop diuretic use is a mediator of risk or is merely a marker of more advanced disease remains uncertain. SGLT2 inhibitors may enhance diuretic efficiency, with a considerably more favourable neurohormonal, electrolyte, and safety profile than conventional diuretics.12 Whether SGLT2 inhibitors may translate to long-term diuretic sparing is thus important to characterize in the context of heart failure with mildly reduced or preserved ejection fraction. In this pre-specified analysis of the Dapagliflozin Evaluation to Improve the LIVEs of Patients With Preserved Ejection Fraction Heart Failure (DELIVER) trial, we assessed the efficacy and safety of dapagliflozin by background diuretic use and dosing and examined the effect of dapagliflozin on post-randomization changes in diuretic use.

Methods

Study design

The DELIVER trial study design and primary results have been previously reported.3 Briefly, DELIVER was a double-blind, randomized controlled trial which evaluated the effect of dapagliflozin 10 mg once daily vs. placebo among ambulatory or hospitalized patients age ≥40 years with symptomatic heart failure (New York Heart Association class II–IV) and at least intermittent diuretic requirement, LVEF >40%, evidence of structural heart disease, and elevated natriuretic peptides. Background diuretic use and dosing according to local standards of care were maintained throughout the study period. Patients were excluded if they received an SGLT2 inhibitor in the 4 weeks prior to randomization, experienced prior intolerance to SGLT2 inhibitor, had a history of Type 1 diabetes, screening estimated glomerular filtration rate (eGFR) <25 mL/min/1.73 m2, or systolic blood pressure <95 mmHg. The study protocol was approved by the ethics committees at each study site and participants provided written informed consent.

Clinical endpoints

The primary endpoint was a composite of cardiovascular death or worsening heart failure event including hospitalization or urgent visits (requiring intravenous heart failure therapies). Secondary endpoints included total (first and recurrent) heart failure events and cardiovascular death, change in Kansas City Cardiomyopathy Questionnaire (KCCQ) total symptom score at 8 months, cardiovascular death, and all-cause death. The following safety outcomes were also evaluated: any serious adverse event, any adverse event leading to drug discontinuation or interruption, and select other adverse events of interest (including lower limb amputation, volume depletion, and renal adverse events).

Ascertainment of diuretic dose information and diuretic categorization

All patients with information on diuretic treatment were included in this analysis. Only records relating oral administration recorded in ‘g’, ‘μg’, ‘mg’ with standard dose frequency were included. Intermittent, as-needed diuretic therapy was not considered. Of the 13 357 diuretic records identified in DELIVER, 3586 records (27%) were excluded leaving 9771 records (73%) for analysis. For all patients on loop diuretic, a total daily furosemide dose equivalent was calculated. Bumetanide 1 mg, torsemide 20 mg, azosemide 60 mg, and ethacrynic acid 100 mg were considered equivalent to 80 mg of oral furosemide.13,14 Information on diuretic start and stop dates for any diuretic type or dose was collected throughout the study in an effort to capture between visit changes. In analyses of post-baseline changes in diuretic use, patients were excluded at time points with missing or insufficient diuretic dose data and included again at the next available time point. In the analysis of mean loop diuretic dose over time, only patients on a non-zero dose of loop diuretic were included. Where patients were on combination diuretic therapy, they were considered part of the group of the most potent diuretic in the combination for the purpose of analysis (i.e. analysed in the ‘loop diuretic’ subgroup when treated with a combination of loop and thiazide diuretic). Patients treated with a mineralocorticoid receptor antagonist (MRA) alone were included in the ‘no diuretic’ category. The non-loop diuretic category most frequently included patients on thiazide and thiazide-like diuretics.

Statistical analysis

Baseline characteristics were compared according to the following categories defining baseline diuretic use: no diuretic, non-loop diuretic, and furosemide dose equivalents of >40, 40, and <40 mg, respectively. Data are reported as mean ± standard deviation, median (interquartile range) for non-normal distributions, and frequency (percentage) for categorical variables. Student’s t-test, Pearson χ2 test, and ANOVA were used where appropriate.

The treatment effect of dapagliflozin on the primary composite outcome, its components, and all-cause death were evaluated across diuretic categories in time-to-first event analyses using Cox regression and Kaplan–Meier curves. Treatment effects on the KCCQ total symptom score were assessed using repeated measures mixed-effect models, adjusted for baseline value, at 1 and 8 months. Total worsening heart failure events and cardiovascular death were analysed using semi-parametric proportional rates methods of Lin et al. Effects on safety outcomes were assessed with Cox regression in an on-treatment analysis. Interaction testing was carried out to evaluate the interaction between treatment and diuretic type as well as loop diuretic dose.

A repeated measures mixed-effect model was employed to assess temporal changes in mean furosemide equivalent dose over trial time among patients on loop diuretics. Treatment, time, and the interaction between assigned treatment and time were included as fixed effects. Cox-proportional hazards models were used to assess the time to new loop diuretic initiation (among baseline loop diuretic non-users) and discontinuation or disruption (among baseline loop diuretic users). A disruption in loop diuretic use was considered as any interruption in diuretic treatment ≥30 days. Results were displayed with Kaplan–Meier curves. The percentage of all patients experiencing a first sustained change (≥30 days) in loop diuretic dose was compared between treatment groups with regression analysis. All analyses were carried out using STATA version 17.0 (Stata Corp., College Station, TX, USA). A P-value of <0.05 was considered to be statistically significant.

Results

Baseline diuretic use in DELIVER

In DELIVER, of 6263 patients, 10.9% (n = 683) were on no diuretic, 12.3% (n = 769) were on a non-loop diuretic, and 76.8% (n = 4811) were on a loop diuretic at the time of randomization (Table 1). Among those on loop diuretics at baseline, 37.7% (n = 1811) were receiving a furosemide equivalent dose of <40 mg, 39.5% (n = 1902) were on a dose equivalent 40 mg, and 22.8% (n = 1098) were on a dose equivalent >40 mg (Table 1).

Table 1

Baseline characteristics according to diuretic use

No diuretic
(n = 683)
Non-loop diuretic
(n = 769)
<40 mga,b
(n = 1811)
40 mgb
(n = 1902)
>40 mgb
(n = 1098)
P-valuec
Randomized to dapagliflozin338 (49.5)390 (50.7)912 (50.4)939 (49.4)552 (50.3)0.96
Mean furosemide equivalent dose (mg)17 ± 640 ± 3116 ± 95
Age (years)70.4 ± 10.371.5 ± 9.271.8 ± 9.572.2 ± 9.471.5 ± 9.7<0.001
Men377 (55.2)391 (50.8)1061 (58.6)1035 (54.4)652 (59.4)<0.001
Race<0.001
 White377 (55.2)523 (68.0)1162 (64.2)1450 (76.2)927 (84.4)
 Asian232 (34.0)159 (20.7)559 (30.9)222 (11.7)102 (9.3)
 Black or African
 American
9 (1.3)25 (3.3)24 (1.3)57 (3.0)44 (4.0)
Indian or Alaska Native39 (5.7)24 (3.1)48 (2.7)69 (3.6)9 (0.8)
 Other26 (3.8)38 (4.9)18 (1.0)104 (5.5)16 (1.5)
Region<0.001
 Europe and Saudi Arabia249 (36.5)353 (45.9)864 (47.7)929 (48.8)610 (55.6)
 Asia230 (33.7)154 (20.0)542 (29.9)210 (11.0)90 (8.2)
 Latin America154 (22.5)214 (27.8)165 (9.1)519 (27.3)129 (11.7)
 North America50 (7.3)48 (6.2)240 (13.3)244 (12.8)269 (24.5)
Medical history
 Atrial fibrillation/flutter323 (47.3)315 (41.0)1043 (57.6)1121 (58.9)750 (68.3)<0.001
 Prior stroke61 (8.9)61 (7.9)180 (9.9)178 (9.4)117 (10.7)0.33
 Diabetes Mellitus269 (39.4)336 (43.7)738 (40.8)895 (47.1)568 (51.7)<0.001
 Prior MI218 (31.9)274 (25.0)218 (31.9)511 (28.2)465 (24.4)<0.001
 Hypertension591 (86.5)982 (89.4)591 (86.5)1543 (85.2)1723 (90.6)<0.001
 Prior HFH216 (31.6)615 (56.0)216 (31.6)775 (42.8)797 (41.9)<0.001
 Body mass index (kg/m2)27.9 ± 5.229.2 ± 5.428.7 ± 5.830.5 ± 6.232.1 ± 6.6<0.001
Smoking status<0.001
 Current67 (9.8)64 (8.3)138 (7.6)140 (7.4)75 (6.8)
 Former211 (30.9)241 (31.3)647 (35.7)679 (35.7)483 (44.0)
 Never405 (59.3)464 (60.3)1026 (56.7)1083 (56.9)540 (49.2)
NYHA class<0.001
 II566 (82.9)665 (86.5)1415 (78.1)1385 (72.8)682 (62.1)
 III116 (17.0)101 (13.1)392 (21.6)513 (27.0)409 (37.2)
 IV1 (0.1)3 (0.4)3 (0.2)4 (0.2)7 (0.6)
 LVEF (%)5 ± 957 ± 954 ± 954 ± 954 ± 9<0.001
 NT-proBNP (ng/L)875 (579–1503]790 (497–1252)993 (616–1665)1084 (646–1942)1252 (748–2227)<0.001
 Systolic blood pressure (mmHg)127 ± 15132 ± 15128 ± 15128 ± 15126 ± 16<0.001
 Heart rate (bpm)72 ± 1271 ± 1172 ± 1272 ± 1272 ± 120.14
 Creatinine (µmol/L)95 ± 2796 ± 29100 ± 28104 ± 32115 ± 34<0.001
 eGFR (mL/min/1.73 m2)66 ± 1965 ± 1963 ± 1960 ± 1955 ± 19<0.001
 ACEi223 (32.7)249 (32.4)718 (39.6)728 (38.3)377 (34.3)<0.001
 ARB245 (36.0)389 (50.6)586 (32.4)679 (35.7)373 (34.0)<0.001
 ARNI55 (8.1)11 (1.4)105 (5.8)77 (4.0)53 (4.8)<0.001
 Beta blocker549 (80.6)613 (79.7)1508 (83.3)1576 (82.9)931 (84.8)0.031
 MRA543 (79.7)160 (20.8)714 (39.4)741 (39.0)509 (46.4)<0.001
No diuretic
(n = 683)
Non-loop diuretic
(n = 769)
<40 mga,b
(n = 1811)
40 mgb
(n = 1902)
>40 mgb
(n = 1098)
P-valuec
Randomized to dapagliflozin338 (49.5)390 (50.7)912 (50.4)939 (49.4)552 (50.3)0.96
Mean furosemide equivalent dose (mg)17 ± 640 ± 3116 ± 95
Age (years)70.4 ± 10.371.5 ± 9.271.8 ± 9.572.2 ± 9.471.5 ± 9.7<0.001
Men377 (55.2)391 (50.8)1061 (58.6)1035 (54.4)652 (59.4)<0.001
Race<0.001
 White377 (55.2)523 (68.0)1162 (64.2)1450 (76.2)927 (84.4)
 Asian232 (34.0)159 (20.7)559 (30.9)222 (11.7)102 (9.3)
 Black or African
 American
9 (1.3)25 (3.3)24 (1.3)57 (3.0)44 (4.0)
Indian or Alaska Native39 (5.7)24 (3.1)48 (2.7)69 (3.6)9 (0.8)
 Other26 (3.8)38 (4.9)18 (1.0)104 (5.5)16 (1.5)
Region<0.001
 Europe and Saudi Arabia249 (36.5)353 (45.9)864 (47.7)929 (48.8)610 (55.6)
 Asia230 (33.7)154 (20.0)542 (29.9)210 (11.0)90 (8.2)
 Latin America154 (22.5)214 (27.8)165 (9.1)519 (27.3)129 (11.7)
 North America50 (7.3)48 (6.2)240 (13.3)244 (12.8)269 (24.5)
Medical history
 Atrial fibrillation/flutter323 (47.3)315 (41.0)1043 (57.6)1121 (58.9)750 (68.3)<0.001
 Prior stroke61 (8.9)61 (7.9)180 (9.9)178 (9.4)117 (10.7)0.33
 Diabetes Mellitus269 (39.4)336 (43.7)738 (40.8)895 (47.1)568 (51.7)<0.001
 Prior MI218 (31.9)274 (25.0)218 (31.9)511 (28.2)465 (24.4)<0.001
 Hypertension591 (86.5)982 (89.4)591 (86.5)1543 (85.2)1723 (90.6)<0.001
 Prior HFH216 (31.6)615 (56.0)216 (31.6)775 (42.8)797 (41.9)<0.001
 Body mass index (kg/m2)27.9 ± 5.229.2 ± 5.428.7 ± 5.830.5 ± 6.232.1 ± 6.6<0.001
Smoking status<0.001
 Current67 (9.8)64 (8.3)138 (7.6)140 (7.4)75 (6.8)
 Former211 (30.9)241 (31.3)647 (35.7)679 (35.7)483 (44.0)
 Never405 (59.3)464 (60.3)1026 (56.7)1083 (56.9)540 (49.2)
NYHA class<0.001
 II566 (82.9)665 (86.5)1415 (78.1)1385 (72.8)682 (62.1)
 III116 (17.0)101 (13.1)392 (21.6)513 (27.0)409 (37.2)
 IV1 (0.1)3 (0.4)3 (0.2)4 (0.2)7 (0.6)
 LVEF (%)5 ± 957 ± 954 ± 954 ± 954 ± 9<0.001
 NT-proBNP (ng/L)875 (579–1503]790 (497–1252)993 (616–1665)1084 (646–1942)1252 (748–2227)<0.001
 Systolic blood pressure (mmHg)127 ± 15132 ± 15128 ± 15128 ± 15126 ± 16<0.001
 Heart rate (bpm)72 ± 1271 ± 1172 ± 1272 ± 1272 ± 120.14
 Creatinine (µmol/L)95 ± 2796 ± 29100 ± 28104 ± 32115 ± 34<0.001
 eGFR (mL/min/1.73 m2)66 ± 1965 ± 1963 ± 1960 ± 1955 ± 19<0.001
 ACEi223 (32.7)249 (32.4)718 (39.6)728 (38.3)377 (34.3)<0.001
 ARB245 (36.0)389 (50.6)586 (32.4)679 (35.7)373 (34.0)<0.001
 ARNI55 (8.1)11 (1.4)105 (5.8)77 (4.0)53 (4.8)<0.001
 Beta blocker549 (80.6)613 (79.7)1508 (83.3)1576 (82.9)931 (84.8)0.031
 MRA543 (79.7)160 (20.8)714 (39.4)741 (39.0)509 (46.4)<0.001

Data are presented as n (%), mean ± SD, or median (interquartile range).

A small number of patients (n = 185) on loop diuretic at baseline with missing or inadequate dose information were included in this group.

Dose in furosemide equivalents.

P-value for the comparison of no-diuretic, non-loop diuretic, and loop diuretic furosemide dose of <40, 40, and >40 mg.

HFH, heart failure hospitalization; NYHA, New York Heart Association; LVEF, left ventricular ejection fraction; ACEi, angiotensin-converting enzyme inhibitor; ARB, angiotensin receptor blocker; ARNI, angiotensin receptor–neprilysin inhibitor; NT-proBNP, N-terminal prohormone of B-type natriuretic peptide; MRA, mineralocorticoid receptor antagonist; eGFR, estimated glomerular filtration rate; MI, myocardial infarction.

Table 1

Baseline characteristics according to diuretic use

No diuretic
(n = 683)
Non-loop diuretic
(n = 769)
<40 mga,b
(n = 1811)
40 mgb
(n = 1902)
>40 mgb
(n = 1098)
P-valuec
Randomized to dapagliflozin338 (49.5)390 (50.7)912 (50.4)939 (49.4)552 (50.3)0.96
Mean furosemide equivalent dose (mg)17 ± 640 ± 3116 ± 95
Age (years)70.4 ± 10.371.5 ± 9.271.8 ± 9.572.2 ± 9.471.5 ± 9.7<0.001
Men377 (55.2)391 (50.8)1061 (58.6)1035 (54.4)652 (59.4)<0.001
Race<0.001
 White377 (55.2)523 (68.0)1162 (64.2)1450 (76.2)927 (84.4)
 Asian232 (34.0)159 (20.7)559 (30.9)222 (11.7)102 (9.3)
 Black or African
 American
9 (1.3)25 (3.3)24 (1.3)57 (3.0)44 (4.0)
Indian or Alaska Native39 (5.7)24 (3.1)48 (2.7)69 (3.6)9 (0.8)
 Other26 (3.8)38 (4.9)18 (1.0)104 (5.5)16 (1.5)
Region<0.001
 Europe and Saudi Arabia249 (36.5)353 (45.9)864 (47.7)929 (48.8)610 (55.6)
 Asia230 (33.7)154 (20.0)542 (29.9)210 (11.0)90 (8.2)
 Latin America154 (22.5)214 (27.8)165 (9.1)519 (27.3)129 (11.7)
 North America50 (7.3)48 (6.2)240 (13.3)244 (12.8)269 (24.5)
Medical history
 Atrial fibrillation/flutter323 (47.3)315 (41.0)1043 (57.6)1121 (58.9)750 (68.3)<0.001
 Prior stroke61 (8.9)61 (7.9)180 (9.9)178 (9.4)117 (10.7)0.33
 Diabetes Mellitus269 (39.4)336 (43.7)738 (40.8)895 (47.1)568 (51.7)<0.001
 Prior MI218 (31.9)274 (25.0)218 (31.9)511 (28.2)465 (24.4)<0.001
 Hypertension591 (86.5)982 (89.4)591 (86.5)1543 (85.2)1723 (90.6)<0.001
 Prior HFH216 (31.6)615 (56.0)216 (31.6)775 (42.8)797 (41.9)<0.001
 Body mass index (kg/m2)27.9 ± 5.229.2 ± 5.428.7 ± 5.830.5 ± 6.232.1 ± 6.6<0.001
Smoking status<0.001
 Current67 (9.8)64 (8.3)138 (7.6)140 (7.4)75 (6.8)
 Former211 (30.9)241 (31.3)647 (35.7)679 (35.7)483 (44.0)
 Never405 (59.3)464 (60.3)1026 (56.7)1083 (56.9)540 (49.2)
NYHA class<0.001
 II566 (82.9)665 (86.5)1415 (78.1)1385 (72.8)682 (62.1)
 III116 (17.0)101 (13.1)392 (21.6)513 (27.0)409 (37.2)
 IV1 (0.1)3 (0.4)3 (0.2)4 (0.2)7 (0.6)
 LVEF (%)5 ± 957 ± 954 ± 954 ± 954 ± 9<0.001
 NT-proBNP (ng/L)875 (579–1503]790 (497–1252)993 (616–1665)1084 (646–1942)1252 (748–2227)<0.001
 Systolic blood pressure (mmHg)127 ± 15132 ± 15128 ± 15128 ± 15126 ± 16<0.001
 Heart rate (bpm)72 ± 1271 ± 1172 ± 1272 ± 1272 ± 120.14
 Creatinine (µmol/L)95 ± 2796 ± 29100 ± 28104 ± 32115 ± 34<0.001
 eGFR (mL/min/1.73 m2)66 ± 1965 ± 1963 ± 1960 ± 1955 ± 19<0.001
 ACEi223 (32.7)249 (32.4)718 (39.6)728 (38.3)377 (34.3)<0.001
 ARB245 (36.0)389 (50.6)586 (32.4)679 (35.7)373 (34.0)<0.001
 ARNI55 (8.1)11 (1.4)105 (5.8)77 (4.0)53 (4.8)<0.001
 Beta blocker549 (80.6)613 (79.7)1508 (83.3)1576 (82.9)931 (84.8)0.031
 MRA543 (79.7)160 (20.8)714 (39.4)741 (39.0)509 (46.4)<0.001
No diuretic
(n = 683)
Non-loop diuretic
(n = 769)
<40 mga,b
(n = 1811)
40 mgb
(n = 1902)
>40 mgb
(n = 1098)
P-valuec
Randomized to dapagliflozin338 (49.5)390 (50.7)912 (50.4)939 (49.4)552 (50.3)0.96
Mean furosemide equivalent dose (mg)17 ± 640 ± 3116 ± 95
Age (years)70.4 ± 10.371.5 ± 9.271.8 ± 9.572.2 ± 9.471.5 ± 9.7<0.001
Men377 (55.2)391 (50.8)1061 (58.6)1035 (54.4)652 (59.4)<0.001
Race<0.001
 White377 (55.2)523 (68.0)1162 (64.2)1450 (76.2)927 (84.4)
 Asian232 (34.0)159 (20.7)559 (30.9)222 (11.7)102 (9.3)
 Black or African
 American
9 (1.3)25 (3.3)24 (1.3)57 (3.0)44 (4.0)
Indian or Alaska Native39 (5.7)24 (3.1)48 (2.7)69 (3.6)9 (0.8)
 Other26 (3.8)38 (4.9)18 (1.0)104 (5.5)16 (1.5)
Region<0.001
 Europe and Saudi Arabia249 (36.5)353 (45.9)864 (47.7)929 (48.8)610 (55.6)
 Asia230 (33.7)154 (20.0)542 (29.9)210 (11.0)90 (8.2)
 Latin America154 (22.5)214 (27.8)165 (9.1)519 (27.3)129 (11.7)
 North America50 (7.3)48 (6.2)240 (13.3)244 (12.8)269 (24.5)
Medical history
 Atrial fibrillation/flutter323 (47.3)315 (41.0)1043 (57.6)1121 (58.9)750 (68.3)<0.001
 Prior stroke61 (8.9)61 (7.9)180 (9.9)178 (9.4)117 (10.7)0.33
 Diabetes Mellitus269 (39.4)336 (43.7)738 (40.8)895 (47.1)568 (51.7)<0.001
 Prior MI218 (31.9)274 (25.0)218 (31.9)511 (28.2)465 (24.4)<0.001
 Hypertension591 (86.5)982 (89.4)591 (86.5)1543 (85.2)1723 (90.6)<0.001
 Prior HFH216 (31.6)615 (56.0)216 (31.6)775 (42.8)797 (41.9)<0.001
 Body mass index (kg/m2)27.9 ± 5.229.2 ± 5.428.7 ± 5.830.5 ± 6.232.1 ± 6.6<0.001
Smoking status<0.001
 Current67 (9.8)64 (8.3)138 (7.6)140 (7.4)75 (6.8)
 Former211 (30.9)241 (31.3)647 (35.7)679 (35.7)483 (44.0)
 Never405 (59.3)464 (60.3)1026 (56.7)1083 (56.9)540 (49.2)
NYHA class<0.001
 II566 (82.9)665 (86.5)1415 (78.1)1385 (72.8)682 (62.1)
 III116 (17.0)101 (13.1)392 (21.6)513 (27.0)409 (37.2)
 IV1 (0.1)3 (0.4)3 (0.2)4 (0.2)7 (0.6)
 LVEF (%)5 ± 957 ± 954 ± 954 ± 954 ± 9<0.001
 NT-proBNP (ng/L)875 (579–1503]790 (497–1252)993 (616–1665)1084 (646–1942)1252 (748–2227)<0.001
 Systolic blood pressure (mmHg)127 ± 15132 ± 15128 ± 15128 ± 15126 ± 16<0.001
 Heart rate (bpm)72 ± 1271 ± 1172 ± 1272 ± 1272 ± 120.14
 Creatinine (µmol/L)95 ± 2796 ± 29100 ± 28104 ± 32115 ± 34<0.001
 eGFR (mL/min/1.73 m2)66 ± 1965 ± 1963 ± 1960 ± 1955 ± 19<0.001
 ACEi223 (32.7)249 (32.4)718 (39.6)728 (38.3)377 (34.3)<0.001
 ARB245 (36.0)389 (50.6)586 (32.4)679 (35.7)373 (34.0)<0.001
 ARNI55 (8.1)11 (1.4)105 (5.8)77 (4.0)53 (4.8)<0.001
 Beta blocker549 (80.6)613 (79.7)1508 (83.3)1576 (82.9)931 (84.8)0.031
 MRA543 (79.7)160 (20.8)714 (39.4)741 (39.0)509 (46.4)<0.001

Data are presented as n (%), mean ± SD, or median (interquartile range).

A small number of patients (n = 185) on loop diuretic at baseline with missing or inadequate dose information were included in this group.

Dose in furosemide equivalents.

P-value for the comparison of no-diuretic, non-loop diuretic, and loop diuretic furosemide dose of <40, 40, and >40 mg.

HFH, heart failure hospitalization; NYHA, New York Heart Association; LVEF, left ventricular ejection fraction; ACEi, angiotensin-converting enzyme inhibitor; ARB, angiotensin receptor blocker; ARNI, angiotensin receptor–neprilysin inhibitor; NT-proBNP, N-terminal prohormone of B-type natriuretic peptide; MRA, mineralocorticoid receptor antagonist; eGFR, estimated glomerular filtration rate; MI, myocardial infarction.

Patient profiles

Patients on the highest furosemide equivalent doses (>40 mg) at baseline were more often men, with a higher burden of comorbidities, higher body mass index, more severe heart failure symptoms, and more frequently had a prior history of heart failure hospitalization. These patients also had lower baseline eGFR and were more likely to be treated with an MRA but less likely to be treated with sacubitril/valsartan (Table 1).

Efficacy and safety of dapagliflozin according to baseline diuretic use

The cumulative incidence of the primary composite outcome and its components as well as all-cause death were observed to be lowest in patients on non-loop diuretic or no diuretic and highest in patients on furosemide equivalent doses >40 mg (all P < 0.001; Supplementary data online, Figure S1). These findings were consistent when total daily furosemide equivalent dose was analysed as a continuous variable with increasing risk observed at higher furosemide equivalent doses for all evaluated outcomes (Supplementary data online, Figure S2).

The treatment benefit of dapagliflozin compared to placebo on the primary composite outcome did not significantly vary by baseline diuretic use/type (P  interaction = 0.64) or loop diuretic dose (P  interaction = 0.57, Figure 1, Table 2). Similarly, treatment effects on the components of the primary composite endpoint, all-cause death, and change in KCCQ total symptom score at 1 and 8 months was consistent across diuretic use categories (Table 2). Moreover, when baseline loop diuretic dose was analysed as a continuous variable, the treatment effect of dapagliflozin remained consistent across a broad range of doses for all evaluated outcomes (Figure 2). The safety profile of dapagliflozin was consistent across diuretic categories with similar risk of drug discontinuation or interruption due to adverse events between treatment groups. The occurrence of any serious adverse events or study drug discontinuation due to an adverse event suggestive of volume depletion or renal events were also similar between treatment groups, irrespective of diuretic use/type or dose (Table 3).

Forest plot of efficacy outcomes according to categories of background diuretic therapy at randomization.
Figure 1

Forest plot of efficacy outcomes according to categories of background diuretic therapy at randomization.

Treatment effect by baseline furosemide equivalent diuretic dose. The P-values displayed represent the P  interaction of treatment effects of dapagliflozin across a range of furosemide dose equivalents, evaluated as a continuous function. CV, cardiovascular; HF, heart failure.
Figure 2

Treatment effect by baseline furosemide equivalent diuretic dose. The P-values displayed represent the P  interaction of treatment effects of dapagliflozin across a range of furosemide dose equivalents, evaluated as a continuous function. CV, cardiovascular; HF, heart failure.

Table 2

Treatment effect on efficacy outcomes according to background diuretic therapy

Primary compositeNo diuretic
(n = 683)
Non-loop diuretic
(n = 769)
<40 mga
(n = 1811)
40 mga
(n = 1902)
>40 mga
(n = 1098)
Pinteraction (diuretic use/type)Pinteraction (diuretic dose)
PlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozin
Event rate7.35.33.94.28.36.49.87.918.115.3
HR (95% CI)0.74 (0.48–1.12)1.08 (0.67–1.74)0.76 (0.60–0.97)0.81 (0.66–1.00)0.84 (0.68, 1.04)0.640.57
CV death
Event rate3.32.61.62.83.22.64.03.36.35.5
HR (95% CI)0.77 (0.42–1.39)1.82 (0.95–3.50)0.83 (0.57–1.19)0.82 (0.60–1.13)HR = 0.86 (0.62, 1.20)0.310.75
HF event
Event rate4.73.42.71.95.94.86.95.315.412.6
HR (95% CI)0.71 (0.42–1.20)0.69 (0.36–1.31)0.81 (0.61–1.07)0.77 (0.60–0.99)0.82 (0.65, 1.03)0.990.63
HFH
Event rate3.82.52.51.55.24.36.34.814.711.2
HR (95% CI)0.65 (0.36–1.18)0.61 (0.31–1.22)0.83 (0.62–1.11)0.77 (0.59–1.00)0.76 (0.60, 0.97)0.610.91
All-cause death
Event rate5.85.44.34.96.26.49.27.210.711.1
HR (95% CI)0.92 (0.60–1.41)1.14 (0.73–1.76)1.04 (0.81–1.33)0.78 (0.63–0.97)1.03 (0.81, 1.32)0.220.69
KCCQ-TSS
1 month
78.7 ± 20.277.5 ± 19.680.2 ± 17.980.4 ± 18.177.9 ± 19.080.5 ± 16.974.4 ± 19.775.2 ± 20.569.3 ± 22.571.9 ± 22.4
Difference1.7 (−0.7 TO 4.1)1.4 (−0.6 to 3.5)2.0 (0.7–3.3)0.6 (−1.0 to 2.2)4.0 (1.7, 6.3)0.080.13
KCCQ-TSS
8 months
80.1 ± 18.882.0 ± 17.479.6 ± 19.781.5 ± 17.678.8 ± 19.781.6 ± 16.875.0 ± 21.377.1 ± 20.072.5 ± 21.874.7 ± 21.1
Difference3.5 (0.9–6.2)3.5 (0.9–6.1)2.0 (0.4–3.6)1.7 (−0.3 to 3.7)2.9 (0.1, 5.7)0.880.78
Primary compositeNo diuretic
(n = 683)
Non-loop diuretic
(n = 769)
<40 mga
(n = 1811)
40 mga
(n = 1902)
>40 mga
(n = 1098)
Pinteraction (diuretic use/type)Pinteraction (diuretic dose)
PlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozin
Event rate7.35.33.94.28.36.49.87.918.115.3
HR (95% CI)0.74 (0.48–1.12)1.08 (0.67–1.74)0.76 (0.60–0.97)0.81 (0.66–1.00)0.84 (0.68, 1.04)0.640.57
CV death
Event rate3.32.61.62.83.22.64.03.36.35.5
HR (95% CI)0.77 (0.42–1.39)1.82 (0.95–3.50)0.83 (0.57–1.19)0.82 (0.60–1.13)HR = 0.86 (0.62, 1.20)0.310.75
HF event
Event rate4.73.42.71.95.94.86.95.315.412.6
HR (95% CI)0.71 (0.42–1.20)0.69 (0.36–1.31)0.81 (0.61–1.07)0.77 (0.60–0.99)0.82 (0.65, 1.03)0.990.63
HFH
Event rate3.82.52.51.55.24.36.34.814.711.2
HR (95% CI)0.65 (0.36–1.18)0.61 (0.31–1.22)0.83 (0.62–1.11)0.77 (0.59–1.00)0.76 (0.60, 0.97)0.610.91
All-cause death
Event rate5.85.44.34.96.26.49.27.210.711.1
HR (95% CI)0.92 (0.60–1.41)1.14 (0.73–1.76)1.04 (0.81–1.33)0.78 (0.63–0.97)1.03 (0.81, 1.32)0.220.69
KCCQ-TSS
1 month
78.7 ± 20.277.5 ± 19.680.2 ± 17.980.4 ± 18.177.9 ± 19.080.5 ± 16.974.4 ± 19.775.2 ± 20.569.3 ± 22.571.9 ± 22.4
Difference1.7 (−0.7 TO 4.1)1.4 (−0.6 to 3.5)2.0 (0.7–3.3)0.6 (−1.0 to 2.2)4.0 (1.7, 6.3)0.080.13
KCCQ-TSS
8 months
80.1 ± 18.882.0 ± 17.479.6 ± 19.781.5 ± 17.678.8 ± 19.781.6 ± 16.875.0 ± 21.377.1 ± 20.072.5 ± 21.874.7 ± 21.1
Difference3.5 (0.9–6.2)3.5 (0.9–6.1)2.0 (0.4–3.6)1.7 (−0.3 to 3.7)2.9 (0.1, 5.7)0.880.78

Dose in furosemide equivalents.

CI, confidence interval; CV, cardiovascular; HF, heart failure, HFH, heart failure hospitalization; HR, hazard ratio; KCCQ-TSS, Kansas City Cardiomyopathy Questionnaire total symptom score.

Table 2

Treatment effect on efficacy outcomes according to background diuretic therapy

Primary compositeNo diuretic
(n = 683)
Non-loop diuretic
(n = 769)
<40 mga
(n = 1811)
40 mga
(n = 1902)
>40 mga
(n = 1098)
Pinteraction (diuretic use/type)Pinteraction (diuretic dose)
PlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozin
Event rate7.35.33.94.28.36.49.87.918.115.3
HR (95% CI)0.74 (0.48–1.12)1.08 (0.67–1.74)0.76 (0.60–0.97)0.81 (0.66–1.00)0.84 (0.68, 1.04)0.640.57
CV death
Event rate3.32.61.62.83.22.64.03.36.35.5
HR (95% CI)0.77 (0.42–1.39)1.82 (0.95–3.50)0.83 (0.57–1.19)0.82 (0.60–1.13)HR = 0.86 (0.62, 1.20)0.310.75
HF event
Event rate4.73.42.71.95.94.86.95.315.412.6
HR (95% CI)0.71 (0.42–1.20)0.69 (0.36–1.31)0.81 (0.61–1.07)0.77 (0.60–0.99)0.82 (0.65, 1.03)0.990.63
HFH
Event rate3.82.52.51.55.24.36.34.814.711.2
HR (95% CI)0.65 (0.36–1.18)0.61 (0.31–1.22)0.83 (0.62–1.11)0.77 (0.59–1.00)0.76 (0.60, 0.97)0.610.91
All-cause death
Event rate5.85.44.34.96.26.49.27.210.711.1
HR (95% CI)0.92 (0.60–1.41)1.14 (0.73–1.76)1.04 (0.81–1.33)0.78 (0.63–0.97)1.03 (0.81, 1.32)0.220.69
KCCQ-TSS
1 month
78.7 ± 20.277.5 ± 19.680.2 ± 17.980.4 ± 18.177.9 ± 19.080.5 ± 16.974.4 ± 19.775.2 ± 20.569.3 ± 22.571.9 ± 22.4
Difference1.7 (−0.7 TO 4.1)1.4 (−0.6 to 3.5)2.0 (0.7–3.3)0.6 (−1.0 to 2.2)4.0 (1.7, 6.3)0.080.13
KCCQ-TSS
8 months
80.1 ± 18.882.0 ± 17.479.6 ± 19.781.5 ± 17.678.8 ± 19.781.6 ± 16.875.0 ± 21.377.1 ± 20.072.5 ± 21.874.7 ± 21.1
Difference3.5 (0.9–6.2)3.5 (0.9–6.1)2.0 (0.4–3.6)1.7 (−0.3 to 3.7)2.9 (0.1, 5.7)0.880.78
Primary compositeNo diuretic
(n = 683)
Non-loop diuretic
(n = 769)
<40 mga
(n = 1811)
40 mga
(n = 1902)
>40 mga
(n = 1098)
Pinteraction (diuretic use/type)Pinteraction (diuretic dose)
PlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozin
Event rate7.35.33.94.28.36.49.87.918.115.3
HR (95% CI)0.74 (0.48–1.12)1.08 (0.67–1.74)0.76 (0.60–0.97)0.81 (0.66–1.00)0.84 (0.68, 1.04)0.640.57
CV death
Event rate3.32.61.62.83.22.64.03.36.35.5
HR (95% CI)0.77 (0.42–1.39)1.82 (0.95–3.50)0.83 (0.57–1.19)0.82 (0.60–1.13)HR = 0.86 (0.62, 1.20)0.310.75
HF event
Event rate4.73.42.71.95.94.86.95.315.412.6
HR (95% CI)0.71 (0.42–1.20)0.69 (0.36–1.31)0.81 (0.61–1.07)0.77 (0.60–0.99)0.82 (0.65, 1.03)0.990.63
HFH
Event rate3.82.52.51.55.24.36.34.814.711.2
HR (95% CI)0.65 (0.36–1.18)0.61 (0.31–1.22)0.83 (0.62–1.11)0.77 (0.59–1.00)0.76 (0.60, 0.97)0.610.91
All-cause death
Event rate5.85.44.34.96.26.49.27.210.711.1
HR (95% CI)0.92 (0.60–1.41)1.14 (0.73–1.76)1.04 (0.81–1.33)0.78 (0.63–0.97)1.03 (0.81, 1.32)0.220.69
KCCQ-TSS
1 month
78.7 ± 20.277.5 ± 19.680.2 ± 17.980.4 ± 18.177.9 ± 19.080.5 ± 16.974.4 ± 19.775.2 ± 20.569.3 ± 22.571.9 ± 22.4
Difference1.7 (−0.7 TO 4.1)1.4 (−0.6 to 3.5)2.0 (0.7–3.3)0.6 (−1.0 to 2.2)4.0 (1.7, 6.3)0.080.13
KCCQ-TSS
8 months
80.1 ± 18.882.0 ± 17.479.6 ± 19.781.5 ± 17.678.8 ± 19.781.6 ± 16.875.0 ± 21.377.1 ± 20.072.5 ± 21.874.7 ± 21.1
Difference3.5 (0.9–6.2)3.5 (0.9–6.1)2.0 (0.4–3.6)1.7 (−0.3 to 3.7)2.9 (0.1, 5.7)0.880.78

Dose in furosemide equivalents.

CI, confidence interval; CV, cardiovascular; HF, heart failure, HFH, heart failure hospitalization; HR, hazard ratio; KCCQ-TSS, Kansas City Cardiomyopathy Questionnaire total symptom score.

Table 3

Safety outcomes in follow-up by treatment assignment according to background diuretic therapy

Safety outcomeNo diuretic
(n = 683)
Non-loop diuretic
(n = 769)
<40 mga
(n = 1811)
40 mga
(n = 1902)
>40 mga
(n = 1098)
Pinteraction (diuretic use/type)Pinteraction (diuretic dose)
PlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozin
Any SAE143
(41.6%)
126
(37.4%)
135 (35.8%)140
(36.0%)
380
(42.3%)
367
(40.3%)
457 (47.6%)423
(45.1%)
308 (56.4%)305
(55.4%)
0.840.51
Any AE leading to discontinuation of IP15
(4.4%)
19
(5.6%)
11
(2.9%)
23
(5.9%)
57
(6.3%)
57
(6.3%)
54
(5.6%)
41
(4.4%)
44
(8.1%)
42
(7.6%)
0.650.43
Any AE leading to interruption of IP50
(14.5%)
38
(11.3%)
54 (14.3%)48
(12.3%)
131
(14.6%)
122
(13.4%)
148
(15.4%)
125
(13.3%)
111 (20.3%)103
(18.7%)
0.960.50
Any AE that potentially placed a patient at increased risk for a lower limb amputationb14
(4.1%)
11
(3.3%)
11
(2.9%)
8
(2.1%)
48
(5.3%)
46
(5.0%)
57
(5.9%)
60
(6.4%)
69
(12.6%)
63
(11.4%)
0.900.80
Any SAE or DAE suggestive of volume depletion3
(0.9%)
1
(0.3%)
1
(0.3%)
2
(0.5%)
11
(1.2%)
13
(1.4%)
10
(1.0%)
11
(1.2%)
7
(1.3%)
15
(2.7%)
0.500.14
Any renal SAE or DAE6
(1.7%)
5
(1.5%)
4
(1.1%)
6
(1.5%)
18
(2.0%)
15
(1.6%)
18
(1.9%)
20
(2.1%)
33
(6.0%)
27
(4.9%)
0.760.93
Safety outcomeNo diuretic
(n = 683)
Non-loop diuretic
(n = 769)
<40 mga
(n = 1811)
40 mga
(n = 1902)
>40 mga
(n = 1098)
Pinteraction (diuretic use/type)Pinteraction (diuretic dose)
PlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozin
Any SAE143
(41.6%)
126
(37.4%)
135 (35.8%)140
(36.0%)
380
(42.3%)
367
(40.3%)
457 (47.6%)423
(45.1%)
308 (56.4%)305
(55.4%)
0.840.51
Any AE leading to discontinuation of IP15
(4.4%)
19
(5.6%)
11
(2.9%)
23
(5.9%)
57
(6.3%)
57
(6.3%)
54
(5.6%)
41
(4.4%)
44
(8.1%)
42
(7.6%)
0.650.43
Any AE leading to interruption of IP50
(14.5%)
38
(11.3%)
54 (14.3%)48
(12.3%)
131
(14.6%)
122
(13.4%)
148
(15.4%)
125
(13.3%)
111 (20.3%)103
(18.7%)
0.960.50
Any AE that potentially placed a patient at increased risk for a lower limb amputationb14
(4.1%)
11
(3.3%)
11
(2.9%)
8
(2.1%)
48
(5.3%)
46
(5.0%)
57
(5.9%)
60
(6.4%)
69
(12.6%)
63
(11.4%)
0.900.80
Any SAE or DAE suggestive of volume depletion3
(0.9%)
1
(0.3%)
1
(0.3%)
2
(0.5%)
11
(1.2%)
13
(1.4%)
10
(1.0%)
11
(1.2%)
7
(1.3%)
15
(2.7%)
0.500.14
Any renal SAE or DAE6
(1.7%)
5
(1.5%)
4
(1.1%)
6
(1.5%)
18
(2.0%)
15
(1.6%)
18
(1.9%)
20
(2.1%)
33
(6.0%)
27
(4.9%)
0.760.93

Dose in furosemide equivalents.

Preceeding events were identified based on a predefined list of the European Medicines Agency’s Pharmacovigilance Risk Assessment Committee preferred terms.

SAE, serious adverse event; AE, adverse event; IP, investigational product; DAE, adverse events leading to discontinuations.

Table 3

Safety outcomes in follow-up by treatment assignment according to background diuretic therapy

Safety outcomeNo diuretic
(n = 683)
Non-loop diuretic
(n = 769)
<40 mga
(n = 1811)
40 mga
(n = 1902)
>40 mga
(n = 1098)
Pinteraction (diuretic use/type)Pinteraction (diuretic dose)
PlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozin
Any SAE143
(41.6%)
126
(37.4%)
135 (35.8%)140
(36.0%)
380
(42.3%)
367
(40.3%)
457 (47.6%)423
(45.1%)
308 (56.4%)305
(55.4%)
0.840.51
Any AE leading to discontinuation of IP15
(4.4%)
19
(5.6%)
11
(2.9%)
23
(5.9%)
57
(6.3%)
57
(6.3%)
54
(5.6%)
41
(4.4%)
44
(8.1%)
42
(7.6%)
0.650.43
Any AE leading to interruption of IP50
(14.5%)
38
(11.3%)
54 (14.3%)48
(12.3%)
131
(14.6%)
122
(13.4%)
148
(15.4%)
125
(13.3%)
111 (20.3%)103
(18.7%)
0.960.50
Any AE that potentially placed a patient at increased risk for a lower limb amputationb14
(4.1%)
11
(3.3%)
11
(2.9%)
8
(2.1%)
48
(5.3%)
46
(5.0%)
57
(5.9%)
60
(6.4%)
69
(12.6%)
63
(11.4%)
0.900.80
Any SAE or DAE suggestive of volume depletion3
(0.9%)
1
(0.3%)
1
(0.3%)
2
(0.5%)
11
(1.2%)
13
(1.4%)
10
(1.0%)
11
(1.2%)
7
(1.3%)
15
(2.7%)
0.500.14
Any renal SAE or DAE6
(1.7%)
5
(1.5%)
4
(1.1%)
6
(1.5%)
18
(2.0%)
15
(1.6%)
18
(1.9%)
20
(2.1%)
33
(6.0%)
27
(4.9%)
0.760.93
Safety outcomeNo diuretic
(n = 683)
Non-loop diuretic
(n = 769)
<40 mga
(n = 1811)
40 mga
(n = 1902)
>40 mga
(n = 1098)
Pinteraction (diuretic use/type)Pinteraction (diuretic dose)
PlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozinPlaceboDapagliflozin
Any SAE143
(41.6%)
126
(37.4%)
135 (35.8%)140
(36.0%)
380
(42.3%)
367
(40.3%)
457 (47.6%)423
(45.1%)
308 (56.4%)305
(55.4%)
0.840.51
Any AE leading to discontinuation of IP15
(4.4%)
19
(5.6%)
11
(2.9%)
23
(5.9%)
57
(6.3%)
57
(6.3%)
54
(5.6%)
41
(4.4%)
44
(8.1%)
42
(7.6%)
0.650.43
Any AE leading to interruption of IP50
(14.5%)
38
(11.3%)
54 (14.3%)48
(12.3%)
131
(14.6%)
122
(13.4%)
148
(15.4%)
125
(13.3%)
111 (20.3%)103
(18.7%)
0.960.50
Any AE that potentially placed a patient at increased risk for a lower limb amputationb14
(4.1%)
11
(3.3%)
11
(2.9%)
8
(2.1%)
48
(5.3%)
46
(5.0%)
57
(5.9%)
60
(6.4%)
69
(12.6%)
63
(11.4%)
0.900.80
Any SAE or DAE suggestive of volume depletion3
(0.9%)
1
(0.3%)
1
(0.3%)
2
(0.5%)
11
(1.2%)
13
(1.4%)
10
(1.0%)
11
(1.2%)
7
(1.3%)
15
(2.7%)
0.500.14
Any renal SAE or DAE6
(1.7%)
5
(1.5%)
4
(1.1%)
6
(1.5%)
18
(2.0%)
15
(1.6%)
18
(1.9%)
20
(2.1%)
33
(6.0%)
27
(4.9%)
0.760.93

Dose in furosemide equivalents.

Preceeding events were identified based on a predefined list of the European Medicines Agency’s Pharmacovigilance Risk Assessment Committee preferred terms.

SAE, serious adverse event; AE, adverse event; IP, investigational product; DAE, adverse events leading to discontinuations.

Effects of dapagliflozin on diuretic use over time

Among the 1450 patients not treated with a loop diuretic at baseline, new initiations occurred in 346 patients. Dapagliflozin reduced new initiations of loop diuretics by 32% [hazard ratio (HR) 0.68; 95% confidence interval (CI): 0.55–0.84, P < 0.001] (Figure 3). Among the 4811 participants on baseline loop diuretic, there was no significant difference in new loop diuretic discontinuations or disruptions (HR 0.98; 95% CI: 0.86–1.13, P = 0.83) in follow-up.

Treatment effect on loop diuretic use in study follow-up. Kaplan–Meier curves displaying the (A) time to loop diuretic initiation among patients not on loop diuretic at baseline and (B) time to discontinuation or disruption among patients being treated with loop diuretic at baseline are presented. Disruption was defined as any interruption in diuretic use of ≥30 days. CI, confidence interval; HR, hazard ratio.
Figure 3

Treatment effect on loop diuretic use in study follow-up. Kaplan–Meier curves displaying the (A) time to loop diuretic initiation among patients not on loop diuretic at baseline and (B) time to discontinuation or disruption among patients being treated with loop diuretic at baseline are presented. Disruption was defined as any interruption in diuretic use of ≥30 days. CI, confidence interval; HR, hazard ratio.

The mean baseline furosemide equivalent dose, calculated among all patients on loop diuretics, was similar between treatment groups: 51 ± 59 mg in the dapagliflozin arm and 50 ± 61 mg in the placebo arm. Patients randomized to dapagliflozin compared to placebo less frequently experienced a loop diuretic initiation or dose increase (14.8% vs. 19.6%, P < 0.001) and more frequently experienced a loop diuretic discontinuation or dose decrease (14.7% vs. 16.5%, P < 0.001), with a significant net reduction with dapagliflozin of −6.5% (95% CI: −9.4, −3.6, P < 0.001) (Figure 4). These results were consistent when considering dosing changes only among baseline loop diuretic users (Supplementary data online, Table S1). In follow-up, mean loop diuretic dose increased at a rate of 4.5 mg/year (95% CI: 3.4–5.3, P < 0.001) in the placebo group and a rate of 2.0 mg/year (95% CI: 1.2–2.3, P < 0.001) in the dapagliflozin group. Treatment with dapagliflozin significantly attenuated the rate of rise in loop diuretic dose relative to placebo resulting in a mean dose reduction over time of 2.5 mg/year (95% CI: −1.5, −3.7, P < 0.001). The difference in loop diuretic dose requirement between treatment groups emerged after day 60 and increased over time (P  interaction < 0.001) (Figure 4).

Effect of dapagliflozin on (A) first sustained loop diuretic dose change and (B) mean loop diuretic dose over time. The interaction between mean diuretic dosing, treatment allocation, and time was assessed.
Figure 4

Effect of dapagliflozin on (A) first sustained loop diuretic dose change and (B) mean loop diuretic dose over time. The interaction between mean diuretic dosing, treatment allocation, and time was assessed.

Effect of dapagliflozin on diuretic use according to baseline kidney function

There was a significant net reduction in loop diuretic dose with dapagliflozin irrespective of baseline kidney function [eGFR >60 mL/min/1.73 m2: −4.2% (95% CI: −8.0, −0.5, P = 0.027); eGFR 45–60 mL/min/1.73 m2: −7.7% (95% CI: −13.2, −2.3, P = 0.006); eGFR <45–25 mL/min/1.73 m2: −9.6% [−16.7, −2.6, P = 0.007], P  interaction = 0.13] (Figure 5A). When eGFR was analysed as a continuous variable, relative to placebo, dapagliflozin consistently reduced new loop diuretic initiations across the spectrum of baseline kidney function (Figure 5B).

Effect of dapagliflozin on (A) first sustained loop diuretic dose change and (B) new loop diuretic initiation according to baseline kidney function.
Figure 5

Effect of dapagliflozin on (A) first sustained loop diuretic dose change and (B) new loop diuretic initiation according to baseline kidney function.

Discussion

In a pre-specified analysis of the DELIVER trial of patients with heart failure with mildly reduced or preserved ejection fraction, treatment with dapagliflozin compared to placebo resulted in consistent clinical benefits and tolerability across a broad range of diuretic use categories and doses. Dapagliflozin significantly reduced new loop diuretic initiations, dose increases, and mean loop diuretic dose over time, compared to placebo (Structured Graphical Abstract).

Participants in DELIVER with the greatest diuretic requirement expectedly experienced the highest clinical risk across all evaluated outcomes, a finding that is well established in both patients with heart failure with preserved ejection fraction (HFpEF)10,11 and heart failure with reduced ejection fraction (HFrEF).15,16 Nevertheless, the treatment effect of dapagliflozin vs. placebo remained consistent irrespective of background diuretic therapy. These observations are consistent with data on the use of SGLT2 inhibitors in patients with HFrEF in the DAPA-HF trial, where dapagliflozin resulted in similar improvement in clinical outcomes across diuretic subgroups.13 Similarly, in the EMPEROR-Reduced trial, the benefits of empagliflozin did not differ among patients with and without recent volume overload.17 Taken together, these data from DELIVER add to the growing body of literature suggesting the ease of use and practical implementation of SGLT2 inhibitors among patients with a broad spectrum of diuretic requirements, including among those not receiving a diuretic.

In DELIVER, dapagliflozin significantly reduced mean loop diuretic requirement over time in a population of well characterized patients with heart failure with mildly reduced or preserved ejection fraction. Similarly, other SGLT2i including empagliflozin have also been shown to reduce the need for diuretic intensification.4 In contrast, among patients with HFrEF in DAPA-HF, this longitudinal effect on diuretic requirement was less apparent. Notably, a higher proportion of patients were on background diuretic therapy in DELIVER compared to DAPA-HF (89% vs. 81%). Unlike DAPA-HF, DELIVER allowed enrolment of stabilized (no longer requiring intravenous diuretics) patients actively or recently hospitalized for heart failure, which may suggest greater degree of baseline congestion in the DELIVER population. The potential diuretic effect of SGLT2 inhibitors has been postulated to be more marked in the presence of greater volume overload.18,19

Patients with worse kidney function incur greater levels of diuretic resistance and therefore require higher rates and doses of diuretics. Importantly, in this analysis, the diuretic sparing effects of dapagliflozin were consistent across the spectrum of baseline kidney function. These data suggest that such agents may reduce diuretic requirements over time, even in patients with significant kidney disease.

The reduction in mean loop diuretic dose with dapagliflozin appears to be driven by a reduction in new loop diuretic initiations and less need for sustained diuretic dose increase. Interestingly, rates of loop diuretic discontinuation or temporary interruption did not differ significantly between treatment groups. The effects of dapagliflozin to prevent diuretic intensification to a greater degree than effects on diuretic dose reduction or discontinuation is similar to previous observations from adjacent trials.4,5 The need for diuretic intensification in the ambulatory or inpatient setting represents an element of worsening heart failure and carries prognostic significance.20 Given that the reduced need for diuretic up-titration occurred in the context of an overall reduction in loop diuretic requirement that emerged late (day 60) and increased over time, this may reflect dapagliflozin’s combined effect to prevent the progression of heart failure beyond initial decongestion.

Other contributing explanations for these observations should be noted. It is possible that the lack of impact on diuretic discontinuation may reflect clinical inertia to make alterations to diuretic regimens; thereby, resulting in fewer discontinuations even where volume status may have improved.21 The more favourable neurohormonal, renal, and electrolyte profile of these drugs may also result in fewer clinical triggers for diuretic modification with improved volume status.12

In DELIVER, we observed a similar safety profile of dapagliflozin compared to placebo across a range of diuretic doses. Notably, no between-arm differences in the occurrence of renal adverse events or those related to volume depletion were detected even at the highest doses of diuretic. In a similar analysis of dapagliflozin in patients with HFrEF,13 volume depletion was slightly more frequently observed in dapagliflozin treated patients on higher doses of diuretic. Traditionally, the concern for volume depletion has been of greater consequence in patients with HFpEF given the tendency to greater preload dependence in the setting of diastolic dysfunction.22 In this light, the results of the present study are reassuring. Moreover, rates of study drug discontinuation were relatively low and did not differ between arms, highlighting the tolerability of the concomitant use of SGLT2 inhibitors and conventional diuretics.

Certain important limitations of this analysis should be noted. First, missing or inadequate dose information precluded analysis of all patients at certain time points. Second, specific clinical rationale motivating modifications to diuretic regimens was not available and may reflect issues other than volume status alone. Third, while information on diuretic regimens and start and stop dates were collected at study visits, these data were not cross-referenced against pharmacy claims data or other objective sources. Finally, DELIVER did not collect measures of diuresis and natriuresis such as urinary volumes or urinary electrolyte profiles.

In conclusion, in this pre-specified analysis of DELIVER in patients with heart failure and mildly reduced or preserved ejection fraction, dapagliflozin safely improved clinical outcomes across a wide range of diuretic use and doses. Treatment with dapagliflozin significantly reduced loop diuretic requirement over time, which appears to be driven by lower needs for diuretic intensification and underscores dapagliflozin’s effect to prevent worsening heart failure. However, there were limited differences in the necessity for loop diuretic discontinuation or dose reduction between treatment arms. As such, these data may argue against anticipatory loop diuretic dose reduction at the time of SGLT2 inhibitor initiation.

Supplementary data

Supplementary data is available at European Heart Journal online.

Pre-registered clinical trial number

The pre-registered clinical trial number is NCT03619213.

Ethical approval

The study protocol was approved by the ethics committees at each study site and participants provided written informed consent.

Data availability

The trial sponsor is committed to Responsible Data Sharing Principles, including sharing of anonymized individual patient-level data and clinical documents related to DELIVER with qualified researchers. The trial data availability is according to the criteria and processes described at https://astrazenecagrouptrials.pharmacm.com/ST/Submission/Disclosure.

Funding

The DELIVER trial was funded by AstraZeneca.

References

1

Anker
 
SD
,
Butler
 
J
,
Filippatos
 
G
,
Ferreira
 
JP
,
Bocchi
 
E
,
Böhm
 
M
, et al.  
Empagliflozin in heart failure with a preserved ejection fraction
.
N Engl J Med
 
2021
;
385
:
1451
1461
. https://doi.org/10.1056/NEJMoa2107038

2

McMurray
 
JJV
,
Solomon
 
SD
,
Inzucchi
 
SE
,
Køber
 
L
,
Kosiborod
 
MN
,
Martinez
 
FA
, et al.  
Dapagliflozin in patients with heart failure and reduced ejection fraction
.
N Engl J Med
 
2019
;
381
:
1995
2008
. https://doi.org/10.1056/NEJMoa1911303

3

Solomon
 
SD
,
McMurray
 
JJV
,
Claggett
 
B
,
de Boer
 
RA
,
DeMets
 
D
,
Hernandez
 
AF
, et al.  
Dapagliflozin in heart failure with mildly reduced or preserved ejection fraction
.
N Engl J Med
 
2022
;
387
:
1089
1098
. https://doi.org/10.1056/NEJMoa2206286

4

Packer
 
M
,
Butler
 
J
,
Zannad
 
F
,
Filippatos
 
G
,
Ferreira
 
JP
,
Pocock
 
SJ
, et al.  
Effect of empagliflozin on worsening heart failure events in patients with heart failure and preserved ejection fraction: EMPEROR-preserved trial
.
Circulation
 
2021
;
144
:
1284
1294
. https://doi.org/10.1161/CIRCULATIONAHA.121.056824

5

Packer
 
M
,
Anker
 
SD
,
Butler
 
J
,
Filippatos
 
G
,
Ferreira
 
JP
,
Pocock
 
SJ
, et al.  
Effect of empagliflozin on the clinical stability of patients with heart failure and a reduced ejection fraction: the EMPEROR-reduced trial
.
Circulation
 
2021
;
143
:
326
336
. https://doi.org/10.1161/CIRCULATIONAHA.120.051783

6

Tang
 
J
,
Ye
 
L
,
Yan
 
Q
,
Zhang
 
X
,
Wang
 
L
.
Effects of sodium-glucose cotransporter 2 inhibitors on water and sodium metabolism
.
Front Pharmacol
 
2022
;
13
:
800490
. https://doi.org/10.3389/fphar.2022.800490

7

McDonagh
 
TA
,
Metra
 
M
,
Adamo
 
M
,
Gardner
 
RS
,
Baumbach
 
A
,
Böhm
 
M
, et al.  
2021 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure: developed by the task force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC) with the special contribution of the Heart Failure Association (HFA) of the ESC
.
Eur J Heart Fail
 
2021
;
42
:
3599
3726
.

8

Mullens
 
W
,
Damman
 
K
,
Harjola
 
VP
,
Mebazaa
 
A
,
Brunner-La Rocca
 
HP
,
Martens
 
P
, et al.  
The use of diuretics in heart failure with congestion—a position statement from the Heart Failure Association of the European Society of Cardiology
.
Eur J Heart Fail
 
2019
;
21
:
137
155
. https://doi.org/10.1002/ejhf.1369

9

Ahmed
 
A
,
Husain
 
A
,
Love
 
TE
,
Gambassi
 
G
,
Dell'Italia
 
LJ
,
Francis
 
GS
, et al.  
Heart failure, chronic diuretic use, and increase in mortality and hospitalization: an observational study using propensity score methods
.
Eur Heart J
 
2006
;
27
:
1431
1439
. https://doi.org/10.1093/eurheartj/ehi890

10

Kalogeropoulos
 
AP
,
Thankachen
 
J
,
Butler
 
J
,
Fang
 
JC
.
Diuretic and renal effects of spironolactone and heart failure hospitalizations: a TOPCAT Americas analysis
.
Eur J Heart Fail
 
2020
;
22
:
1600
1610
. https://doi.org/10.1002/ejhf.1917

11

Abdel-Qadir
 
HM
,
Tu
 
JV
,
Yun
 
L
,
Austin
 
PC
,
Newton
 
GE
,
Lee
 
DS
.
Diuretic dose and long-term outcomes in elderly patients with heart failure after hospitalization
.
Am Heart J
 
2010
;
160
:
264
271.e1
. https://doi.org/10.1016/j.ahj.2010.05.032

12

Griffin
 
M
,
Rao
 
VS
,
Ivey-Miranda
 
J
,
Fleming
 
J
,
Mahoney
 
D
,
Maulion
 
C
, et al.  
Empagliflozin in heart failure: diuretic and cardiorenal effects
.
Circulation
 
2020
;
142
:
1028
1039
. https://doi.org/10.1161/CIRCULATIONAHA.120.045691

13

Jackson
 
AM
,
Dewan
 
P
,
Anand
 
IS
,
Bělohlávek
 
J
,
Bengtsson
 
O
,
de Boer
 
RA
, et al.  
Dapagliflozin and diuretic use in patients with heart failure and reduced ejection fraction in DAPA-HF
.
Circulation
 
2020
;
142
:
1040
1054
. https://doi.org/10.1161/CIRCULATIONAHA.120.047077

14

Testani
 
JM
,
Brisco
 
MA
,
Turner
 
JM
,
Spatz
 
ES
,
Bellumkonda
 
L
,
Parikh
 
CR
, et al.  
Loop diuretic efficiency: a metric of diuretic responsiveness with prognostic importance in acute decompensated heart failure
.
Circ Heart Fail
 
2014
;
7
:
261
270
. https://doi.org/10.1161/CIRCHEARTFAILURE.113.000895

15

Eshaghian
 
S
,
Horwich
 
TB
,
Fonarow
 
GC
.
Relation of loop diuretic dose to mortality in advanced heart failure
.
Am J Cardiol
 
2006
;
97
:
1759
1764
. https://doi.org/10.1016/j.amjcard.2005.12.072

16

Hasselblad
 
V
,
Gattis Stough
 
W
,
Shah
 
MR
,
Lokhnygina
 
Y
,
O’Connor
 
CM
,
Califf
 
RM
, et al.  
Relation between dose of loop diuretics and outcomes in a heart failure population: results of the ESCAPE trial
.
Eur J Heart Fail
 
2007
;
9
:
1064
1069
. https://doi.org/10.1016/j.ejheart.2007.07.011

17

Packer
 
M
,
Anker
 
SD
,
Butler
 
J
,
Filippatos
 
G
,
Ferreira
 
JP
,
Pocock
 
SJ
, et al.  
Empagliflozin in patients with heart failure, reduced ejection fraction, and volume overload: EMPEROR-reduced trial
.
J Am Coll Cardiol
 
2021
;
77
:
1381
1392
. https://doi.org/10.1016/j.jacc.2021.01.033

18

Ohara
 
K
,
Masuda
 
T
,
Morinari
 
M
,
Okada
 
M
,
Miki
 
A
,
Nakagawa
 
S
, et al.  
The extracellular volume status predicts body fluid response to SGLT2 inhibitor dapagliflozin in diabetic kidney disease
.
Diabetol Metab Syndr
 
2020
;
12
:
37
. https://doi.org/10.1186/s13098-020-00545-z

19

Fukuoka
 
S
,
Dohi
 
K
,
Takeuchi
 
T
,
Moriwaki
 
K
,
Ishiyama
 
M
,
Omori
 
T
, et al.  
Mechanisms and prediction of short-term natriuretic effect of sodium-glucose cotransporter 2 inhibitor in heart failure patients coexisting type 2 diabetes mellitus
.
Heart Vessels
 
2020
;
35
:
1218
1226
. https://doi.org/10.1007/s00380-020-01597-x

20

Mallick
 
A
,
Gandhi
 
PU
,
Gaggin
 
HK
,
Ibrahim
 
N
,
Januzzi
 
JL
.
The importance of worsening heart failure in ambulatory patients: definition, characteristics, and effects of amino-terminal pro-B-type natriuretic peptide guided therapy
.
JACC Heart Fail
 
2016
;
4
:
749
755
. https://doi.org/10.1016/j.jchf.2016.03.012

21

Weeda
 
ER
,
Cassarly
 
C
,
Brinton
 
DL
,
Shirley
 
DW
,
Simpson
 
KN
.
Loop diuretic use among patients with heart failure and type 2 diabetes treated with sodium glucose cotransporter-2 inhibitors
.
J Diabetes Complications
 
2019
;
33
:
567
571
. https://doi.org/10.1016/j.jdiacomp.2019.05.001

22

van Kraaij
 
DJ
,
Jansen
 
RW
,
Sweep
 
FC
,
Hoefnagels
 
WH
.
Neurohormonal effects of furosemide withdrawal in elderly heart failure patients with normal systolic function
.
Eur J Heart Fail
 
2003
;
5
:
47
53
. https://doi.org/10.1016/S1388-9842(02)00205-2

Author notes

Conflict of interest: S.C is supported by the Canadian Arthur J.E. Child’s Cardiology Fellowship. M.V. has received research grant support, served on advisory boards, or had speaker engagements with American Regent, Amgen, AstraZeneca, Bayer AG, Baxter Healthcare, Boehringer Ingelheim, Chiesi, Cytokinetics, Lexicon Pharmaceuticals, Merck, Novartis, Novo Nordisk, Pharmacosmos, Relypsa, Roche Diagnostics, Sanofi, and Tricog Health and participates on clinical trial committees for studies sponsored by AstraZeneca, Galmed, Novartis, Bayer AG, Occlutech, and Impulse Dynamics. B.C. has been a consultant for Amgen, AO Biome, Biogen, Boehringer Ingelheim, Corvia, Gilead, Myokardia, Cardurion, and Novartis. O.V. has received either personal or institutional research support for DELIVER from AstraZeneca. A.S.D. has received research grant support from AstraZeneca, Alnylam, and Novartis; and has received consulting fees and/or honoraria from Abbott, AstraZeneca, Alnylam, Boehringer-Ingelheim, Boston Scientific, Biofourmis, Corvidia, DalCor Pharma, Novartis, Relypsa, and Regeneron. P.S.J. has received consulting fees, advisory board fees, and lecture fees from Novartis, advisory board fees from Cytokinetics, and grant support from Boehringer Ingelheim. R.A.D.’s institution, the UMCG, has received research grants and fees (outside the submitted work) from AstraZeneca, Abbott, Boehringer Ingelheim, Cardio Pharmaceuticals Gmbh, Ionis Pharmaceuticals, Inc, Novo Nordisk, and Roche. R.A.d.B. has received speaker fees from Abbott, AstraZeneca, Bayer, Novartis, and Roche (outside the submitted work). C.S.P.L. is supported by a Clinician Scientist Award from the National Medical Research Council of Singapore; has received research support from AstraZeneca, Bayer, Boston Scientific, and Roche Diagnostics; has served as a consultant or on the advisory board/steering committee/executive committee for Actelion, Amgen, Applied Therapeutics, AstraZeneca, Bayer, Boehringer Ingelheim, Boston Scientific, Cytokinetics, Darma Inc, Us2.ai, Janssen Research & Development LLC, Medscape, Merck, Novartis, Novo Nordisk, Radcliffe Group Ltd, Roche Diagnostics, Sanofi, and WebMD Global LLC; and serves as the cofounder and non-executive director of Us2.ai. M.N.K. has received research grant support from AstraZeneca, and Boehringer Ingelheim; has served as a consultant or on an advisory board for Amgen, Applied Therapeutics, AstraZeneca, Bayer, Boehringer Ingelheim, Eli Lilly, Esperion Therapeutics, Janssen, Merck (Diabetes and Cardiovascular), Novo Nordisk, Sanofi, and Vifor Pharma; has received other research support from AstraZeneca; and has received honorarium from AstraZeneca, Boehringer Ingelheim, and Novo Nordisk. S.J.S. has received either personal or institutional research support for DELIVER from AstraZeneca. F.M. has received personal fees from AstraZeneca. S.E.I. has served on clinical trial committees or as a consultant to AstraZeneca, Boehringer Ingelheim, Novo Nordisk, Merck, Pfizer and has given lectures sponsored by AstraZeneca and Boehringer Ingelheim. A.F.H. has received research grant support from American Regent, Amgen, AstraZeneca, Bayer, Boehringer Ingelheim, Merck, Novartis, Somo-logic, and Verily and has served as a consultant or on the Advisory Board for Amgen, AstraZeneca, Bayer, Boehringer Ingelheim, Boston Scientific, Bristol Myers Squibb, Cytokinetics, Eidos, Intercept, Merck, and Novartis. T.H. reports no disclosures. S.S.M. served on the advisory boards of BridgeBio and Alnylam Pharmaceuticals and also receives speaking fees from Alnylam Pharmaceuticals. Z.M.M. reports no disclosures. M.P. is an employee and shareholder of AstraZeneca. A.M.L. is an employee and shareholder of AstraZeneca. J.J.V.M. has received grants and his employer paid by AstraZeneca, Theracos, and GlaxoSmithKline during the conduct of the study and grants and his employer being paid by Novartis, Amgen, Bristol-Myers Squibb, Bayer, Abb-vie, Dal-Cor, Kidney Research UK, and Cardurion and grants from British Heart Foundation. S.D.S. has received research grants from Actelion, Alnylam, Amgen, AstraZeneca, Bellerophon, Bayer, BMS, Celladon, Cytokinetics, Eidos, Gilead, GSK, Ionis, Lilly, Mesoblast, MyoKardia, NIH/NHLBI, Neurotronik, Novartis, NovoNordisk, Respicardia, Sanofi Pasteur, Theracos, US2.AI and has consulted for Abbott, Action, Akros, Alnylam, Amgen, Arena, AstraZeneca, Bayer, Boeringer-Ingelheim, BMS, Cardior, Cardurion, Corvia, Cytokinetics, Daiichi-Sankyo, GSK, Lilly, Merck, Myokardia, Novartis, Roche, Theracos, Quantum Genomics, Cardurion, Janssen, Cardiac Dimensions, Tenaya, Sanofi-Pasteur, Dinaqor, Tremeau, CellProThera, Moderna, American Regent, Sarepta, Lexicon, Anacardio, Akros, and Puretech Health. The remaining authors have nothing to disclose.

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

Supplementary data