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. 2021 Jun 28;23(7):1085–1093. doi: 10.1002/ejhf.2220

Use of diuretics and outcomes in patients with type 2 diabetes: findings from the EMPA‐REG OUTCOME trial

Pierpaolo Pellicori 1,, David Fitchett 2, Mikhail N Kosiborod 3,4, Anne P Ofstad 5, Leo Seman 6, Bernard Zinman 7, Isabella Zwiener 8, Christoph Wanner 9, Jyothis George 10, Silvio E Inzucchi 11, Jeffrey M Testani 12, John GF Cleland 1
PMCID: PMC11497224  PMID: 34031968

Abstract

Aims

Loop diuretics (LD) relieve symptoms and signs of congestion due to heart failure (HF), but many patients prescribed LD do not have such a diagnosis. We studied the relationship between HF diagnosis, use of LD, and outcomes in patients with type 2 diabetes mellitus (T2DM) enrolled in the EMPA‐REG OUTCOME trial.

Methods and results

The relationship between HF diagnosis, use of LD, and outcomes was evaluated in four patient subgroups with T2DM: (i) investigator‐reported HF on LD, (ii) investigator‐reported HF not on LD, (iii) no HF on LD, and (iv) no HF and not on LD, and we assessed their risk of cardiovascular events. Of 7020 participants, 706 (10%) had a diagnosis of HF at baseline, of whom 334 were prescribed LD. However, 755 (11%) patients who did not have a diagnosis of HF were prescribed LD. Compared to those with neither HF nor prescribed LD (reference group; placebo), those with both HF and receiving LD had the highest rates for all‐cause [hazard ratio (HR) (95% confidence interval) 3.19 (2.03–5.01)] and cardiovascular mortality [3.83 [(2.28–6.44)], and HF hospitalizations [9.51 (5.61–16.14)]. Patients without HF but prescribed LD had higher rates for all three outcomes [1.62 (1.10–2.39); 1.97 (1.26–3.08); 3.20 (1.90–5.39)], which were similar to patients with HF who were not receiving LD [1.42 (0.78–2.57); 1.56 (0.78–3.11); 3.00 (1.40–6.40)]. Empagliflozin had similar benefits regardless of subgroup (P for interaction >0.1 for all outcomes).

Conclusion

Patients with T2DM prescribed LD are at greater risk of cardiovascular events even if they are not reported to have HF; this might reflect under‐diagnosis. Empagliflozin was similarly effective in all subgroups investigated.

Keywords: Diuretics, Outcome, Type 2 diabetes mellitus, EMPA‐REG OUTCOME


Cumulative incidence curves for the composite endpoint of heart failure (HF) hospitalization or cardiovascular (CV) mortality, and all‐cause mortality in patients with and without HF, who were prescribed or not a loop diuretic (LD). BL, baseline.

graphic file with name EJHF-23-1085-g001.jpg

Background

Diuretics, especially loop diuretics (LD), are a mainstay of treatment for symptoms and signs of congestion for patients with heart failure (HF). Epidemiological studies indicate that the prevalence of HF in the adult population is around 1.5%, 1 but many more people are prescribed LD to treat symptoms, such as breathlessness, and signs, such as ankle swelling, without further investigation to exclude important diagnoses such as HF. 2 , 3 If LD mask the symptoms and signs of congestion, then the patient may not receive appropriate investigation for cardiac dysfunction, leading to a substantial under‐diagnosis of HF, particularly when left ventricular ejection fraction is preserved (HFpEF). 4

Patients with type 2 diabetes mellitus (T2DM) are at increased risk of developing HF. In the EMPA‐REG OUTCOME trial, which included patients with T2DM and atherosclerotic cardiovascular (CV) disease, only 10% had an investigator‐reported diagnosis of HF, but many others were prescribed LD. 5 We investigated the association between CV outcomes and a diagnosis of HF or prescription of LD at baseline in patients with T2DM in the EMPA‐REG OUTCOME trial and their interaction with the effects of empagliflozin.

Methods

Study design

The design of the EMPA‐REG OUTCOME trial is described in detail elsewhere. 5 , 6 The main inclusion criteria of the trial were a diagnosis of T2DM and atherosclerotic CV disease, age ≥ 18 years, glycated haemoglobin 7–10% (53–86 mmol/mol), body mass index (BMI) ≤45 kg/m2, and an estimated glomerular filtration rate (eGFR) ≥30 mL/min/1.73 m2. In total, 7020 individuals received at least one dose of double‐blind treatment with the sodium–glucose co‐transporter 2 inhibitor (SGLT2i) empagliflozin 10 mg, empagliflozin 25 mg, or placebo, once daily. Investigators were encouraged to follow local guidelines for achieving glycaemic control by adjusting background glucose‐lowering therapy as needed (after the initial 12 weeks of treatment where glucose‐lowering treatment was to be kept unchanged), as well as guidelines for treating other CV risk factors. The trial was conducted in compliance with the Declaration of Helsinki and was approved by local authorities. All patients provided written informed consent prior to taking part in the trial. This post hoc analysis included all trial participants treated with at least one dose of empagliflozin or placebo. A diagnosis of HF at baseline was reported by the investigators based on the narrow standardized Medical Dictionary for Regulatory Activities (MedDRA) query (SMQ) ‘cardiac failure’, which included the following terms: acute pulmonary oedema; cardiac failure; cardiac failure, acute; cardiac failure, chronic; cardiac failure, congestive; cardiogenic shock; cardiopulmonary failure; left ventricular failure; pulmonary oedema; right ventricular failure. For the current analysis, we defined four subgroups at baseline: patients (i) with neither a diagnosis of HF nor prescribed LD, (ii) prescribed LD who did not have a diagnosis of HF, (iii) prescribed LD who had investigator‐reported HF, and (iv) with an investigator‐reported diagnosis of HF but not prescribed LD. We subsequently also explored the outcome of the small subgroup of patients (n = 109) who did not have a diagnosis of HF but were receiving both loop and thiazide diuretics, a powerful diuretic combination.

Outcomes

We explored time to CV death, hospitalization for HF (HHF), HHF or CV death (excluding fatal stroke), HHF or HF death, and all‐cause mortality. All CV, HF and mortality outcomes were prospectively adjudicated by an independent expert committee. In addition, we explored the outcome ‘investigator‐reported HF’ based on the narrow standardized MedDRA query adverse event definition of ‘cardiac failure’, as detailed above.

Statistical analyses

Participant characteristics are given as median (interquartile range) for continuous variables and number and proportion (%) for categorical variables. Baseline characteristics between the four subgroups were compared using Chi‐square test for categorical variables and ANOVA for continuous variables. We used Cox regression models to analyse the risk of the above time to event outcomes. We assessed the risk between subgroups of baseline HF status and use of LD within treatment groups using a model with terms for age, sex, baseline BMI, baseline glycated haemoglobin, baseline eGFR, geographical region, treatment, subgroups at baseline and an interaction of treatment by subgroup at baseline. These variables were selected a priori, and in accordance with the primary analysis of this trial, as defined in the statistical analysis plan and clinical trial protocol. The same Cox regression model was used to assess the treatment effect of empagliflozin across the subgroups. In addition, we calculated absolute risk reductions defined as incidence rate differences and number needed to treat (NNT). NNTs were derived as the reciprocal of the difference between the control and treatment groups in the proportion of patients who experienced a CV event within 3 years of treatment with empagliflozin, assuming exponential distribution of time to events. Poisson regression models were used to calculate the absolute risk reduction, including treatment with a log‐link applied by each subgroup. In the model log (days at risk) for the time to first event, censoring was used as offset. Interaction P‐values were calculated by t‐tests, using the estimated interaction effect and variance of the interaction, as determined from the delta method following Poisson regression. In order to assess whether our findings were specific for the use of LD only, we performed sensitivity analyses studying the association of use of thiazide diuretics at baseline with outcome as well as studying the subgroup of patients using the combination of loop and thiazide diuretics. We calculated change in serum sodium and potassium concentrations from baseline to end of treatment.

All analyses are post hoc and not adjusted for multiplicity. All statistical analyses were performed using SAS software, version 9.4 (SAS Institute Inc., Cary, NC, USA).

Results

Baseline characteristics

Of 7020 participants, 706 (10%) had a diagnosis of HF at baseline, of whom 334 (47%) were prescribed a LD and 372 (53%) were not, 755 (11%) had no HF but were receiving a prescription for a LD, and 5559 (79%) had no HF and were not prescribed a LD, which was used as a reference group (Table 1 ). Furosemide was the most widely used LD (n = 981, for HF and no HF combined), followed by torasemide (n = 81) and, more rarely, bumetanide (n = 31) or ethacrynic acid (n = 2). Patients with a diagnosis of HF receiving a LD or receiving a LD but without a diagnosis of HF had similar characteristics and therapy, including the proportion on angiotensin‐converting enzyme inhibitor (ACEi) or angiotensin receptor blocker (ARB) and beta‐blocker. They differed in many respects from patients who neither had HF nor were prescribed a LD, who were younger, had a shorter duration of T2DM, were less likely to have coronary artery disease (CAD) or macroalbuminuria, had a lower BMI, higher eGFR, and were less likely to be treated with beta‐blockers, ACEi or ARBs and insulin, but more likely to receive a thiazide (Table  1 ). The prevalence of atrial fibrillation increased from 3.7% in the reference group, to 8.7% in those without HF but prescribed a LD, to 16.9% in those with HF (11.6% and 22.8% for those not receiving or receiving a LD, respectively).

Table 1.

Baseline characteristics in pooled treatment groups by subgroups according to baseline heart failure status and use of loop diuretic

Variable No diagnosis of heart failure Diagnosis of heart failure P‐value (comparison across 4 groups)
No loop diuretic (n = 5559) Using loop diuretic (n = 755) No loop diuretic (n = 372) Using loop diuretic (n = 334)
Demographics
Age, years 63 (57–69) 66 (60–71) 64 (58–69) 66 (59–72) <0.0001
Female sex 1562 (28.1) 231 (30.6) 130 (34.9) 81 (24.3) 0.0056
History of stroke 1318 (23.7) 154 (20.4) 101 (27.2) 64 (19.2) 0.016
CAD 4065 (73.1) 649 (86.0) 292 (78.5) 302 (90.4) <0.0001
History of MI 2411 (43.4) 406 (53.8) 242 (65.1) 214 (64.1) <0.0001
PAD 1145 (20.6) 166 (22.0) 78 (21.0) 72 (21.6) 0.82
Atrial fibrillation 204 (3.7) 66 (8.7) 43 (11.6) 76 (22.8) <0.0001
Region <0.0001
Europe 2198 (39.5) 325 (43.0) 244 (65.6) 118 (35.3)
North America 1029 (18.5) 195 (25.8) 51 (13.7) 119 (35.6)
Latin America 909 (16.4) 100 (13.2) 35 (9.4) 37 (11.1)
Africa 232 (4.2) 47 (6.2) 8 (2.2) 26 (7.8)
Asia 1191 (21.4) 88 (11.7) 34 (9.1) 34 (10.2)
BMI, kg/m2 29.7 (26.4–33.3) 32.5 (28.7–36.5) 30.9 (27.4–34.5) 32.6 (28.4–37.3) <0.0001
Systolic BP, mmHg 134 (125–145) 134 (124–147) 136 (125–147) 131 (118–142) <0.0001
Diastolic BP, mmHg 77 (70–83) 74 (67–81) 80 (71–86) 74 (67–81) <0.0001
Time since T2DM diagnosis, years <0.0001
≤1 135 (2.4) 14 (1.9) 19 (5.1) 12 (3.6)
>1 to 5 904 (16.3) 73 (9.7) 62 (16.7) 44 (13.2)
>5 to 10 1407 (25.3) 161 (21.3) 103 (27.7) 75 (22.5)
>10 3113 (56.0) 507 (67.2) 188 (50.5) 203 (60.8)
Blood and urine tests
eGFR, mL/min/1.73 m2 74.7 (61.9–89.2) 62.0 (47.9–76.6) 71.9 (58.4–85.4) 61.3 (48.8–75.7) <0.0001
≥90, mL/min/1.73 m2 1335 (24.0) 93 (12.3) 77 (20.7) 33 (9.9) <0.0001
60 to <90, mL/min/1.73 m2 3011 (54.2) 317 (42.0) 189 (50.8) 144 (43.1)
30 to <60, mL/min/1.73 m2 1198 (21.6) 335 (44.4) 104 (28.0) 155 (46.4)
<30, mL/min/1.73 m2 13 (0.2) 10 (1.3) 2 (0.5) 2 (0.6)
Missing 2 (<0.1) 0 0 (0) 0 (0)
HbA1c, % 7.9 (7.4–8.6) 8.0 (7.5–8.8) 8.0 (7.4–8.6) 7.9 (7.5–8.7) 0.22
LDL‐cholesterol, mg/dL 79 (60–104) 76 (59–99) 92 (66–118) 75 (58–99) <0.0001
UACR <0.0001
Normal 3364 (60.5) 395 (52.3) 221 (59.4) 191 (57.2)
Micro 1583 (28.5) 228 (30.2) 107 (28.8) 95 (28.4)
Macro 555 (10.0) 124 (16.4) 44 (11.8) 46 (13.8)
Missing 57 (1.0) 8 (1.1) 0 (0) 2 (0.6)
Treatments, n (%)
Metformin 4256 (76.6) 491 (65.0) 247 (66.4) 199 (59.6) <0.0001
Insulin 2498 (44.9) 495 (65.6) 185 (49.7) 209 (62.6) <0.0001
Beta‐blocker 3427 (61.6) 568 (75.2) 285 (76.6) 274 (82.0) <0.0001
ACEi/ARB 4417 (79.5) 637 (84.4) 315 (84.7) 297 (88.9) <0.0001
Statin 4238 (76.2) 622 (82.4) 266 (71.5) 277 (82.9) <0.0001
Vitamin K antagonists 221 (4.0) 97 (12.8) 28 (7.5) 76 (22.8) <0.0001
Loop diuretics, thiazides, n (%) Not done
Furosemide NA 680 (90.1) NA 301 (90.1)
Torasemide NA 55 (7.3) NA 26 (7.8)
Bumetanide NA 21 (2.8) NA 10 (3.0)
Ethacrynic acid NA 1 (0.1) NA 1 (0.3)
Hydrochlorothiazide 1239 (22.3) 105 (13.9) 71 (19.1) 23 (6.9)
Chlortalidone 51 (0.9) 3 (0.4) 4 (1.1) 0 (0)

Data given as n (%) or median (interquartile range).

ACEi, angiotensin‐converting‐enzyme inhibitor; ARB, angiotensin receptor blocker; BMI, body mass index; BP, blood pressure; CAD, coronary artery disease; eGFR, estimated glomerular filtration rate; HbA1c, glycated haemoglobin; MI, myocardial infarction; NA, not available; PAD, peripheral artery disease; T2DM, type 2 diabetes mellitus; UACR, urine albumin‐to‐creatinine ratio.

Outcomes according to diagnosis of heart failure and loop diuretic use

Most patients (89.6%) receiving LD at baseline continued them until the end of treatment period. At the end of treatment, LD had been stopped in 26 (7.8%) patients with HF (of whom 6 (5.5%) and 20 (8.9%) had been randomized to placebo and empagliflozin, respectively). Of those without HF, LD had been stopped in 87 (11.5%) patients by end of treatment period (23 (9.1%) and 64 (12.8%) of those randomized to placebo and empagliflozin, respectively).

In the placebo group, compared to those without HF and not receiving a LD (reference group), those with HF not receiving a LD and those without HF but receiving a LD had a similarly greater risk for all CV outcomes, with a 40–60% higher all‐cause mortality and about a threefold greater risk for HHF (Table  2 ). Those with HF receiving a LD had the greatest risk. Similar associations were found in those assigned to empagliflozin (Graphical Abstract). However, empagliflozin reduced the risk of CV events across all four subgroups compared to placebo (P for interaction >0.1 for all, Figure  1 ), also when assessed on the absolute scale (online supplementary  Table S1 ).

Table 2.

Associations between subgroups and cardiovascular and heart failure outcomes in the treatment groups separately

Events No diagnosis of HF Diagnosis of HF
No loop diuretic Using loop diuretic No loop diuretic Using loop diuretic
IR/1000 py HR IR/1000 py HR (95% CI) IR/1000 py HR (95% CI) IR/1000 py HR (95% CI)
Placebo
CV death 15.5 Reference 35.3 1.97 (1.26–3.08) 25.3 1.56 (0.78–3.11)   64.8 3.83 (2.28–6.44)
HHF   8.1 Reference 31.7 3.20 (1.90–5.39) 23.7 3.00 (1.40–6.40)   93.7 9.51 (5.61–16.14)
CV death or HHF a 20.6 Reference 57.6 2.35 (1.63–3.40) 41.4 2.00 (1.15–3.51) 149.1 6.29 (4.26–9.29)
HHF or HF death   8.9 Reference 31.7 2.90 (1.73–4.85) 29.6 3.39 (1.71–6.74) 106.5 9.81 (5.95–16.19)
All‐cause mortality 23.2 Reference 44.8 1.62 (1.10–2.39) 33.7 1.42 (0.78–2.57)   82.8 3.19 (2.03–5.01)
Investigator‐reported HF 13.5 Reference 44.1 2.62 (1.70–4.03) 38.8 2.78 (1.53–5.04) 129.1 7.48 (4.81–11.64)
Empagliflozin
CV death   9.4 Reference 19.7 1.86 (1.22–2.83) 21.3 2.16 (1.23–3.79)   40.7 3.88 (2.46–6.10)
HHF   4.2 Reference 22.9 4.51 (2.85–7.15) 23.9 5.51 (3.06–9.92)   59.9 11.71 (7.38–18.59)
CV death or HHF a 12.4 Reference 39.3 2.72 (1.98–3.75) 41.4 3.27 (2.14–4.99)   89.0 6.11 (4.36–8.56)
HHF or HF death   4.4 Reference 22.9 4.29 (2.72–6.78) 23.9 5.25 (2.92–9.43)   61.8 11.48 (7.29–18.06)
All‐cause mortality 15.6 Reference 27.1 1.52 (1.07–2.16) 28.9 1.80 (1.12–2.90)   62.7 3.47 (2.41–5.00)
Investigator‐reported HF   8.4 Reference 31.0 2.99 (2.07–4.33) 43.8 5.00 (3.24–7.71)   80.9 7.72 (5.31–11.22)

The Cox model includes age, sex, region, baseline glycated haemoglobin, baseline estimated glomerular filtration rate, baseline body mass index, subgroups by HF status and loop diuretic use, treatment, and treatment by subgroup interaction.

CI, confidence interval; CV, cardiovascular; HF, heart failure; HHF, heart failure hospitalization; HR, hazard ratio; IR, incidence rate; py, patients/year.

a

Excludes fatal stroke.

Figure 1.

EJHF-2220-FIG-0001-c

Treatment effect of empagliflozin vs. placebo across subgroups by baseline heart failure (HF) status and use of loop diuretic (LD). The Cox model includes age, sex, region, baseline glycated haemoglobin, baseline estimated glomerular filtration rate, baseline body mass index, subgroups by HF status and LD use, treatment, and treatment by subgroup interaction. CI, confidence interval; CV, cardiovascular; HHF, hospitalization for heart failure; HR, hazard ratio. *Excluding fatal stroke.

Sensitivity analysis

Of those without HF, 1386 were receiving a thiazide, and 4928 were not. Patient characteristics of these two groups were broadly similar (online supplementary  Table S2 ). Rates for CV outcomes were similar for those who were or were not receiving thiazides (online supplementary  Table S3 ). Empagliflozin reduced the risk of all outcomes whether or not patients received thiazides at baseline (P for interaction>0.1; online supplementary  Figure S1 ). The outcome of the small subgroup of patients who were not reported to have HF but were receiving loop and thiazide diuretics in combination was similar to that for patients with HF (online supplementary  Table S4 ).

Safety

Rates of adverse events and serious adverse events, especially those related to renal function, were greater in patients receiving a LD with or without HF compared to the other patients (Table  3 ). Mean serum sodium and potassium concentrations were similar at the beginning and end of the treatment regardless of a HF diagnosis or LD use for patients assigned to placebo or empagliflozin (online supplementary  Table S5 ).

Table 3.

Adverse events reported during the trial by subgroups and treatment

No diagnosis of HF
No loop diuretic Using loop diuretic
Placebo (n = 1835) Empagliflozin (n = 3724) Placebo (n = 254) Empagliflozin (n = 501)
n (%) IR/100 py n (%) IR/100 py n (%) IR/100 py n (%) IR/100 py
Any AE 1666 (90.8) 167.20 3358 (90.2) 146.72 243 (95.7) 249.18 459 (91.6) 174.91
Any SAE 726 (39.6) 20.06 1341 (36.0) 17.14 136 (53.5) 31.28 246 (49.1) 28.67
Confirmed hypoglycaemic event 495 (27.0) 13.32 1023 (27.5) 13.52 87 (34.3) 19.03 165 (32.9) 18.92
Hypoglycaemic event requiring assistance 28 (1.5) 0.61 47 (1.3) 0.48 7 (2.8) 1.13 11 (2.2) 0.92
Urinary tract infection 337 (18.4) 8.21 657 (17.6) 7.59 43 (16.9) 7.54 103 (20.6) 9.87
Genital infection 33 (1.8) 0.72 245 (6.6) 2.62 4 (1.6) 0.64 29 (5.8) 2.49
Decreased renal function 98 (5.3) 2.17 159 (4.3) 1.66 36 (14.2) 6.25 47 (9.4) 4.08
Volume depletion 79 (4.3) 1.75 157 (4.2) 1.65 19 (7.5) 3.21 43 (8.6) 3.75
Hyperkalaemia a 52 (2.8) 1.14 62 (1.7) 0.64 14 (5.5) 2.31 15 (3.0) 1.26
Diagnosis of HF
No loop diuretic Using loop diuretic
Placebo (n = 134) Empagliflozin (n = 238) Placebo (n = 110) Empagliflozin (n = 224)
n (%) IR/100 py n (%) IR/100 py n (%) IR/100 py n (%) IR/100 py
Any AE 121 (90.3) 162.05 200 (84.0) 96.20 109 (99.1) 381.27 213 (95.1) 289.95
Any SAE 62 (46.3) 28.4 80 (33.6) 16.42 64 (58.2) 42.63 122 (54.5) 34.66
Confirmed hypoglycaemic event 30 (22.4) 12.51 49 (20.6) 9.85 38 (34.5) 21.35 66 (29.5) 17.11
Hypoglycaemic event requiring assistance 1 (0.7) 0.33 1 (0.4) 0.17 0 (0) 0 4 (1.8) 0.81
Urinary tract infection 21 (15.7) 7.53 37 (15.5) 6.85 22 (20.0) 11.0 45 (20.1) 10.27
Genital infection 2 (1.5) 0.67 11 (4.6) 1.94 3 (2.7) 1.31 16 (7.1) 3.39
Decreased renal function 5 (3.7) 1.70 16 (6.7) 2.84 16 (14.5) 7.4 24 (10.7) 5.17
Volume depletion 6 (4.5) 2.05 7 (2.9) 1.22 11 (10.0) 4.99 32 (14.3) 6.97
Hyperkalaemia a 6 (4.5) 2.02 5 (2.1) 0.86 6 (5.5) 2.69 11 (4.9) 2.27

Data are for patients who had one or more event and who had received at least one dose of study drug. All events occurred within 7 days after the last receipt of the study drug.

AE, adverse event; HF, heart failure; IR, incidence rate; py, patients/year; SAE, serious adverse event.

a

Hyperkalaemia defined by the MedDRA terms hyperkalaemia and blood potassium increase.

Discussion

In the EMPA‐REG OUTCOME trial, patients treated with LD but who were not reported to have a diagnosis of HF had an adverse prognosis and rather similar characteristics to patients with HF. This was not the case for treatment with thiazide diuretics. Empagliflozin improved outcome overall and there was no evidence of an interaction according to a diagnosis of HF or treatment with LD. To the best of our knowledge, this is the first report that suggests a relationship between LD use and adverse CV outcomes in patients with T2DM without HF but supports a previous observation in a large trial investigating an anticoagulant for patients with atrial fibrillation. 2

A key question is whether patients treated with LD in the absence of a reported diagnosis of HF in EMPA‐REG OUTCOME actually had underlying but unrecognized cardiac dysfunction and HF. The history of myocardial infarction and atrial fibrillation, worse renal function, and greater use of insulin (a sodium‐retaining hormone) at baseline support this hypothesis. However, some patients may have received LD for hypertension, ankle swelling due to venous insufficiency, or for breathlessness due to causes other than HF. These patients might not have an increased risk of CV events, diluting the prognostic contribution of those with unrecognized HF and accounting for the more favourable overall outcome of this group compared to those who had both a diagnosis of HF and receiving a LD.

Patients with a diagnosis of HF who were not receiving LD had a similar prognosis to patients who did not have a diagnosis of HF but who were receiving LD. This could reflect diagnostic inaccuracy in both groups or indicate that when cardiac dysfunction does not lead to congestion and LD prescription, the prognosis is much better than for those who do develop congestion. 7 Other clinical trials of HF also show that patients who are not treated with LD are at lower risk of events, suggesting that lack of congestion is associated with a good outcome. 8 , 9 Guidelines from the European Society of Cardiology state: ‘The aim of diuretic therapy is to achieve and maintain euvolaemia with the lowest achievable dose. … In selected asymptomatic euvolaemic/hypovolaemic patients, the use of a diuretic drug might be (temporarily) discontinued.’ 10 Randomized trials of withdrawing LD from patients with established HF have met with mixed success. 11 , 12 Treating congestion with LD may control the immediate problem, and even be life‐saving but might subsequently accelerate the progression of disease by activation of neuroendocrine systems and unfavourable effects on kidney function and metabolism. However, being sure that a patient is euvolaemic and that LD can be safely reduced or withdrawn is not easy and might expose the patient to the risk of recurrent congestion. Managing diuretics well may be one of the most difficult things a HF specialist is required to do. 13

Interestingly, the proportions of patients prescribed an ACEi and beta‐blocker was similar for patients prescribed LD whether or not they had a diagnosis of HF. These treatments may have been for hypertension or CAD but it is also possible that patients had been diagnosed with HF but this had simply not been recorded. Prescription of a LD should alert clinicians, investigators and trial monitors to a possible diagnosis of HF and the need for further scrutiny of medical records or further investigations. Objective evidence of cardiac dysfunction to support or refute a diagnosis of HF at baseline was not available in EMPA‐REG OUTCOME.

Several studies report an association between diuretic use and adverse outcomes. A post‐hoc analysis of 759 patients enrolled in the Diabetic Retinopathy Study showed that prescription of any type of diuretic to treat hypertension was associated with a more than threefold increase in mortality compared to those who had untreated hypertension. 14 More recently, the Heart Outcomes Prevention Evaluation (HOPE) study evaluated whether ramipril prevented the development of CV complications, including HF, in 9297 high‐risk patients with or without T2DM. In this trial, 15% of participants were receiving a diuretic, although no distinction was made between loop and thiazide diuretic. Diuretic use at baseline (risk ratio 1.76), as well as a diagnosis of diabetes, independently predicted the development of HF. 15 In a Norwegian study of 307 patients (mean age 65 years, of whom 13% had T2DM) with suspected CAD without HF or renal impairment (eGFR <60 mL/min/1.73 m2), those (n = 109) treated with a LD had a higher mortality [HR 1.82 (95% CI 1.20–2.76)] compared to matched controls over the following decade. 16 Cleland et al. 2 analysed data from the SPORTIF trials, and reported that annual mortality increased from 2.1% for patients neither prescribed a LD nor with left ventricular dysfunction (LVD), to 2.5% for those with LVD alone, 4.2% for those prescribed LD who did not have LVD and 6.6% for those with LVD prescribed LD; for death or worsening HF events rates were 3.8%, 7.6%, 8.3% and 16.1%, respectively. Using electronic primary care health records in Sweden, Carlsson and colleagues identified nearly 6000 patients with hypertension and atrial fibrillation. Prescription of LD (n = 2935) was much more common than a diagnosis of HF (n = 894) and was associated with a 39% increase in mortality. 17 Similarly, Friday and colleagues have reported that LD use is common in primary care in the United Kingdom and associated with mortality rates only slightly less than those with a secondary‐care diagnosis of HF. 18 Our data, along with these studies, point to the possibility that cardiac dysfunction and subclinical HF may be under‐recognized in a variety of patient groups, including those with T2DM.

Side effects of LD include activation of the renin–angiotensin–aldosterone and sympathetic nervous systems, 19 , 20 hypokalaemia, calciuria, hypovolaemia, falls and worsening renal function, which might contribute to an increase in morbidity and mortality. Our analyses demonstrate that patients with T2DM treated with a LD had higher rates of adverse events consistent with volume depletion and decreased renal function, regardless of HF status. However, LD are a pharmaco‐epidemiological signature of symptoms and signs of congestion, often due to cardiac dysfunction, and it is the congestion rather than the adverse effects of LD that is driving prognosis. 7

We did not find an association between use of thiazide diuretics alone and outcomes in patients with T2DM, which possibly reflects their different indication. Although thiazides might impair glucose metabolism, they are often used to treat hypertension in T2DM and have been shown to reduce CV events in this setting. For example, in the SHEP trial, chlortalidone reduced mortality in older patients with T2DM despite worsening glycaemia compared to placebo. 21 , 22 However, patients receiving both LD, which block sodium retention in the loop of Henle, and thiazide diuretics, which act on the distal convoluted tubule (sequential nephron blockade) had similar rates of CV events to patients with HF. This is a powerful diuretic combination that is usually reserved by HF specialists for the treatment of advanced HF. It is unclear whether other physician groups are aware of how potent this combination is and its potential to treat, inadvertently, congestion and its symptoms and signs, thereby concealing a diagnosis of HF.

Empagliflozin reduced CV events regardless of HF or LD classification. Several hypotheses have sought to explain the CV benefits of empagliflozin, but the precise underlying mechanisms remain unknown. 23 An exploratory analysis from EMPA‐REG OUTCOME found that the increase in haematocrit reported after SGLT2 inhibition mediated approximately 50% of the reduction in CV death. 24 Increases in haematocrit have also been identified as mediators of the beneficial effects of canagliflozin on HF events in the CANVAS trial. 25 One possible explanation for the rise in haematocrit is a reduction in plasma volume, which might also explain lower rates of initiating and higher rates of stopping LD in those assigned to empagliflozin. 26 Similarly, in a study of claims data in patients with HF and T2DM from the United States, those on SGLT2i were less likely to be initiated on LD in the following 12 months compared to those who received other oral anti‐glycaemic medications (22.7% vs. 34.0%, P = 0.001). 27 There may be a synergistic natriuretic/diuretic effect between LD and SGLT2i 28 and several mechanisms to explain why a SGLT2i might cause or improve diuresis, including an osmotic effect from glucosuria, modest natriuresis, or inhibition of renal sodium–hydrogen exchanger‐3 (NHE3). 29 It should be pointed out, however, that an alternative explanation for the rise in haematocrit is an increase in red blood cell mass due to increased production of erythropoietin. 30 More mechanistic studies will be required to provide further insights into the causes of increased haematocrit from SGLT2i as well as into the interactions between these agents and LD at the level of the kidney in HF. 31

Limitations

These analyses were developed post‐hoc. We did not differentiate amongst LD as there were too few patients receiving agents other than furosemide. We did not account for changes in prescription, and doses, of LD during the trial but relatively few were reported to have stopped or initiated a LD. 26 Neither plasma concentrations of natriuretic peptides nor echocardiograms were recorded at baseline or follow‐up and therefore we are unable to verify the presence of cardiac dysfunction nor differentiate amongst left ventricular phenotypes in those with a diagnosis of HF.

Conclusion

In EMPA‐REG OUTCOME, patients receiving LD had a worse outcome whether or not they were reported to have HF. Amongst patients with T2DM who did not have a diagnosis of HF, the risk of CV events, including death, was greater for those who were prescribed LD, particularly when combined with a thiazide diuretic. In the absence of a diagnosis of HF, the prescription of LD should prompt investigators and clinicians to consider undetected cardiac dysfunction and HF. Conversely, patients with a diagnosis of HF who are not treated with LD have a better prognosis than those with HF treated with LD. Whether this reflects inaccurate diagnosis of less severe cardiac dysfunction should be considered. The reduction in morbidity and mortality with empagliflozin is similar both in relative and absolute terms for patients with T2DM whether or not they have a diagnosis of HF or are prescribed LD.

Supporting information

Figure S1. Sensitivity analysis of incidence rates and risk of outcomes within the empagliflozin and placebo groups across subgroups by baseline heart failure status and use of thiazide diuretic.

EJHF-23-1085-s005.tif (125.9KB, tif)

Table S1. Absolute treatment effect of empagliflozin vs. placebo across subgroups by heart failure status and use of loop diuretic.

EJHF-23-1085-s002.docx (21.1KB, docx)

Table S2. Baseline characteristics by subgroups according to baseline heart failure status and use of thiazide diuretic.

EJHF-23-1085-s003.docx (24.6KB, docx)

Table S3. Sensitivity analysis showing associations between subgroups (by HF status and use of thiazide diuretics at baseline) and cardiovascular/heart failure outcomes in the treatment groups separately.

EJHF-23-1085-s001.docx (21.6KB, docx)

Table S4. Associations between subgroups and cardiovascular/heart failure outcomes in the treatment groups separately.

EJHF-23-1085-s004.docx (24.2KB, docx)

Table S5. Change in sodium and potassium from baseline to end of trial (last value on treatment) by treatment and subgroups by heart failure status and use of loop diuretic at baseline.

EJHF-23-1085-s006.docx (20.8KB, docx)

Acknowledgements

P.P. and J.G.F.C. are supported by the British Heart Foundation Centre of Research Excellence (RE/18/6134217). P.P. has received a research grant (Scotland Grant) from Heart Research UK.

Funding

Conflict of interest: P.P. has received travel support from Boehringer Ingelheim and consulting honoraria from Novartis. D.F. reports CME honoraria and consultation fees from Boehringer Ingelheim, Lilly, Sanofi, AstraZeneca, and Amgen, and DSMB honoraria from NovoNordisk. M.N.K. reports grants and personal fees from AstraZeneca, Boehringer Ingelheim, personal fees from Sanofi, Amgen, Novo Nordisk, Merck (Diabetes and Cardiovascular), Janssen, Bayer, Applied Therapeutics, Esperion, Eli Lilly, and Vifor Pharma, outside the submitted work. B.Z. has received consulting honoraria from NovoNordisk, Boehringer Ingelheim, Eli Lilly, Merck, AstraZeneca, Sanofi and Janssen. C.W. reports significant honoraria from Boehringer Ingelheim and modest honoraria from AstraZeneca, Bayer, Eli Lilly, Mitsubishi, and MSD. S.E.I. has consulted and/or served on Clinical Trial Steering/Executive/Publications Committees for Boehringer Ingelheim, AstraZeneca, Novo Nordisk, Merck, Esperion and Abbott. J.M.T. reports personal fees from Reprieve Medical, AstraZeneca, Novartis, Cardionomic, Bayer, MagentaMed, W.L. Gore, Windtree therapeutics, Lexicon, grants and personal fees from BMS, 3ive Labs, Boehringer Ingelheim, Sanofi, FIRE1, grants from Otsuka, Abbott, Merck outside the submitted work; in addition, Dr Testani has a patent to treating diuretic resistance issued. J.G.F.C. reports personal fees from Abbott, grants and personal fees from Amgen, Bayer, Novartis, Pharmacosmos, Vifor, BMS, Servier, personal fees and non‐financial support from Medtronic, outside the submitted work. A.P.O, L.S., I.Z. and J.G. are employees of Boehringer Ingelheim.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Figure S1. Sensitivity analysis of incidence rates and risk of outcomes within the empagliflozin and placebo groups across subgroups by baseline heart failure status and use of thiazide diuretic.

EJHF-23-1085-s005.tif (125.9KB, tif)

Table S1. Absolute treatment effect of empagliflozin vs. placebo across subgroups by heart failure status and use of loop diuretic.

EJHF-23-1085-s002.docx (21.1KB, docx)

Table S2. Baseline characteristics by subgroups according to baseline heart failure status and use of thiazide diuretic.

EJHF-23-1085-s003.docx (24.6KB, docx)

Table S3. Sensitivity analysis showing associations between subgroups (by HF status and use of thiazide diuretics at baseline) and cardiovascular/heart failure outcomes in the treatment groups separately.

EJHF-23-1085-s001.docx (21.6KB, docx)

Table S4. Associations between subgroups and cardiovascular/heart failure outcomes in the treatment groups separately.

EJHF-23-1085-s004.docx (24.2KB, docx)

Table S5. Change in sodium and potassium from baseline to end of trial (last value on treatment) by treatment and subgroups by heart failure status and use of loop diuretic at baseline.

EJHF-23-1085-s006.docx (20.8KB, docx)

Articles from European Journal of Heart Failure are provided here courtesy of Wiley

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