Literature DB >> 34862765

Diabetes and treatment of chronic heart failure in a large real-world heart failure population.

Sumant P Radhoe1, Jesse F Veenis1, Gerard C M Linssen2, Chris van der Lee3, Luc W M Eurlings4, Hans Kragten5, Nadea Y Y Al-Windy6, Aukje van der Spank7, Stefan Koudstaal8, Hans-Peter Brunner-La Rocca9, Jasper J Brugts1.   

Abstract

AIMS: Although diabetes mellitus (DM) is a common co-morbidity in chronic heart failure (HF) patients, European data on concurrent HF and DM treatment are lacking. Therefore, we have studied the HF treatment of patients with and without DM. Additionally, with the recent breakthrough of sodium-glucose cotransporter 2 (SGLT2) inhibitors in the field of HF, we studied the potential impact of this new drug in a large cohort of HF patients. METHODS AND
RESULTS: A total of 7488 patients with chronic HF with a left ventricular ejection fraction <50% from 34 Dutch outpatient HF clinics between 2013 and 2016 were analysed on diabetic status and background HF therapy. Average age of the total population was 72.8 years (±11.7 years), and 64% of the patients were male. Diabetes was present in 29% of the patients (N = 2174). Diabetics had a worse renal function (mean estimated glomerular filtration rate 56 vs. 61 mL/min/1.73 m2 , P < 0.001). Renin-angiotensin system inhibitors were less often prescribed in diabetics compared with non-diabetics (79% vs. 82%, P = 0.001), while no significant differences regarding other guideline-recommended HF drugs were found. Target doses of beta-blockers (23% vs. 16%, P < 0.001), renin-angiotensin system inhibitors (47% vs. 43%, P = 0.009), and mineralocorticoid receptor antagonists (57% vs. 51%, P = 0.005) were more often prescribed in diabetics than non-diabetics. Based on the latest trials on SGLT2 inhibitors, 31-64% of all HF patients would fulfil the eligibility or enrichment criteria (with vs. without N-terminal prohormone BNP criterion).
CONCLUSIONS: In this large real-world HF registry, a high prevalence of DM was observed and diabetics more often received guideline-recommended target doses. Based on current evidence, the majority of patients would fulfil the enrichment criteria of SGLT2 trials in HF and the impact of this new drug class will be large.
© 2021 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.

Entities:  

Keywords:  Diabetes mellitus; Guideline adherence; Heart failure

Mesh:

Substances:

Year:  2021        PMID: 34862765      PMCID: PMC8788034          DOI: 10.1002/ehf2.13743

Source DB:  PubMed          Journal:  ESC Heart Fail        ISSN: 2055-5822


Introduction

Diabetes mellitus (DM) is a common co‐morbidity in patients suffering from heart failure (HF) and is associated with increased hospitalization and mortality rates in chronic HF. , Despite DM being a well‐established risk factor for worse outcome in HF, guideline‐directed medical therapy does not specifically target the subgroup of patients who also suffer from DM. This might be because the effects of DM therapy on cardiovascular events are not fully clear yet. Recently, the American CHAMP‐HF investigators aimed to characterize treatment patterns and outcomes of patients with HF with reduced ejection fraction (HFrEF) and co‐morbid DM in a real‐world outpatient setting. Besides slight differences in prescription rates and doses, higher HF hospitalization and mortality rates among patients with DM were found. Unfortunately, there is paucity of data when it comes to DM and concurrent HF treatment for the Western European setting. The Dutch CHECK‐HF registry studied in detail prescription rates and dosages of HF medication among subgroups of HF patients in an outpatient setting. , This CHECK‐HF subanalysis aimed to study differences in HF treatment between diabetics and non‐diabetics in a Western European country and compares these findings to the recent analysis in the USA (CHAMP‐HF). Furthermore, the percentage of patients that would be eligible for treatment with sodium–glucose cotransporter 2 (SGLT2) inhibitors was investigated based on trial criteria from the recently completed DAPA‐HF and EMPEROR‐Reduced clinical trials, which could have major impact in upcoming years. ,

Methods

The design and methods of the CHECK‐HF registry have been published in detail elsewhere. Briefly, a total of 10 910 chronic HF patients from 34 participating Dutch centres between 2013 and 2016 were included in this cross‐sectional observational cohort. All included patients were diagnosed with HF and treated according to the 2012 European Society of Cardiology (ESC) HF guidelines, and almost all were seen at a dedicated outpatient HF clinic (96%). Detailed information on patient characteristics, echocardiographic values, and guideline‐recommended HF drug prescription and dosages was recorded. The study was conducted according to the Declaration of Helsinki. Ethical approval was provided for anonymously analysing existing patient data by the Ethical Committee of the Maastricht University Medical Center, the Netherlands. Patients were divided based on left ventricular (LV) ejection fraction (LVEF) or visual assessment of the left ventricle into HF with an LVEF <50% (N = 8360) or HF with an LVEF ≥50% (N = 2267) and treated according to the 2012 ESC HF guidelines. In 283 patients, recording of the LV function in the database was insufficient to classify patients into HF type or standard baseline demographic data were missing, and they were excluded from this analysis as well as patients with an LVEF ≥50%. Additionally, patients with missing information on diabetes (N = 872) were excluded from this analysis, and a total of 7488 patients were included in this analysis. All patients were divided into those with and without diabetes, based on patient records and medical history. Distinction between type 1 and 2 diabetes was made, but the CRF contained no information on antidiabetic therapy. In a subanalysis, we investigated the treatment differences according to renal function. Additionally, we compared the treatment differences between the Western European and the American CHAMP‐HF population. In order to provide a detailed insight in the reduced LVEF population according to the 2016 ESC HF guidelines, an additional subanalysis was performed. Patients with a reduced LVEF (LVEF <50%) and known diabetic status were categorized into HF with mid‐range ejection fraction (HFmrEF) {LVEF 40–49% [n = 1417 (18.9%)]} and HFrEF {LVEF<40% [n = 5073 (67.7%)]}, only in those patients with an exactly specified LVEF. Patients without exact ejection fraction, though visually reduced LV function, were presented separately as semi‐quantitative patient group [n = 998 (13.3%)].

Indication for sodium–glucose cotransporter‐2 inhibitors

Based on the inclusion and exclusion criteria of the DAPA‐HF and EMPEROR‐Reduced trials, we investigated what percentage of patients would be eligible for an SGLT2 inhibitor. An overview of the used criteria is shown in Supporting Information, Table . ,

Statistical analysis

Continuous data are expressed as mean value ± standard deviation or median and inter‐quartile range, depending on the distribution of the data, and compared by the one‐way analysis of variance or Mann–Whitney U test. Categorical data are expressed as counts and percentages, and compared by the Pearson χ 2 test. In order to investigate whether the observed differences between patients with and without diabetes were independent of potential clinical predictors, univariable and multivariable logistic regression analyses were used. The results of these regression analyses are expressed as odds ratios (ORs) with 95% confidence intervals (CIs). In Model 1, we adjusted for age and sex only. In Model 2, we further adjusted for New York Heart Association (NYHA) classification and LVEF. At last, in Model 3, we further adjusted for age, gender, NYHA classification, LVEF, hypertension, chronic obstructive pulmonary disease, obstructive sleep apnoea syndrome, thyroid disease, renal insufficiency [defined as estimated glomerular filtration rate (eGFR) <60 mL/min or a history of renal insufficiency], and atrial fibrillation. Missing data occurred in the variables included in the multivariable analysis, which were imputed using multiple imputation as has been described previously. All analyses were performed with SPSS Statistical Package Version 25.0 (SPSS Inc., Chicago, IL). A two‐sided P‐value of <0.05 was considered statistically significant.

Results

In total, 2174 (29%) diabetic and 5314 (71%) non‐diabetic patients were included in this analysis, and their baseline characteristics are shown in Table . In brief, diabetics were significantly more often severely symptomatic in NYHA Class III–IV, more often had an ischaemic aetiology, and suffered from higher rates of co‐morbidities such as hypertension, obstructive sleep apnoea syndrome, and renal insufficiency.
Table 1

Baseline characteristics of HF patients with an LVEF < 50%

Total population (N = 7488)Diabetes (N = 2174)No diabetes (N = 5314) P‐value
Age (years) (N = 7480)72.8 ± 11.772.9 ± 10.372.2 ± 12.20.022
Men (N = 7459)4756 (63.8)1380 (63.6)3376 (63.8)0.874
BMI, kg/m2 (N = 6980)27.3 ± 5.229.0 ± 5.626.5 ± 4.8<0.001
NYHA (N = 7416)
I1200 (16.2)255 (11.9)945 (17.9)<0.001
II4181 (56.4)1154 (53.7)3027 (57.5)
III1893 (25.5)681 (31.7)1212 (23.0)
IV142 (1.9)60 (2.8)82 (1.6)
LVEF, % (N = 5468)32.7 ± 10.433.3 ± 10.632.4 ± 10.40.004
Cause of HF (N = 7360)
Ischaemic3842 (52.2)1264 (59.1)2578 (49.4)<0.001
Non‐ischaemic3518 (47.8)874 (40.9)2644 (50.6)
Systolic BP, mmHg (N = 7413)126.0 ± 20.8126.4 ± 20.5125.9 ± 21.00.363
Diastolic BP, mmHg (N = 7419)71.3 ± 11.470.5 ± 11.471.6 ± 11.4<0.001
Heart rate, b.p.m. (N = 7392)72.0 ± 13.973.0 ± 13.671.6 ± 14.0<0.001
Atrial fibrillation (N = 7399)1902 (25.7)589 (27.4)1313 (25.0)0.031
LBBB (N = 7488)1283 (17.1)350 (16.1)933 (17.6)0.129
QRS ≥ 130 ms (N = 6337)2534 (40.0)738 (40.8)1796 (39.7)0.419
NT‐proBNP, pg/mL (N = 2873)978.0 [311.0–2850.0]954.0 [323.0–2622.0]990.7 [304.1–2901.1]0.943
Co‐morbidities (N = 7488)
Hypertension2978 (39.8)1067 (49.1)1911 (36.0)<0.001
COPD1381 (18.4)401 (18.4)980 (18.4)0.997
OSAS495 (6.6)198 (9.1)297 (5.6)<0.001
Thyroid disease557 (7.4)180 (8.3)377 (7.1)0.076
Kidney insufficiency a 3583 (57.2)1247 (64.9)2336 (53.8)<0.001

BMI, body mass index; BP, blood pressure; COPD, chronic obstructive pulmonary disease; HF, heart failure; LBBB, left bundle branch block; LVEF, left ventricular ejection fraction; NT‐proBNP, N‐terminal prohormone BNP; NYHA, New York Heart Association; OSAS, obstructive sleeping apnoea syndrome.

Defined as an estimated glomerular filtration rate <60 or a documented history of kidney insufficiency.

Baseline characteristics of HF patients with an LVEF < 50% BMI, body mass index; BP, blood pressure; COPD, chronic obstructive pulmonary disease; HF, heart failure; LBBB, left bundle branch block; LVEF, left ventricular ejection fraction; NT‐proBNP, N‐terminal prohormone BNP; NYHA, New York Heart Association; OSAS, obstructive sleeping apnoea syndrome. Defined as an estimated glomerular filtration rate <60 or a documented history of kidney insufficiency.

Pharmacological treatment

The pharmacological HF treatment of patients according to diabetic status is shown in Figure . As shown, diabetic HF patients less often received renin–angiotensin system (RAS) inhibitors, but more often received the guideline‐recommended target dose of beta‐blockers, RAS inhibitors, and mineralocorticoid receptor antagonists (MRAs) and had triple therapy more often prescribed at ≥50% of the guideline‐recommended target dose, while no significant difference was observed in the prescription rate of triple therapy. Of all diabetic patients who had a RAS inhibitor prescribed, 64.2% and 35.8% received an angiotensin‐converting enzyme inhibitor and angiotensin receptor blocker, respectively, compared with 68.9% and 31.1% for the non‐diabetic patients, respectively.
Figure 1

Guideline‐recommended heart failure therapy use according to diabetes in heart failure patients with a left ventricular ejection fraction <50%, shown as (A) prescription rates, (B) percentage of the recommended target dose prescribed, (C) prescription of triple therapy, and (D) prescription of triple therapy at ≥50% of guideline‐recommended target dose. MRAs, mineralocorticoid receptor antagonists; RAS, renin–angiotensin system.

Guideline‐recommended heart failure therapy use according to diabetes in heart failure patients with a left ventricular ejection fraction <50%, shown as (A) prescription rates, (B) percentage of the recommended target dose prescribed, (C) prescription of triple therapy, and (D) prescription of triple therapy at ≥50% of guideline‐recommended target dose. MRAs, mineralocorticoid receptor antagonists; RAS, renin–angiotensin system. After multivariable adjustments, diabetic HF patients had a lower likelihood to receive a RAS inhibitor (OR 0.853, 95% CI [0.747–0.975]), but a higher likelihood to receive diuretics compared with non‐diabetic patients (OR 1.284, 95% CI [1.103–1.495]), as shown in Table .
Table 2

Univariable and multivariable analysis: the likelihood (displayed as odds ratio [95% confidence interval]) of receiving guideline‐recommended therapy for diabetics compared with non‐diabetics

UnivariableMultivariable
Model 1Model 2Model 3
Beta‐blocker1.060 [0.932–1.205]1.065 [0.998–1.138]1.082 [0.950–1.231]1.042 [0.914–1.188]
RAS inhibitor0.804 [0.708–0.912]0.803 [0.752–0.857]0.848 [0.744–0.966]0.853 [0.747–0.975]
MRA1.007 [0.910–1.114]1.011 [0.960–1.065]0.965 [0.871–1.070]0.952 [0.857–1.058]
Diuretics1.564 [1.355–1.806]1.526 [1.417–1.643]1.393 [1.202–1.616]1.284 [1.103–1.495]

COPD, chronic obstructive pulmonary disease; eGFR, estimated glomerular filtration rate; LVEF, left ventricular ejection fraction; MRA, mineralocorticoid receptor antagonist; NYHA, New York Heart Association; OSAS, obstructive sleep apnoea syndrome; RAS, renin–angiotensin system.

Model 1 included age and gender. Model 2 included age, gender, NYHA classification, and LVEF. Model 3 included age, gender, NYHA classification, LVEF, hypertension, COPD, OSAS, thyroid disease, renal insufficiency (defined as eGFR < 60 mL/min or a history of renal insufficiency), and atrial fibrillation.

Univariable and multivariable analysis: the likelihood (displayed as odds ratio [95% confidence interval]) of receiving guideline‐recommended therapy for diabetics compared with non‐diabetics COPD, chronic obstructive pulmonary disease; eGFR, estimated glomerular filtration rate; LVEF, left ventricular ejection fraction; MRA, mineralocorticoid receptor antagonist; NYHA, New York Heart Association; OSAS, obstructive sleep apnoea syndrome; RAS, renin–angiotensin system. Model 1 included age and gender. Model 2 included age, gender, NYHA classification, and LVEF. Model 3 included age, gender, NYHA classification, LVEF, hypertension, COPD, OSAS, thyroid disease, renal insufficiency (defined as eGFR < 60 mL/min or a history of renal insufficiency), and atrial fibrillation.

Diabetes and renal function

As shown in Table , diabetic HF patients had a worse renal function compared with non‐diabetic patients (mean eGFR 55.8 ± 22.6 vs. 60.8 ± 23.8 mL/min/1.73 m2, P<0.001). A detailed overview of HF therapy stratified by renal function in diabetic HF patients is shown in Supporting Information, Figure . Most importantly, among all diabetics, patients with an eGFR <30 mL/min less often received RAS inhibitors and, when prescribed, less often received the recommended target dose. Furthermore, those patients with an eGFR <30 mL/min less often received triple therapy. The patients on triple therapy with an eGFR <30 mL/min less often received the recommended target dose.
Table 3

Renal function of HF patients with an LVEF < 50%

Total population (N = 7488)Diabetes (N = 2174)No diabetes (N = 5314) P‐value
eGFR, mL/min/1.73 m2 (N = 5169)59.3 ± 24.855.8 ± 26.660.8 ± 23.8<0.001
eGFR (N = 5169)
<30 mL/min/1.73 m2 613 (11.9)286 (17.6)327 (9.2)<0.001
30–44 mL/min/1.73 m2 1065 (20.6)381 (23.4)684 (19.3)
45–59 mL/min/1.73 m2 1087 (21.0)302 (18.6)785 (22.2)
≥60 mL/min/1.73 m2 2404 (46.5)658 (40.4)1746 (49.3)

eGFR, estimated glomerular filtration rate; HF, heart failure; LVEF, left ventricular ejection fraction.

Renal function of HF patients with an LVEF < 50% eGFR, estimated glomerular filtration rate; HF, heart failure; LVEF, left ventricular ejection fraction.

CHAMP‐HF (American) vs. CHECK‐HF (Western European)

Heart failure therapy in the American CHAMP‐HF registry and the CHECK‐HF registry according to diabetic status is shown in Figure . In general, both diabetic and non‐diabetic patients in the CHECK‐HF registry more often received RAS inhibitors and MRAs, and more often received RAS inhibitors at the recommended target dose.
Figure 2

Guideline‐recommended heart failure therapy use: (A) beta‐blockers, (B) renin–angiotensin system inhibitors, and (C) mineralocorticoid receptor antagonists, in the CHAMP‐HF and CHECK‐HF registries according to diabetes in patients with a reduced left ventricular ejection fraction. Data from the CHAMP‐HF registry were used with permission.

Guideline‐recommended heart failure therapy use: (A) beta‐blockers, (B) renin–angiotensin system inhibitors, and (C) mineralocorticoid receptor antagonists, in the CHAMP‐HF and CHECK‐HF registries according to diabetes in patients with a reduced left ventricular ejection fraction. Data from the CHAMP‐HF registry were used with permission.

Medical therapy in heart failure with reduced ejection fraction and heart failure with mid‐range ejection fraction patients according to the 2016 European Society of Cardiology guidelines

The baseline characteristics of HFrEF, HFmrEF, and the subgroup of semi‐quantitative LV function patients are shown in Supporting Information, Table . The prescription rates of HF medication in these subgroups are shown in Supporting Information, Figure . As shown, diabetic HFrEF patients less often received RAS inhibitors, and diabetic patients with HFrEF, HFmrEF, and semi‐quantitative LV function more often received diuretics.

Potential impact of sodium–glucose cotransporter‐2 inhibitors in a real‐world heart failure population

The patients with complete data on age, NYHA class, LVEF, serum N‐terminal prohormone BNP (NT‐proBNP) levels, systolic blood pressure, and eGFR (31.7% of the total population) were analysed based on inclusion and exclusion criteria of several large trials (Supporting Information, Table ) to assess the percentage of patients potentially eligible for treatment with SGLT2 inhibitors. As shown in Table , up to 31% of the patients with an LVEF ≤40% would fulfil trial criteria for treatment with an SGLT2 inhibitor. The proportion of eligible patients was similar for diabetics and non‐diabetics. Detailed reasons for being ineligible are shown in Supporting Information, Figure , and as seen, ineligibility was largely caused by violation of the NT‐proBNP criterion. Analyses were therefore repeated without applying NT‐proBNP serum levels as enrichment criteria, and as such, up to 64% of the CHECK‐HF population with complete available data would fulfil trial criteria (Supporting Information, Figure ).
Table 4

Indication for SGLT2 inhibitors according to the eligibility criteria of the two major HF SGLT2 inhibitor trials

Total CHECK‐HF populationDiabeticsNon‐diabetics
DAPA‐HF trial a
Eligible742 (31.3)184 (25.4)558 (33.8)
Not eligible1632 (68.7)539 (74.6)1093 (66.2)
EMPEROR‐Reduced trial a
Eligible571 (24.1)175 (24.2)396 (24.0)
Not eligible1801 (75.9)547 (75.8)1254 (76.0)

HF, heart failure; SGLT2, sodium–glucose cotransporter 2.

Eligibility criteria are shown in Supporting Information, Table .

Indication for SGLT2 inhibitors according to the eligibility criteria of the two major HF SGLT2 inhibitor trials HF, heart failure; SGLT2, sodium–glucose cotransporter 2. Eligibility criteria are shown in Supporting Information, Table .

Discussion

In this large cross‐sectional Dutch registry of chronic HF patients, diabetes was prevalent in ~30% of patients. Renal function is very relevant in this patient category. The number of patients with eGFR <45 mL/min/1.73 m2 was 41% in diabetic and 29% in non‐diabetic HF patients. Regarding HF treatment, only slight differences in prescription rates and doses were found between diabetics and non‐diabetics. Especially diuretics were more often prescribed in diabetics compared with non‐diabetics. This could be relevant for the mechanisms of action of SGLT2 inhibitors (natriuresis). Diabetic HF patients more often received the guideline‐recommended target dose of beta‐blockers, RAS inhibitors, and MRAs as compared with non‐diabetic patients. Based on current evidence, up to 64% of all HF patients with an LVEF ≤40% would fulfil the eligibility or enrichment criteria of the recent SGLT2 inhibitor trials.

Heart failure treatment in diabetic patients

The effectivity of HF drugs in diabetics and non‐diabetics has been investigated in several studies. The relative risk reduction for mortality by beta‐blockers, RAS inhibitors, and MRAs was comparable between diabetic and non‐diabetic HF patients. , , , , Diabetic HF patients have a higher mortality risk, and therefore, HF drugs have a greater absolute risk reduction in this patient group. , Additionally, HF drugs might have favourable effects on the glycaemic control as well. It has been shown that beta‐blockers with alpha‐blockade properties (such as carvedilol) might improve insulin sensitivity and glycaemic control. , , RAS inhibitors might reduce the incidence of DM in HF patients, although data on the effect of RAS inhibitors on glycaemic control in HF patients with pre‐existent DM are lacking. , MRAs do not increase the risk of developing DM. It has been suggested that spironolactone increases haemoglobin A1(c) serum levels in DM patients, while eplerenone does not. The overall positive effects of HF drugs on diabetic treatment and the lack of negative effects of DM on the effectivity of HF drugs might have contributed to the higher prescription rates observed in our registry. Chronic HF and DM are independently associated with a worse renal function, and the presence of both conditions further increases the risk of worse renal function, as also shown by our results. , Both antidiabetic and HF drugs are associated with a decline in renal function. This could prevent prescription and limit up‐titration of the recommended drugs. Additionally, impaired renal function increases the risk of hyperkalaemia, especially if RAS inhibitors are combined with an MRA. This could lead to lower prescription rates of the combination of RAS inhibitors and MRAs in diabetic HF patients.

Diabetes and heart failure treatment in CHECK‐HF compared with CHAMP‐HF

The American CHAMP‐HF study recently explored differences in treatment patterns and clinical outcomes between diabetic and non‐diabetic HFrEF patients in a real‐world US outpatient setting. Remarkably, diabetes was more often present in the US HF population (42%) compared with Dutch HF patients (29%). This observation might be explained by the overall higher body mass index in the CHAMP‐HF compared with the CHECK‐HF registry (29.3 vs. 27.3 kg/m2, respectively). A clear association between an elevated body mass index and incidence of DM in chronic HF has been described. Small differences in HF treatment between diabetics and non‐diabetics were observed in both HF registries with only a minority of HF patients receiving the guideline‐recommended target doses. However, slight differences between the CHECK‐HF and CHAMP‐HF registries were observed. Dutch HF patients more often received RAS inhibitors and MRAs. Furthermore, RAS inhibitors were more often prescribed at the recommended target dose compared with the US HF patients. When comparing baseline patient characteristics of both registries, several differences become apparent. Firstly, average renal function was worse in the CHECK‐HF registry with a higher proportion of patients having an eGFR <45. This might indicate that Dutch physicians are more likely to accept the decline in renal function introduced by RAS inhibitors and MRAs in order to optimize HF treatment. Furthermore, average age was slightly higher in the CHECK‐HF population (mean age of 72.8 vs. 68 years in the CHAMP‐HF registry). Other important baseline characteristics reflecting disease severity such as distribution of NYHA class and LVEF were comparable between both registries.

Potential range of sodium–glucose cotransporter‐2 inhibitors in heart failure

Although SGLT2 inhibitors were initially developed as antidiabetic drugs, the secondary cardiovascular effects became especially clear as patients without DM surprisingly benefited from SGLT2 inhibitors as well. The efficacy of SGLT2 inhibitors on top of the guideline‐recommended HF drugs in patients with an LVEF <40% has been evaluated by the DAPA‐HF and EMPEROR‐Reduced trials. , However, the percentage of HF patients eligible for SGLT2 inhibitor therapy is still unknown. When applying the inclusion and exclusion criteria of the DAPA‐HF and EMPEROR‐Reduced trials, we calculated that up to 31% of the Dutch HF patients with an LVEF ≤40% could be eligible for treatment with an SGLT2 inhibitor. Ineligibility was largely caused by violation of the NT‐proBNP criterion (Supporting Information, Figure ). However, serum NT‐proBNP levels are unlikely to affect implementation in routine HF care, and low NT‐proBNP levels may actually reflect adequate HF therapy rather than a factor advocating against use of SGLT2 inhibitors. After performing the analyses without strict NT‐proBNP criteria, the proportion of eligible patients increased up to 64% (Supporting Information, Figure ). Similar analyses were performed after the early angiotensin receptor‐neprilysin inhibitor studies in which (NT‐pro)BNP criteria were used as well, while in clinical practice, angiotensin receptor neprilysin inhibitor therapy is nowadays initiated without fulfilling these criteria. , , Recently, the 2021 ESC guidelines on HF have been published, and the SGLT2 inhibitors dapagliflozin and empagliflozin have received a Class IA indication for the treatment of patients with HF and an LVEF ≤40% to reduce the risk of HF hospitalization and death, regardless of the presence of concomitant DM. This current large HF registry contributes to recent developments in pharmacological HF therapy and may help to learn about the initiation of SGLT2 inhibitors in Western European countries. In light of the positive DAPA‐HF and EMPEROR‐Reduced trials, we have shown the potentially wide scope of SGLT2 inhibitors in our chronic HF population. , According to the latest ESC guidelines on HF, type 1 diabetes is not an absolute contraindication for the initiation of SGLT2 inhibitors, which may imply that a larger proportion of our HF population would be eligible according to the enrolment criteria of the DAPA‐HF trial (Supporting Information, Figure ). Unfortunately, information on concomitant use of other antidiabetic drugs was unavailable in our study. When interpreting our data, it is therefore essential to keep in mind the potential hazard of concurrent diabetic treatment before starting an SGLT2 inhibitor. Although diabetic ketoacidosis was rare in clinical trial setting with just three cases in the DAPA‐HF trial and zero cases in the EMPEROR‐Reduced trial, it is among the most serious complications, especially with concomitant use of insulin. , The risk of developing ketoacidosis has to be taken into account, and it is recommended to eliminate factors that increase the risk of ketoacidosis. In the case of hypoglycaemia, modification of other diabetic drugs is indicated with consultation of nurses and doctors specialized in diabetes care. Sodium–glucose cotransporter‐2 inhibitors are also likely to play an important role in the treatment of HF patients with an LVEF >40% after the positive results of the recently published EMPEROR‐Preserved trial in which empagliflozin has been shown to significantly reduce the risk of cardiovascular death or HF hospitalization as compared with placebo, again regardless of diabetic status. Additional analyses of the trial showed that SGLT2 inhibition by empagliflozin also reduced the risk of severe hospitalizations (such as admissions requiring intravenous positive inotropic or vasopressor drugs and/or intensive care) and outpatient worsening HF events (including emergency or urgent care visits and intensification of diuretic therapy). Currently, SGLT2 inhibitors are not yet incorporated in the ESC guidelines for the treatment of HF with preserved ejection fraction, but recommendations will most likely be updated as new evidence is emerging. ,

Strengths and limitations

The CHECK‐HF registry encompasses a large number of HF patients in a real‐world Western European outpatient setting and thus provides valuable insights into the characteristics and treatment patterns in this population. However, this registry has some limitations. First of all, because of the cross‐sectional design, data on clinical outcomes and prognosis are unavailable. Furthermore, no data on insulin use or oral antidiabetic use were available as this subanalysis was not planned when designing the study.

Conclusions

In this large registry of HF patients with an LVEF <50% and concurrent DM, patients with diabetes were generally well treated and more often received the guideline‐recommended target doses as compared with patients without diabetes. Based on current evidence, we have shown that a considerable proportion, up to 64%, of our HF population fulfils clinical trial criteria for treatment with an SGLT2 inhibitor, and adding this new drug class will have a major impact on contemporary HF treatment.

Conflict of interest

None declared.

Funding

This work was supported by Servier, the Netherlands, who funded the inclusion of data and software program. The steering committee (H.‐P.B.‐L.R., G.C.M.L., and J.J.B.) received no funding for this project. This analysis was initiated by the authors and was designed, conducted, interpreted, and reported independently of the sponsor. The current study had no other funding source or any with a participating role in outcome assessment or writing of the manuscript. Table S1. Eligibility criteria for the different SGLT2 inhibitor HF trials. Click here for additional data file. Table S2. Baseline characteristics of HF patients according to 2016 ESC HF Guidelines. Click here for additional data file. Figure S1. Guideline‐recommended heart failure therapy use in diabetic HF patients with an LVEF <50%, shown as A prescription rates, B percentage of the recommended target dose prescribed, C prescription of triple therapy and, D prescription of triple therapy at ≥50% of guideline recommended target dose, stratified according to renal function. Click here for additional data file. Figure S2. Guideline‐recommended heart failure therapy use according to the 2016 ESC HF Guidelines as stratified by diabetic status, A in patients with a reduced ejection fraction. B in patients with midrange ejection fraction, and C in patients with a semi quantitative analysis. Click here for additional data file. Figure S3. Flowchart of eligibility for SGLT2 inhibitors according to the eligibility criteria of the A DAPA‐HF trial and B the EMPEROR‐Reduced trial. Click here for additional data file.
  36 in total

1.  Effect of eplerenone versus spironolactone on cortisol and hemoglobin A₁(c) levels in patients with chronic heart failure.

Authors:  Masayuki Yamaji; Takayoshi Tsutamoto; Chiho Kawahara; Keizo Nishiyama; Takashi Yamamoto; Masanori Fujii; Minoru Horie
Journal:  Am Heart J       Date:  2010-11       Impact factor: 4.749

2.  Risk factors for hyperkalaemia in a cohort of patients with newly diagnosed heart failure: a nested case-control study in UK general practice.

Authors:  Alexander Michel; Mar Martín-Pérez; Ana Ruigómez; Luis A García Rodríguez
Journal:  Eur J Heart Fail       Date:  2015-01-10       Impact factor: 15.534

3.  Antihyperglycemic Medication Use Among Medicare Beneficiaries With Heart Failure, Diabetes Mellitus, and Chronic Kidney Disease.

Authors:  Priyesh A Patel; Li Liang; Prateeti Khazanie; Bradley G Hammill; Gregg C Fonarow; Clyde W Yancy; Deepak L Bhatt; Lesley H Curtis; Adrian F Hernandez
Journal:  Circ Heart Fail       Date:  2016-07       Impact factor: 8.790

4.  Dapagliflozin and Cardiovascular Outcomes in Type 2 Diabetes.

Authors:  Stephen D Wiviott; Itamar Raz; Marc P Bonaca; Ofri Mosenzon; Eri T Kato; Avivit Cahn; Michael G Silverman; Thomas A Zelniker; Julia F Kuder; Sabina A Murphy; Deepak L Bhatt; Lawrence A Leiter; Darren K McGuire; John P H Wilding; Christian T Ruff; Ingrid A M Gause-Nilsson; Martin Fredriksson; Peter A Johansson; Anna-Maria Langkilde; Marc S Sabatine
Journal:  N Engl J Med       Date:  2018-11-10       Impact factor: 91.245

5.  Metabolic effects of carvedilol vs metoprolol in patients with type 2 diabetes mellitus and hypertension: a randomized controlled trial.

Authors:  George L Bakris; Vivian Fonseca; Richard E Katholi; Janet B McGill; Franz H Messerli; Robert A Phillips; Philip Raskin; Jackson T Wright; Rosemary Oakes; Mary Ann Lukas; Karen M Anderson; David S H Bell
Journal:  JAMA       Date:  2004-11-10       Impact factor: 56.272

6.  Epidemiology of chronic kidney disease in heart failure.

Authors:  Ali Ahmed; Ruth C Campbell
Journal:  Heart Fail Clin       Date:  2008-10       Impact factor: 3.179

7.  Impact of diabetes on outcomes in patients with low and preserved ejection fraction heart failure: an analysis of the Candesartan in Heart failure: Assessment of Reduction in Mortality and morbidity (CHARM) programme.

Authors:  Michael R MacDonald; Mark C Petrie; Fumi Varyani; Jan Ostergren; Eric L Michelson; James B Young; Scott D Solomon; Christopher B Granger; Karl Swedberg; Salim Yusuf; Marc A Pfeffer; John J V McMurray
Journal:  Eur Heart J       Date:  2008-04-14       Impact factor: 29.983

8.  Treatment Differences in Chronic Heart Failure Patients With Reduced Ejection Fraction According to Blood Pressure.

Authors:  Jesse F Veenis; Hans-Peter Brunner-La Rocca; Gerard C M Linssen; Marco W F Van Gent; Arno W Hoes; Jasper J Brugts
Journal:  Circ Heart Fail       Date:  2020-05-06       Impact factor: 8.790

9.  Diabetes and treatment of chronic heart failure in a large real-world heart failure population.

Authors:  Sumant P Radhoe; Jesse F Veenis; Gerard C M Linssen; Chris van der Lee; Luc W M Eurlings; Hans Kragten; Nadea Y Y Al-Windy; Aukje van der Spank; Stefan Koudstaal; Hans-Peter Brunner-La Rocca; Jasper J Brugts
Journal:  ESC Heart Fail       Date:  2021-12-04

10.  Cardiovascular and Renal Outcomes with Empagliflozin in Heart Failure.

Authors:  Milton Packer; Stefan D Anker; Javed Butler; Gerasimos Filippatos; Stuart J Pocock; Peter Carson; James Januzzi; Subodh Verma; Hiroyuki Tsutsui; Martina Brueckmann; Waheed Jamal; Karen Kimura; Janet Schnee; Cordula Zeller; Daniel Cotton; Edimar Bocchi; Michael Böhm; Dong-Ju Choi; Vijay Chopra; Eduardo Chuquiure; Nadia Giannetti; Stefan Janssens; Jian Zhang; Jose R Gonzalez Juanatey; Sanjay Kaul; Hans-Peter Brunner-La Rocca; Bela Merkely; Stephen J Nicholls; Sergio Perrone; Ileana Pina; Piotr Ponikowski; Naveed Sattar; Michele Senni; Marie-France Seronde; Jindrich Spinar; Iain Squire; Stefano Taddei; Christoph Wanner; Faiez Zannad
Journal:  N Engl J Med       Date:  2020-08-28       Impact factor: 176.079

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1.  Diabetes and treatment of chronic heart failure in a large real-world heart failure population.

Authors:  Sumant P Radhoe; Jesse F Veenis; Gerard C M Linssen; Chris van der Lee; Luc W M Eurlings; Hans Kragten; Nadea Y Y Al-Windy; Aukje van der Spank; Stefan Koudstaal; Hans-Peter Brunner-La Rocca; Jasper J Brugts
Journal:  ESC Heart Fail       Date:  2021-12-04
  1 in total

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