Literature DB >> 31271255

Insulin treatment and clinical outcomes in patients with diabetes and heart failure with preserved ejection fraction.

Li Shen1,2, Rasmus Rørth2,3, Deborah Cosmi4, Søren Lund Kristensen2,3, Mark C Petrie2, Franco Cosmi5, Roberto Latini6, Lars Køber3, Inder S Anand7, Peter E Carson8, Christopher B Granger9, Michel Komajda10, Robert S McKelvie11, Scott D Solomon12, Lidia Staszewsky6, Karl Swedberg13,14, Thao Huynh15, Michael R Zile16, Pardeep S Jhund2, John J V McMurray2.   

Abstract

AIMS: Insulin causes sodium retention and hypoglycaemia and its use is associated with worse outcomes in heart failure (HF) with reduced ejection fraction. We have investigated whether this is also the case in HF with preserved ejection fraction (HFpEF). METHODS AND
RESULTS: We examined the association between diabetes/diabetes treatments and the risk of the primary composite of cardiovascular death or HF hospitalization, as well as other outcomes in adjusted analyses in CHARM-Preserved (left ventricular ejection fraction ≥ 45%), I-Preserve and TOPCAT (Americas) pooled. Of 8466 patients, 2653 (31%) had diabetes, including 979 (37%) receiving insulin. Patients receiving insulin were younger, had a higher body mass index, prevalence of ischaemic aetiology, N-terminal pro-B-type natriuretic peptide and use of diuretics, worse New York Heart Association class and signs and symptoms, and worse quality of life and renal function, compared to patients with diabetes not on insulin. Among the 1398 patients with echocardiographic data, insulin use was associated with higher left ventricular end-diastolic pressure and more diastolic dysfunction than in other participants. The primary outcome occurred at a rate of 6.3 per 100 patient-years in patients without diabetes, and 10.2 and 17.1 per 100 patient-years in diabetes patients without and with insulin use, respectively [fully adjusted hazard ratio (aHR) insulin-treated diabetes vs. other diabetes: 1.41, 95% confidence interval (CI) 1.23-1.63, P < 0.001]. The adjusted HR is 1.67 (95% CI 1.20-2.32, p = 0.002) for sudden death (insulin-treated diabetes vs. other diabetes).
CONCLUSIONS: Insulin use is associated with poor outcomes in HFpEF. Although we cannot conclude a causal association, the safety of insulin and alternative glucose-lowering treatments in HF needs to be evaluated in clinical trials.
© 2019 The Authors. European Journal of Heart Failure © 2019 European Society of Cardiology.

Entities:  

Keywords:  Diabetes mellitus; Heart failure; Insulin

Year:  2019        PMID: 31271255      PMCID: PMC7079555          DOI: 10.1002/ejhf.1535

Source DB:  PubMed          Journal:  Eur J Heart Fail        ISSN: 1388-9842            Impact factor:   15.534


Introduction

Type 2 diabetes mellitus is common in patients with heart failure and preserved ejection fraction (HFpEF), with a reported prevalence of around 30–40%.1 It has been suggested that diabetes plays a key pathophysiological role in the development of HFpEF, and is an independent predictor of adverse outcomes in HFpEF.1, 2, 3, 4 The importance of better understanding the safety and possible benefits of anti‐diabetes agents in patients with established heart failure (HF) is underscored by recent cardiovascular (CV) outcome trials in diabetes mellitus. Thiazolidinediones and, possibly, certain dipeptidyl peptidase‐4 inhibitors increase the risk of HF hospitalization,5, 6 glucagon‐like peptide‐1 receptor agonists have shown a neutral effect,7, 8, 9, 10 and more recently, three sodiumglucose co‐transporter 2 (SGLT2) inhibitors, empagliflozin, canagliflozin and dapagliflozin, have shown a significant reduction in HF hospitalization.7, 8, 9, 10 Insulin, a traditional second‐line treatment for type 2 diabetes, leads to sodium and water retention, weight gain and hypoglycaemia, with resultant sympathetic nervous system activation.11, 12 Theoretically, insulin may be detrimental to patients with concomitant HF, but this has yet to be tested in a randomized clinical trial in patients with established HF. In a post‐hoc analysis of the Candesartan in Heart failure: Assessment of Reduction in Mortality and morbidity (CHARM) trial, insulin therapy was associated with higher risks of mortality and HF hospitalization in patients with HF and reduced ejection fraction (HFrEF) and similar findings have been reported from other HFrEF clinical trials.13, 14 Likewise, adverse outcomes associated with insulin treatment were observed in HF patients included in a large administrative registry from Italy.14 However, little is known about the characteristics of and clinical outcomes in HFpEF patients with diabetes taking insulin.15 HFpEF may be a more insulin‐resistant state than HFrEF and it has been suggested that insulin plays a role in the myocardial changes characterizing the HFpEF phenotype.16 Therefore, we examined the relationship between baseline insulin therapy and clinical outcomes in patients enrolled in the three largest randomized trials in HFpEF.

Methods

Study population

For these analyses, we combined patients enrolled in the CHARM‐Preserved trial,17 the Irbesartan in Heart Failure with Preserved Ejection Fraction (I‐Preserve) trial18 and the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT) trial.19 The design and main results of these trials have been published. Briefly, CHARM‐Preserved compared candesartan with placebo in 3023 HF patients in New York Heart Association (NYHA) functional class II–IV with a left ventricular ejection fraction (LVEF) > 40%. Patients in NYHA class II were required to have had a hospital admission for a cardiac reason within the past 6 months.17 In I‐Preserve, 4128 patients aged ≥ 60 years in NYHA class II–IV with a LVEF ≥ 45% were randomized to receive irbesartan or placebo. Patients in NYHA class II were eligible if they had a HF hospitalization within the previous 6 months.18 In TOPCAT, 3445 patients aged ≥ 50 years in NYHA class II–IV with a LVEF ≥ 45% were randomized to receive spironolactone or placebo; patients were eligible if they had been hospitalized for HF within the past 12 months, or had an elevated plasma natriuretic peptide level within 60 days before randomization [i.e. B‐type natriuretic peptide (BNP) ≥ 100 pg/mL or N‐terminal pro‐BNP (NT‐proBNP) ≥ 360 pg/mL].19 For the present analysis, patients with a LVEF < 45% in CHARM‐Preserved were excluded to ensure a consistent LVEF entry threshold across trials. Patients from Russia or Georgia in TOPCAT were also excluded because of substantially lower event rates in this region of enrolment compared to those in the Americas and there was uncertainty about whether they had HF.20 All trials were approved by the ethics committee in each study centre and all patients gave written informed consent.

Diabetes status and insulin use at baseline

In each trial, investigators completed a case report form in which they were asked to state whether patients had diabetes and, if so, how it was treated (i.e. with insulin, oral therapy and diet control). The specific type of diabetes (type 1 or type 2) was not recorded in any of the trials. The age of onset of diabetes was recorded in two of the three trials (i.e. CHARM‐Preserved and TOPCAT); of these, 66 (4.4%) patients were diagnosed under 20 years of age. We aimed to examine the effect of insulin use in patients with type 2 diabetes and HFpEF, and analyses excluding these 66 patients, presumably with type 1 diabetes, are presented in the online supplementary Table S1–S5 and Figure S1). Type 1 diabetes is clearly different because there is complete absence of pancreatic insulin production and exogenous insulin therapy is mandatory from the outset, unlike in type 2 diabetes.

Outcomes

The primary outcome was a composite of CV death or HF hospitalization in CHARM‐Preserved, all‐cause death or protocol‐specified CV hospitalization in I‐Preserve, and a composite of CV death, HF hospitalization or aborted cardiac arrest in TOPCAT. For this analysis, we specified the following outcomes of interest: the composite of CV death or first HF hospitalization and its individual components, as well as all‐cause death. We also examined the two main modes of CV death, i.e. sudden death and pump failure death. In each trial, potential endpoints were adjudicated by an independent committee using similar pre‐specified criteria (the same committee adjudicated the events in two of the three trials, i.e. CHARM‐Preserved and TOPCAT).

Statistical analyses

Baseline characteristics were summarized as means with standard deviations for continuous variables and frequencies with percentages for categorical variables. Differences in baseline characteristics according to diabetes status and insulin use were examined using ANOVA for continuous variables with Bonferroni correction for multiple comparisons and the χ2 test for categorical variables. Duration of diabetes, the Minnesota Living with Heart Failure (MLWHF) score, Kansas City Cardiomyopathy Questionnaire (KCCQ) clinical summary score and NT‐proBNP were not normally distributed and therefore were summarized as medians with interquartile ranges and analysed using the Kruskal–Wallis test with Dunn's test and a Bonferroni correction for multiple comparisons. Event rates for the outcomes of interest were calculated per 100 patient‐years of follow‐up and illustrated using Kaplan–Meier curves; cumulative incidence curves are presented in online supplementary Figure S1. Cox proportional hazards regression analysis was used to calculate the hazard ratio (HR) for each outcome with the comparisons of insulin‐treated diabetes vs. no diabetes and non‐insulin‐treated diabetes vs. no diabetes. The proportional hazards regression analyses were also performed with adjustment for a number of confounding variables, including age, sex, race, heart rate, diastolic blood pressure, LVEF, NYHA class III/IV (vs. I/II), body mass index (BMI), HF hospitalization within the past 6 months, history of myocardial infarction, hypertension, or atrial fibrillation, estimated glomerular filtration rate (eGFR), and log‐transformed NT‐proBNP with simple imputation of eGFR and NT‐proBNP using the missing indicator method; sensitivity analyses including only patients with complete NT‐proBNP data are shown in online supplementary Tables S4 and S5). Within‐trial clustering was taken into consideration with the use of shared frailty models. The proportional‐hazards assumption was examined with the use of the Schoenfeld residuals. As patients with diabetes treated with insulin tend to have a longer standing diabetes than those not on insulin, we compared the risk of each outcome in patients with diabetes on insulin with those not on insulin further adjusting for the duration of diabetes in addition to the confounders mentioned above. For patients with available echocardiographic data (745 patients in I‐Preserve and 653 patients in TOPCAT, respectively), we compared the measurements of left ventricular structure and left ventricular systolic and diastolic properties according to diabetes status and insulin use at baseline. A two‐sided P‐value < 0.05 was considered significant. All analyses were performed using Stata version 15 (Stata Corp., College Station, TX, USA).

Results

Overall, 10 596 patients were enrolled in CHARM‐Preserved, I‐Preserve and TOPCAT. Of these, 450 patients from CHARM‐Preserved had a LVEF < 45% and therefore were excluded. A further 1678 patients enrolled from Russia/Georgia in TOPCAT and two patients with missing information on diabetes status were also excluded, leaving 8466 patients for analysis. A total of 2653 (31%) patients had diabetes at baseline, of which 979 (37%) patients were treated with insulin. Patients treated with insulin, on average, had a much longer history of diabetes (16 years) than those not on insulin (7 years) (Table 1).
Table 1

Patient characteristics according to baseline diabetes mellitus status and insulin use in the combined data sets of CHARM‐Preserved (left ventricular ejection fraction ≥ 45%), I‐Preserve and TOPCAT (Americas)

No DM (n = 5813)DM not on insulin (n = 1674)DM on insulin (n = 979) P‐value
OverallDM not on insulin vs. no DMDM on insulin vs. no DMDM on insulin vs. not on insulin
Age, years70.6 ± 9.469.9 ± 8.767.8 ± 8.4<0.00010.017<0.001<0.001
Age at diabetes onset, years57.8 ± 14.948.2 ± 14.8<0.0001
Duration of diabetes, years7 [3–13]16 [10–24]<0.0001
Male sex2724 (46.9)837 (50.0)447 (45.7)0.04080.0230.4860.031
Race<0.0001<0.001<0.001<0.001
White5357 (92.2)1429 (85.4)808 (82.5)
Black248 (4.3)126 (7.5)118 (12.1)
Asian62 (1.1)36 (2.2)20 (2.0)
Other146 (2.5)83 (5.0)33 (3.4)
Body mass index, kg/m2 29.4 ± 5.831.9 ± 6.734.0 ± 7.6<0.0001<0.001<0.001<0.001
Blood pressure, mmHg
Systolic134.6 ± 16.7135.0 ± 16.6134.0 ± 17.40.3130.9740.990.394
Diastolic77.7 ± 10.376.4 ± 10.672.9 ± 11.1<0.0001<0.001<0.001<0.001
Heart rate, b.p.m.70.5 ± 11.471.6 ± 11.072.0 ± 11.7<0.00010.0010.0010.99
NYHA class III–IV3262 (56.1)998 (59.6)600 (61.3)0.00130.0110.0030.397
LVEF, %58.2 ± 8.958.1 ± 8.858.1 ± 8.90.9160.990.990.99
Aetiology, n (%)<0.00010.081<0.001<0.001
Ischaemic1688 (34.9)467 (36.9)268 (44.7)
Hypertensive2393 (49.5)631 (49.9)231 (38.5)
Other755 (15.6)167 (13.2)101 (16.8)
HF duration0.00170.0010.1090.374
≤ 1 year2280 (47.2)557 (44.1)285 (47.5)
> 1 and ≤ 5 years1800 (37.3)454 (35.9)204 (34.0)
> 5 years752 (15.6)253 (20.0)111 (18.5)
Medical history
Current smoking321 (11.4)79 (9.0)47 (7.3)0.00360.0470.0030.249
HF hospitalization within the past 6 months2309 (39.7)723 (43.2)476 (48.6)<0.00010.011<0.0010.007
Myocardial infarction1550 (26.7)529 (31.6)305 (31.2)<0.0001<0.0010.0040.811
Angina2565 (44.1)765 (45.7)454 (46.4)0.2780.2540.190.736
CABG or PCI1118 (19.2)449 (26.8)377 (38.5)<0.0001<0.001<0.001<0.001
Hypertension4566 (78.5)1492 (89.1)872 (89.1)<0.0001<0.001<0.0010.964
Atrial fibrillation1914 (32.9)528 (31.5)279 (28.5)0.0190.2870.0060.1
Stroke481 (8.3)184 (11.0)114 (11.6)<0.00010.0010.0010.607
Dyslipidaemia1773 (44.6)748 (62.1)539 (75.1)<0.0001<0.001<0.001<0.001
Medications
Diuretics4609 (79.4)1433 (85.7)873 (89.3)<0.0001<0.001<0.0010.008
Loop3243 (55.8)1102 (65.9)779 (79.7)<0.0001<0.001<0.001<0.001
Thiazide1708 (29.4)434 (25.9)217 (22.2)<0.00010.006<0.0010.03
Calcium channel blocker2080 (35.8)668 (39.9)408 (41.7)<0.00010.002<0.0010.365
ACEI or ARB3555 (61.2)1187 (70.9)743 (75.9)<0.0001<0.001<0.0010.005
MRA1151 (19.8)382 (22.8)289 (29.5)<0.00010.007<0.001<0.001
Beta‐blocker3524 (60.7)1036 (61.9)671 (68.6)<0.00010.36<0.0010.001
Digoxin995 (17.1)302 (18.1)155 (15.8)0.3470.3830.3210.147
Antiarrhythmic agent574 (9.9)132 (7.9)56 (5.7)<0.00010.014<0.0010.036
Antiplatelet3346 (57.6)1060 (63.4)652 (66.7)<0.0001<0.001<0.0010.086
Oral anticoagulant1440 (24.8)391 (23.4)224 (22.9)0.2720.2320.2030.783
Lipid‐lowering agent2062 (35.5)833 (49.8)634 (64.8)<0.0001<0.001<0.001<0.001
ECG findings
Atrial fibrillation/flutter1113 (19.2)309 (18.5)146 (15.0)0.00790.4950.0020.023
QRS duration, milliseconds90 [80–108]94 [80–110]94 [82–112]0.00060.03570.00070.2218
Bundle branch block857 (14.8)276 (16.5)167 (17.2)0.0630.0870.0550.65
Left bundle branch block247 (8.2)59 (7.4)30 (8.8)0.6620.4460.7050.413
Right bundle branch block185 (6.2)70 (8.8)28 (8.3)0.0190.0090.1380.765
Left ventricular hypertrophy1311 (22.6)344 (20.6)148 (15.2)<0.00010.073<0.0010.001
Symptoms and signs
Dyspnoea on exertion2754 (97.7)857 (97.5)622 (97.2)0.7410.7360.450.71
Orthopnoea572 (20.4)244 (27.9)245 (38.5)<0.0001<0.001<0.001<0.001
Paroxysmal nocturnal dyspnoea320 (11.4)124 (14.3)117 (18.5)<0.00010.023<0.0010.028
Dyspnoea at rest142 (7.7)58 (12.3)44 (16.9)<0.00010.001<0.0010.091
Jugular venous distention533 (9.3)181 (11.0)123 (12.9)0.00090.037<0.0010.146
Oedema2759 (47.5)905 (54.1)626 (63.9)<0.0001<0.001<0.001<0.001
Rales1258 (21.7)370 (22.2)235 (24.2)0.2140.6460.080.241
Third heart sound299 (6.2)99 (7.8)53 (8.8)0.0120.0360.0130.458
Hepatomegaly647 (13.4)207 (16.4)63 (10.6)0.0020.0060.0540.001
Health‐related quality of life
Minnesota Living With Heart Failure score40 [26–56]45 [27–62]51 [33–70]<0.00010.0001<0.00010.0004
KCCQ clinical summary score65 [46–80]58 [42–76]52 [33–68]<0.00010.0006<0.00010.0002
Laboratory measurements
eGFR, mL/min/1.73 m2 71.5 ± 22.271.4 ± 24.862.7 ± 23.9<0.00010.99<0.001<0.001
eGFR < 60 mL/min/1.73 m2 1451 (32.4)518 (37.0)457 (53.3)<0.00010.002<0.001<0.001
Haemoglobin, g/dL13.9 ± 1.613.5 ± 1.712.9 ± 1.7<0.0001<0.001<0.001<0.001
NT‐proBNP, pg/mL364 [139–1017]430 [167–1041]581 [207–1336]<0.00010.174<0.00010.0024

Values are given as mean ± standard deviation, n (%), or median [interquartile range].

ACEI, angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; CABG, coronary artery bypass grafting; DM, diabetes mellitus; ECG, electrocardiogram; eGFR, estimated glomerular filtration rate; HF, heart failure; KCCQ, Kansas City Cardiomyopathy Questionnaire; LVEF, left ventricular ejection fraction; MRA, mineralocorticoid receptor antagonist; NT‐proBNP, N‐terminal pro‐B‐type natriuretic peptide; NYHA, New York Heart Association; PCI, percutaneous coronary intervention.

Age at diabetes onset and duration of diabetes were available in 716 (98%) patients from CHARM‐Preserved and 779 (99%) from TOPCAT; NT‐proBNP was available in 3838 (45%) patients; eGFR was available in 6735 (80%) patients; haemoglobin was available in 5735 (68%) patients. Current smoking, dyspnoea on exertion, orthopnoea, paroxysmal nocturnal dyspnoea and dyspnoea at rest were not recorded in I‐Preserve. Dyslipidaemia was not recorded in CHARM‐Preserved. Third heart sound and hepatomegaly were not recorded in TOPCAT. Left bundle branch block and right bundle branch block were only available in I‐Preserve.

Minnesota Living With Heart Failure score was available in 783 (30%) patients from CHARM‐Preserved and 3148 (76%) patients from I‐Preserve, and possible scores range from 0 to 105, with lower scores indicating a better quality of life.

KCCQ clinical summary score was available in 1726 (98%) patients from TOPCAT, and possible scores range from 0 to 100, with higher scores indicating better health‐related quality of life.

Patient characteristics according to baseline diabetes mellitus status and insulin use in the combined data sets of CHARM‐Preserved (left ventricular ejection fraction ≥ 45%), I‐Preserve and TOPCAT (Americas) Values are given as mean ± standard deviation, n (%), or median [interquartile range]. ACEI, angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; CABG, coronary artery bypass grafting; DM, diabetes mellitus; ECG, electrocardiogram; eGFR, estimated glomerular filtration rate; HF, heart failure; KCCQ, Kansas City Cardiomyopathy Questionnaire; LVEF, left ventricular ejection fraction; MRA, mineralocorticoid receptor antagonist; NT‐proBNP, N‐terminal pro‐B‐type natriuretic peptide; NYHA, New York Heart Association; PCI, percutaneous coronary intervention. Age at diabetes onset and duration of diabetes were available in 716 (98%) patients from CHARM‐Preserved and 779 (99%) from TOPCAT; NT‐proBNP was available in 3838 (45%) patients; eGFR was available in 6735 (80%) patients; haemoglobin was available in 5735 (68%) patients. Current smoking, dyspnoea on exertion, orthopnoea, paroxysmal nocturnal dyspnoea and dyspnoea at rest were not recorded in I‐Preserve. Dyslipidaemia was not recorded in CHARM‐Preserved. Third heart sound and hepatomegaly were not recorded in TOPCAT. Left bundle branch block and right bundle branch block were only available in I‐Preserve. Minnesota Living With Heart Failure score was available in 783 (30%) patients from CHARM‐Preserved and 3148 (76%) patients from I‐Preserve, and possible scores range from 0 to 105, with lower scores indicating a better quality of life. KCCQ clinical summary score was available in 1726 (98%) patients from TOPCAT, and possible scores range from 0 to 100, with higher scores indicating better health‐related quality of life.

Baseline characteristics

Table 1 shows the patient characteristics according to diabetes status and insulin use at baseline. Patients with diabetes who received insulin were younger (68 years) and less often of white race (83%), compared to patients with diabetes not on insulin (70 years and 85%, respectively) or patients without diabetes (71 years and 92%, respectively). The average BMI was highest in insulin‐treated patients with diabetes (34 kg/m2), intermediate in non‐insulin‐treated patients with diabetes (32 kg/m2), and lowest in those without diabetes (29 kg/m2). The opposite was true for the average diastolic blood pressure, despite a similar systolic blood pressure across groups (Table 1). Patients with diabetes receiving insulin more often had an ischaemic aetiology (45%) than either those with diabetes not on insulin (37%) or those without diabetes (35%). They were more likely to have undergone coronary revascularization than the latter two groups (39% vs. 27% and 19%, respectively). There was a similar difference in the prevalence of dyslipidaemia (75%, 62%, and 45% of each group, respectively) and the history of prior HF hospitalization (49%, 43%, and 40% of each group, respectively). Patients with diabetes, regardless of insulin use, had a higher prevalence of myocardial infarction, hypertension and stroke than patients without diabetes. The use of loop diuretics was much more frequent in insulin‐treated patients (80%) than in those with diabetes not on insulin (66%) and especially compared to those without diabetes (56%), as was the use of lipid lowering agents (65%, 50%, and 35% of each group, respectively). There was also a significant difference in the use of mineralocorticoid receptor antagonists (30%, 23%, and 20% of each group, respectively) and of angiotensin‐converting enzyme inhibitors or angiotensin receptor blockers (76%, 71%, and 61%, respectively). Although the mean LVEF differed little according to diabetes status or the use of insulin, patients treated with insulin had worse NYHA functional status, more HF‐related signs and symptoms, and worse health‐related quality of life, as indicated by a substantially higher MLWHF score and lower KCCQ clinical summary score compared to patients with diabetes not on insulin and, in particular, those without diabetes. For example, the proportion of patients with oedema was much higher in patients with insulin‐treated diabetes than in the other two groups (64%, 54%, and 48%, respectively). The median plasma NT‐proBNP concentration was highest in insulin‐treated individuals (581 pg/mL) and lowest in those without diabetes (364 pg/mL), with an intermediate level in patients with diabetes not treated with insulin (430 pg/mL). There was a similar pattern in the proportion of patients with an eGFR < 60 mL/min/1.73 m2 (53%, 32%, and 37% of each group, respectively).

Echocardiographic measurements

Of the 1398 patients with echocardiographic data available, 495 (35%) had diabetes at baseline. There were 206 (42%) diabetes patients on insulin treatment. The patients in this subset (and the differences among them in relation to diabetes status) were similar to those in the overall study cohort (online supplementary Table S6). Wall thickness, left ventricular mass and the proportion of participants with left ventricular hypertrophy was higher among those with diabetes not taking insulin than in those without diabetes and highest in those with diabetes treated with insulin (Table 2). Although there was no difference in LVEF, fractional shortening and mitral lateral annular tissue velocity during systole (S′ lateral) were lower in diabetic patients on insulin than the other two groups. The higher early diastolic mitral inflow velocity (E) and E/E' ratio in diabetes patients treated with insulin, compared to the other patient groups, suggested insulin‐treated patients had higher left ventricular end‐diastolic pressure and more diastolic dysfunction than the other participants. However, left atrial size was lowest in diabetes patients treated with insulin compared to the other two groups.
Table 2

Echocardiographic data according to baseline diabetes mellitus status and insulin use

Patients with data, n (%)No DM (n = 903)DM not on insulin (n = 289)DM on insulin (n = 206) P‐value
Age, years72.1 ± 8.371.4 ± 8.468.8 ± 8.6<0.0001
Male sex370 (41.0)156 (54.0)98 (47.6)0.0004
LV structure
End‐diastolic dimension, cm1291 (92)4.8 ± 0.64.9 ± 0.64.8 ± 0.60.0139
End‐diastolic volume, mL1176 (84)92.3 ± 35.598.0 ± 34.6101.1 ± 32.80.0032
End‐systolic dimension, cm1267 (91)3.2 ± 0.63.4 ± 0.53.4 ± 0.50.0003
End‐systolic volume, mL1176 (84)35.8 ± 19.038.5 ± 18.439.4 ± 16.40.0183
Septum wall thickness, cm1331 (95)1.06 ± 0.211.12 ± 0.221.21 ± 0.24<0.0001
Posterior wall thickness, cm1330 (95)1.01 ± 0.201.07 ± 0.201.16 ± 0.22<0.0001
Relative wall thickness1283 (92)0.44 ± 0.100.45 ± 0.110.49 ± 0.11<0.0001
LV mass, g1283 (92)182.7 ± 65.4204.8 ± 62.8223.7 ± 72.1<0.0001
LV mass index, g/m2 1278 (91)95.7 ± 30.2103.4 ± 28.2106.4 ± 28.5<0.0001
LV hypertrophya 1278 (91)268 (32.9)107 (40.5)98 (49.2)<0.0001
LV systolic properties
Fractional shortening, %1258 (90)32.6 ± 8.431.0 ± 7.130.8 ± 5.70.0013
Stroke volume, mL1176 (84)56.6 ± 21.359.4 ± 21.261.7 ± 19.80.0069
Ejection fraction, %1234 (88)61.9 ± 9.161.1 ± 8.860.9 ± 7.30.1929
S′ lateral, cm/s889 (64)7.8 ± 2.47.5 ± 2.47.2 ± 2.30.0222
LV diastolic properties
E, cm/s1289 (92)80.1 ± 28.488.6 ± 29.999.8 ± 28.7<0.0001
A, cm/s1063 (76)78.8 ± 26.579.0 ± 27.179.6 ± 27.20.9434
E/A1057 (76)1.6 ± 8.01.6 ± 4.71.8 ± 4.80.9686
E' lateral, cm/s894 (64)9.0 ± 3.68.7 ± 3.28.4 ± 3.10.1483
E' septal, cm/s888 (64)7.0 ± 3.06.6 ± 2.46.3 ± 2.20.0124
E/E' lateral882 (63)10.1 ± 4.711.4 ± 5.913.8 ± 6.0<0.0001
E/E' septal874 (63)13.0 ± 5.915.4 ± 7.317.9 ± 7.4<0.0001
E deceleration time, ms1283 (92)210.0 ± 74.0210.4 ± 67.8200.3 ± 53.60.2241
Isovolumic relaxation time, ms636 (45)96.5 ± 22.594.6 ± 19.987.5 ± 22.60.0295
Left atrial area, cm2 1267 (91)21.8 ± 6.322.3 ± 6.020.6 ± 5.20.0144
Left atrial volume, mL1091 (78)74.2 ± 33.874.5 ± 33.763.7 ± 26.30.0006
Left atrial volume index, mL/m2 1084 (78)39.5 ± 17.837.9 ± 17.631.2 ± 14.2<0.0001

Values are given as n (%), or mean ± standard deviation.

A, peak late diastolic filling velocity during atrial contraction; DM, diabetes mellitus; E, peak early diastolic filling velocity; E', mitral lateral and septal annular tissue velocity during early filling; LV, left ventricular; S′ lateral, mitral lateral annular tissue velocity during systole.

Defined as LV mass indexed to body surface area ≥ 115 g/m2 for men and ≥ 95 g/m2 for women.

Echocardiographic data according to baseline diabetes mellitus status and insulin use Values are given as n (%), or mean ± standard deviation. A, peak late diastolic filling velocity during atrial contraction; DM, diabetes mellitus; E, peak early diastolic filling velocity; E', mitral lateral and septal annular tissue velocity during early filling; LV, left ventricular; S′ lateral, mitral lateral annular tissue velocity during systole. Defined as LV mass indexed to body surface area ≥ 115 g/m2 for men and ≥ 95 g/m2 for women.

Clinical outcomes

Incidence rates and HRs for the risk of each outcome of interest, according to diabetes status and insulin use at baseline, are presented in Table 3 and Figure 1.
Table 3

Clinical outcomes according to baseline diabetes mellitus status and insulin use in the combined data sets of CHARM‐Preserved (left ventricular ejection fraction ≥ 45%), I‐Preserve and TOPCAT (Americas)

Patients, n Event, n (%)Annual rate per 100 person‐years (95% CI)Unadjusted HRa (95% CI)Adjusted 1 HRa (95% CI)Adjusted 2 HRa (95% CI)
CV death or HF hospitalization
No DM58131227 (21.1)6.3 (6.0–6.7)1.00 (Reference)1.00 (Reference)1.00 (Reference)
DM not on insulin1674513 (30.7)10.2 (9.4–11.2)1.58 (1.42–1.75), P < 0.0011.53 (1.37–1.70), P < 0.0011.49 (1.34–1.66), P < 0.001
DM on insulin979416 (42.5)17.1 (15.5–18.8)2.46 (2.20–2.76), P < 0.0012.37 (2.10–2.67), P < 0.0012.19 (1.94–2.48), P < 0.001
HF hospitalization
No DM5813811 (14.0)4.2 (3.9–4.5)1.00 (Reference)
DM not on insulin1674354 (21.2)7.1 (6.4–7.8)1.62 (1.43–1.83), P < 0.0011.54 (1.36–1.76), P < 0.0011.50 (1.32–1.71), P < 0.001
DM on insulin979325 (33.2)13.3 (12.0–14.9)2.77 (2.43–3.16), P < 0.0012.49 (2.16–2.87), P < 0.0012.25 (1.95–2.60), P < 0.001
CV death
No DM5813678 (11.7)3.2 (3.0–3.5)1.00 (Reference)1.00 (Reference)1.00 (Reference)
DM not on insulin1674259 (15.5)4.6 (4.1–5.2)1.42 (1.23–1.64), P < 0.0011.45 (1.25–1.68), P < 0.0011.43 (1.23–1.65), P < 0.001
DM on insulin979179 (18.3)5.9 (5.1–6.8)1.83 (1.55–2.17), P < 0.0012.09 (1.75–2.50), P < 0.0011.95 (1.63–2.33), P < 0.001
All‐cause death
No DM58131024 (17.6)4.9 (4.6–5.2)1.00 (Reference)1.00 (Reference)1.00 (Reference)
DM not on insulin1674387 (23.1)6.8 (6.2–7.6)1.39 (1.23–1.56), P < 0.0011.44 (1.27–1.62), P < 0.0011.41 (1.25–1.60), P < 0.001
DM on insulin979267 (27.3)8.8 (7.8–9.9)1.74 (1.52–2.00), P < 0.0012.02 (1.75–2.34), P < 0.0011.87 (1.61–2.16), P < 0.001
Sudden death
No DM5813235 (4.0)1.1 (1.0–1.3)1.00 (Reference)1.00 (Reference)1.00 (Reference)
DM not on insulin167493 (5.6)1.6 (1.3–2.0)1.49 (1.17–1.90), P = 0.0011.46 (1.14–1.87), P = 0.0031.46 (1.14–1.86), P = 0.003
DM on insulin97976 (7.8)2.5 (2.0–3.1)2.38 (1.83–3.10), P < 0.0012.68 (2.03–3.54), P < 0.0012.55 (1.93–3.37), P < 0.001
Pump failure death
No DM5813158 (2.7)0.8 (0.6–0.9)1.00 (Reference)1.00 (Reference)1.00 (Reference)
DM not on insulin167469 (4.1)1.2 (1.0–1.5)1.61 (1.21–2.13), P = 0.0011.90 (1.42–2.55), P < 0.0011.83 (1.36–2.46), P < 0.001
DM on insulin97941 (4.2)1.4 (1.0–1.8)1.72 (1.21–2.44), P = 0.0022.38 (1.64–3.44), P < 0.0012.14 (1.47–3.11), P < 0.001

BMI, body mass index; CI, confidence interval; CV, cardiovascular; DM, diabetes mellitus; eGFR, estimated glomerular filtration rate; HF, heart failure; HR, hazard ratio; LVEF, left ventricular ejection fraction; NT‐proBNP, N‐terminal pro‐B‐type natriuretic peptide; NYHA, New York Heart Association.

Adjustment Model 1: age, sex, heart rate, diastolic blood pressure, LVEF, NYHA class III/IV, BMI, HF hospitalization within the past 6 months, history of myocardial infarction, hypertension, and atrial fibrillation.

Adjustment Model 2: age, sex, race, heart rate, diastolic blood pressure, LVEF, NYHA class III/IV, BMI, HF hospitalization within the past 6 months, history of myocardial infarction, hypertension, and atrial fibrillation, eGFR, and log NT‐proBNP with simple imputation of eGFR and NT‐proBNP.

HRs for combined data were adjusted for within‐trial clustering.

Figure 1

Kaplan–Meier curves for clinical outcomes according to baseline diabetes mellitus (DM) status and insulin use in the combined data sets of CHARM‐Preserved (left ventricular ejection fraction ≥ 45%), I‐Preserve and TOPCAT (Americas). Kaplan–Meier estimates of the probability of cardiovascular (CV) death or first hospitalization for heart failure (HF) (A), CV death (B), first hospitalization for HF (C), all‐cause death (D), sudden death (E) and pump failure death (F).

Clinical outcomes according to baseline diabetes mellitus status and insulin use in the combined data sets of CHARM‐Preserved (left ventricular ejection fraction ≥ 45%), I‐Preserve and TOPCAT (Americas) BMI, body mass index; CI, confidence interval; CV, cardiovascular; DM, diabetes mellitus; eGFR, estimated glomerular filtration rate; HF, heart failure; HR, hazard ratio; LVEF, left ventricular ejection fraction; NT‐proBNP, N‐terminal pro‐B‐type natriuretic peptide; NYHA, New York Heart Association. Adjustment Model 1: age, sex, heart rate, diastolic blood pressure, LVEF, NYHA class III/IV, BMI, HF hospitalization within the past 6 months, history of myocardial infarction, hypertension, and atrial fibrillation. Adjustment Model 2: age, sex, race, heart rate, diastolic blood pressure, LVEF, NYHA class III/IV, BMI, HF hospitalization within the past 6 months, history of myocardial infarction, hypertension, and atrial fibrillation, eGFR, and log NT‐proBNP with simple imputation of eGFR and NT‐proBNP. HRs for combined data were adjusted for within‐trial clustering. Kaplan–Meier curves for clinical outcomes according to baseline diabetes mellitus (DM) status and insulin use in the combined data sets of CHARM‐Preserved (left ventricular ejection fraction ≥ 45%), I‐Preserve and TOPCAT (Americas). Kaplan–Meier estimates of the probability of cardiovascular (CV) death or first hospitalization for heart failure (HF) (A), CV death (B), first hospitalization for HF (C), all‐cause death (D), sudden death (E) and pump failure death (F).

Composite outcomes and mortality

In unadjusted analyses, there was a stepwise increase in the rates of each of the primary composite outcome, HF hospitalization, CV death, and all‐cause death across the no diabetes (reference group), non‐insulin‐treated diabetes, and insulin‐treated diabetes groups. The rate of the primary composite outcome was 6.3 per 100 patient‐years in patients without diabetes, and 10.2 and 17.1 per 100 patient‐years in diabetes patients without and with insulin use, respectively. A similar magnitude of difference was seen in the rate of HF hospitalization (4.2, 7.1 and 13.3 per 100 patient‐years in each group, respectively). The elevated risks of these outcomes persisted after adjustment for the prognostic variables including NT‐proBNP. Compared to individuals without diabetes, there was a doubling in risk of the primary composite outcome in patients on insulin [fully adjusted HR 2.19; 95% confidence interval (CI) 1.94–2.48; P < 0.001], whereas patients with diabetes not treated with insulin had a 50% higher risk (HR 1.49; 95% CI 1.34–1.66; P < 0.001). The same was also true for the risk of HF hospitalization (fully adjusted HR 2.25; 95% CI 1.95–2.60; P < 0.001, and 1.50; 95% CI 1.32–1.71; P < 0.001, respectively) and, to a lesser extent, for CV death (HR 1.95; 95% CI 1.63–2.33; P < 0.001, and 1.43; 95% CI 1.23–1.65; P < 0.001, respectively) and for all‐cause death (HR 1.87; 95% CI 1.61–2.16; P < 0.001, and 1.41; 95% CI 1.25–1.60; P < 0.001, respectively).

Sudden death and pump failure death

In addition, we investigated the two main modes of CV death (Table 3). Compared with patients without diabetes, patients on insulin had a substantially higher risk of sudden death (fully adjusted HR 2.55; 95% CI 1.93–3.37; P < 0.001) as well as pump failure death (fully adjusted HR 2.14; 95% CI 1.47–3.11; P < 0.001). The elevated risks were attenuated, but remained significantly higher, in the other patients with diabetes not receiving insulin, with a fully adjusted HR of 1.46 (95% CI 1.14–1.86; P = 0.003) for sudden death and 1.83 (95% CI 1.36–2.46; P < 0.001) for pump failure death, respectively. We also examined the outcomes of interest among patients with diabetes only (i.e. excluding those without diabetes in these comparisons) (Table 4). Overall, compared to those not receiving insulin, patients treated with insulin had significantly greater risks for the primary composite, its individual components, all‐cause death, and, particularly, sudden death. However, insulin use was not significantly associated with a higher risk of pump failure death. These associations were largely unchanged with adjustment for other prognostic variables including NT‐proBNP and the duration of diabetes.
Table 4

Clinical outcomes according to baseline insulin use in diabetic patients in the combined data sets of CHARM‐Preserved (left ventricular ejection fraction ≥ 45%), I‐Preserve and TOPCAT (Americas)

Unadjusted HRa (95% CI)Adjusted 1 HRa (95% CI)Adjusted 2 HRa (95% CI)Adjusted 3 HRa (95% CI)
CV death or HF hospitalization
DM not on insulin1.00 (Reference)1.00 (Reference)1.00 (Reference)1.00 (Reference)
DM on insulin1.57 (1.38–1.79), P < 0.0011.51 (1.32–1.73), P < 0.0011.43 (1.25–1.64), P < 0.0011.41 (1.23–1.63), P < 0.001
HF hospitalization
DM not on insulin1.00 (Reference)1.00 (Reference)1.00 (Reference)1.00 (Reference)
DM on insulin1.72 (1.47–2.00), P < 0.0011.58 (1.35–1.85), P < 0.0011.46 (1.24–1.72), P < 0.0011.45 (1.22–1.71), P < 0.001
CV death
DM not on insulin1.00 (Reference)1.00 (Reference)1.00 (Reference)1.00 (Reference)
DM on insulin1.32 (1.09–1.60), P = 0.0051.42 (1.17–1.74), P = 0.0011.35 (1.11–1.66), P = 0.0031.32 (1.07–1.63), P = 0.009
All‐cause death
DM not on insulin1.00 (Reference)1.00 (Reference)1.00 (Reference)1.00 (Reference)
DM on insulin1.29 (1.10–1.51), P = 0.0021.38 (1.18–1.63), P < 0.0011.30 (1.11–1.54), P = 0.0021.27 (1.07–1.50), P = 0.007
Sudden death
DM not on insulin1.00 (Reference)1.00 (Reference)1.00 (Reference)1.00 (Reference)
DM on insulin1.59 (1.17–2.16), P = 0.0031.81 (1.32–2.49), P < 0.0011.76 (1.28–2.42), P = 0.0011.67 (1.20–2.32), P = 0.002
Pump failure death
DM not on insulin1.00 (Reference)1.00 (Reference)1.00 (Reference)1.00 (Reference)
DM on insulin1.13 (0.76–1.67), P = 0.5371.30 (0.86–1.94), P = 0.2091.18 (0.78–1.78), P = 0.4291.20 (0.78–1.83), P = 0.411

BMI, body mass index; CI, confidence interval; CV, cardiovascular; DM, diabetes mellitus; eGFR, estimated glomerular filtration rate; HF, heart failure; HR, hazard ratio; LVEF, left ventricular ejection fraction; NT‐proBNP, N‐terminal pro‐B‐type natriuretic peptide; NYHA, New York Heart Association.

Adjustment Model 1: age, sex, heart rate, diastolic blood pressure, LVEF, NYHA class III/IV, BMI, HF hospitalization within the past 6 months, history of myocardial infarction, hypertension, and atrial fibrillation.

Adjustment Model 2: age, sex, heart rate, diastolic blood pressure, LVEF, NYHA class III/IV, BMI, HF hospitalization within the past 6 months, history of myocardial infarction, hypertension, and atrial fibrillation, eGFR, and log NT‐proBNP with simple imputation of eGFR and NT‐proBNP.

Adjustment Model 3: age, sex, race, heart rate, diastolic blood pressure, LVEF, NYHA class III/IV, BMI, HF hospitalization within the past 6 months, history of myocardial infarction, hypertension, and atrial fibrillation, eGFR, log NT‐proBNP and log diabetes duration with simple imputation of eGFR, NT‐proBNP and diabetes duration.

HRs for combined data were adjusted for within‐trial clustering.

Clinical outcomes according to baseline insulin use in diabetic patients in the combined data sets of CHARM‐Preserved (left ventricular ejection fraction ≥ 45%), I‐Preserve and TOPCAT (Americas) BMI, body mass index; CI, confidence interval; CV, cardiovascular; DM, diabetes mellitus; eGFR, estimated glomerular filtration rate; HF, heart failure; HR, hazard ratio; LVEF, left ventricular ejection fraction; NT‐proBNP, N‐terminal pro‐B‐type natriuretic peptide; NYHA, New York Heart Association. Adjustment Model 1: age, sex, heart rate, diastolic blood pressure, LVEF, NYHA class III/IV, BMI, HF hospitalization within the past 6 months, history of myocardial infarction, hypertension, and atrial fibrillation. Adjustment Model 2: age, sex, heart rate, diastolic blood pressure, LVEF, NYHA class III/IV, BMI, HF hospitalization within the past 6 months, history of myocardial infarction, hypertension, and atrial fibrillation, eGFR, and log NT‐proBNP with simple imputation of eGFR and NT‐proBNP. Adjustment Model 3: age, sex, race, heart rate, diastolic blood pressure, LVEF, NYHA class III/IV, BMI, HF hospitalization within the past 6 months, history of myocardial infarction, hypertension, and atrial fibrillation, eGFR, log NT‐proBNP and log diabetes duration with simple imputation of eGFR, NT‐proBNP and diabetes duration. HRs for combined data were adjusted for within‐trial clustering. We conducted a number of sensitivity analyses, including exclusion of patients with age < 20 years at diabetes onset and examination of only the subset of patients with echocardiographic measures (online supplementary Tables S2–S5 and S7). None of these additional analyses resulted in any major change to the overall findings.

Discussion

Previously we showed that, among patients with concurrent HFrEF and diabetes, those treated with insulin have worse symptoms, more signs of congestion and greater risks of death and HF hospitalization compared with those not on insulin.14 We believe our present report is the first to extend these observations to patients with HFpEF, and we have also identified additional, novel findings in this HF phenotype. We found that HFpEF patients with diabetes, treated with insulin, had a higher median NT‐proBNP and evidence of more congestion than those not treated with insulin, despite their younger age and similar average LVEF and duration of HF. In keeping with prior studies, we found that patients with diabetes had more echocardiographic left ventricular hypertrophy than those without and this was especially true for patients treated with insulin. In keeping with this, elevated early diastolic mitral inflow velocity (E) and E/E' ratio suggested greater diastolic dysfunction and increased left ventricular end‐diastolic pressure in patients treated with insulin. Although these individuals also had higher NT‐proBNP levels (as described above), consistent with this hypothesis, they had smaller left atrial size. This apparent paradox may be explained by the lower prevalence of atrial fibrillation in patients treated with insulin, which itself is an interesting finding that has been highlighted recently.21 Tan and colleagues suggested that differences in cardiac remodelling might explain the relative ‘protection’ HFpEF patients with diabetes have against atrial fibrillation, although our data suggest that this difference is confined to patients treated with insulin. We also found that HFpEF patients with insulin‐treated diabetes had worse health‐related quality of life and were twice as likely to experience CV death or HF hospitalization, even after extensive adjustment for other prognostic variables including NT‐proBNP and eGFR. These patients were at greater risk than not only individuals without diabetes but also those with diabetes treated with other glucose‐lowering agents. The importance of measuring patient‐reported outcomes in HF is now widely recognized and in the trials included in our analyses the two most commonly used instruments, i.e. the MLWHF score and the KCCQ, were employed.22, 23 We found that patients with diabetes on insulin had a substantially worse quality of life, with the average value of the MLWHF score 6 and 11 (out of 105) points higher (worse) compared to patients with diabetes not on insulin and those without diabetes, respectively. Likewise, a similar magnitude of incremental worsening of quality of life was observed across groups when examined using the KCCQ clinical summary score (6 and 13 points out of 100 worse, respectively). As well as evidence of greater congestion, the worse health‐related quality of life may reflect higher BMI, more coronary heart disease and greater renal impairment.24, 25 It is particularly notable that, whereas patient‐reported outcomes were markedly different among the groups examined, NYHA class (a physician‐reported outcome) was not. This suggests that physicians may not fully appreciate the impact of diabetes on health‐related quality of life in patients with HFpEF and reinforces the value of using patient‐reported outcomes. In addition to worse patient‐reported outcomes, individuals with diabetes, especially those treated with insulin, had worse clinical outcomes compared to patients without diabetes. Although a few studies have examined outcomes in HFpEF patients according to diabetes status, individually they have been too small to compare insulin‐treated patients to those not receiving insulin, could not adjust for all other important prognostic markers (particularly natriuretic peptides), or had both limitations.26 We found that, even after adjustment for NT‐proBNP and other key prognostic variables, use of insulin to treat diabetes was associated with around a doubling in risks for the composite of HF hospitalization or CV death, its individual components, and all‐cause mortality, and a 50% higher risk of these outcomes when other glucose‐lowering therapies were employed. Another strength of our study was that it was large enough to examine individual modes of death and these were adjudicated. Notably, we found that the greater risk of CV death was due to a higher rate of sudden death rather than pump failure death in insulin‐treated compared to non‐insulin‐treated patients with diabetes. This was an unexpected finding. A higher risk for pump failure rather than sudden death might have been predicted by the greater severity of symptoms and signs of congestion in insulin‐treated patients. It is possible, however, to postulate mechanisms leading to a greater risk of sudden death. The first relates to diabetes per se and, particularly, the development of autonomic neuropathy, which can cause cardiac electrical instability. The second relates to co‐morbidity, especially coronary artery disease which may predispose to ventricular arrhythmias. Thirdly, insulin treatment and the associated risk of hypoglycaemia may also be relevant. Hypoglycaemia has several adverse CV effects such as adrenergic activation, tachycardia, excessive compensatory vagal activation, bradycardia, myocardial ischaemia, hypokalaemia, and QT interval prolongation, all potentially leading to lethal arrhythmias.12, 27, 28 Insulin‐treated patients also have more adverse cardiac remodelling. Of course, these possible mechanisms are not mutually exclusive and are potentially additive. What are the clinical implications of our study? Patients with insulin‐treated diabetes have more congestion and physicians should be vigilant for this and consider appropriate use of diuretics to try to achieve euvolaemia. This may also help ameliorate the substantially worse health‐related quality of life in patients with insulin‐treated diabetes. More controversial is what to do about the initiation of insulin in patients with diabetes. Insulin has the advantage of being effective when combination therapy with other agents fails to achieve the glycaemic goal and improved glycaemic control can protect against microvascular complications that may lead to blindness and renal failure. However, this advantage may be accompanied by an increase in hypoglycaemia episodes and in weight. In addition, our findings showed insulin is associated with worse clinical outcomes in HF, although this is yet to be tested in a prospective randomized controlled trial, which is the only way of determining whether insulin is safe in HF. In the absence of such a trial, it may be preferable to avoid insulin, if possible, especially as there is some evidence that an alternative class of glucose‐lowering agents, the SGLT2 inhibitors, may be safe in HF.7, 8, 9, 10 However, prospective randomized outcome trials with these drugs in patients with established HF are required and are now underway.29 Our study has several limitations. The most important is that insulin treatment was not randomized and patients on insulin had longer standing diabetes, implying a greater severity of diabetes, and in turn, as indicated above, there were substantial differences in baseline characteristics between patients treated with and without insulin. While we attempted to adjust for these differences in our multivariable analyses, unmeasured confounders could not be accounted for.30 In one large placebo‐controlled trial in patients with pre‐diabetes and established type 2 diabetes, insulin did not increase the risk of incident or recurrent HF hospitalizations, although patients in NYHA class III or IV were not enrolled in this trial and the prevalence of HF at baseline was not recorded.31, 32 Several other limitations should also be acknowledged. First, our study was not prospectively planned, i.e. was retrospective. Second, the diagnosis of diabetes was reported by investigators without systematic documentation using standardized diagnostic criteria. It is possible that some cases were missed. Previous studies have identified that 8–22% of HF patients have undiagnosed diabetes.33, 34, 35 However, the misclassification of diabetes, if any, would weaken rather than strengthen effect estimates. Third, there was no differentiation between type 1 and type 2 diabetes. However, the overall findings did not change in the sensitivity analysis with the exclusion of patients having diabetes diagnosed under 20 years of age (4.4%), who were presumably type 1 diabetes (online supplementary Tables S1–S5 and Figure S1). Fourth, the TOPCAT Americas data have been published separately, although these account for only 21% of the total patients in the present data set in which we have conducted more comprehensive analyses.15 Finally, data on the type and dose of insulin (and other glucose‐lowering therapies), the level of glycaemic control (e.g. measurement of glycated haemoglobin), and burden of microvascular complications in patients with diabetes were not available. The trials included in this individual‐patient pooled analysis were conducted before the introduction of novel glucose‐lowering therapies including dipeptidyl peptidase‐4 and SGLT2 inhibitors and glucagon‐like peptide‐1 receptor agonists. In conclusion, among patients with HFpEF, those with diabetes taking insulin have more evidence of congestion, worse health‐related quality of life, higher concentrations of NT‐proBNP, and worse clinical outcomes, including higher risks of HF hospitalization, CV death, and all‐cause death, as compared to those not treated with insulin and, particularly, individuals without diabetes. The excess mortality in insulin‐treated patients is driven by a higher risk of sudden death. Whether the association between insulin use and poor outcomes in HFpEF is causal should be investigated in a prospective randomized controlled trial.

Funding

J.J.V.McM. is supported by British Heart Foundation Centre of Excellence award RE/18/6/34217. Conflict of interest: none declared. Table S1. Baseline characteristics according to baseline diabetes mellitus status and insulin use in the combined data sets of CHARM‐Preserved (LVEF ≥ 45%), I‐Preserve and TOPCAT (Americas) after excluding patients with age < 20 years at diabetes onset. Table S2. Clinical outcomes according to baseline diabetes mellitus status and insulin use in the combined data sets of CHARM‐Preserved (LVEF ≥ 45%), I‐Preserve and TOPCAT (Americas) after excluding patients with age < 20 years at diabetes onset. Table S3. Clinical outcomes according to baseline insulin use in diabetic patients in the combined data sets of CHARM‐Preserved (LVEF ≥ 45%), I‐Preserve and TOPCAT (Americas) after excluding patients with age < 20 years at diabetes onset. Table S4. Clinical outcomes according to baseline diabetes mellitus status and insulin use in the combined data sets of CHARM‐Preserved (LVEF ≥ 45%), I‐Preserve and TOPCAT (Americas) in patients with NT‐proBNP available after excluding patients with age < 20 years at diabetes onset. Table S5. Clinical outcomes according to baseline insulin use in diabetic patients in the combined data sets of CHARM‐Preserved (LVEF ≥ 45%), I‐Preserve and TOPCAT (Americas) in patients with NT‐proBNP available after excluding patients with age < 20 years at diabetes onset. Table S6. Baseline characteristics according to baseline diabetes mellitus status and insulin use among patients with full echocardiographic examination. Table S7. Clinical outcomes according to baseline diabetes mellitus status and insulin use in the combined data sets of CHARM‐Preserved (LVEF ≥ 45%), I‐Preserve and TOPCAT (Americas) (only patients with echocardiographic data). Figure S1. Cumulative incidences for clinical outcomes according to baseline diabetes mellitus status and insulin use in the combined data sets of CHARM‐Preserved (LVEF ≥ 45%), I‐Preserve and TOPCAT (Americas) after excluding patients with age < 20 years at diabetes onset. Click here for additional data file.
  35 in total

1.  Regional variation in patients and outcomes in the Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist (TOPCAT) trial.

Authors:  Marc A Pfeffer; Brian Claggett; Susan F Assmann; Robin Boineau; Inder S Anand; Nadine Clausell; Akshay S Desai; Rafael Diaz; Jerome L Fleg; Ivan Gordeev; John F Heitner; Eldrin F Lewis; Eileen O'Meara; Jean-Lucien Rouleau; Jeffrey L Probstfield; Tamaz Shaburishvili; Sanjiv J Shah; Scott D Solomon; Nancy K Sweitzer; Sonja M McKinlay; Bertram Pitt
Journal:  Circulation       Date:  2014-11-18       Impact factor: 29.690

2.  Baseline Characteristics of Patients With Heart Failure and Preserved Ejection Fraction in the PARAGON-HF Trial.

Authors:  Scott D Solomon; Adel R Rizkala; Martin P Lefkowitz; Victor C Shi; JianJian Gong; Nagesh Anavekar; Stefan D Anker; Juan L Arango; Jose L Arenas; Dan Atar; Turia Ben-Gal; Sergey A Boytsov; Chen-Huan Chen; Vijay K Chopra; John Cleland; Josep Comin-Colet; Hans-Dirk Duengen; Luis E Echeverría Correa; Gerasimos Filippatos; Andreas J Flammer; Michel Galinier; Armando Godoy; Eva Goncalvesova; Stefan Janssens; Tzvetana Katova; Lars Køber; Małgorzata Lelonek; Gerard Linssen; Lars H Lund; Eileen O'Meara; Béla Merkely; Davor Milicic; Byung-Hee Oh; Sergio V Perrone; Naresh Ranjith; Yoshihiko Saito; Jose F Saraiva; Sanjiv Shah; Petar M Seferovic; Michele Senni; Antonio S Sibulo; David Sim; Nancy K Sweitzer; Jyrki Taurio; Dragos Vinereanu; Bojan Vrtovec; Jiří Widimský; Mehmet B Yilmaz; Jingmin Zhou; Robert Zweiker; Inder S Anand; Junbo Ge; Carolyn S P Lam; Aldo P Maggioni; Felipe Martinez; Milton Packer; Marc A Pfeffer; Burkert Pieske; Margaret M Redfield; Jean L Rouleau; Dirk J Van Veldhuisen; Faiez Zannad; Michael R Zile; John J V McMurray
Journal:  Circ Heart Fail       Date:  2018-07       Impact factor: 8.790

3.  Comparison of Outcomes in Patients With Diabetes Mellitus Treated With Versus Without Insulin + Heart Failure With Preserved Left Ventricular Ejection Fraction (from the TOPCAT Study).

Authors:  Thao Huynh; Brian J Harty; Brian Claggett; Jerome L Fleg; Sonja M McKinlay; Inder S Anand; Eldrin F Lewis; Jacob Joseph; Akshay S Desai; Nancy K Sweitzer; Bertram Pitt; Marc A Pfeffer; Jean-Lucien Rouleau
Journal:  Am J Cardiol       Date:  2018-11-24       Impact factor: 2.778

4.  Comparison of the Effects of Glucagon-Like Peptide Receptor Agonists and Sodium-Glucose Cotransporter 2 Inhibitors for Prevention of Major Adverse Cardiovascular and Renal Outcomes in Type 2 Diabetes Mellitus.

Authors:  Thomas A Zelniker; Stephen D Wiviott; Itamar Raz; KyungAh Im; Erica L Goodrich; Remo H M Furtado; Marc P Bonaca; Ofri Mosenzon; Eri T Kato; Avivit Cahn; Deepak L Bhatt; Lawrence A Leiter; Darren K McGuire; John P H Wilding; Marc S Sabatine
Journal:  Circulation       Date:  2019-04-23       Impact factor: 29.690

5.  Clinical and Echocardiographic Characteristics and Cardiovascular Outcomes According to Diabetes Status in Patients With Heart Failure and Preserved Ejection Fraction: A Report From the I-Preserve Trial (Irbesartan in Heart Failure With Preserved Ejection Fraction).

Authors:  Søren L Kristensen; Ulrik M Mogensen; Pardeep S Jhund; Mark C Petrie; David Preiss; Sithu Win; Lars Køber; Robert S McKelvie; Michael R Zile; Inder S Anand; Michel Komajda; John S Gottdiener; Peter E Carson; John J V McMurray
Journal:  Circulation       Date:  2017-01-04       Impact factor: 29.690

6.  Risk of cardiac arrhythmias during hypoglycemia in patients with type 2 diabetes and cardiovascular risk.

Authors:  Elaine Chow; Alan Bernjak; Scott Williams; Robert A Fawdry; Steve Hibbert; Jenny Freeman; Paul J Sheridan; Simon R Heller
Journal:  Diabetes       Date:  2014-05       Impact factor: 9.461

7.  Association of Second-line Antidiabetic Medications With Cardiovascular Events Among Insured Adults With Type 2 Diabetes.

Authors:  Matthew J O'Brien; Susan L Karam; Amisha Wallia; Raymond H Kang; Andrew J Cooper; Nicola Lancki; Margaret R Moran; David T Liss; Theodore A Prospect; Ronald T Ackermann
Journal:  JAMA Netw Open       Date:  2018-12-07

8.  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

9.  Albiglutide and cardiovascular outcomes in patients with type 2 diabetes and cardiovascular disease (Harmony Outcomes): a double-blind, randomised placebo-controlled trial.

Authors:  Adrian F Hernandez; Jennifer B Green; Salim Janmohamed; Ralph B D'Agostino; Christopher B Granger; Nigel P Jones; Lawrence A Leiter; Anne E Rosenberg; Kristina N Sigmon; Matthew C Somerville; Karl M Thorpe; John J V McMurray; Stefano Del Prato
Journal:  Lancet       Date:  2018-10-02       Impact factor: 79.321

10.  The Prognostic Significance of Diabetes and Microvascular Complications in Patients With Heart Failure With Preserved Ejection Fraction.

Authors:  Pratik B Sandesara; Wesley T O'Neal; Heval M Kelli; Ayman Samman-Tahhan; Muhammad Hammadah; Arshed A Quyyumi; Laurence S Sperling
Journal:  Diabetes Care       Date:  2017-10-19       Impact factor: 19.112

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  13 in total

1.  The year in cardiology: heart failure.

Authors:  John G F Cleland; Alexander R Lyon; Theresa McDonagh; John J V McMurray
Journal:  Eur Heart J       Date:  2020-03-21       Impact factor: 29.983

2.  Heterogeneity of outcomes within diabetic patients with atrial fibrillation on edoxaban: a sub-analysis from the ETNA-AF Europe registry.

Authors:  Giuseppe Patti; Ladislav Pecen; Giuseppina Casalnuovo; Marius Constantin Manu; Paulus Kirchhof; Raffaele De Caterina
Journal:  Clin Res Cardiol       Date:  2022-08-17       Impact factor: 6.138

3.  Effects of empagliflozin on insulin initiation or intensification in patients with type 2 diabetes and cardiovascular disease: Findings from the EMPA-REG OUTCOME trial.

Authors:  Muthiah Vaduganathan; Silvio E Inzucchi; Naveed Sattar; David H Fitchett; Anne Pernille Ofstad; Martina Brueckmann; Jyothis T George; Subodh Verma; Michaela Mattheus; Christoph Wanner; Bernard Zinman; Javed Butler
Journal:  Diabetes Obes Metab       Date:  2021-10-07       Impact factor: 6.408

4.  Fenofibrate and Heart Failure Outcomes in Patients With Type 2 Diabetes: Analysis From ACCORD.

Authors:  João Pedro Ferreira; Francisco Vasques-Nóvoa; Diana Ferrão; Francisca Saraiva; Inês Falcão-Pires; João Sérgio Neves; Abhinav Sharma; Patrick Rossignol; Faiez Zannad; Adelino Leite-Moreira
Journal:  Diabetes Care       Date:  2022-07-07       Impact factor: 17.152

5.  Diabetic phenotype and prognosis of patients with heart failure and preserved ejection fraction in a real life cohort.

Authors:  Christophe Beauloye; Anne-Catherine Pouleur; Sibille Lejeune; Clotilde Roy; Alisson Slimani; Agnès Pasquet; David Vancraeynest; Jean-Louis Vanoverschelde; Bernhard L Gerber
Journal:  Cardiovasc Diabetol       Date:  2021-02-19       Impact factor: 9.951

6.  Sacubitril-valsartan as a treatment for apparent resistant hypertension in patients with heart failure and preserved ejection fraction.

Authors:  Alice M Jackson; Pardeep S Jhund; Inder S Anand; Hans-Dirk Düngen; Carolyn S P Lam; Marty P Lefkowitz; Gerard Linssen; Lars H Lund; Aldo P Maggioni; Marc A Pfeffer; Jean L Rouleau; Jose F K Saraiva; Michele Senni; Orly Vardeny; Magnus O Wijkman; Mehmet B Yilmaz; Yoshihiko Saito; Michael R Zile; Scott D Solomon; John J V McMurray
Journal:  Eur Heart J       Date:  2021-09-21       Impact factor: 29.983

7.  Insulin treatment in patients with diabetes mellitus and heart failure in the era of new antidiabetic medications.

Authors:  Lidia Staszewsky; Marta Baviera; Mauro Tettamanti; Pierluca Colacioppo; Fabio Robusto; Antonio D'Ettorre; Vito Lepore; Ida Fortino; Lucia Bisceglia; Ettore Attolini; Elisabetta Anna Graps; Gianluca Caldo; Maria Carla Roncaglioni; Silvio Garattini; Roberto Latini
Journal:  BMJ Open Diabetes Res Care       Date:  2022-03

8.  Hypoglycemia-Exacerbated Mitochondrial Connexin 43 Accumulation Aggravates Cardiac Dysfunction in Diabetic Cardiomyopathy.

Authors:  Xing Wei; Andrew Chia Hao Chang; Haishuang Chang; Shan Xu; Yilin Xue; Yuanxin Zhang; Ming Lei; Alex Chia Yu Chang; Qingyong Zhang
Journal:  Front Cardiovasc Med       Date:  2022-03-16

9.  Effect of insulin on readmission for heart failure following a hospitalization for acute heart failure.

Authors:  Vicente Bertomeu-Gonzalez; Lorenzo Fácila; Patricia Palau; Gema Miñana; Gonzalo Núñez; Rafael de la Espriella; Enrique Santas; Eduardo Núñez; Vicent Bodí; Francisco Javier Chorro; Alberto Cordero; Juan Sanchis; Josep Lupón; Antoni Bayés-Genís; Julio Núñez
Journal:  ESC Heart Fail       Date:  2020-08-13

10.  Effect of diabetes mellitus on the development of left ventricular contractile dysfunction in women with heart failure and preserved ejection fraction.

Authors:  Ke Shi; Meng-Xi Yang; Shan Huang; Wei-Feng Yan; Wen-Lei Qian; Yuan Li; Ying-Kun Guo; Zhi-Gang Yang
Journal:  Cardiovasc Diabetol       Date:  2021-09-14       Impact factor: 9.951

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