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Cardiovascular and metabolic risk
Insulin treatment in patients with diabetes mellitus and heart failure in the era of new antidiabetic medications
  1. Lidia Staszewsky1,
  2. Marta Baviera2,
  3. Mauro Tettamanti3,
  4. Pierluca Colacioppo2,
  5. Fabio Robusto4,
  6. Antonio D'Ettorre5,
  7. Vito Lepore6,
  8. Ida Fortino7,
  9. Lucia Bisceglia5,
  10. Ettore Attolini8,
  11. Elisabetta Anna Graps9,
  12. Gianluca Caldo2,
  13. Maria Carla Roncaglioni2,
  14. Silvio Garattini10,
  15. Roberto Latini1
  1. 1Department of Cardiovascular Medicine, Laboratory of Cardiovascular Clinical Pharmacology, Mario Negri Institute for Pharmacological Research IRCCS, Milano, Italy
  2. 2Department of Cardiovascular Medicine, Laboratory of Cardiovascular Prevention, Mario Negri Institute for Pharmacological Research IRCCS, Milano, Italy
  3. 3Department of Health Policy, Laboratory of Geriatric Epidemiology, Mario Negri Institute for Pharmacological Research IRCCS, Milano, Italy
  4. 4Medonline-Statte, ASL-TA, Taranto, Puglia Health System, Bari, Italy
  5. 5Agenzia Regionale Strategica per la Salute ed il Sociale - AReSS Puglia, Area Epidemiologia e Care Intelligence, Puglia Health System, Bari, Italy
  6. 6Department of Public Health, Laboratory of Medical Research and Consumer Involvement, Mario Negri Institute for Pharmacological Research, Milano, Italy
  7. 7Region Health Ministry, Lombardy Region, Milano, Italy
  8. 8Agenzia Regionale Strategica per la Salute ed il Sociale - AReSS Puglia, Area Innovazione Sociale, Sanitaria e di Sistema-CRSS, Puglia Health System, Bari, Italy
  9. 9Agenzia Regionale Strategica per la Salute ed il Sociale - AReSS Puglia, Area Valutazione e Ricerca, Puglia Health System, Bari, Italy
  10. 10Mario Negri Institute for Pharmacological Research IRCCS, Milano, Italy
  1. Correspondence to Dr Lidia Staszewsky; lidia.staszewsky{at}marionegri.it

Abstract

Background Coexistent heart failure (HF) and diabetes mellitus (DM) are associated with marked morbidity and mortality. Optimizing treatment strategies can reduce the number and severity of events. Insulin is frequently used in these patients, but its benefit/risk ratio is still not clear, particularly since new antidiabetic drugs that reduce major adverse cardiac events (MACEs) and renal failure have recently come into use. Our aim is to compare the clinical effects of insulin in a real-world setting of first-time users, with sodium-glucose cotransporter-2 inhibitor (SGLT-2i), glucagon-like peptide-1 receptor agonist (GLP-1RA) and the other antihyperglycemic agents (other-AHAs).

Methods We used the administrative databases of two Italian regions, during the years 2010–2018. Outcomes in whole and propensity-matched cohorts were examined using Cox models. A meta-analysis was also conducted combining the data from both regions.

Results We identified 34 376 individuals ≥50 years old with DM and HF; 42.0% were aged >80 years and 46.7% were women. SGLT-2i and GLP-1RA significantly reduced MACE compared with insulin and particularly death from any cause (SGLT-2i, hazard ratio (95% CI) 0.29 (0.23 to 0.36); GLP-1RA, 0.482 (0.51 to 0.42)) and first hospitalization for HF (0.57 (0.40 to 0.81) and 0.67 (0.59 to 0.76)).

Conclusions In patients with DM and HF, SGLT-2i and GLP-1RA significantly reduced MACE compared with insulin, and particularly any cause of death and first hospitalization for HF. These groups of medications had high safety profiles compared with other-AHAs and particularly with insulin. The inadequate optimization of HF and DM cotreatment in the insulin cohort is noteworthy.

  • Diabetes Mellitus, Type 2
  • Heart Failure
  • Insulin
  • Treatment Outcome

Data availability statement

Data are available on reasonable request.

http://creativecommons.org/licenses/by-nc/4.0/

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

https://doi.org/10.1136/bmjdrc-2021-002708

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    Significance of this study

    What is already known about this subject?

    • Around 30% of patients with heart failure (HF) along with diabetes mellitus (DM) are treated with insulin. Results from post hoc analyses of HF trials and epidemiological studies showed that insulin increased the risk of death and HF hospitalizations. No randomized controlled trials have been done to assess the effect of insulin on clinical outcomes, and no data are available on its effects on major acute events when compared with the new antidiabetic medications—sodium glucose cotransporter-2 inhibitors (SGLT-2i) and glucagon-like peptide-1 receptor agonist (GLP-1RA). Some SGLT-2i are associated with a risk reduction of all-cause mortality, hospitalization for HF and renal failure in patients with HF with reduced ejection fraction and DM and of the combined endpoint of CV death or hospitalization in HF with preserved ejection fraction; no data from clinical trials in HF are available about GLP-1RA.

    What are the new findings?

    • The analysis of this population database showed that long-term treatment with either SGLT-2i or GLP1-RA compared to insulin was associated with a significant reduction of risk of death for any cause, first hospitalization for HF and of major cardiovascular events.

    • Individuals from the insulin cohort were undertreated with recommended cardiovascular medications and metformin.

    How might these results change the focus of research or clinical practice?

    • The use of SGLT-2i or GLP-1RA reduces major adverse cardiovascular events when compared with patients treated with insulin and also allow to reduce the insulin daily dose that further may decrease patients’ clinical risk. Treatment with insulin should be carefully individualized by a multidisciplinary team which includes cardiologists and diabetologists.

    Introduction

    Cardiovascular (CV) disease is the main cause of mortality and morbidity in patients with diabetes mellitus (DM). The risk of heart failure (HF) is more than double compared with that in patients without DM1 and although the determinants are not completely understood, the most important causes are hypertension, coronary artery disease and independent deleterious biochemical, functional and morphological changes of the myocardium.2 DM and HF separately are associated with significant mortality and morbidity and their coexistence further worsens patients’ outcomes, quality of life and burden of care.3 4

    The optimization of treatment strategies can reduce the number and severity of events in these high-risk patients. It is well established that some classes of antidiabetic agents increase the risk of CV events,3 but this is still not defined for others.

    Around 30% of patients with HF along with DM are treated with insulin5 6 although no randomized controlled trials have been or—could be—done to assess the effect of insulin on clinical outcomes. Therefore, no strong evidence on the effect of insulin in patients with DM and HF is available.

    Recent post hoc analyses of clinical trials in patients with HF with reduced and preserved left ventricular ejection fraction found that insulin was associated with higher risk of all-cause mortality and HF hospitalization.5 6 Cosmi et al, using administrative data from an Italian region, Apulia, showed that the risk of these events was even higher in subjects from the real world.5

    In recent years, new antidiabetic agents—glucagon-like peptide-1 receptor agonist (GLP-1RA) and sodium-glucose cotransporter-2 inhibitor (SGLT-2i)— in patients with diabetes with a high risk of CV events have increased the survival of hospital admission for HF, and renal outcomes independently of a glucose-lowering effect. GLP-1RA treatment was also associated with a significant reduction of non-fatal stroke risk,7 and SGLT-2i was associated with a risk reduction in all-cause mortality, hospitalization for HF and renal failure (RF) in patients with HF with reduced and preserved ejection fraction (EF) with and without DM.8–10 Trials with the new antidiabetic drugs also showed a tendency of a lower use of insulin in treated patients compared with controls.11

    The aim of our analysis was to assess the effects of insulin treatment compared with SGLT-2i, GLP-1RA and other antihyperglycemic agents (other-AHAs) on the risk of death and CV events in two Italian real-world populations with DM and HF. We also tested the safety of study treatments. The administrative databases of two regions, Lombardy and Apulia were used to verify the expected clinical benefits and risks in routine clinical settings and to check for possible North-South differences. Finally, we conducted a meta-analysis combining the data from both regions.

    Methods

    Data source

    Our study used linkable administrative health databases of two Italian regions, Lombardy and Apulia, which include population registries with demographic data of all residents and detailed information on out-of-hospital medical prescriptions and hospital records.12

    Healthcare in Italy is publicly funded for all residents, irrespective of social class or employment, and everyone is assigned a personal identification number kept in the National Civil Registration System. All residents are assisted by general practitioners and/or specialists under the National Health System (NHS). The pharmacy prescription database contains the medication name and Anatomic Therapeutic Chemical (ATC) classification code, quantity and date of dispensation of drugs reimbursed by the NHS. Data on hospitalization include date of admission, discharge, death, primary diagnosis and up to five coexisting clinical conditions and procedures received. The diagnoses, uniformly coded according to the Ninth International Code of Diseases (ICD-9-CM) and standardized in all Italian hospitals, are compiled by the hospital specialists directly in charge of the patients and are validated by hospitals against detailed clinical-instrumental data, as they determine the NHS reimbursement. A unique identification code allows linkage of all databases. To ensure privacy, each identification code was automatically converted into an anonymous code before Istituto di Ricerche Farmacologiche Mario Negri (IRFMN) received the dataset.

    Study cohorts and follow-up

    All subjects 50 years and older with chronic exposure to insulin and/or AHAs (at least two packages in 1 year, ATC code A10*, online supplemental annex 1) from January 1, 2010 through December 31, 2018, from the overall diabetic cohort were included in the analysis, with 44 970 subjects in Apulia and 236 944 in Lombardy. Subjects were split into four groups according to the first exposure (first-time users) as follows: GLP-1RA, SGLT-2i, insulin and other-AHAs including metformin, sulfonylureas, glinides, thiazolidinediones, acarbose and dipeptidyl peptidase-4 inhibitors. First-time users were defined as subjects first exposed to one of the AHAs, in the 5 years before entering the cohort, with no prior exposure to any medications belonging to the same class/group.

    Supplemental material

    Subjects started on GLP-1RA and SGLT-2i were included in the study from 2010 and 2015, depending on the availability of these drugs in the Italian market.

    Starting from the overall diabetic cohort, subjects with diabetes and a history of at least one hospitalization for HF were included in the analysis.

    Comorbidities for the 5 years before the index date were collected using hospital records. Previous exposure to any AHA class, hospital admissions and Drug Derived Complexity Index (DDCI) were calculated on the previous 5 years, and information on other medications of interest was retrieved for the previous 12 months. Information on duration of diabetes was collected based on the date of the first prescription of an antidiabetic agent or DM hospitalization between years 2000 and 2018 (online supplemental annex 2).

    Subjects were followed from starting the drug until the end of follow-up (December 31, 2018); reasons for censoring were migration or admission to a nursing home linked to the type of flow typical of administrative databases since in these two cases we lose the possibility to follow the subjects. The longest period of observation was 3.5 years depending on the availability of SGLT-2i on the Italian market.

    Study outcomes

    Outcomes of interest were death from any cause, hospital readmission for HF or kidney failure, stroke (ischemic and hemorrhagic) and myocardial infarction. We also analyzed the results as two different composite outcomes, one defined as death and the first admission for myocardial infarction or stroke (MACE3) and the second as first myocardial infarction, stroke, HF or unstable angina (MACE4).

    All clinical events were collected using hospital admission diagnoses according to the ICD-9-CM codes (online supplemental annexes 3 and 4). RF was not considered between the studied outcomes for SGLT-2i to avoid a further bias since these medications were not indicated in patients with RF between 2015 and 2018. Serious adverse events including hospital admission for hypoglycemia, ketoacidosis, diabetes with coma, limb amputation, RF, syncope and fractures, as primary diagnosis were also analyzed.

    Sensitivity analyses

    Three different preplanned sensitivity analyses of study outcomes were done to reduce confounding due to the imbalance in study covariates and to overcome the gap for missing clinical information: (1) propensity matched cohorts (PMCs), (2) whole cohort and PMC of subjects without a history of renal disease and (3) cumulative incidence of outcome events (Kaplan-Meier curves) in PMC with a similar calendar year of inclusion in the study and duration of follow-up, years 2015–2018 (online supplemental annex 5).

    To optimize the interpretation of the results, using data from the Apulia database further analyses were done to assess:

    1. Changes in insulin, SGLT-2i, GLP-1RA and other-AHA prescriptions: The exposure to the antidiabetic medications was considered positive when at least one pack was prescribed and dispensed 12 months before entering the cohort study and in the following 12 months, identifying the new prescriptions in the 12 months after the index date.

    2. Changes in insulin daily doses in SGLT-2i and GLP-1RA cohorts: The average of the defined daily dose (DDD) of insulin was calculated in 12 months before entering the study cohort and compared with that calculated in the 12 months after the index date.

    3. Insulin dose adjustments over 3 years after starting SGLT-2i or GLP-1RA treatment in Apulia: Subjects who reduced, maintained or increased the mean insulin of DDD were identified. In patients from the SGLT-2i or GLP-1RA cohorts whose insulin doses were reduced, the incidence of outcome events was calculated comparing the incidence in 3 years before and after study entry.

    Statistical analysis

    Frequencies and proportions are presented for categorical variables, and means and SDs for continuous variables. DDCI, previous hospital admission, history of diabetes and follow-up times are expressed as median and quartile 1–quartile 3 (Q1–Q3).

    Differences in baseline characteristics among the classes were tested using analysis of variance (for age) or Kruskall-Wallis test (for other numerical values) and χ2 test for categorical values.

    Time-to-first event analysis was conducted using multivariable Cox proportional hazard models; hazard ratios (HRs) and 95% CI for each outcome were estimated, comparing the effects of GLP-1RA, SGLT-2i and other-AHAs versus insulin (outcomes were analyzed by intention to treat, that is, according to first-time drug use). Confounders were chosen if they resulted significantly in the univariate analysis and based on their clinical relevance on outcomes as: age classes (50–59, 60–64, 65–69, 70–74, 75–79, >80), sex, index year, DDCI index and anamnesis of myocardial infarction, ischemic or hemorrhagic stroke, atrial fibrillation, chronic obstructive pulmonary disease (COPD), cancer, renal disease and diabetic history.

    In the main and sensitivity analyses, outcomes in studied cohorts were reported as crude incidence rates (IRs) per 100 person-years.

    Estimates of the cumulative incidence for death from any cause and first hospitalization for HF are presented as unadjusted Kaplan-Meier curves for each region. The log-rank test was used to compare the survival distribution, and the HR (95% CI) for clinical events was calculated.

    Pooled risks from the two regions were presented as a meta-analysis for an overall summary. I2 was used to calculate heterogeneity between the regions. An I2 probability ≥50% indicated significant heterogeneity. The fixed effects model was used when there was no significant inter-region heterogeneity; otherwise, the random effects model was used. The log-rank test, stratified by region, was used for comparisons, and HRs with 95% CI for events were calculated.

    In all analyses, p <0.05 was considered significant. All analyses were done with SAS V.9.4 (SAS Institute, Cary, North Carolina, USA).

    Results

    From January 1, 2010 to December 31, 2018, 144 970 DM subjects 50 years and older were identified, considered first-time users of antihyperglycemic medications such as SGLT-2i, or GLP-1RA, or insulin or other-AHAs in Apulia and 236 944 in Lombardy; HF coexisted, respectively, in 13 721 (9.5%) and 20 655 subjects (8.7%) (online supplemental figure 1). Baseline characteristics of subjects from whole studied cohorts are presented in table 1. The most frequent comorbidities in both regions were ischemic heart disease, atrial fibrillation, renal and COPD. At study entry, the median (Q1–Q3) duration of DM was 9 (6–10) years in subjects from Apulia region and 10 (7–10) years in those from Lombardy.

    View this table:
    Table 1

    Baseline characteristics of subjects with diabetes and heart failure according to study regions and antihyperglycemic therapy (first-time users from 2010 to 2018)

    The proportions of subjects with DM and HF treated with SGLT-2i, GLP-1RA, insulin and other-AHAs were similar in Apulia (3.9%, 3.3%, 51.2%, 41.6%) and (3.8%, 3.7%, 53.0%, 39.5%) in Lombardy (table 2).

    View this table:
    Table 2

    Concomitant treatments at study entry according to study regions and antihyperglycemic therapy (first-time users from 2010 to 2018)

    In both regions, subjects in the insulin and other-AHA cohorts were older and more likely to have concomitant illnesses such as cerebrovascular disease, atrial fibrillation, peripheral artery disease and cancer than the SGLT-2i and GLP-1RA cohorts. COPD was more frequent in subjects from the Apulia region in particular those from the insulin and AHAs cohorts. Renal diseases were frequent in the insulin cohort from both regions, 31.3%in Apulia and 27.1% in Lombardy.

    The rates of recommended medications for HF as ACE/angiotensin II receptor agonist blockers were lower in the insulin than in the SGLT-2i and GLP-1RA cohorts in Lombardy. Beta-blockers and lipid-lowering drugs were prescribed less in the insulin and other-AHA cohorts from both regions, while digitalis was prescribed more in the insulin and other-AHAs cohorts, in particular in Lombardy (table 2).

    Overall median (Q1–Q3) follow-up time was 2.5 (0.9–5.1) years in Apulia and 2.5 (0.8–5.0) years in Lombardy.

    Clinical events

    During follow-up, death from any cause and HF were the most frequent events with a higher IRs per 100 person-years in other-AHAs and insulin cohorts in both study regions (figures 1 and 2). A substantial significant reduction in death from any cause, first HF hospitalization and in MACE3 an MACE4 risk, was observed in both the SGLT-2i and GLP-1RA cohorts compared with insulin; a significant reduction in RF risk was also found in the GLP-1RA cohort; risk reduction was similar in both regions.

    Figure 1
    Figure 1

    Multivariable Cox proportional hazard regression model based on time-to-first event. Hazard ratios (HRs) and 95% CIs for each outcome, comparing the treatment effects of GLP-1RA, SGLT-2i and other-AHAs versus insulin (reference group) in the Apulia region. Covariates for HR adjustment: age classes (50–59, 60–64, 65–69, 70–74, 75–79, >80 years), sex, index year, myocardial infarction, stroke, atrial fibrillation, chronic obstructive pulmonary disease, cancer, diabetic history and DDCI. AHA, antihyperglycemic agent; DDCI, Drug Derived Complexity Index; GLP-1RA, glucagon-like peptide-1 receptor agonist; IR, incidence rate; MACE, major adverse cardiac event; SGLT-2i, sodium-glucose cotransporter-2 inhibitor.

    Figure 2
    Figure 2

    Multivariable Cox proportional hazard regression model based on time-to-first event. Hazard ratios (HRs) and 95% CIs for each outcome, comparing the treatment effects of GLP-1RA, SGLT-2i and other-AHAs versus insulin (reference group) in the Lombardy region. Covariates for HR adjustment: age classes (50–59, 60–64, 65–69, 70–74, 75–79, >80 years), sex, index year, myocardial infarction, stroke, atrial fibrillation, chronic obstructive pulmonary disease, cancer, diabetic history and DDCI. AHA, antihyperglycemic agent; DDCI, Drug Derived Complexity Index; GLP-1RA, glucagon-like peptide-1 receptor agonist; IR, incidence rate; MACE, major adverse cardiac event; SGLT-2i, sodium-glucose cotransporter-2 inhibitor.

    Kaplan-Meier curves for death from any cause and for first hospitalization for HF show how differences in the cumulative incidence of these events appeared soon when the SGLT-2i and GLP-1RA cohorts were compared with insulin (figure 3A,B); this was not apparent for the comparison with the other-AHAs. The benefit of treatments continued over the 3-year follow-up for the SGLT-2i cohort and 8 years for the GLP-1RA cohort.

    Figure 3
    Figure 3

    Kaplan-Meier curves of incidence of death from any cause (A) and for first hospitalization for heart failure (B) for the comparison of SGLT-2i, GLP-1 RA and other-AHAs with insulin over all available years of observation in Apulia and Lombardy. AHA, antihyperglycemic agent; GLP-1RA, glucagon-like peptide-1 receptor agonist; SGLT-2i, sodium-glucose cotransporter-2 inhibitor.

    Sensitivity analyses and meta-analysis

    The three prespecified sensitivity analyses in Apulia and Lombardy of the selected outcomes confirmed the results obtained in the whole population (online supplemental tables 1A, 1B, 2 and 3 and figures 2 and 3).

    Meta-analysis of the Lombardy and Apulia cohorts largely confirmed the results from the main analysis of the individual regions (online supplemental figure 4).

    Frequency of insulin and other antihyperglycemic prescriptions in the 12 months before and after study entry

    The frequency of subjects: (1) treated with insulin before entering the study, (2) those who started in the 12 months following the date of entry, and (3) those who continued insulin for 12 months in both regions are reported in online supplemental figure 5. The highest rate of patients with insulin prescriptions in the 12 months before study entry and in those who continued insulin for 12 months more, was found in the SGLT-2i cohort followed by the GLP-1RA cohort. The frequency of patients who started insulin treatment in the 12 months after study entry resulted much lower.

    In the insulin cohort, metformin prescriptions decreased from 71% in Apulia and 65% in Lombardy region in the 12 months before entering in the study to 29.9% and 21.9%, respectively, in the 12 months after entry (online supplemental table 4A, B).

    Insulin-defined daily dose and it changes in the SGLT-2i and GLP-1RA cohort

    An exploratory analysis of the Apulia cohort (online supplemental methods and table 4) showed that in the 12 months before study entry the average insulin DDD was 257±338 units in SGLT-2i and 160±230 units in GLP-1RA. The rate of subjects who decreased (56%), maintained (9.7%) or increased (34.2%) the mean DDD (mean DDD in the 12 months before vs mean DDD in the 12 months after entry in the study) was significantly different (p<0.0001) (online supplemental table 5). The reduction of insulin DDD resulted particularly significant in subjects treated with SGLT-2i (p<0.001). In the 244 subjects who reduced the insulin DDD, the incidence rate ratio (95% CI) for HF and myocardial infarction showed a significant reduction at 3-year follow-up (online supplemental table 6).

    Safety

    The rates of adverse events were similar in both regions. The most frequent serious adverse events were fractures in all cohorts but principally in the insulin (5.5% in Apulia, 5.3% in Lombardy) and the other-AHA cohort (6.9% and 6.6%, respectively). The second more frequent was lower limb amputations (table 3). Hypoglycemia and syncope were more frequent in the insulin and other-AHAs cohorts and absent or rare with SGLT-2i and GLP-1RA.

    View this table:
    Table 3

    Serious adverse events in study cohorts according to treatment in Apulia and Lombardy regions from 2010 to 2018

    Discussion

    The present study based on a large cohort of diabetic subjects with HF from two Italian regions provides the first consistent evidence that long-term treatment with either SGLT-2i or GLP-1RA compared with insulin is associated with a significant reduction of risk for death from any cause, first hospitalization for HF and the composite MACE3 and MACE4. In the meta-analysis, GLP-1RA treatment was also associated with a reduction in the risk of stroke.

    The association with a reduction in risk of death from any cause was markedly high in both regions (72% in Apulia and 71% in Lombardy) in the SGLT-2i cohort compared with the insulin cohort. A substantial risk reduction for death was also observed in the GLP-1RA cohort (51% in Apulia and 53% in Lombardy). The association with a reduction in risk for first hospitalization for HF for the MACE combined events was also significant in both regions. Seeking explanations for this impressive effect, we addressed the following issues.

    Overall treatment in the insulin cohort

    This study shows that subjects in the insulin cohort were treated differently from those in the cohorts of new antidiabetic drugs. First, beta-blockers, recommended therapy for HF, were less frequently prescribed, while nitrates and digitalis were prescribed more frequently. Second, lipid-lowering medications, associated with a reduction in mortality and disease progression in patients with DM with overt CV disease,13 were underprescribed to insulin patients.

    Insulin dose changed in SGLT-2i and GLP-1RA cohort

    Even if insulin appeared as a concomitant treatment in around 65% subjects in the SGLT-2i and GLP-1RA cohorts, a significant decrease was observed in the DDD in particular in the SGLT-2i cohort (online supplemental table 5) with a significant reduction in 3-year follow-up of hospitalization for HF and for acute myocardial infarction (online supplemental table 6). These results suggest that SGLT-2i and GLP-1RA can be considered for the reduction of insulin DDD, reducing the related adverse effects.14 Along this line, Cosmi et al11 hypothesized that the reduction in CV events showed by trials that assessed the effect of new antidiabetic drugs was in part due to a reduction in the insulin prescription since the proportion of patients treated with insulin at the study end was lower than at baseline.

    Metformin prescription

    Another noteworthy finding was the low frequency of metformin prescription in the insulin cohort. Metformin, recommended by international guidelines as standard baseline therapy for patients with DM and HF, was prescribed only in 29% in Apulia and 22% in Lombardy within the 12 months from study entry (online supplemental table 4A). Metformin is not only associated with a reduction of mortality15 but makes it possible to reduce the insulin DDD and consequently the probability of its adverse effects.4 16 However, most subjects in the SGTL-2i and GLP-1RA cohorts in our study were treated with metformin similarly to those in clinical trials in patients with DM, which showed the benefit of SGLT-2i and GLP-1RA on CV events.17 An additive interaction between metformin and the new antidiabetic drugs cannot be excluded.18

    SGLT-2i and GLP-1RA: patients and clinical effects

    The clinical characteristics of subjects from the SGLT-2i cohort show two interesting features in comparison with the other cohorts from both regions: (1) they more frequently had a history of ischemic heart disease and longer duration of DM, both frequent reasons for insulin prescription, suggesting that prescribing preferences of an antidiabetic treatment are changing and (2) patients are more frequently given the recommended treatment for HF and for the prevention of CV events, in particular lipid-lowering drugs.

    SGLT-2i were originally designed to treat hyperglycemia in T2DM but as they consistently showed an effect in reducing death, HF hospitalization and RF these agents have been successfully tested in HF. Thanks to DAPA-HF19 and EMPEROR Reduced-HF trials20 this class of drugs is now part of the recommended treatment of HF. A meta-analysis on the 8474 patients showed that the estimated reduction of risk with SGLT-2i was 13% for death from any cause, 26% for the composite endpoint of CV death and hospitalization for HF and 38% for renal disease.8 Our study shows a significant association between SGLT-2i and a reduction in the risk of outcome events when compared with insulin and not with “traditional antidiabetics” as in the placebo group of the two trials listed above.

    The ability of SGLT-2 inhibitors to optimize volume status21 through: (1) glycosuria and (2) inhibition of the sodium-hydrogen exchanger in the kidneys and the heart may result in a cascade of responses including increased natriuresis, reduced subendocardial ischemia, myocardial fibrosis, and increased cardiac contractility.

    The difference between SGLT-2i and standard diuretics may be related to a diuretic effect with transient natriuresis,22 an increase in erythrocyte mass, no vascular contraction and a selective reduction in interstitial fluid that may be unique for SGLT-2i.

    On the other hand since the 1980s, investigators have been trying to define the antinatriuretic effects of insulin, and recent evidence suggests that insulin mediates the tubular reabsorption of sodium, acting as an SGLT-2 agonist.23

    First evidence of long-term use of GLP-1RA in HF

    During the 8-year follow-up, there was a reduction in adverse clinical outcomes of GLP-1RA compared with insulin in individuals with HF, with a low rate of adverse events in both regions.

    Subgroup analyses of patients with prevalent HF from trials in DM have given contradictory results on the effects of GLP-1RA on major clinical events.24 In a meta-analysis of seven trials, GLP-1RA showed a modest but significant reduction in MACE (12%), in mortality from any cause (12%), in a kidney composite outcome – in large part due to the effects on albuminuria – (17%) and in admissions for HF (9%).25

    Two small randomized clinical trials assessed the effects on outcomes of a GLP-1RA (liraglutide and albiglutide) in patients with HF with reduced EF (HFrEF). Both studies, over a six-month follow-up, suggested potential harm with GLP-1RA, although not statistically significant.26 27 In a third clinical study again, in patients with HFrEF and 6-month follow-up, liraglutide did not change left ventricular function but increased adverse events.28

    Strengths and limitations

    This study is based on administrative databases from large cohorts that allow unbiased assessment of the epidemiology of disease, since all residents are covered by the Italian NHS. The databases offer a high level of completeness regarding drug prescriptions, diagnosis, procedures and length of observation; therefore, our analysis includes all individual with DM and HF. The retrospective analysis of databases shares the potential for bias common to similar studies since diagnosis of HF is based solely on hospitalization.

    Conscious that usually older and more severely ill people are treated with insulin, we repeated all risk analysis in propensity matched cohorts to ensure a like-with-like comparison with respect to these biases, confirming the reliability of the HR. Moreover, HR analysis was further adjusted for the covariates that resulted significantly different after matching (online supplemental table 1A–C). As observation was limited to 2015–2018 in the SGLT-2i cohort, we homogenized the calendar years and the period of follow-up in cohorts matched for time in a subsequent Kaplan-Meier analysis for death from any cause and first hospitalization for HF (online supplemental figures 2 and 3). Due to the higher rate of renal disease in the insulin cohort and a difference >10% in the propensity matched cohorts, a sensitivity analyses in the whole and propensity matched cohorts were followed excluding patients with an history of renal disease (online supplemental tables 2 and 3). Overall, the results of these sensitivity analyses are consistent with the main analysis.

    SGLT-2i were not indicated in Italy between 2015 and 2018 in subjects with RF, hence one of the reasons for the small number of RF events in this cohort that subsequently avoid further comparative analyses.

    In this study, SGLT-2i and GLP-1RA were prescribed in less than 5% of individuals. Despite the proven effectiveness in CV risk and short-term mortality reduction of these drugs in high CV risk patients, their underprescription is still an open issue.29

    The most frequently reported side effects are uncomplicated urogenital tract infection for SGLT-2i and gastrointestinal intolerance and increased frequency of gallbladder disease for GLP-1RA, events that do not always require hospitalization and in consequence are not identifiable in our database.

    In fact, due to the limitations that are typical of all the studies based on administrative databases, different types of information as those related to biomarker concentrations, out-of-pocket treatments or adverse drug reactions not requiring a specific medical procedure or hospitalization (as hypoglycemia or urinary infections) are not collected.

    Conclusions

    This analysis in patients with DM and HF showed that compared with insulin SGLT-2i and GLP-1RA significantly reduce death from any cause, first hospitalization for HF and the composite MACE3 and MACE4. These medications had high safety profiles compared with other-AHAs and particularly with insulin. However, individuals in the insulin cohort were undertreated with other recommended CV medications and metformin. General optimization of antidiabetic and CV treatment is still necessary to reduce major events in this high-risk population.

    Data availability statement

    Data are available on reasonable request.

    Ethics statements

    Patient consent for publication

    Ethics approval

    In Italy, studies using retrospective aggregated-anonymous data from administrative databases do not require ethics committee/institutional review board approval or notification.

    Acknowledgments

    We thank Giuseppe Preziosi, Monica Arivetti and Giovanna Rigotti from ARIA S.p.A., Alfredo Bevilacqua from Laife Reply S.p.A., Marco D. Forlani from T Bridge-BV Tech S.p.A. and Igor Monti from Istituto di Ricerche Farmacologiche Mario Negri IRCCS who kindly assisted us with data collection. We thank the Director of the Regional Agency for Health and Social Affairs of Puglia (AReSS-Puglia) for data availability and collaboration. We are grateful to Judith Bagott for language editing. We thank Antonio Nicolucci and the Scientific Committee from Fondazione Familia Casiraghi for their valuable comments on an earlier version of this manuscript.

    References

    1. ↵
      1. Kannel WB,
      2. Hjortland M,
      3. Castelli WP
      . Role of diabetes in congestive heart failure: the Framingham study. Am J Cardiol 1974;34:29–34.doi:10.1016/0002-9149(74)90089-7pmid:http://www.ncbi.nlm.nih.gov/pubmed/4835750
      OpenUrlCrossRefPubMedWeb of Science
    2. ↵
      1. Jia G,
      2. Hill MA,
      3. Sowers JR
      . Diabetic cardiomyopathy: an update of mechanisms contributing to this clinical entity. Circ Res 2018;122:624–38.doi:10.1161/CIRCRESAHA.117.311586pmid:http://www.ncbi.nlm.nih.gov/pubmed/29449364
      OpenUrlAbstract/FREE Full Text
    3. ↵
      1. Seferović PM,
      2. Petrie MC,
      3. Filippatos GS, et al
      . Type 2 diabetes mellitus and heart failure: a position statement from the heart failure association of the European Society of cardiology. Eur J Heart Fail 2018;20:853–72.doi:10.1002/ejhf.1170pmid:http://www.ncbi.nlm.nih.gov/pubmed/29520964
      OpenUrlCrossRefPubMed
    4. ↵
      1. Dunlay SM,
      2. Givertz MM,
      3. Aguilar D, et al
      . Type 2 diabetes mellitus and heart failure: a scientific statement from the American heart association and the heart failure Society of America: this statement does not represent an update of the 2017 ACC/AHA/HFSA heart failure guideline update. Circulation 2019;140:e294–324.doi:10.1161/CIR.0000000000000691pmid:http://www.ncbi.nlm.nih.gov/pubmed/31167558
      OpenUrlCrossRefPubMed
    5. ↵
      1. Cosmi F,
      2. Shen L,
      3. Magnoli M, et al
      . Treatment with insulin is associated with worse outcome in patients with chronic heart failure and diabetes. Eur J Heart Fail 2018;20:888–95.doi:10.1002/ejhf.1146pmid:http://www.ncbi.nlm.nih.gov/pubmed/29488676
      OpenUrlPubMed
    6. ↵
      1. Shen L,
      2. Rørth R,
      3. Cosmi D, et al
      . Insulin treatment and clinical outcomes in patients with diabetes and heart failure with preserved ejection fraction. Eur J Heart Fail 2019;21:974–84.doi:10.1002/ejhf.1535pmid:http://www.ncbi.nlm.nih.gov/pubmed/31271255
      OpenUrlPubMed
    7. ↵
      1. Li S,
      2. Vandvik PO,
      3. Lytvyn L, et al
      . SGLT-2 inhibitors or GLP-1 receptor agonists for adults with type 2 diabetes: a clinical practice guideline. BMJ 2021;373:n1091.doi:10.1136/bmj.n1091pmid:http://www.ncbi.nlm.nih.gov/pubmed/33975892
      OpenUrlAbstract/FREE Full Text
    8. ↵
      1. Zannad F,
      2. Ferreira JP,
      3. Pocock SJ, et al
      . Cardiac and kidney benefits of Empagliflozin in heart failure across the spectrum of kidney function: insights from EMPEROR-Reduced. Circulation 2021;143:310–21.doi:10.1161/CIRCULATIONAHA.120.051685pmid:http://www.ncbi.nlm.nih.gov/pubmed/33095032
      OpenUrlPubMed
    9. ↵
      1. Seferović PM,
      2. Coats AJS,
      3. Ponikowski P, et al
      . European Society of Cardiology/Heart failure association position paper on the role and safety of new glucose-lowering drugs in patients with heart failure. Eur J Heart Fail 2020;22:196–213.doi:10.1002/ejhf.1673pmid:http://www.ncbi.nlm.nih.gov/pubmed/31816162
      OpenUrlPubMed
    10. ↵
      1. Packer M,
      2. Butler J,
      3. Zannad F, et al
      . Effect of Empagliflozin on worsening heart failure events in patients with heart failure and preserved ejection fraction: EMPEROR-Preserved trial. Circulation 2021;144:1284–94.doi:10.1161/CIRCULATIONAHA.121.056824pmid:http://www.ncbi.nlm.nih.gov/pubmed/34459213
      OpenUrlPubMed
    11. ↵
      1. Cosmi F,
      2. Laini R,
      3. Nicolucci A
      . Semaglutide and cardiovascular outcomes in patients with type 2 diabetes. N Engl J Med 2017;376:890.doi:10.1056/NEJMc1615712pmid:http://www.ncbi.nlm.nih.gov/pubmed/28252261
      OpenUrlCrossRefPubMed
    12. ↵
      1. Baviera M,
      2. Genovese S,
      3. Lepore V, et al
      . Lower risk of death and cardiovascular events in patients with diabetes initiating glucagon-like peptide-1 receptor agonists or sodium-glucose cotransporter-2 inhibitors: a real-world study in two Italian cohorts. Diabetes Obes Metab 2021;23:1484–95.doi:10.1111/dom.14361pmid:http://www.ncbi.nlm.nih.gov/pubmed/33606897
      OpenUrlPubMed
    13. ↵
      1. Piepoli MF,
      2. Abreu A,
      3. Albus C, et al
      . Update on cardiovascular prevention in clinical practice: a position paper of the European association of preventive cardiology of the European Society of cardiology. Eur J Prev Cardiol 2020;27:181–205.doi:10.1177/2047487319893035pmid:http://www.ncbi.nlm.nih.gov/pubmed/31826679
      OpenUrlCrossRefPubMed
    14. ↵
      1. Gamble J-M,
      2. Chibrikov E,
      3. Twells LK, et al
      . Association of insulin dosage with mortality or major adverse cardiovascular events: a retrospective cohort study. Lancet Diabetes Endocrinol 2017;5:43–52.doi:10.1016/S2213-8587(16)30316-3pmid:http://www.ncbi.nlm.nih.gov/pubmed/27865756
      OpenUrlPubMed
    15. ↵
      1. Eurich DT,
      2. Weir DL,
      3. Majumdar SR, et al
      . Comparative safety and effectiveness of metformin in patients with diabetes mellitus and heart failure: systematic review of observational studies involving 34,000 patients. Circ Heart Fail 2013;6:395–402.doi:10.1161/CIRCHEARTFAILURE.112.000162pmid:http://www.ncbi.nlm.nih.gov/pubmed/23508758
      OpenUrlAbstract/FREE Full Text
    16. ↵
      1. Inzucchi SE,
      2. Masoudi FA,
      3. McGuire DK
      . Metformin in heart failure. Diabetes Care 2007;30:e129.doi:10.2337/dc07-1686pmid:http://www.ncbi.nlm.nih.gov/pubmed/18042738
      OpenUrlFREE Full Text
    17. ↵
      1. Singh AK,
      2. Singh R
      . Does background metformin therapy influence the cardiovascular outcomes with SGLT-2 inhibitors in type 2 diabetes? Diabetes Res Clin Pract 2021;172:108536.doi:10.1016/j.diabres.2020.108536pmid:http://www.ncbi.nlm.nih.gov/pubmed/33181201
      OpenUrlPubMed
    18. ↵
      1. van Baar MJB,
      2. van Ruiten CC,
      3. Muskiet MHA, et al
      . SGLT2 inhibitors in combination therapy: from mechanisms to clinical considerations in type 2 diabetes management. Diabetes Care 2018;41:1543–56.doi:10.2337/dc18-0588pmid:http://www.ncbi.nlm.nih.gov/pubmed/30030256
      OpenUrlAbstract/FREE Full Text
    19. ↵
      1. McMurray JJV,
      2. Solomon SD,
      3. Inzucchi SE, et al
      . Dapagliflozin in patients with heart failure and reduced ejection fraction. N Engl J Med 2019;381:1995–2008.doi:10.1056/NEJMoa1911303pmid:http://www.ncbi.nlm.nih.gov/pubmed/31535829
      OpenUrlCrossRefPubMed
    20. ↵
      1. Packer M,
      2. Anker SD,
      3. Butler J, et al
      . Cardiovascular and renal outcomes with Empagliflozin in heart failure. N Engl J Med 2020;383:1413–24.doi:10.1056/NEJMoa2022190pmid:http://www.ncbi.nlm.nih.gov/pubmed/32865377
      OpenUrlCrossRefPubMed
    21. ↵
      1. Jensen J,
      2. Omar M,
      3. Kistorp C, et al
      . Effects of empagliflozin on estimated extracellular volume, estimated plasma volume, and measured glomerular filtration rate in patients with heart failure (Empire HF renal): a prespecified substudy of a double-blind, randomised, placebo-controlled trial. Lancet Diabetes Endocrinol 2021;9:106–16.doi:10.1016/S2213-8587(20)30382-Xpmid:http://www.ncbi.nlm.nih.gov/pubmed/33357505
      OpenUrlPubMed
    22. ↵
      1. Mordi NA,
      2. Mordi IR,
      3. Singh JS, et al
      . Renal and cardiovascular effects of SGLT2 inhibition in combination with loop diuretics in patients with type 2 diabetes and chronic heart failure: the RECEDE-CHF trial. Circulation 2020;142:1713–24.doi:10.1161/CIRCULATIONAHA.120.048739pmid:http://www.ncbi.nlm.nih.gov/pubmed/32865004
      OpenUrlPubMed
    23. ↵
      1. Brands MW
      . Role of insulin-mediated antinatriuresis in sodium homeostasis and hypertension. Hypertension 2018;72:1255–62.doi:10.1161/HYPERTENSIONAHA.118.11728pmid:http://www.ncbi.nlm.nih.gov/pubmed/30571237
      OpenUrlPubMed
    24. ↵
      1. Khan MS,
      2. Fonarow GC,
      3. McGuire DK, et al
      . Glucagon-Like peptide 1 receptor agonists and heart failure: the need for further evidence generation and practice guidelines optimization. Circulation 2020;142:1205–18.doi:10.1161/CIRCULATIONAHA.120.045888pmid:http://www.ncbi.nlm.nih.gov/pubmed/32955939
      OpenUrlPubMed
    25. ↵
      1. Kristensen SL,
      2. Rørth R,
      3. Jhund PS, et al
      . Cardiovascular, mortality, and kidney outcomes with GLP-1 receptor agonists in patients with type 2 diabetes: a systematic review and meta-analysis of cardiovascular outcome trials. Lancet Diabetes Endocrinol 2019;7:776–85.doi:10.1016/S2213-8587(19)30249-9pmid:http://www.ncbi.nlm.nih.gov/pubmed/31422062
      OpenUrlPubMed
    26. ↵
      1. Margulies KB,
      2. Hernandez AF,
      3. Redfield MM, et al
      . Effects of liraglutide on clinical stability among patients with advanced heart failure and reduced ejection fraction: a randomized clinical trial. JAMA 2016;316:500–8.doi:10.1001/jama.2016.10260pmid:http://www.ncbi.nlm.nih.gov/pubmed/27483064
      OpenUrlCrossRefPubMed
    27. ↵
      1. Lepore JJ,
      2. Olson E,
      3. Demopoulos L, et al
      . Effects of the novel long-acting GLP-1 agonist, Albiglutide, on cardiac function, cardiac metabolism, and exercise capacity in patients with chronic heart failure and reduced ejection fraction. JACC Heart Fail 2016;4:559–66.doi:10.1016/j.jchf.2016.01.008pmid:http://www.ncbi.nlm.nih.gov/pubmed/27039125
      OpenUrlAbstract/FREE Full Text
    28. ↵
      1. Jorsal A,
      2. Kistorp C,
      3. Holmager P, et al
      . Effect of liraglutide, a glucagon-like peptide-1 analogue, on left ventricular function in stable chronic heart failure patients with and without diabetes (LIVE)-a multicentre, double-blind, randomised, placebo-controlled trial. Eur J Heart Fail 2017;19:69–77.doi:10.1002/ejhf.657pmid:http://www.ncbi.nlm.nih.gov/pubmed/27790809
      OpenUrlCrossRefPubMed
    29. ↵
      1. Nelson AJ,
      2. Pagidipati NJ,
      3. Aroda VR, et al
      . Incorporating SGLT2i and GLP-1RA for cardiovascular and kidney disease risk reduction: call for action to the cardiology community. Circulation 2021;144:74–84.doi:10.1161/CIRCULATIONAHA.121.053766pmid:http://www.ncbi.nlm.nih.gov/pubmed/34228476
      OpenUrlPubMed

    Supplementary materials

    • Supplementary Data

      This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.

    Footnotes

    • Contributors LS, SG, FR, MT, MCR, VL and RL contributed to the conception and design of the study and data interpretation; AD, LB, IF, EA and EAG contirbuted to the data extraction; FR, PC and GC contributed to data analysis; LS, MT, MB and RL conducted the quality assessment. All authors contributed to drafting the manuscript or revising it critically for important intellectual content, and all authors approved the manuscript. The authors had full access to all the data in the study and the final responsibility for the decision to submit for publication. LS is responsible for the overall content as guarantor and attests that all listed authors meet authorship criteria.

    • Funding This work was partially supported by a grant from the Health Authorities of Lombardy and Apulia that were involved in data collection and from the Fondazione Famiglia Casiraghi-Premio per la Ricerca Cardiovascolare 2017 nelle Unità Operative di Cardiologia della Regione Lombardia. Access to data is allowed within the agreements between the IRFMN and the Regional Health Ministry of Lombardy, and between the IRFMN and the Regional Healthcare Agency of Apulia.

    • Competing interests None declared.

    • Provenance and peer review Not commissioned; externally peer reviewed.

    • Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.