Literature DB >> 31467044

Use of sodium glucose cotransporter 2 inhibitors and risk of major cardiovascular events and heart failure: Scandinavian register based cohort study.

Björn Pasternak1,2, Peter Ueda3, Björn Eliasson4, Ann-Marie Svensson4,5, Stefan Franzén5,6, Soffia Gudbjörnsdottir4,5, Kristian Hveem7,8, Christian Jonasson7,8, Viktor Wintzell3, Mads Melbye2,9,10, Henrik Svanström3,2.   

Abstract

OBJECTIVE: To investigate the cardiovascular effectiveness of sodium glucose cotransporter 2 (SGLT2) inhibitors in routine clinical practice.
DESIGN: Cohort study using data from nationwide registers and an active-comparator new-user design.
SETTING: Denmark, Norway, and Sweden, from April 2013 to December 2016. PARTICIPANTS: 20 983 new users of SGLT2 inhibitors and 20 983 new users of dipeptidyl peptidase 4 (DPP4) inhibitors, aged 35-84, matched by age, sex, history of major cardiovascular disease, and propensity score. MAIN OUTCOME MEASURES: Primary outcomes were major cardiovascular events (composite of myocardial infarction, stroke, and cardiovascular death) and heart failure (hospital admission for heart failure or death due to heart failure). Secondary outcomes were the individual components of the cardiovascular composite and any cause death. In the primary analyses, patients were defined as exposed from treatment start throughout follow-up (analogous to intention to treat); additional analyses were conducted with an as-treated exposure definition. Cox regression was used to estimate hazard ratios.
RESULTS: Mean age of the study cohort was 61 years, 60% were men, and 19% had a history of major cardiovascular disease. Of the total 27 416 person years of follow-up in the SGLT2 inhibitor group, 22 627 (83%) was among patients who initiated dapagliflozin, 4521 (16%) among those who initiated empagliflozin, and 268 (1%) among those who initiated canagliflozin. During follow-up, 467 SGLT2 inhibitor users (incidence rate 17.0 events per 1000 person years) and 662 DPP4 inhibitor users (18.0) had a major cardiovascular event, whereas 130 (4.7) and 265 (7.1) had a heart failure event, respectively. Hazard ratios were 0.94 (95% confidence interval 0.84 to 1.06) for major cardiovascular events and 0.66 (0.53 to 0.81) for heart failure. Hazard ratios were consistent among subgroups of patients with and without history of major cardiovascular disease and with and without history of heart failure. Hazard ratios for secondary outcomes, comparing SGLT2 inhibitors with DPP4 inhibitors, were 0.99 (0.85 to 1.17) for myocardial infarction, 0.94 (0.77 to 1.15) for stroke, 0.84 (0.65 to 1.08) for cardiovascular death, and 0.80 (0.69 to 0.92) for any cause death. In the as-treated analyses, hazard ratios were 0.84 (0.72 to 0.98) for major cardiovascular events, 0.55 (0.42 to 0.73) for heart failure, 0.93 (0.76 to 1.14) for myocardial infarction, 0.83 (0.64 to 1.07) for stroke, 0.67 (0.49 to 0.93) for cardiovascular death, and 0.75 (0.61 to 0.91) for any cause death.
CONCLUSIONS: In this large Scandinavian cohort, SGLT2 inhibitor use compared with DPP4 inhibitor use was associated with reduced risk of heart failure and any cause death, but not with major cardiovascular events in the primary intention-to-treat analysis. In the additional as-treated analyses, the magnitude of the association with heart failure and any cause death became larger, and a reduced risk of major cardiovascular events that was largely driven by the cardiovascular death component was observed. These data help inform patients, practitioners, and authorities regarding the cardiovascular effectiveness of SGLT2 inhibitors in routine clinical practice. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

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Year:  2019        PMID: 31467044      PMCID: PMC6713906          DOI: 10.1136/bmj.l4772

Source DB:  PubMed          Journal:  BMJ        ISSN: 0959-8138


Introduction

Sodium glucose cotransporter 2 (SGLT2) inhibitors are relatively new glucose lowering drugs used in the treatment of type 2 diabetes. Randomised placebo controlled trials of cardiovascular outcomes, conducted in patients with type 2 diabetes with a history of cardiovascular disease or who were otherwise at high cardiovascular risk, have shown that these drugs (including canagliflozin, dapagliflozin, and empagliflozin) reduce the risk of hard cardiovascular endpoints.1 2 3 A recent meta-analysis of these trials showed that SGLT2 inhibitors reduced major adverse cardiovascular events (the composite of myocardial infarction, stroke, and cardiovascular death; hazard ratio 0.89, 95% confidence interval 0.83 to 0.96)), hospital admission for heart failure (0.69, 0.61 to 0.79), and any cause death (0.85, 0.78 to 0.93), although heterogeneity was high for the any cause death outcome across the three trials.4 Although these data, derived from controlled trial settings, provide firm evidence for the cardiovascular efficacy of SGLT2 inhibitors among patients at high cardiovascular risk, complementary data are needed to understand to what extent they translate to cardiovascular effectiveness in the broad group of patients in routine clinical practice. A few observational studies of SGLT2 inhibitors have been published. However, these studies were focused on heart failure alone,5 6 or used designs6 7 8 9 10 11 that introduced immortal time, which has a strong potential for bias towards protective associations in favour of SGLT2 inhibitors.12 13 One well designed study, which investigated canagliflozin alone, reported a reduced risk of hospital admission for heart failure versus three other glucose lowering drugs, but no difference in risk of a composite of myocardial infarction or stroke (cardiovascular death was not included in this composite).14 However, that study did not have adequate data on causes of death or on total mortality, and was thus unable to investigate cardiovascular and any cause death. In this register based cohort study, we used nationwide data from three Scandinavian countries to investigate the risk of major cardiovascular events and heart failure among new users of SGLT2 inhibitors versus an active comparator drug class, dipeptidyl peptidase 4 (DPP4) inhibitors.

Methods

Cohort

We conducted a cohort study, from April 2013 to December 2016, using nationwide register data from Denmark, Norway, and Sweden, and an active-comparator new-user design. 15 All patients in the three countries, who were aged 35-84, and who were new users of either SGLT2 inhibitors or DPP4 inhibitors was eligible for inclusion. New use was defined as initiation of either drug class among patients with no use of either drug class within the past two years. Exclusion criteria were dialysis or renal transplantation, end stage illness, drug misuse, major pancreatic disease, no prescription drug or register entry in the national patient registers in the past year, and hospital admission for any cause in the past 30 days (definitions in web table 1).

Data sources

Data were obtained from registers that have nationwide coverage of each of the three study countries and linked on individual level using unique patient identifiers. The data sources are summarised in web table 2 and have been described in detail previously.16 17 Briefly, drug treatment data were obtained from the national prescription registers, which record all filled prescriptions from all pharmacies in the countries, including information on specific drug, date of drug dispensing, and amount of drug. Given their nationwide coverage, these registers permitted the identification of all patients in the three countries initiating the study drugs. The population registers and the central bureaus of statistics provided demographic, vital status, and socioeconomic data. The national patient registers were used to obtain information on outcomes and comorbidities; these registers record all admissions to hospitals and outpatient specialist visits, and include data such as date of contact, diagnostic codes, and procedure codes. The cause of death registers, which are based on death certificates, provided cause of death data. The above data sources were used for the main analyses. For a sensitivity analysis, additional patient characteristics were obtained from the Swedish National Diabetes Register, a nationwide register to which trained physicians and nurses report clinical information regarding patients with diabetes.

Confounder control and matching

Propensity score methods were used to control for 59 potential confounder variables, including demographic and socioeconomic factors, comorbidities, drug treatments, and healthcare use (web table 3). We estimated propensity scores using logistic regression. Three variables had missing values (country of birth (<1% missing), civil status (<1%), and education (3%)); we handled these values by using a missing value category.18 SGLT2 inhibitor and DPP4 inhibitor users were matched, country wise, in a 1:1 ratio on propensity score using the nearest neighbour matching algorithm (caliper width 0.2 of the standard deviation of the logit score) with sex, age (five year intervals), and history of major cardiovascular disease (web table 4) as additional matching criteria. The analyses were conducted in a pooled, matched, three country cohort.

Outcomes

The coprimary outcomes were major cardiovascular events (defined as the composite of myocardial infarction, stroke, and cardiovascular death) and heart failure (defined as hospital admission for or death due to heart failure). Secondary outcomes were the components of the major cardiovascular events composite and any cause death. Cardiovascular outcomes were identified from primary diagnoses assigned during hospital admissions, captured through the national patient registers, and underlying cause of death diagnoses, captured through the cause of death registers (ICD-10 (international classification of diseases, 10th revision) codes in web table 5). The any cause death outcome was based on vital status data from the population registers. Scandinavian validation studies have shown that a register based strategy for identification of cardiovascular outcomes has positive predictive values of 88-100% for myocardial infarction, 69-99% for stroke, and 76-95% for heart failure (with the positive predictive values towards the higher ends of these ranges when validation assessments are based on primary diagnoses).19 20 21 As supplementary outcomes, we also analysed two serious adverse event outcomes of current concern with SGLT2 inhibitors: lower limb amputation and diabetic ketoacidosis (definitions in web table 5).2 16 22 23 24

Statistical analysis

Patients were followed from drug initiation to outcome event, emigration, death, age 85, or end of study. Patients were defined as exposed from treatment start throughout follow-up, analogous to an intention-to-treat design. Cox proportional hazards regression, with time since start of treatment as the underlying time scale, was used to estimate hazard ratios. Absolute differences, expressed as events per 1000 person years, were calculated as hazard ratio−1 multiplied by the rate in the comparator group, with the 95% confidence interval calculated analogously. Results were considered statistically significant if the 95% confidence interval did not overlap 1.0. Analyses were conducted using SAS software (version 9.4). We conducted subgroup analyses of both coprimary outcomes to assess effect modification by baseline characteristics, including analyses by sex, age, history of major cardiovascular disease (acute coronary syndrome, coronary revascularisation, stroke, heart failure, or peripheral arterial disease; definitions in web table 4), and history of heart failure (web table 4). A Wald test for homogeneity was used to assess differences between subgroups, regarding P<0.05 as consistent with significant heterogeneity. To assess consistency across data sources, we also analysed coprimary outcomes by country. We also conducted an additional analysis with an as-treated exposure definition. For this analysis, treatment duration was based on the estimated number of days covered by filled prescriptions, allowing for up to 90 days between prescriptions (gap period) and after the last prescription, which aimed to allow for irregular drug use and the capture of events occurring shortly after treatment cessation. In addition to censoring criteria applied in the primary analysis, patients were also censored at end of treatment and crossover to the other study drug. The serious adverse event outcomes were analysed with an as-treated exposure definition. We did a preplanned sensitivity analysis of the Swedish part of the matched cohort with additional multivariable adjustment for glycated haemoglobin, blood pressure, estimated glomerular filtration rate, albuminuria, body mass index, and smoking status. Because these six variables all had some missing values (web table 6), we used multiple imputation25; using the PROC MI procedure in SAS, 10 datasets were imputed applying the Markov Chain Monte Carlo method. When assessing the results, we compared the estimates for the coprimary outcomes from this analysis with those from the primary analysis of the Swedish part of the study cohort, thus evaluating the impact of additional adjustment for the mentioned variables and hence the potential influence of these variables as unmeasured confounders in the main analysis. We also conducted two post hoc sensitivity analyses. Firstly, we adjusted the models for country. Secondly, to test a shorter gap period in the operational definition of as-treated, we redid the analysis using 30 day and 60 day gap periods.

Patient and public involvement

No patients were involved in setting the research question, or in the design, conduct, or interpretation of the study. Being a study based on anonymised nationwide register data, there is no planned dissemination of results directly to study participants. A lay summary will be published on Karolinska Institute’s website and a press release will be issued. The authors will share the results with patient advocacy and national cardiovascular groups.

Results

During the study period, 25 988 eligible new users of SGLT2 inhibitors and 94 411 new users of DPP4 inhibitors were identified (fig 1; baseline characteristics before matching overall in web table 7 and by country in web tables 8-10). Following 1:1 matching by propensity score, age, sex, and history of major cardiovascular disease, the study cohort included 20 983 pairs of new users of SGLT2 inhibitors and DPP4 inhibitors. The groups were well balanced on all measured covariates (table 1); mean age was 61 (standard deviation 10), 60% were male, 19% had history of major cardiovascular disease, and 6% had history of heart failure.
Fig 1

Flowchart of patient inclusion in study cohort of new users of SGLT2 inhibitors and DPP4 inhibitors in Denmark, Norway, and Sweden, from April 2013 to December 2016. SGLT2=sodium-glucose cotransporter 2; DDP4=dipeptidyl peptidase 4. A single patient could be excluded because of more than one reason

Table 1

Baseline characteristics of new users of SGLT2 inhibitors and DPP4 inhibitors matched by propensity score, age, sex, and history of major cardiovascular disease in Denmark, Norway, and Sweden, from April 2013 to December 2016. Data are number (%) of users unless stated otherwise

CharacteristicSGLT2 inhibitors (n=20 983)DPP4 inhibitors (n=20 983)
Male sex12 589 (60)12 589 (60)
Age, mean (standard deviation)61 (10)61 (10)
Country
 Sweden9125 (43)9125 (43)
 Denmark5536 (26)5536 (26)
 Norway6322 (30)6322 (30)
Place of birth
 Scandinavia17 609 (84)17 592 (84)
 Rest of Europe1359 (6)1389 (7)
 Outside Europe1988 (9)1977 (9)
 Missing27 (<1)25 (<1)
Civil status
 Married/living with partner11 857 (57)11 789 (56)
 Single9086 (43)9149 (44)
 Missing40 (<1)45 (<1)
Education
 Primary school/secondary school/vocational training*11 522 (79)11 519 (79)
 Short tertiary education1116 (8)1116 (8)
 Medium or long tertiary education1704 (12)1705 (12)
 Missing319 (2)321 (2)
Year of cohort entry†
 20131278 (6)3872 (18)
 20144364 (21)5292 (25)
 20156081 (29)5884 (28)
 20169260 (44)5935 (28)
Comorbidities
 Acute coronary syndrome1543 (7)1578 (8)
 Other ischaemic heart disease3648 (17)3662 (17)
 Heart failure/cardiomyopathy1164 (6)1174 (6)
 Valve disorders473 (2)477 (2)
 Stroke766 (4)745 (4)
 Other cerebrovascular disease873 (4)854 (4)
 Atrial fibrillation1439 (7)1408 (7)
 Other arrhythmia916 (4)833 (4)
 Coronary revascularisation in past year284 (1)282 (1)
 Other cardiac surgery or invasive procedure in past year127 (1)104 (<1)
 Chronic obstructive pulmonary disease795 (4)759 (4)
 Other lung disease1448 (7)1470 (7)
 Venous thromboembolism471 (2)447 (2)
 Cancer1380 (7)1406 (7)
 Liver disease425 (2)434 (2)
 Rheumatic disease626 (3)600 (3)
 Psychiatric disorder2091 (10)2120 (10)
 Fracture in the past year346 (2)344 (2)
 Arterial disease (including amputation)1331 (6)1273 (6)
 Renal disease955 (5)909 (4)
 Diabetic complications6169 (29)6172 (29)
Hospital admissions and outpatient visits in the past year
 Hospital admissions due to cardiovascular causes881 (4)841 (4)
 Hospital admissions due to type 2 diabetes184 (1)180 (1)
 Hospital admissions due to other causes2565 (12)2559 (12)
 Outpatient visits due to cardiovascular causes2056 (10)1975 (9)
 Outpatient visits due to type 2 diabetes4659 (22)4657 (22)
 Outpatient visits due to other causes11 780 (56)11 655 (56)
Use of diabetes drugs in past six months
 Metformin16 540 (79)16 659 (79)
 Sulphonylureas4386 (21)4376 (21)
 Insulin6636 (32)6712 (32)
 GLP1 receptor agonists2143 (10)2112 (10)
 Other diabetes drugs (glitazones, glinides, acarbose)654 (3)649 (3)
 No diabetes drug1685 (8)1672 (8)
Time since use of first diabetes drug (years)
 <12542 (12)2532 (12)
 1-22496 (12)2559 (12)
 3-42528 (12)2567 (12)
 5-62649 (13)2578 (12)
 ≥710 768 (51)10 747 (51)
Use other drugs in past year
 ARB/ACE-I13 924 (66)13 905 (66)
 Calcium channel blocker6250 (30)6242 (30)
 Loop diuretic*2114 (14)2106 (14)
 Other diuretic*2592 (18)2591 (18)
 β blocker7453 (36)7411 (35)
 Digoxin397 (2)363 (2)
 Nitrate1516 (7)1487 (7)
 Platelet inhibitors7643 (36)7624 (36)
 Anticoagulant1454 (7)1393 (7)
 Lipid lowering drug14 145 (67)14 045 (67)
 Antidepressant3261 (16)3280 (16)
 Antipsychotic772 (4)794 (4)
 Anxiolytic, hypnotic, or sedative3757 (18)3727 (18)
 β2 agonist inhalant2009 (10)1951 (9)
 Anticholinergic inhalant632 (3)592 (3)
 Glucocorticoid inhalant2079 (10)2021 (10)
 Oral glucocorticoid1522 (7)1520 (7)
 NSAID5415 (26)5265 (25)
 Opioid4098 (20)4038 (19)
No of drugs used in past year*
 0-52842 (19)2929 (20)
 6-105939 (41)5937 (40)
 11-153669 (25)3596 (25)
 ≥162211 (15)2199 (15)

ACE-I=angiotensin converting enzyme inhibitor; ARB=angiotensin receptor blocker; DDP4=dipeptidyl peptidase 4; NSAID=non-steroidal anti-inflammatory drug; SGLT2=sodium-glucose cotransporter 2; GLP1=glucagon-like peptide 1.

Variable available in Denmark and Sweden but not Norway. Data reported for Denmark and Sweden only.

Year of cohort entry was not included in the propensity score.

Flowchart of patient inclusion in study cohort of new users of SGLT2 inhibitors and DPP4 inhibitors in Denmark, Norway, and Sweden, from April 2013 to December 2016. SGLT2=sodium-glucose cotransporter 2; DDP4=dipeptidyl peptidase 4. A single patient could be excluded because of more than one reason Baseline characteristics of new users of SGLT2 inhibitors and DPP4 inhibitors matched by propensity score, age, sex, and history of major cardiovascular disease in Denmark, Norway, and Sweden, from April 2013 to December 2016. Data are number (%) of users unless stated otherwise ACE-I=angiotensin converting enzyme inhibitor; ARB=angiotensin receptor blocker; DDP4=dipeptidyl peptidase 4; NSAID=non-steroidal anti-inflammatory drug; SGLT2=sodium-glucose cotransporter 2; GLP1=glucagon-like peptide 1. Variable available in Denmark and Sweden but not Norway. Data reported for Denmark and Sweden only. Year of cohort entry was not included in the propensity score. In the primary intention-to-treat analysis, duration of follow-up was a median 1.4 years (interquartile range 0.7-2.3; mean 1.5 (standard deviation 1.0)) overall, 1.1 years (0.6-2.0; 1.3 (0.9)) in the SGLT2 inhibitor group, and 1.7 years (0.8-2.7; 1.8 (1.1)) in the DPP4 inhibitor group. Of 27 416 person years of follow-up in the SGLT2 inhibitor group, 22 627 (83%) were among patients who initiated dapagliflozin, 4521 (16%) among those who initiated empagliflozin, and 268 (1%) among those who initiated canagliflozin. The distribution of person years by individual DPP4 inhibitors is shown in web table 11. The reasons for censoring according to study drug are shown in web table 12. In the additional as-treated analysis, which was based on follow-up time from drug initiation to drug cessation or switch to the other study drug, the duration of follow-up was median 0.8 years (interquartile range 0.4-1.5; mean 1.0 (standard deviation 0.9)) overall, 0.7 years (0.3-1.2; 0.9 (0.7)) among SGLT2 inhibitor users, and 0.9 years (0.5-1.7; 1.2 (0.9)) among DPP4 inhibitor users. The reasons for censoring according to study drug are shown in web table 12.

Primary and secondary outcomes

Figure 2 shows the cumulative incidences of coprimary and secondary outcomes. During follow-up, 467 SGLT2 inhibitor users (incidence rate 17.0 events per 1000 person years) and 662 DPP4 inhibitor users (18.0) had a major cardiovascular event, whereas 130 (4.7) and 265 (7.1) users had a heart failure event, respectively. The hazard ratios, comparing SGLT2 inhibitors with DPP4 inhibitors, were 0.94 (95% confidence interval 0.84 to 1.06) for major cardiovascular events and 0.66 (0.53 to 0.81) for heart failure (table 2).
Fig 2

Cumulative incidence of cardiovascular events associated with use of SGLT2 inhibitors, compared with use of DPP4 inhibitors—primary analyses (intention-to-treat exposure definition). Owing to declining numbers of patients at risk and outcome events, cumulative incidence curves were truncated at three years (maximum follow-up in the study was three years and nine months)

Table 2

Risk of coprimary and secondary outcomes associated with use of SGLT2 inhibitors, compared with use of DPP4 inhibitors

SGLT2 inhibitors (n=20 983)DPP4 inhibitors (n=20 983)Hazard ratio(95% CI)Absolute difference (No of events per 1000 person years; 95% CI)
No of eventsIncidence rate (No of events per1000 person years)No of eventsIncidence rate (No of events per1000 person years)
Primary analyses (intention-to-treat exposure definition)
Coprimary outcomes
 Major cardiovascular events*46717.066218.00.94 (0.84 to 1.06)−1.1 (−2.9 to 1.1)
 Heart failure†1304.72657.10.66 (0.53 to 0.81)−2.4 (−3.3 to −1.3)
Secondary outcomes
 Myocardial infarction2599.43499.40.99 (0.85 to 1.17)−0.1 (−1.4 to 1.6)
 Stroke1696.12386.40.94 (0.77 to 1.15)−0.4 (−1.5 to 1.0)
 Cardiovascular death1003.61634.40.84 (0.65 to 1.08)−0.7 (−1.5 to 0.4)
 Any cause death28210.249413.20.80 (0.69 to 0.92)−2.6 (−4.1 to −1.1)
Additional analyses (as-treated exposure definition)
Coprimary outcomes
 Major cardiovascular events*28115.043317.50.84 (0.72 to 0.98)−2.8 (−4.9 to −0.4)
 Heart failure†733.91726.90.55 (0.42 to 0.73)−3.1 (−4.0 to −1.9)
Secondary outcomes
 Myocardial infarction1638.72279.10.93 (0.76 to 1.14)−0.6 (−2.2 to 1.3)
 Stroke985.21536.10.83 (0.64 to 1.07)−1.0 (−2.2 to 0.3)
 Cardiovascular death583.11134.50.67 (0.49 to 0.93)−1.5 (−2.3 to −0.3)
 Any cause death1558.227711.10.75 (0.61 to 0.91)−2.8 (−4.3 to −1.0)

SGLT2=sodium-glucose cotransporter 2; DDP4=dipeptidyl peptidase 4.

Defined as composite of myocardial infarction, stroke, and death from cardiovascular causes.

Defined as hospital admission for, or death due to, heart failure.

Cumulative incidence of cardiovascular events associated with use of SGLT2 inhibitors, compared with use of DPP4 inhibitors—primary analyses (intention-to-treat exposure definition). Owing to declining numbers of patients at risk and outcome events, cumulative incidence curves were truncated at three years (maximum follow-up in the study was three years and nine months) Risk of coprimary and secondary outcomes associated with use of SGLT2 inhibitors, compared with use of DPP4 inhibitors SGLT2=sodium-glucose cotransporter 2; DDP4=dipeptidyl peptidase 4. Defined as composite of myocardial infarction, stroke, and death from cardiovascular causes. Defined as hospital admission for, or death due to, heart failure. Hazard ratios for secondary outcomes were 0.99 (95% confidence interval 0.85 to 1.17) for myocardial infarction, 0.94 (0.77 to 1.15) for stroke, 0.84 (0.65 to 1.08) for cardiovascular death, and 0.80 (0.69 to 0.92) for any cause death (table 2). In the additional as-treated analysis, the hazard ratio for the major cardiovascular events composite outcome was 0.84 (0.72 to 0.98), which appeared to be primarily driven by the cardiovascular death component (table 2). The hazard ratio for heart failure was 0.55 (0.42 to 0.73; table 2).

Subgroup analyses

Subgroup analyses are shown in figure 3. For both the outcome of major cardiovascular events and the outcome of heart failure, we saw substantial differences in incidence rates across subgroups, with the highest rates of outcome events observed among patients with history of major cardiovascular disease and those with history of heart failure. For the outcome of major cardiovascular events, we saw no significant heterogeneity in analyses of the association with SGLT2 inhibitors according to history of major cardiovascular disease and history of heart failure. However, we saw significant heterogeneity by sex and age. For the outcome of heart failure, we saw no significant heterogeneity across subgroups. Results by country are shown in web table 13.
Fig 3

Subgroup analyses of association between use of SGLT2 inhibitors and use of DPP4 inhibitors and risk of major cardiovascular events and heart failure. SGLT2=sodium-glucose cotransporter 2; DDP4=dipeptidyl peptidase 4

Subgroup analyses of association between use of SGLT2 inhibitors and use of DPP4 inhibitors and risk of major cardiovascular events and heart failure. SGLT2=sodium-glucose cotransporter 2; DDP4=dipeptidyl peptidase 4

Sensitivity analyses

The preplanned sensitivity analysis based on the Swedish part of the cohort was—in addition to confounding control through matching by propensity score, age, sex, and history of major cardiovascular disease—also adjusted for glycated haemoglobin, blood pressure, glomerular filtration rate, albuminuria, body mass index, and smoking status. Web table 6 shows the distribution of these variables and web table 14 shows the estimates from the multivariable model with multiple imputation. Comparing SGLT2 inhibitors with DPP4 inhibitors, hazard ratios for major cardiovascular events (1.04 (95% confidence interval 0.87 to 1.24)) and heart failure (0.83 (0.61 to 1.12)) in these additionally adjusted analyses were similar to those observed in the Swedish part of the matched cohort without such adjustment (1.01 (0.85 to 1.21) and 0.77 (0.57 to 1.04), respectively). In post hoc sensitivity analyses (web table 15), hazard ratios of the coprimary outcomes with additional adjustment for country were unchanged compared with the primary analyses. Hazard ratios of the coprimary outcomes of the as-treated analysis with the gap period reduced to 30 days and 60 days, respectively, were similar to those of the main as-treated analysis.

Supplementary serious adverse event outcomes

The incidence rate of lower limb amputation was 3.1 events per 1000 person years among SGLT2 inhibitor users and 2.6 events per 1000 person years among DPP4 inhibitor users, whereas the rates of diabetic ketoacidosis were 1.4 and 0.6, respectively. Hazard ratios comparing SGLT2 inhibitors with DPP4 inhibitors were 1.26 (95% confidence interval 0.88 to 1.81) for lower limb amputation and 2.14 (1.17 to 4.09) for diabetic ketoacidosis (web table 16).

Discussion

Main findings

This large Scandinavian cohort study investigated the cardiovascular effectiveness of SGLT2 inhibitors in routine clinical practice. Use of SGLT2 inhibitors, compared with use of DPP4 inhibitors, was not associated with a reduced risk of the coprimary outcome major cardiovascular events or any of the components of this composite outcome (the secondary outcomes myocardial infarction, stroke, and cardiovascular death). By contrast, use of SGLT2 inhibitors was associated with a 34% reduced risk of the coprimary outcome heart failure and a 20% reduced risk of the secondary outcome any cause death. Nineteen per cent of patients in the cohort had history of major cardiovascular disease; hazard ratios for the coprimary outcomes were consistent among subgroups of patients with and without such history.

Interpretation and comparison with previous studies

A recent meta-analysis of the three randomised cardiovascular outcome trials published so far confirmed the benefit of SGLT2 inhibitors on hospital admission for heart failure (hazard ratio 0.69 (95% confidence interval 0.61 to 0.79)); an effect that was similar in patients with (0.71 (0.62 to 0.82)) and without (0.64 (0.48 to 0.85)) atherosclerotic cardiovascular disease at baseline.4 In accordance with these findings, use of SGLT2 inhibitors in our study was associated with a risk reduction of heart failure that was of similar magnitude and consistent in subgroups of patients with and without major cardiovascular disease as well as those with and without pre-existing heart failure. This finding supports the notion that SGLT2 inhibitors could reduce risk of heart failure outcomes in a broad group of patients at varying levels of cardiovascular risk. However, in the light of the large differences in heart failure event rates between patients with and without history of heart failure as well as with and without history of cardiovascular disease, but with similar hazard ratios, patients with such histories are likely to derive the largest absolute benefit. By contrast to our finding of no association between SGLT2 inhibitors and major cardiovascular events in the primary analysis with an intention-to-treat exposure definition, the meta-analysis4 showed that SGLT2 inhibitors reduced risk of major adverse cardiovascular events (the composite of myocardial infarction, stroke, and cardiovascular death; hazard ratio 0.89 (95% confidence interval 0.83 to 0.96)). The protective effect seemed to be confined to patients with established atherosclerotic cardiovascular disease (0.86 (0.80 to 0.93)) whereas patients without such disease (but who had multiple cardiovascular risk factors, according to the design of the included trials) did not benefit (1.00 (0.87 to 1.16)). In our study, 81% of the study population did not have history of major cardiovascular disease at baseline, although subgroup analyses of those with such history also showed no association between use of SGLT2 inhibitors and risk of major cardiovascular events. Importantly, 83% of the person years of follow-up in our study were among patients who initiated dapagliflozin; in the DECLARE-TIMI 58 trial of dapagliflozin, researchers saw no reduction of major adverse cardiovascular events (0.93 (0.84 to 1.03)), not even in patients with established cardiovascular disease (although the hazard ratio in that subgroup tended towards possible benefit; 0.90 (0.79 to 1.02)).1 A few cohort studies have assessed cardiovascular risks associated with SGLT2 inhibitors. A multinational database study (CVD-REAL)7 8 9 10 and a study based on US Military Health System data (EASEL)11 reported reduced risk of cardiovascular events and death associated with SGLT2 inhibitors but had study design limitations. An important requirement for entry in a new user, pharmacoepidemiological cohort is that individuals are free of both the study drug and comparator drug during a washout period before entry.15 At the cohort creation step in CVD-REAL and EASEL, the assessment of new user status of SGLT2 inhibitor users and comparator drug users was separated, only taking into consideration previous use within the respective drug group. Further, drug exposure group assignment followed a hierarchical structure, giving preference to the SGLT2 inhibitor group. Hence, as outlined elsewhere,12 13 immortal time was introduced in patients initiating an SGLT2 inhibitor after having used a comparator drug, because these patients will have survived until the date of SGLT2 inhibitor initiation whereas the time on comparator drug was not included in the analysis. This immortal time would bias results in a protective direction favouring SGLT2 inhibitors. This bias likely explains why the hazard ratios for any cause death in those studies were around 0.50, whereas in our study, which excluded users of either study drug before cohort entry, the hazard ratio was 0.80. A third study, based on US claims, Medicare, and Medicaid data and focused on heart failure alone, similarly separated the inclusion SGLT2 inhibitors and comparator drugs.6 In another study based on Korean data investigating heart failure in SGLT2 inhibitor users versus DPP4 inhibitor users, the hazard ratio for heart failure was similar to that in our study.5 A well designed study based on US claims data compared canagliflozin with three individual glucose lowering drug classes, including DPP4 inhibitors.14 In accordance with our study, it reported a reduced risk of heart failure that was of similar magnitude in both patients with and without history of heart failure, whereas no reduced risk of cardiovascular events was observed. That study, however, had neither information on causes of death, which precluded the inclusion of cardiovascular death in the cardiovascular composite, nor adequate data on total mortality. Similarly, another well designed study used claims data to compare empagliflozin with sitagliptin; focused on the outcome of heart failure, it found a hazard ratio of similar magnitude as that in our study.26 Our study expands on previous observational data. Building on nationwide populations from three countries and adequately implementing an active-comparator new-user design, it provides the full spectrum of relevant outcomes including cardiovascular and any cause death for the SGLT2 inhibitor class, mainly based on dapagliflozin. Further, the results are supported by the consistency of the estimates when taking glycated haemoglobin, blood pressure, glomerular filtration rate, albuminuria, body mass index, and smoking into account in a sensitivity analysis based on an entire country. We conducted our main analyses using an intention-to-treat exposure definition. Hence, when interpreting the estimates, it is important to recognise that the analyses explicitly aimed to include all available person time among patients initiating SGLT2 inhibitors, regardless of subsequent downstream events, for instance, treatment cessation or switch. The main analyses thus investigated the overall clinical cardiovascular impact of initiating SGLT2 inhibitors. In the additional analysis with an as-treated definition of exposure, the magnitude of the protective association between SGLT2 inhibitors and both heart failure and any cause death became larger and a reduced risk of major cardiovascular events that was largely driven by the cardiovascular death component was observed. This finding indicates that the cardiovascular impact of SGLT2 inhibitors could be stronger during the time patients stay on the drug. Our analysis of diabetic ketoacidosis, showing a twofold increased risk, is consistent with our previous study in which the comparator group was glucagon-like peptide 1 receptor agonists and that was based on nationwide data from Denmark and Sweden.16 The current study expands on those findings by using DPP4 inhibitors as a comparator and by including data from an additional country (Norway). The results are in line with a relatively consistent body of literature supporting an increased risk of diabetic ketoacidosis with SGLT2 inhibitors.1 16 22 23 27 Further, the estimate for lower limb amputation in our study was inconclusive (hazard ratio 1.26 (95% confidence interval 0.88 to 1.81)), adding to the uncertainty regarding this potential adverse event, with some data supporting an association2 16 24 28 and other data not in support.1 3 28 29

Limitations

Although we took meticulous care to control for confounding, the observational design of the study and the absence of randomisation means that residual confounding cannot be ruled out. However, if confounding were present, it would have to selectively bias the association in a protective direction for SGLT2 inhibitors for one cardiovascular outcome (heart failure) but not others (eg, myocardial infarction and stroke). The study period was the first four years following the approval of SGLT2 inhibitors for clinical use. Although 25% of the SGLT2 inhibitor group were followed up for two years and more (as indicated by the upper limit of the interquartile range), median follow-up among SGLT2 inhibitor users was 1.1 years. A longer duration of follow-up might be required to detect differences in the major cardiovascular events outcome. With patients who initiated dapagliflozin contributing with the majority of follow-up time in our study, the results mainly apply to this specific drug. Investigation of cardiovascular events associated with different individual SGLT2 inhibitors and their head-to-head effectiveness represent important topics for future studies. We chose DPP4 inhibitors as the active comparator because these drugs are also one of the newer glucose lowering drug classes, used as second line agents. We aimed to investigate the clinical effectiveness of SGLT2 inhibitors, which relies on the comparator group being risk neutral. With regard to the outcome of major cardiovascular events, all four published cardiovascular outcome trials of DPP4 inhibitors (saxagliptin, sitagliptin, alogliptin, and linagliptin) were neutral.30 31 32 33 With regard to heart failure, three of the trials were neutral and one, investigating saxagliptin, reported a small increase in risk,30 31 32 33 whereas large observational studies found no increased risk associated with DPP4 inhibitors or with saxagliptin specifically.34 35 In our study, saxagliptin represented only 4% of DPP4 inhibitor exposure. Even if DPP4 inhibitors were not risk neutral, the analysis would still reflect the head-to-head comparative effectiveness of SGLT2 inhibitors versus DPP4 inhibitors.

Conclusion

In this large Scandinavian cohort, use of SGLT2 inhibitors, as compared with DPP4 inhibitors, was associated with reduced risk of heart failure and any cause death but not with major cardiovascular events in the primary intention-to-treat analysis. In the additional as-treated analyses, the magnitude of the association with heart failure and any cause death became larger, and a reduced risk of major cardiovascular events that was largely driven by the cardiovascular death component was observed. These data help inform patients, practitioners, and authorities regarding the cardiovascular effectiveness of SGLT2 inhibitors in routine clinical practice. Data from randomised cardiovascular outcome trials have shown that sodium glucose cotransporter 2 (SGLT2) inhibitors reduce the risk of major cardiovascular events and heart failure among patients with type 2 diabetes who have established cardiovascular disease or are at high cardiovascular risk The cardiovascular effectiveness of SGLT2 inhibitors in routine clinical practice is unclear In this large cohort study based on nationwide data from three Scandinavian countries, use of SGLT2 inhibitors, as compared with use of dipeptidyl peptidase 4 (DPP4) inhibitors, was associated with a 34% reduced risk of heart failure but was not associated with a reduced risk of major cardiovascular events Use of SGLT2 inhibitors was also associated with a 20% reduced risk of any cause death The findings were consistent in patients with and without history of major cardiovascular disease
  27 in total

Review 1.  Transparency in real-world evidence (RWE) studies to build confidence for decision-making: Reporting RWE research in diabetes.

Authors:  Elisabetta Patorno; Sebastian Schneeweiss; Shirley V Wang
Journal:  Diabetes Obes Metab       Date:  2020-04       Impact factor: 6.577

Review 2.  Empagliflozin for Patients with Heart Failure and Type 2 Diabetes Mellitus: Clinical Evidence in Comparison with Other Sodium-Glucose Co-transporter-2 Inhibitors and Potential Mechanism.

Authors:  Bo Liang; Rui Li; Peng Zhang; Ning Gu
Journal:  J Cardiovasc Transl Res       Date:  2022-08-15       Impact factor: 3.216

3.  Real-world evaluation of sodium-glucose co-transporter-2 inhibitors and dipeptidyl peptidase-4 inhibitors for managing type 2 diabetes mellitus: a retrospective multi-ethnic cohort study.

Authors:  Louise Gek Huang Goh; Jiandong Sun; Benjamin Shao Kiat Ong; Daphne Khoo; Chee Fang Sum; Kwong Ng
Journal:  J Diabetes Metab Disord       Date:  2022-03-03

4.  SGLT2 Inhibitors and the Risk of Acute Kidney Injury in Older Adults With Type 2 Diabetes.

Authors:  Min Zhuo; Julie M Paik; Deborah J Wexler; Joseph V Bonventre; Seoyoung C Kim; Elisabetta Patorno
Journal:  Am J Kidney Dis       Date:  2021-11-08       Impact factor: 11.072

5.  Effectiveness and safety of empagliflozin in routine care patients: Results from the EMPagliflozin compaRative effectIveness and SafEty (EMPRISE) study.

Authors:  Elisabetta Patorno; Ajinkya Pawar; Deborah J Wexler; Robert J Glynn; Lily G Bessette; Julie M Paik; Mehdi Najafzadeh; Kimberly G Brodovicz; Anouk Déruaz-Luyet; Sebastian Schneeweiss
Journal:  Diabetes Obes Metab       Date:  2021-12-01       Impact factor: 6.577

6.  Comparison of heart failure risk and medical costs between patients with type 2 diabetes mellitus treated with dapagliflozin and dipeptidyl peptidase-4 inhibitors: a nationwide population-based cohort study.

Authors:  Jong-Mi Seong; Jong Joo Kim; Hae Jin Kim; Hyun Soon Sohn
Journal:  Cardiovasc Diabetol       Date:  2020-06-22       Impact factor: 9.951

Review 7.  Innovation in Ambulatory Care of Heart Failure in the Era of Coronavirus Disease 2019.

Authors:  Orly Leiva; Ankeet S Bhatt; Muthiah Vaduganathan
Journal:  Heart Fail Clin       Date:  2020-06-19       Impact factor: 3.179

8.  The DIVE/DPV registries: evolution of empagliflozin use in clinical practice in Germany.

Authors:  Peter Bramlage; Sascha R Tittel; Christian Wagner; Kerstin König; Dirk Raddatz; Rosmarie Weber-Lauffer; Diether Erath; Jost Hilgenberg; Carsten Spies; Thomas Danne; Maximilian Gabler; Johannes Foersch; Ludwin Ley; Jochen Seufert
Journal:  BMJ Open Diabetes Res Care       Date:  2020-07

9.  Use of sodium-glucose co-transporter 2 inhibitors and risk of serious renal events: Scandinavian cohort study.

Authors:  Björn Pasternak; Viktor Wintzell; Mads Melbye; Björn Eliasson; Ann-Marie Svensson; Stefan Franzén; Soffia Gudbjörnsdottir; Kristian Hveem; Christian Jonasson; Henrik Svanström; Peter Ueda
Journal:  BMJ       Date:  2020-04-29

10.  The risk of new-onset atrial fibrillation in patients with type 2 diabetes mellitus treated with sodium glucose cotransporter 2 inhibitors versus dipeptidyl peptidase-4 inhibitors.

Authors:  Ann Wan-Chin Ling; Cze-Ci Chan; Shao-Wei Chen; Yi-Wei Kao; Chien-Ying Huang; Yi-Hsin Chan; Pao-Hsien Chu
Journal:  Cardiovasc Diabetol       Date:  2020-11-06       Impact factor: 9.951

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