Literature DB >> 31504427

Relationship between hypoglycaemia, cardiovascular outcomes, and empagliflozin treatment in the EMPA-REG OUTCOME® trial.

David Fitchett1, Silvio E Inzucchi2, Christoph Wanner3, Michaela Mattheus4, Jyothis T George5, Ola Vedin6, Bernard Zinman7, Odd Erik Johansen8.   

Abstract

AIMS: Hypoglycaemia, in patients with Type 2 diabetes (T2D) is associated with an increased risk for cardiovascular (CV) events. In EMPA-REG OUTCOME, the sodium-glucose co-transporter-2 inhibitor empagliflozin reduced the risk of CV death by 38% and heart failure hospitalization (HHF) by 35%, while decreasing glycated haemoglobin (HbA1c) without increasing hypoglycaemia. We investigated CV outcomes in patients with hypoglycaemia during the trial and the impact of hypoglycaemia on the treatment effect of empagliflozin. METHODS AND
RESULTS: About 7020 patients with T2D (HbA1c 7-10%) were treated with empagliflozin 10 or 25 mg, or placebo and followed for median 3.1 years. The relationship between on-trial hypoglycaemia and CV outcomes, and effects of empagliflozin on outcomes by incident hypoglycaemia [HYPO-broad: symptomatic hypoglycaemia with plasma glucose (PG) ≤70 mg/dL, any hypoglycaemia with PG <54 mg/dL, or severe hypoglycaemia, and HYPO-strict: hypoglycaemia with PG <54 mg/dL, or severe hypoglycaemia] was investigated using adjusted Cox regression models with time-varying covariates for hypoglycaemia and interaction with treatment. HYPO-broad occurred in 28% in each group and HYPO-strict in 19%. In the placebo group, hypoglycaemia was associated with an increased risk of HHF for both HYPO-broad [hazard ratio (HR, 95% confidence interval, CI) 1.91 (1.25-2.93)] and HYPO-strict [1.72 (1.06-2.78)]. HYPO-broad (but not HYPO-strict) was associated with an increased risk of myocardial infarction (MI) [HR 1.56 (1.06-2.29)]. Empagliflozin improved CV outcomes, regardless of occurrence of hypoglycaemia (P-for interactions >0.05).
CONCLUSION: In this post hoc exploratory analysis, hypoglycaemia was associated with an increased risk of HHF and MI. Hypoglycaemia risk was not increased with empagliflozin and incident hypoglycaemia did not attenuate its cardio-protective effects.
© The Author(s) 2019. Published by Oxford University Press on behalf of the European Society of Cardiology.

Entities:  

Keywords:  Cardiovascular disease; Heart failure; Hospitalization; Hypoglycaemia; Mortality; Type 2 diabetes

Year:  2020        PMID: 31504427      PMCID: PMC6945517          DOI: 10.1093/eurheartj/ehz621

Source DB:  PubMed          Journal:  Eur Heart J        ISSN: 0195-668X            Impact factor:   29.983


Introduction

Hypoglycaemia is a common complication of diabetes treatment, which has been associated with an increased risk for vascular events and mortality, both in a clinical trial setting and in population studies. Individuals at higher risk include those with advanced disease characteristics, e.g. longstanding Type 2 diabetes (T2D), poor renal function, and on a polypharmaceutical treatment regimen, especially with sulphonylureas and/or insulin. Several potential mechanisms link acute hypoglycaemia with a deleterious impact on the cardiovascular (CV) system, including adrenergic activation, autonomic dysfunction, tachycardia, bradycardia, platelet aggregation, and hypokalaemia. These may increase arrhythmogenicity, promote a pro-thrombotic state, increase myocardial ischaemia, and/or have a detrimental haemodynamic effect., Hypoglycaemia is usually associated with increased risk of sudden death and acute vascular events, but less is known about any association between hypoglycaemia and heart failure (HF) events. However, some studies have linked insulin use with HF risk, conceivably through an increase in hypoglycaemia or sodium retention burden. Furthermore, hypoglycaemia has also been associated with prolonged hospitalizations,, and thus, the range of consequences associated with hypoglycaemia has a major impact on societal healthcare costs. In the EMPA-REG OUTCOME® trial, the sodium-glucose co-transporter-2 (SGLT2) inhibitor empagliflozin, a drug used in T2D to reduce glycated haemoglobin (HbA1c), did not increase the frequency of hypoglycaemic adverse events even when used in combination with insulin. The trial further showed that empagliflozin, in patients with T2D and CV disease, reduced major adverse CV events (MACE) by 14%, CV mortality by 38%, hospitalization for HF (HHF) by 35%, and the composite of CV mortality or HHF by 34%. Notably, this was the first time that a glucose-lowering agent had been shown to reduce adverse CV events in a large CV outcome trial in high-risk patients with T2D and established CV disease. The purposes of this post hoc analysis were to investigate the relationship between CV, mortality, and HHF outcomes with preceding hypoglycaemic events and to assess if hypoglycaemia impacted the cardioprotective effects of empagliflozin.

Methods

Study design

The study design of the EMPA-REG OUTCOME® trial (NCT01131676) has been previously described., In summary, the study included patients from 42 countries with T2D (with HbA1c 7.0–9.0% for drug-naïve patients and 7.0–10.0% for those on stable glucose-lowering therapy), established CV disease, and estimated glomerular filtration rate (eGFR) ≥30 mL/min/1.73 m2. Patients were randomized to empagliflozin 10 mg, empagliflozin 25 mg, or placebo once daily in addition to standard of care. Background glucose-lowering therapy was to remain unchanged for the first 12 weeks after randomization, although intensification was permitted if the patient had a confirmed fasting glucose level of more than 240 mg/dL and a dose reduction or discontinuation of background medication could occur in case of medical necessities. After Week 12 and throughout the trial adjustments of the glucose-lowering therapy was left at the discretion of the investigator according to local guidelines. Investigators were encouraged to monitor blood glucose and HbA1c, and use additional medication for glycaemic control (except SGLT-2 inhibitors) according to applicable standard of care throughout the trial, independent of study treatment assignment that remained masked.

Hypoglycaemic events—categories and definitions

Hypoglycaemic episodes during study follow-up were investigator-reported and for this analysis categorized as either HYPO-broad, defined as a symptomatic hypoglycaemic adverse event with plasma glucose (PG) ≤70 mg/dL, a hypoglycaemic adverse event with PG <54 mg/dL, or a severe hypoglycaemic adverse event; or HYPO-strict defined as a hypoglycaemic adverse event with PG <54 mg/dL, or a severe hypoglycaemic adverse event. A severe hypoglycaemic event was defined as requiring the assistance of another person to actively administer carbohydrate, glucagon, or other resuscitative actions.

Outcomes

The primary outcome of the EMPA REG OUTCOME trial and in the current study was time to first occurrence of 3P-MACE [three-point major adverse CV events; a composite of CV death, non-fatal myocardial infarction (MI), and non-fatal stroke]. Additional outcomes studied were CV death, fatal or non-fatal MI, fatal or non-fatal stroke, all-cause mortality, non-CV mortality, and HHF. Definition of HHF and other outcomes has been reported,, and all CV outcome events, HF hospitalizations, and CV deaths were prospectively adjudicated by blinded Clinical Events Committees.,

Statistical analysis

Based on the previously reported consistency of effect,, analyses were performed on the pooled empagliflozin dose groups vs. placebo. Baseline characteristics were reported as percentages for categorical variables and means and standard deviations for continuous variables. Time to first hypoglycaemic adverse event (for HYPO-broad and -strict) was analysed with a Cox proportional-hazards model, with study group, age, sex, baseline body mass index, baseline HbA1c level, baseline eGFR, and geographic region as factors. In addition, Kaplan–Meier estimates are presented. Data for patients who did not have an event were censored on the last day they were known to be free of the outcome. To investigate the relationship between hypoglycaemia and CV outcomes, any hypoglycaemic adverse events prior to a CV event, or respectively censoring for the CV event, were considered. Cox regression models were employed, adjusting for age, gender, baseline body mass index categories, baseline HbA1c categories, baseline eGFR categories, geographical region, treatment, a time-varying covariate for hypoglycaemic events and interaction of treatment, and a time-varying covariate for hypoglycaemic events. An extended Cox regression model also included terms for the following baseline covariates: prior coronary artery disease, prior peripheral artery disease, history of ischaemic/haemorrhagic stroke, baseline albuminuria, time since diagnosis of T2D, insulin at baseline, prior cardiac failure, smoking status at baseline, history of atrial fibrillation, and prior intake of sulfonylurea or glinide. In an attempt to characterize temporal relationship between hypoglycaemia and CV complications, we also defined analysis for HYPO-broad and -strict for CV-, mortality-, and HHF events occurring within a 90-day time-window following the hypoglycaemic event. All analyses were conducted following a modified intent-to-treat (ITT) approach in patients treated with at least one dose of study drug. Each patient who did not have an event was censored on the last day they were known to be free of the outcome. All analyses were performed on a nominal two-sided α = 0.05 without adjustment for multiplicity. Statistical analyses were performed using SAS® version 9.4.

Results

Study population and effects on glycated haemoglobin and hypoglycaemia

Over the 3.1 years median follow-up, hypoglycaemia rates were comparable between empagliflozin and placebo treatment groups. Out of 7020 participants, 1964 (28.0%), experienced an episode of HYPO-broad [empagliflozin 27.9%, incidence rate (IR) per 100 patient-years 12.3; placebo: 28.2%, IR 12.4; Figure ], whereas 1321 (18.8%) experienced an episode of HYPO-strict (empagliflozin 18.8%, IR 7.5; placebo 18.9%, IR 7.6, Supplementary material online, ). There was no difference between the treatment groups [hazard ratio (HR, 95% confidence interval, CI) 0.99 (0.91–1.09), P = 0.91, and HR 0.99 (0.88–1.11), P = 0.84, respectively]. This was despite a significant but modest reduction in HbA1c with empagliflozin [after 12 weeks adjusted mean differences (95% CI) vs. placebo in HbA1c were −0.54% (−0.58 to −0.49) with empagliflozin 10 mg and −0.60% (−0.64 to –0.55) with empagliflozin 25 mg; at Week 94, the adjusted mean differences vs. placebo in HbA1c were −0.42% (−0.48 to −0.36) and −0.47% (−0.54 to −0.41), respectively, and at Week 206, they were −0.24% (−0.40 to −0.08) and −0.36% (−0.51 to −0.20). Severe hypoglycaemia, analysed with the modified ITT approach, occurred in 1.8% (43/2333) in the placebo group (6.5 per 1000-patient years at risk) and 1.6% (73/4687) in the empagliflozin group (5.4 per 1000-patient years at risk), respectively, with no between-group differences. Time to first HYPO-broad: symptomatic hypoglycaemia adverse event with plasma glucose ≤70 mg/dL, or hypoglycaemia adverse event with plasma glucose <54 mg/dL, or severe hypoglycaemia adverse event. Hazard ratio from Cox regression model. Based on Kaplan–Meier estimates; hazard ratio based on a Cox proportional-hazards model, with study group, age, sex, baseline body mass index, baseline glycated haemoglobin level, baseline estimated glomerular filtration rate, and geographic region as factors. HR, hazard ratio. Insulin was used at baseline in 48.2% of patients and sulphonylurea in 42.8% and overall, introduction of post-baseline medication for glycaemic control was more frequent in the placebo group (e.g. sulphonylurea in 7.0% of the placebo group and 3.8% in the empagliflozin group) with also a greater use of insulin (11.5% placebo vs. 5.8% empagliflozin) and larger insulin doses at study end (Supplementary material online, ). Baseline characteristics of patients with and without hypoglycaemia as defined by HYPO-broad or HYPO-strict are provided in Table  and Supplementary material online, . Patients with episodes of hypoglycaemia, had a longer history of T2D, a higher prevalence of albuminuria and retinopathy, and more frequently received insulin (and at higher doses), statins, and angiotensin-converting enzyme inhibitors or angiotensin-receptor blockers. There were no differences in the pattern of baseline characteristics between the empagliflozin and placebo groups by hypoglycaemia identified using either criterion. Baseline characteristics of participants in EMPA-REG OUTCOME with and without HYPO-broad Data are expressed as n (%) and continuous parameters reported as mean (standard deviation) unless otherwise stated. Patients were treated with ≥1 dose of study drug; those with/without a hypoglycaemic AE were determined at the time of CV event/censoring (time at risk not considered). ACE, angiotensin-converting enzyme; AE, adverse event; ARB, angiotensin-receptor blocker; BMI, body mass index; CV, cardiovascular; DBP, diastolic blood pressure; eGFR, estimated glomerular filtration rate; HbA1c, glycated haemoglobin; HYPO-broad, any symptomatic hypoglycaemic AE with PG ≤70 mg/dL, a hypoglycaemic AE with PG <54 mg/dL, or a severe hypoglycaemic AE (requiring assistance regardless of PG level); IQR, interquartile range; MDRD, modification of diet in renal disease; MI, myocardial infarction; PG, plasma glucose; SBP, systolic blood pressure; UACR, urine albumin-to-creatinine ratio.

Relationship between hypoglycaemia and cardiovascular, mortality, and heart failure hospitalization outcomes in the placebo group

Of all participants with a first 3P-MACE event in the placebo group [n = 282 (12.1%)], 69 had a preceding HYPO-broad event to the subsequent 3P-MACE, whereas 213 had 3P-MACE with no preceding hypoglycaemic event (Figure ). Correspondingly, HYPO-strict preceded 3P-MACE in 41 subjects and there were 241 that had a first 3P-MACE without preceding HYPO-strict (Figure ). There was no statistically significant increased risk associated with occurrence of 3P-MACE with preceding hypoglycaemia regardless of classification (HYPO-broad or HYPO-strict) [HR vs. no HYPO-broad: 1.18 (0.90–1.55), P = 0.24; HR vs. no HYPO-strict: 1.03 (0.74–1.44), P = 0.87]. Similar neutral association was observed for stroke and all mortality outcomes. However, preceding hypoglycaemia was associated with an increased risk of HHF using both the HYPO-broad [HR 1.91 (1.25–2.93); P = 0.003] (Figure ) and HYPO-strict [HR 1.72 (1.06–2.78); P = 0.028] (Figure ) definitions, as well as an increased risk of fatal and non-fatal MI using the HYPO-broad definition [HR 1.56 (1.06–2.29); P = 0.024] (Figure ), but not using the HYPO-strict definition (Figure ). Using the extended model that included additional baseline covariates, the increased risk for HHF in the placebo group using the HYPO-broad definition [HR 1.72 (1.11–2.66); P = 0.015] remained, whereas others associations were attenuated [e.g. HR for preceding HYPO-broad vs. no HYPO-broad for MI 1.45 (0.98–2.15), P = 0.06; Supplementary material online, ]. (A) Relationship between occurrence vs. non-occurrence of HYPO-broad and outcomes in the placebo group of EMPA-REG OUTCOME. (B) Relationship between occurrence vs. non-occurrence of HYPO-strict and outcomes in the placebo group of EMPA-REG OUTCOME. Based on a Cox regression model with terms for age, sex, baseline body mass index categories, baseline HbA1c categories, baseline estimated glomerular filtration rate categories, geographical region, treatment, time-varying covariate of HYPO-broad or HYPO-strict, interaction of treatment, and time-varying covariate of HYPO-broad or HYPO-strict. Patients were treated with ≥1 dose of study drug; only for presentation of patient numbers, those with/without HYPO-broad or HYPO-strict were determined at the time of CV event/censoring. *P value for interaction. 3P-MACE, three-point major adverse cardiovascular event (CV death, non-fatal MI, or non-fatal stroke); AE, adverse event; BMI, body mass index; CV, cardiovascular; eGFR, estimated glomerular filtration rate; HbA1c, glycated haemoglobin; HHF, hospitalization for heart failure; HYPO-broad: time to first symptomatic hypoglycaemic AE with PG ≤70 mg/dL, any hypoglycaemic AE with PG <54 mg/dL, or a severe hypoglycaemic AE (requiring assistance regardless of PG level); HYPO-strict, any hypoglycaemic AE with PG <54 mg/dL, or a severe hypoglycaemic AE (requiring assistance regardless of PG level); MI, myocardial infarction; PG, plasma glucose. The temporal relationship analysis was limited by few number of hypoglycaemic events followed by an outcome event within 90 days which precluded robust outcome-association analysis, but generally the pattern remained as observed in the primary analysis, e.g. HR for preceding HYPO-broad for HHF 1.71 (0.96–3.04), P = 0.07 and HR for preceding HYPO-strict for MI 1.91 (1.02–3.57), P = 0.04 (Supplementary material online, ).

Empagliflozin treatment effects on cardiovascular, mortality, and heart failure hospitalization outcomes by occurrence of hypoglycaemia

There were no differences in proportion of individuals that experienced hypoglycaemia (HYPO-broad or HYPO-strict) between the treatment groups. Empagliflozin treatment, however, significantly reduced 3P-MACE, CV death, all-cause mortality, and HHF, all consistent with the previously reported magnitude of effects,, regardless of the occurrence or severity of the hypoglycaemia (P-values for all interactions >0.05) (Figure ). (A) Effect of empagliflozin on outcomes in the total population and by occurrence of HYPO-broad in EMPA-REG OUTCOME. (B) Effect of empagliflozin on outcomes in the total population and by occurrence of HYPO-strict in EMPA-REG OUTCOME. Based on a Cox regression model with terms for age, sex, baseline body mass index categories, baseline glycated haemoglobin categories, baseline estimated glomerular filtration rate categories, geographical region, treatment, time-varying covariate of HYPO-broad or HYPO-strict, interaction of treatment, and time-varying covariate of HYPO-broad or HYPO-strict. Patients were treated with ≥1 dose of study drug; only for presentation of patient numbers, those with/without HYPO-broad or HYPO-strict were determined at the time of cardiovascular event/censoring. *P value for interaction. 3P-MACE, three-point major adverse cardiovascular event (CV death, non-fatal MI, or non-fatal stroke); AE, adverse event; BMI, body mass index; CV, cardiovascular; eGFR, estimated glomerular filtration rate; HbA1c, glycated haemoglobin; HHF, hospitalization for heart failure; HYPO-broad, time to first symptomatic hypoglycaemic AE with PG ≤70 mg/dL, any hypoglycaemic AE with PG <54 mg/dL, or a severe hypoglycaemic AE (requiring assistance regardless of PG level); MI, myocardial infarction; PG, plasma glucose. The key observations of this article. Upper panel: relationship between occurrence vs. non-occurrence of hypoglycaemia and select outcomes in the placebo group of EMPA-REG OUTCOME. Lower panel: Effect of empagliflozin on select outcomes in the total population and by occurrence of hypoglycaemia in EMPA-REG OUTCOME. Hypoglycaemia defined as symptomatic hypoglycaemia with plasma glucose ≤70 mg/dL, any hypoglycaemia with PG <54 mg/dL, or severe hypoglycaemia.

Discussion

In this post hoc analysis and exploratory analysis from the EMPA-REG OUTCOME trial, hypoglycaemia was associated with an increased risk of MI and HHF but no other investigated CV outcomes. Furthermore, hypoglycaemia risk was not increased with empagliflozin and incident hypoglycaemia did not attenuate its cardio-protective effects. The observation of a positive association between preceding hypoglycaemia and CV events (e.g. MACE and mortality) has been observed in population-based studies, and previous other CV outcome trials involving subjects with T2D and CV disease,, although not in all trials. Also, previous reports mainly found an association with severe hypoglycaemia but not non-severe combined with severe hypoglycaemia, which is at variance with the current results, which used a more moderate hypoglycaemia definition. The magnitude of association of effect in our trial for MI, with an HR of 1.56 (1.06–2.29) for the broader hypoglycaemia classification, was, however, far less than, for example, the HR 3.53 (2.41–5.17) that was observed in ADVANCE for mortality. These differences may be attributed to different populations and distinct treatment regimens and approaches tested in the two trials. Since EMPA-REG OUTCOME was not a trial to test intensive glycaemic strategies, together with the inherent low risk of hypoglycaemia with SGLT-2 inhibitors, as also confirmed in CV outcomes trials completed to date, we observed few severe episodes of hypoglycaemia. Consequently, although we could not assess any association between preceding severe hypoglycaemia and CV outcome-events, it is possible the results would have differed in a population more susceptible to hypoglycaemia. Another important consideration that has been debated intensively is whether there is any causality between hypoglycaemia and outcomes events, or whether hypoglycaemia is merely a marker of frailty and high risk.,, Recent studies suggest that there is a temporal association between hypoglycaemia and outcomes with the highest risk of CV events and all-cause mortality occurring early (e.g. during the first weeks and months following a severe hypoglycaemic episode) and that these risks decline during the following months, yet remain higher also in long-term follow-up., Owing to the limited number of hypoglycaemic events, the present trial cannot provide robust support for or against this hypothesis. A novel observation from this analysis that needs further confirmation is the increased risk for HHF associated with preceding hypoglycaemia (). It is possible, as suggested by others, that acute hypoglycaemia might have a deleterious impact on an already vulnerable myocardium (as a result of autonomic activation, electrophysiological alterations, haemodynamic changes, and/or effects via the coagulation system).,, However, another possibility is that greater use of insulin and at higher doses in the placebo group over time could be playing a role. Insulin treatment is known to induce weight gain, sodium, and fluid retention, all associated with deleterious vascular effects and in some HF trials, is associated with worse outcomes. While insulin treatment may just be a marker of severity of disease (i.e. confounder by indication), there exist some mechanistic data to suggest that insulin may adversely affect myocardial contractility mediated by β2-adrenergic receptor activation pathways. Although our expanded analysis that included an adjustment for insulin use at baseline confirmed an association of increased risk of hypoglycaemia with HHF, we did not adjust for the insulin-dose increase in the placebo group over time: this remains to be further explored. Another area for further research in CV outcome trials not analysed in the present study, given the observation of an association between preceding hypoglycaemia and MI risk, is to test the clinical hypothesis whether it could be an association between hypoglycaemia and coronary revascularization procedures, as shown in registry studies. The observation of a consistent benefit of empagliflozin on CV, mortality, and HHF outcomes regardless of occurrence of hypoglycaemia is reassuring and is consistent with several other subanalyses., The present post hoc analysis, confirms its treatment effect on reducing CV mortality and HHF before and after occurrence of hypoglycaemia. These efficacy and safety findings are supportive of the European Society of Cardiology (ESC) HF guideline and other diabetes treatment algorithms,, suggesting that empagliflozin should be considered in patients with T2D and CV disease. These data also support the treatment algorithm of European Association for the Study of Diabetes (EASD)/American Diabetes Association (ADA) consensus recommendation for choice of therapies even outside of the context of patients with established CV disease, when there is a compelling need to avoid hypoglycaemia, as well as the ESC/EASD clinical practice guidelines that underscores that attention should be paid to avoidance of hypoglycaemia whilst achieving glycaemic goals in an individualized manner. In conclusion, in this exploratory post hoc analysis, hypoglycaemia was associated with an increased risk of HHF and MI but no other outcomes. Hypoglycaemia risk was not increased with empagliflozin and incident hypoglycaemia did not attenuate its cardio-protective effects. Click here for additional data file.
Table 1

Baseline characteristics of participants in EMPA-REG OUTCOME with and without HYPO-broad

Participants with HYPO-broad
Participants without HYPO-broad
Empagliflozin (n = 1307)Placebo (n = 657)Empagliflozin (n = 3380)Placebo (n = 1676)
Age (years)63.5 (8.5)63.8 (8.3)63.0 (8.6)63.0 (9.0)
Male922 (70.5)462 (70.3)2414 (71.4)1218 (72.7)
eGFR, MDRD (mL/min/1.73 m2)71.7 (21.7)69.2 (20.7)75.1 (21.5)75.6 (20.9)
 30 to <60391 (29.9)234 (35.6)800 (23.7)367 (21.9)
 <306 (0.5)4 (0.6)15 (0.4)2 (0.1)
UACR (mg/g), median (IQR)21.2 (7.1–90.2)22.5 (8.0–109.2)16.8 (6.2–64.5)16.8 (6.2–62.8)
UACR (mg/g)
 <30728 (55.7)357 (54.3)2061 (61.0)1025 (61.2)
 30–300392 (30.0)198 (30.1)946 (28.0)477 (28.5)
 >300168 (12.9)97 (14.8)341 (10.1)163 (9.7)
 Missing19 (1.5)5 (0.8)32 (0.9)11 (0.7)
HbA1c (%)8.1 (0.8)8.1 (0.8)8.1 (0.9)8.1 (0.9)
Diabetes duration (years)
 ≤19 (0.7)7 (1.1)119 (3.5)45 (2.7)
 >1 to 584 (6.4)38 (5.8)628 (18.6)333 (19.9)
 >5 to 10254 (19.4)115 (17.5)921 (27.2)456 (27.2)
 >10960 (73.5)497 (75.6)1712 (50.7)842 (50.2)
BMI (kg/m2)30.7 (5.4)30.6 (5.0)30.6 (5.2)30.7 (5.3)
SBP/DBP (mmHg)137 (18)/75 (10)136 (19)/75 (11)135 (17)/77 (10)136 (17)/77 (10)
Background medications
 Insulin969 (74.1)483 (73.5)1283 (38.0)652 (38.9)
  Daily insulin dose69.4 (49.7)71.2 (57.2)62.4 (47.2)60.3 (44.6)
 Metformin929 (71.1)452 (68.8)2530 (74.9)1282 (76.5)
 Sulfonylurea496 (37.9)232 (35.3)1518 (44.9)760 (45.3)
 Any antihypertensives1249 (95.6)620 (94.4)3198 (94.6)1602 (95.6)
  ACE inhibitor/ARB1087 (83.2)537 (81.7)2712 (80.2)1331 (79.4)
 Statins1070 (81.9)532 (81.0)2560 (75.7)1241 (74.0)
Pre-existing conditions
 Prior stroke258 (19.7)138 (21.0)826 (24.4)415 (24.8)
 Prior MI572 (43.8)291 (44.3)1618 (47.9)792 (47.3)
 Heart failure116 (8.9)70 (10.7)346 (10.2)174 (10.4)
 Retinopathy403 (30.8)221 (33.6)620 (18.3)302 (18.0)

Data are expressed as n (%) and continuous parameters reported as mean (standard deviation) unless otherwise stated. Patients were treated with ≥1 dose of study drug; those with/without a hypoglycaemic AE were determined at the time of CV event/censoring (time at risk not considered).

ACE, angiotensin-converting enzyme; AE, adverse event; ARB, angiotensin-receptor blocker; BMI, body mass index; CV, cardiovascular; DBP, diastolic blood pressure; eGFR, estimated glomerular filtration rate; HbA1c, glycated haemoglobin; HYPO-broad, any symptomatic hypoglycaemic AE with PG ≤70 mg/dL, a hypoglycaemic AE with PG <54 mg/dL, or a severe hypoglycaemic AE (requiring assistance regardless of PG level); IQR, interquartile range; MDRD, modification of diet in renal disease; MI, myocardial infarction; PG, plasma glucose; SBP, systolic blood pressure; UACR, urine albumin-to-creatinine ratio.

  32 in total

1.  Severe hypoglycemia and risks of vascular events and death.

Authors:  Sophia Zoungas; Anushka Patel; John Chalmers; Bastiaan E de Galan; Qiang Li; Laurent Billot; Mark Woodward; Toshiharu Ninomiya; Bruce Neal; Stephen MacMahon; Diederick E Grobbee; Andre Pascal Kengne; Michel Marre; Simon Heller
Journal:  N Engl J Med       Date:  2010-10-07       Impact factor: 91.245

Review 2.  Hypoglycaemia, cardiovascular disease, and mortality in diabetes: epidemiology, pathogenesis, and management.

Authors: 
Journal:  Lancet Diabetes Endocrinol       Date:  2019-03-27       Impact factor: 32.069

3.  Empagliflozin, Cardiovascular Outcomes, and Mortality in Type 2 Diabetes.

Authors:  Bernard Zinman; Christoph Wanner; John M Lachin; David Fitchett; Erich Bluhmki; Stefan Hantel; Michaela Mattheus; Theresa Devins; Odd Erik Johansen; Hans J Woerle; Uli C Broedl; Silvio E Inzucchi
Journal:  N Engl J Med       Date:  2015-09-17       Impact factor: 91.245

4.  The renal response to exogenous insulin in non-insulin-dependent diabetes mellitus in relation to blood pressure and cardiovascular hormonal status.

Authors:  R O Gans; H J Bilo; A J Donker
Journal:  Nephrol Dial Transplant       Date:  1996-05       Impact factor: 5.992

Review 5.  The proarrhythmic effect of hypoglycemia: evidence for increased risk from ischemia and bradycardia.

Authors:  Charles Nordin
Journal:  Acta Diabetol       Date:  2013-11-09       Impact factor: 4.280

6.  2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC)Developed with the special contribution of the Heart Failure Association (HFA) of the ESC.

Authors:  Piotr Ponikowski; Adriaan A Voors; Stefan D Anker; Héctor Bueno; John G F Cleland; Andrew J S Coats; Volkmar Falk; José Ramón González-Juanatey; Veli-Pekka Harjola; Ewa A Jankowska; Mariell Jessup; Cecilia Linde; Petros Nihoyannopoulos; John T Parissis; Burkert Pieske; Jillian P Riley; Giuseppe M C Rosano; Luis M Ruilope; Frank Ruschitzka; Frans H Rutten; Peter van der Meer
Journal:  Eur Heart J       Date:  2016-05-20       Impact factor: 29.983

Review 7.  Hypoglycemia and cardiovascular risks.

Authors:  Brian M Frier; Guntram Schernthaner; Simon R Heller
Journal:  Diabetes Care       Date:  2011-05       Impact factor: 19.112

8.  Relationship of glycated haemoglobin and reported hypoglycaemia to cardiovascular outcomes in patients with type 2 diabetes and recent acute coronary syndrome events: The EXAMINE trial.

Authors:  Simon R Heller; Richard M Bergenstal; William B White; Stuart Kupfer; George L Bakris; William C Cushman; Cyrus R Mehta; Steven E Nissen; Craig A Wilson; Faiez Zannad; Yuyin Liu; Noah M Gourlie; Christopher P Cannon
Journal:  Diabetes Obes Metab       Date:  2017-02-27       Impact factor: 6.577

9.  The association between symptomatic, severe hypoglycaemia and mortality in type 2 diabetes: retrospective epidemiological analysis of the ACCORD study.

Authors:  Denise E Bonds; Michael E Miller; Richard M Bergenstal; John B Buse; Robert P Byington; Jeff A Cutler; R James Dudl; Faramarz Ismail-Beigi; Angela R Kimel; Byron Hoogwerf; Karen R Horowitz; Peter J Savage; Elizabeth R Seaquist; Debra L Simmons; William I Sivitz; Joann M Speril-Hillen; Mary Ellen Sweeney
Journal:  BMJ       Date:  2010-01-08

10.  Association of clinical symptomatic hypoglycemia with cardiovascular events and total mortality in type 2 diabetes: a nationwide population-based study.

Authors:  Pai-Feng Hsu; Shih-Hsien Sung; Hao-Min Cheng; Jong-Shiuan Yeh; Wen-Ling Liu; Wan-Leong Chan; Chen-Huan Chen; Pesus Chou; Shao-Yuan Chuang
Journal:  Diabetes Care       Date:  2012-12-05       Impact factor: 19.112

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  12 in total

Review 1.  Physiological Mechanisms of Hypertension and Cardiovascular Disease in End-Stage Kidney Disease.

Authors:  John S Clemmer; Tariq Shafi; Yoshitsugu Obi
Journal:  Curr Hypertens Rep       Date:  2022-06-16       Impact factor: 4.592

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

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

Review 3.  Decision Algorithm for Prescribing SGLT2 Inhibitors and GLP-1 Receptor Agonists for Diabetic Kidney Disease.

Authors:  Jiahua Li; Oltjon Albajrami; Min Zhuo; Chelsea E Hawley; Julie M Paik
Journal:  Clin J Am Soc Nephrol       Date:  2020-06-09       Impact factor: 8.237

4.  Effect of linagliptin, a dipeptidyl peptidase-4 inhibitor, compared with the sulfonylurea glimepiride on cardiovascular outcomes in Asians with type 2 diabetes: subgroup analysis of the randomized CAROLINA® trial.

Authors:  Takashi Kadowaki; Guang Wang; Julio Rosenstock; Daisuke Yabe; Yongde Peng; Keizo Kanasaki; Yiming Mu; Michaela Mattheus; Annett Keller; Tomoo Okamura; Odd Erik Johansen; Nikolaus Marx
Journal:  Diabetol Int       Date:  2020-06-27

5.  Direct Cardiac Actions of the Sodium Glucose Co-Transporter 2 Inhibitor Empagliflozin Improve Myocardial Oxidative Phosphorylation and Attenuate Pressure-Overload Heart Failure.

Authors:  Xuan Li; Qingguo Lu; Yunguang Qiu; Jussara M do Carmo; Zhen Wang; Alexandre A da Silva; Alan Mouton; Ana C M Omoto; Michael E Hall; Ji Li; John E Hall
Journal:  J Am Heart Assoc       Date:  2021-03-13       Impact factor: 5.501

6.  Heart failure with insulin degludec versus glargine U100 in patients with type 2 diabetes at high risk of cardiovascular disease: DEVOTE 14.

Authors:  Richard E Pratley; Mansoor Husain; Ildiko Lingvay; Thomas R Pieber; Thomas Mark; Hans A Saevereid; Daniel Vega Møller; Bernard Zinman
Journal:  Cardiovasc Diabetol       Date:  2019-11-15       Impact factor: 9.951

7.  Severe hypoglycaemia and absolute risk of cause-specific mortality in individuals with type 2 diabetes: a UK primary care observational study.

Authors:  Francesco Zaccardi; Suping Ling; Claire Lawson; Melanie J Davies; Kamlesh Khunti
Journal:  Diabetologia       Date:  2020-07-30       Impact factor: 10.122

8.  Cardiovascular outcomes and safety with linagliptin, a dipeptidyl peptidase-4 inhibitor, compared with the sulphonylurea glimepiride in older people with type 2 diabetes: A subgroup analysis of the randomized CAROLINA trial.

Authors:  Mark A Espeland; Richard E Pratley; Julio Rosenstock; Takashi Kadowaki; Yutaka Seino; Bernard Zinman; Nikolaus Marx; Darren K McGuire; Knut Robert Andersen; Michaela Mattheus; Annett Keller; Maria Weber; Odd Erik Johansen
Journal:  Diabetes Obes Metab       Date:  2020-12-06       Impact factor: 6.577

9.  Cardiovascular Benefit of Empagliflozin Across the Spectrum of Cardiovascular Risk Factor Control in the EMPA-REG OUTCOME Trial.

Authors:  Silvio E Inzucchi; Kamlesh Khunti; David H Fitchett; Christoph Wanner; Michaela Mattheus; Jyothis T George; Anne Pernille Ofstad; Bernard Zinman
Journal:  J Clin Endocrinol Metab       Date:  2020-09-01       Impact factor: 5.958

10.  Empagliflozin reduced long-term HbA1c variability and cardiovascular death: insights from the EMPA-REG OUTCOME trial.

Authors:  Antonio Ceriello; Anne Pernille Ofstad; Isabella Zwiener; Stefan Kaspers; Jyothis George; Antonio Nicolucci
Journal:  Cardiovasc Diabetol       Date:  2020-10-13       Impact factor: 9.951

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