Literature DB >> 32537887

Secondary analyses to assess the profound effects of empagliflozin on endothelial function in patients with type 2 diabetes and established cardiovascular diseases: The placebo-controlled double-blind randomized effect of empagliflozin on endothelial function in cardiovascular high risk diabetes mellitus: Multi-center placebo-controlled double-blind randomized trial.

Atsushi Tanaka1, Michio Shimabukuro2, Noritaka Machii2, Hiroki Teragawa3, Yosuke Okada4, Kosuke R Shima5, Toshinari Takamura5, Isao Taguchi6, Itaru Hisauchi6, Shigeru Toyoda7, Yasushi Matsuzawa8, Hirofumi Tomiyama9, Minako Yamaoka-Tojo10, Shinichiro Ueda11, Yukihito Higashi12, Koichi Node1.   

Abstract

AIMS/
INTRODUCTION: Recent clinical trials on sodium-glucose cotransporter 2 inhibitors showed improved outcomes in patients with type 2 diabetes at a high risk of cardiovascular events. However, the underlying effects on endothelial function remain unclear.
MATERIALS AND METHODS: The effect of empagliflozin on endothelial function in cardiovascular high risk diabetes mellitus: Multi-center placebo-controlled double-blind randomized (EMBLEM) trial in patients with type 2 diabetes and cardiovascular disease showed empagliflozin treatment for 24 weeks had no effect on peripheral endothelial function measured by reactive hyperemia peripheral arterial tonometry. This post-hoc analysis of the EMBLEM trial included a detailed evaluation of the effects of empagliflozin on peripheral endothelial function in order to elucidate the clinical characteristics of responders or non-responders to treatment.
RESULTS: Of the 47 patients randomized into the empagliflozin group, 21 (44.7%) showed an increase in the reactive hyperemia index (RHI) after 24 weeks of intervention, with no apparent difference in the clinical characteristics between patients whose RHI either increased (at least >0) or did not increase. There was also no obvious difference between the treatment groups in the proportion of patients who had a clinically meaningful change (≥15%) in log-transformed RHI. No correlation was found between changes in RHI and clinical variables, such as vital signs and laboratory parameters.
CONCLUSIONS: Treatment with empagliflozin for 24 weeks in patients with type 2 diabetes and cardiovascular disease did not affect peripheral endothelial function, and was not related to changes in clinical variables, including glycemic parameters. These findings suggest that the actions of sodium-glucose cotransporter 2 inhibitors other than direct improvement in peripheral endothelial function were responsible, at least in the early phase, for the clinical benefits found in recent cardiovascular outcome trials.
© 2020 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  Cardiovascular disease; Empagliflozin; Endothelial function

Mesh:

Substances:

Year:  2020        PMID: 32537887      PMCID: PMC7610132          DOI: 10.1111/jdi.13289

Source DB:  PubMed          Journal:  J Diabetes Investig        ISSN: 2040-1116            Impact factor:   4.232


Introduction

Sodium–glucose cotransporter 2 (SGLT2) inhibitors are expected to have favorable effects on multifaceted cardiovascular pathways through hemodynamic and metabolic modulations beyond the known glucose‐lowering action of these agents , , . For example, in the Empagliflozin Cardiovascular Outcome Event Trial in Type 2 Diabetes Mellitus Patients–Removing Excess Glucose (EMPA‐REG OUTCOME), empagliflozin markedly reduced the risk of composite cardiovascular outcomes, heart failure hospitalization and mortality in patients with type 2 diabetes at a high risk of developing cardiovascular disease (CVD) . Subsequent cardiovascular outcome trials also showed that SGLT2 inhibitors consistently improved cardiovascular outcomes, especially heart failure‐ and kidney‐related outcomes , , . These results suggested that the hemodynamic actions of SGLT2 inhibitors are the predominant factor reducing the risk of these two outcomes, compared with the metabolic and anti‐atherogenic actions of the agent. However, the precise and definitive mechanisms by which SGLT2 inhibitors improved those outcomes, and their clinical effects on vascular function have yet to be fully elucidated. The recent effect of empagliflozin on endothelial function in cardiovascular high risk diabetes mellitus: Multi‐center placebo‐controlled double‐blind randomized (EMBLEM) trial investigated whether empagliflozin added to standard therapy improved peripheral endothelial function in patients with type 2 diabetes and established CVDs, and showed that 24 weeks of treatment did not affect endothelial function compared with placebo . However, the study did not include a detailed evaluation of responders and non‐responders to empagliflozin therapy. To better understand the profound effects of empagliflozin on endothelial function, we carried out a secondary and exploratory analysis using data obtained from the EMBLEM trial. The present also reports the effects of empagliflozin on other clinical parameters and safety information obtained from the EMBLEM trial.

Methods

Trial design and patients

The EMBLEM trial (UMIN000024502) was an investigator‐initiated, prospective, multicenter, placebo‐controlled, double‐blinded, randomized trial undertaken in 16 centers in Japan. The current secondary study was an exploratory post‐hoc analysis of data obtained from that trial . The original rationale and protocol of the trial have been reported previously , and the full list of inclusion criteria and exclusion criteria is described in Data S1. In brief, eligible participants included those with type 2 diabetes, glycated hemoglobin (HbA1c) between 6.0 and 10.0%, taking stable glucose‐lowering medications for at least 1 month before providing consent, and a history of established CVD, including heart failure with the exception of New York Heart Association functional classification IV, coronary artery disease, stroke, peripheral artery disease or the presence of coronary artery stenosis (≥50%), as detected by imaging modalities. The trial was approved by the institutional review boards of the individual sites, in compliance with the Declaration of Helsinki and the current legal regulations in Japan. The participants received an adequate explanation of the trial before they provided written informed consent.

Randomization and masking

All participants who met the criteria for enrollment were assigned randomly (1:1) in a double‐blind manner to treatment with either empagliflozin or placebo, using the Web‐based minimization dynamic allocation method stratified according to HbA1c (<7.0 or ≥7.0%), age (<65 years or ≥65 years), systolic blood pressure (<140 mmHg or ≥140 mmHg) and current smoking habit (smoker or non‐smoker) at the time of screening . After randomization, all researchers involved with various aspects of the trial remained masked to the group assignments until after database lock.

Outcome measures

The original primary outcome in the EMBLEM trial was the change from baseline to 24 weeks in the reactive hyperemia index (RHI), measured by reactive hyperemia‐peripheral arterial tonometry (RH‐PAT) . The secondary efficacy end‐points were changes from baseline to 24 weeks in the following parameters: augmentation index, standard deviation of the normal‐to‐normal intervals, ratio of low to high frequency evaluated simultaneously and automatically by RH‐PAT, and standard laboratory data including glycemic, lipid and renal parameters. In the present post‐hoc analyses, we compared the baseline clinical characteristics of patients whose RHI increased (>0) or did not increase (≤0) during the 24 weeks of treatment. In addition, post‐hoc responder analyses were carried out to investigate the proportion of patients who had a clinically meaningful change in log‐transformed RHI (≥15%) from baseline to 24 weeks , . To assess the change in plasma volume associated with empagliflozin treatment, estimated plasma volume (ePV) was calculated by the Strauss formula . No other clinical parameters were added to the secondary analyses.

RH‐PAT analyses

Peripheral endothelial function was measured by RH‐PAT using the Endo‐PAT2000 device (Itamar Medical, Caesarea, Israel). The detailed principles and measurement procedures of RH‐PAT have been described previously , , . In brief, the RH‐PAT measurements were carried out in the morning at baseline and at 24 weeks, according to the manufacturer’s instructions. The measurements were carried out while the participant was in a fasted state and before them taking their medications for the test day. After at least 15 min of rest on a bed in the supine position, the baseline pulse amplitude was recorded from each fingertip for 6 min. The cuff was then inflated to 60 mmHg above systolic blood pressure or 200 mmHg for 5 min. After cuff deflation, the pulse amplitude was recorded for 5 min.

Safety

Throughout the trial, safety information was collected for the intention‐to‐treat population by recording serious adverse events (AEs) regardless of the causal relationship to the trial drugs and protocol. Predefined AEs of special interest, such as hepatic injury, decreased kidney function, metabolic acidosis, ketoacidosis, diabetic ketoacidosis and events involving lower limb amputation, were also collected (Data S2) .

Statistical analysis

The planned statistical analyses have been described previously . All the analyses were carried out on the full analysis set, which included all participants who had received at least one dose of treatment after randomization and who did not have any serious violation of the protocol (e.g., not providing informed consent). In the original primary analysis, the means and 95% confidence intervals (CIs) were estimated by analysis of covariance adjusted for the allocation factors at randomization. The summary statistics were expressed as the mean ± standard deviation for continuous variables, or number (%) for categorical variables. Intergroup differences were compared using t‐tests for continuous variables, or Fisher’s exact test for categorical variables. The proportion of patients who had clinically meaningful changes was compared between the treatment groups using the Wilcoxon rank‐sum test. The correlation between the changes in RHI and each measurement was evaluated using Pearson’s correlation coefficient. All P‐values were two‐tailed, with values <0.05 considered to be statistically significant. No adjustment for multiplicity was carried out for the efficacy end‐points. All statistical analyses were carried out using SAS software version 9.4 (SAS Institute, Cary, NC, USA).

Results

Baseline characteristics of patients

A total of 119 patients were screened, of whom 117 were randomized (Figure 1). Six patients in the empagliflozin group and four patients in the placebo group dropped out before receiving the study drug, whereas two patients in the placebo group were excluded due to a serious protocol violation. Finally, 105 patients were included in the full analysis set (52 in the empagliflozin group and 53 in the placebo group).
Figure 1

Flow chart of the study.

Flow chart of the study. The baseline demographics and clinical characteristics were comparable between the two treatment groups (Table 1). The mean age of the participants was 64.9 ± 10.4 years, and the mean type 2 diabetes duration was 13.2 ± 10.9 years. The mean body mass index (BMI) at baseline was 26.4 ± 5.3 kg/m2, whereas the blood pressure of the patients was relatively well controlled (systolic 133.2 ± 15.0 mmHg, diastolic 75.7 ± 10.5 mmHg). The mean HbA1c at baseline was 7.2% (55 mmol/mol), with a large proportion of the patients having taken a dipeptidyl peptidase‐4 inhibitor and metformin. All patients had at least one established cardiovascular or cerebrovascular disease, and almost all had been receiving medications for hypertension and dyslipidemia.
Table 1

Baseline characteristics of the patients

VariablesEmpagliflozin (n = 52)Placebo (n = 53)
Age (years)65.4 ± 11.164.1 ± 9.9
Women16 (30.8)17 (32.1)
Systolic blood pressure (mmHg)132.8 ± 15.2133.0 ± 14.5
Diastolic blood pressure (mmHg)76.4 ± 11.574.9 ± 9.5
Heart rate (b.p.m.)73.8 ± 13.371.9 ± 9.8
Body mass index (kg/m2)26.2 ± 5.126.9 ± 5.5
HbA1c, % (mmol/mol)7.2 ± 0.8 (55 ± 9)7.2 ± 0.9 (55 ± 10)
Diabetes duration (years)13.6 ± 13.213.0 ± 8.3
eGFR (mL/min/1.73 m2)67.0 ± 12.569.2 ± 13.9
eGFR <60 mL/min/1.73 m2 15 (28.8)14 (26.4)
Current smoking9 (17.3)13 (24.5)
History
Hypertension41 (78.8)36 (67.9)
Dyslipidemia39 (75.0)38 (71.7)
Cerebrovascular disease6 (11.5)15 (28.3)
Cardiovascular disease50 (96.2)44 (83.0)
Heart failure23 (44.2)19 (35.8)
Myocardial infarction12 (23.1)13 (24.5)
Angina21 (40.4)11 (20.8)
Arteriosclerosis obliterans6 (11.5)1 (1.9)
Treatment
Non‐diabetic
ACE inhibitor or ARB31 (59.6)38 (71.7)
Beta‐blocker19 (36.5)19 (35.8)
Calcium channel blocker26 (50.0)25 (47.2)
MRA9 (17.3)5 (9.4)
Diuretic8 (15.4)10 (18.9)
Statin43 (82.7)36 (67.9)
Antiplatelet or anticoagulant30 (57.7)34 (64.2)
Diabetes
Insulin5 (9.6)5 (9.4)
Metformin25 (48.1)28 (52.8)
Sulfonylurea8 (15.4)12 (22.6)
Alpha‐glucosidase inhibitor8 (15.4)8 (15.1)
Thiazolidinedione12 (23.1)13 (24.5)
DPP‐4 inhibitor37 (71.2)36 (67.9)
GLP‐1RA3 (5.8)2 (3.8)

Data are expressed as mean ± standard deviation or n (%). ACE, angiotensin‐converting enzyme; ARB, angiotensin receptor blocker; CABG, coronary artery bypass grafting; DPP‐4, dipeptidyl peptidase‐4; eGFR, estimated glomerular filtration rate; GLP‐1RA, glucagon‐like peptide‐1 receptor agonist; MRA, mineralocorticoid receptor antagonist.

Baseline characteristics of the patients Data are expressed as mean ± standard deviation or n (%). ACE, angiotensin‐converting enzyme; ARB, angiotensin receptor blocker; CABG, coronary artery bypass grafting; DPP‐4, dipeptidyl peptidase‐4; eGFR, estimated glomerular filtration rate; GLP‐1RA, glucagon‐like peptide‐1 receptor agonist; MRA, mineralocorticoid receptor antagonist.

Detailed effect of empagliflozin on endothelial function

As reported previously , the absolute change in RHI from baseline to 24 weeks was −0.006 ± 0.478 (empagliflozin) and −0.025 ± 0.454 (placebo), with no significant intergroup difference observed (−0.020, 95% CI −0.199 to 0.158, P = 0.821). Endothelial function assessed by dividing the patients into subgroups according to their baseline RHI values (1.67 or 2.10) to discriminate normal or abnormal endothelial function showed no significant difference in changes in RHI caused by treatment in the two subgroups (Table 2).
Table 2

Subgroup analyses of the primary endpoint, grouped according to baseline reactive hyperemia peripheral arterial tonometry index categories

Subgroup stratified by baseline RHI valuesEmpagliflozinPlaceboGroup difference95% CI P‐value P‐value for interaction
n Mean change in RHI95% CI n Mean change in RHI95% CI
<1.67190.117−0.057 to 0.292190.075−0.064 to 0.2140.042−0.173 to 0.2580.6940.916
≥1.67, <2.10150.109−0.070 to 0.287200.111−0.121 to 0.342−0.002−0.300 to 0.2970.990
≥2.1013−0.319−0.706 to 0.06812−0.411−0.668 to − 0.1540.092−0.356 to 0.5390.676

RHI, reactive hyperemia peripheral arterial tonometry index.

Subgroup analyses of the primary endpoint, grouped according to baseline reactive hyperemia peripheral arterial tonometry index categories RHI, reactive hyperemia peripheral arterial tonometry index. In patients with RHI data at both baseline and 24 weeks (empagliflozin‐arm n = 47, placebo‐arm n = 51), 21 patients (44.7%) receiving empagliflozin and 24 patients (47.1%) receiving placebo showed increases in RHI after 24 weeks of intervention, whereas the RHI in the remaining patients either remained unchanged or decreased. When the participants were divided into subgroups based on an increase (>0) in RHI or not (≤0) after 24 weeks of intervention, no significant difference in baseline clinical manifestations was observed between the two subgroups for either treatment (Table 3). Furthermore, a ≥15% increase in log‐transformed RHI was seen in 16 patients (34.0%) in the empagliflozin group and 16 patients (31.4%) in the placebo group, with no obvious difference in the proportion of responders or non‐responders between the two treatment groups (Figure 2).
Table 3

Clinical characteristics of the patients, stratified according to the change in reactive hyperemia peripheral arterial tonometry index from baseline to 24 weeks

VariablesEmpagliflozinPlacebo
RHI increase (n = 21)No increase (n = 26) P‐valueRHI increase (n = 24)No increase (n = 27) P‐value
Age (years)65.4 ± 11.365.3 ± 11.30.99262.7 ± 7.465.0 ± 11.90.413
Sex
Female4 (19.0)11 (42.3)0.1218 (33.3)8 (29.6)1.000
Male17 (81.0)15 (57.7)16 (66.7)19 (70.4)
Systolic blood pressure (mmHg)135.0 ± 14.8131.8 ± 16.10.498133.9 ± 12.8130.3 ± 14.40.350
Diastolic blood pressure (mmHg)77.8 ± 10.176.3 ± 12.10.67078.8 ± 6.671.3 ± 10.70.005
Heart rate (b.p.m.)75.6 ± 12.772.5 ± 14.30.43371.6 ± 11.371.6 ± 8.80.999
Body mass index (kg/m2)26.6 ± 3.726.2 ± 6.20.77028.3 ± 6.625.9 ± 4.20.128
HbA1c, % (mmol/mol)6.9 ± 0.8 (52 ± 9)7.3 ± 0.7 (56 ± 8)0.0887.4 ± 1.1 (57 ± 12)7.1 ± 0.7 (54 ± 8)0.212
Diabetes duration (years)12.5 ± 11.314.9 ± 15.30.57911.7 ± 7.714.6 ± 9.00.280
eGFR (mL/min/1.73 m2)67.3 ± 11.165.7 ± 13.70.66970.1 ± 9.668.2 ± 17.30.629
eGFR <60 mL/min/1.73 m2
Yes5 (23.8)9 (34.6)0.5354 (16.7)10 (37.0)0.127
No15 (71.4)17 (65.4)20 (83.3)17 (63.0)
Current smoking
Yes3 (14.3)4 (15.4)1.0005 (20.8)8 (29.6)0.534
No18 (85.7)22 (84.6)19 (79.2)19 (70.4)
History
Hypertension
Yes18 (85.7)20 (76.9)0.71119 (79.2)15 (55.6)0.136
No3 (14.3)6 (23.1)5 (20.8)12 (44.4)
Dyslipidemia
Yes17 (81.0)17 (65.4)0.33018 (75.0)18 (66.7)0.554
No4 (19.0)9 (34.6)6 (25.0)9 (33.3)
Cerebrovascular disease
Yes2 (9.5)3 (11.5)1.0008 (33.3)6 (22.2)0.531
No19 (90.5)23 (88.5)16 (66.7)21 (77.8)
Cardiovascular disease
Yes20 (95.2)25 (96.2)1.0007 (29.2)2 (7.4)0.066
No1 (4.8)1 (3.8)17 (70.8)25 (92.6)
Heart failure
Yes7 (33.3)14 (53.8)0.23914 (58.3)18 (66.7)0.575
No14 (66.7)12 (46.2)10 (41.7)9 (33.3)
Myocardial infarction
Yes3 (14.3)7 (26.9)0.4754 (16.7)8 (29.6)0.335
No18 (85.7)19 (73.1)20 (83.3)19 (70.4)
Angina
Yes9 (42.9)9 (34.6)0.7635 (20.8)4 (14.8)0.718
No12 (57.1)17 (65.4)19 (79.2)23 (85.2)
Arteriosclerosis obliterans
Yes2 (9.5)2 (7.7)1.00024 (100.0)26 (96.3)1.000
No19 (90.5)24 (92.3)01 (3.7)
Treatment
Non‐diabetic
ACE inhibitor or ARB
Yes14 (66.7)14 (53.8)0.55116 (66.7)20 (74.1)0.759
No7 (33.3)12 (46.2)8 (33.3)7 (25.9)
Beta‐blocker
Yes8 (38.1)8 (30.8)0.75810 (41.7)8 (29.6)0.396
No13 (61.9)18 (69.2)14 (58.3)19 (70.4)
Calcium channel blocker
Yes11 (52.4)15 (57.7)0.77411 (45.8)17 (63.0)0.267
No10 (47.6)11 (42.3)13 (54.2)10 (37.0)
MRA
Yes2 (9.5)6 (23.1)0.26922 (91.7)24 (88.9)1.000
No19 (90.5)20 (76.9)2 (8.3)3 (11.1)
Diuretic
Yes3 (14.3)4 (15.4)1.00020 (83.3)21 (77.8)0.731
No18 (85.7)22 (84.6)4 (16.7)6 (22.2)
Statin
Yes18 (85.7)21 (80.8)0.71517 (70.8)17 (63.0)0.767
No3 (14.3)5 (19.2)7 (29.2)10 (37.0)
Antiplatelet or anticoagulant
Yes12 (57.1)14 (53.8)1.00014 (58.3)18 (66.7)0.575
No9 (42.9)12 (46.2)10 (41.7)9 (33.3)
Diabetic
Insulin
Yes2 (9.5)2 (7.7)1.0003 (12.5)2 (7.4)0.656
No19 (90.5)24 (92.3)21 (87.5)25 (92.6)
Metformin
Yes10 (47.6)14 (53.8)0.77213 (54.2)14 (51.9)1.000
No11 (52.4)12 (46.2)11 (45.8)13 (48.1)
Sulfonylurea
Yes4 (19.0)3 (11.5)0.6846 (25.0)6 (22.2)1.000
No17 (81.0)23 (88.5)18 (75.0)21 (77.8)
Alpha‐glucosidase inhibitor
Yes2 (9.5)6 (23.1)0.2694 (16.7)4 (14.8)1.000
No19 (90.5)20 (76.9)20 (83.3)23 (85.2)
Thiazolidinedione
Yes6 (28.6)5 (19.2)0.5056 (25.0)6 (22.2)1.000
No15 (71.4)21 (80.8)18 (75.0)21 (77.8)
DPP‐4 inhibitor
Yes14 (66.7)19 (73.1)0.75215 (62.5)19 (70.4)0.569
No7 (33.3)7 (26.9)9 (37.5)8 (29.6)
GLP‐1RA
Yes2 (9.5)1 (3.8)0.5792 (8.3)00.216
No19 (90.5)25 (96.2)22 (91.7)27 (100.0)

Data are mean ± standard deviation or n (%). ACE, angiotensin‐converting enzyme; ARB, angiotensin receptor blocker; DPP‐4, dipeptidyl peptidase‐4; eGFR, estimated glomerular filtration rate; GLP‐1RA, glucagon‐like peptide‐1 receptor agonist; HbA1c, glycated hemoglobin; MRA, mineralocorticoid receptor antagonist; RHI, reactive hyperemia peripheral arterial tonometry index.

Figure 2

Proportion of patients who had a deterioration (decrease ≥15%), remained unchanged or an improvement (increase ≥15%) in log‐transformed RHI (LnRHI). The numbers on the bars indicate the proportion (%) of patients in each category.

Clinical characteristics of the patients, stratified according to the change in reactive hyperemia peripheral arterial tonometry index from baseline to 24 weeks Data are mean ± standard deviation or n (%). ACE, angiotensin‐converting enzyme; ARB, angiotensin receptor blocker; DPP‐4, dipeptidyl peptidase‐4; eGFR, estimated glomerular filtration rate; GLP‐1RA, glucagon‐like peptide‐1 receptor agonist; HbA1c, glycated hemoglobin; MRA, mineralocorticoid receptor antagonist; RHI, reactive hyperemia peripheral arterial tonometry index. Proportion of patients who had a deterioration (decrease ≥15%), remained unchanged or an improvement (increase ≥15%) in log‐transformed RHI (LnRHI). The numbers on the bars indicate the proportion (%) of patients in each category.

Effects on other parameters

The detailed changes in the clinical and laboratory parameters from baseline to 24 weeks and intergroup comparisons are shown in Table 4. The 24 weeks of empagliflozin treatment reduced both systolic and diastolic blood pressure, with a borderline difference between the treatment groups. However, we observed no significant difference in heart rate or double product between the two groups. Reductions in BMI, fasting plasma glucose, HbA1c and glycoalbumin in the empagliflozin group were significantly greater than those in the placebo group. Empagliflozin also increased serum total ketone bodies, hemoglobin and hematocrit levels, and decreased the serum levels of triglyceride and uric acid. In addition, 24 weeks of empagliflozin treatment significantly reduced ePV to a greater extent than that observed with placebo (Figure 3). No apparent differences in renal biomarkers were observed between the two treatment groups. Empagliflozin treatment also did not impact augmentation index, standard deviation of the normal‐to‐normal intervals or ratio of low to high frequency measured concurrently by RH‐PAT (Table S1). Finally, we found no significant correlation between changes in RHI and the clinical and laboratory parameters measured over a period of 24 weeks (Table S2).
Table 4

Changes in glycemic and non‐glycemic data from baseline to 24 weeks

VariablesEmpagliflozinPlaceboGroup difference (95% CI) P‐value
n mean ± SD n mean ± SD
Systolic blood pressure (mmHg)
Baseline52132.81 ± 15.2053133.02 ± 14.52−0.21 (−5.97 to 5.54)0.942
24 weeks50124.92 ± 14.3952130.60 ± 13.52−5.68 (−11.16 to − 0.19)0.043
Change from baseline to 24 weeks50−7.56 ± 16.5352−2.13 ± 12.11−5.43 (−11.14 to 0.29)0.063
Diastolic blood pressure (mmHg)
Baseline5276.38 ± 11.525374.94 ± 9.531.44 (−2.66 to 5.54)0.487
24 weeks5072.64 ± 9.165274.71 ± 11.26−2.07 (−6.10 to 1.95)0.310
Change from baseline to 24 weeks50−3.70 ± 8.6652−0.17 ± 9.92−3.53 (−7.18 to 0.13)0.058
Heart rate (b.p.m.)
Baseline5273.85 ± 13.305371.90 ± 9.841.94 (−2.59 to 6.47)0.397
24 weeks5074.18 ± 16.125170.92 ± 10.203.26 (−2.05 to 8.57)0.227
Change from baseline to 24 weeks500.52 ± 15.4051−0.65 ± 8.381.17 (−3.72 to 6.06)0.637
Double product (systolic blood pressure × heart rate)
Baseline529,820 ± 2,117539,601 ± 1,854219 (−552 to 990)0.574
24 weeks509,221 ± 1,975519,286 ± 1,778−64 (−807 to 678)0.864
Change from baseline to 24 weeks50−549 ± 2,33151−245 ± 1,223−304 (−1,044 to 437)0.416
Body mass index (kg/m2)
Baseline5126.17 ± 5.105226.94 ± 5.47−0.76 (−2.83 to 1.30)0.465
24 weeks5025.68 ± 4.945226.71 ± 5.45−1.03 (−3.07 to 1.01)0.320
Change from baseline to 24 weeks49−0.75 ± 0.9751−0.17 ± 0.80−0.58 (−0.93 to − 0.23)0.002
Fasting plasma glucose (mg/dL)
Baseline50141.44 ± 24.9552146.44 ± 34.79−5.00 (−16.87 to 6.87)0.405
24 weeks47127.79 ± 25.2651145.53 ± 42.66−17.74 (−31.70 to − 3.78)0.013
Change from baseline to 24 weeks46−17.93 ± 21.9651−0.80 ± 37.63−17.13 (−29.43 to − 4.83)0.007
HbA1c, % (mmol/mol)
Baseline527.2 ± 0.8 (55 ± 9)527.2 ± 0.9 (55 ± 10)−0.04 (−0.37 to 0.29)0.819
24 weeks486.9 ± 0.6 (52 ± 7)527.3 ± 0.9 (56 ± 10)−0.35 (−0.65 to − 0.05)0.023
Change from baseline to 24 weeks48−0.25 ± 0.49520.07 ± 0.71−0.32 (−0.56 to − 0.07)0.011
Glycoalbumin (%)
Baseline5118.14 ± 3.075018.48 ± 3.35−0.34 (−1.61 to 0.92)0.591
24 weeks4816.79 ± 2.845118.38 ± 3.41−1.59 (−2.84 to − 0.35)0.013
Change from baseline to 24 weeks47−1.37 ± 1.78490.14 ± 2.14−1.51 (−2.31 to − 0.72)<0.001
Total ketone bodies (μmoL/L)
Baseline4665.36 ± 58.265186.16 ± 119.27−20.80 (−58.22 to 16.63)0.272
24 weeks4599.60 ± 99.835083.10 ± 119.6716.50 (−28.26 to 61.25)0.466
Change from baseline to 24 weeks4333.93 ± 85.4850−4.40 ± 68.4338.34 (6.03 to 70.65)0.021
Hemoglobin (g/dL)
Baseline5113.96 ± 1.595313.73 ± 1.460.23 (−0.36 to 0.82)0.443
24 weeks4914.54 ± 1.605213.83 ± 1.340.71 (0.12 to 1.29)0.018
Change from baseline to 24 weeks480.58 ± 0.98520.12 ± 0.710.46 (0.12 to 0.80)0.009
Hematocrit (%)
Baseline5141.58 ± 4.565341.33 ± 4.150.25 (−1.45 to 1.95)0.774
24 weeks4943.58 ± 4.805241.72 ± 3.751.86 (0.15 to 3.57)0.033
Change from baseline to 24 weeks482.05 ± 3.59520.38 ± 2.451.68 (0.44 to 2.91)0.008
Non‐high‐density lipoprotein cholesterol (mg/dL)
Baseline48113.79 ± 32.9952111.40 ± 24.492.39 (−9.23 to 14.01)0.684
24 weeks47114.55 ± 29.4252114.91 ± 30.30−0.36 (−12.28 to 11.56)0.953
Change from baseline to 24 weeks45−3.20 ± 19.99523.51 ± 18.28−6.71 (−14.48 to 1.06)0.090
Triglyceride (mg/dL)
Baseline51141.00 ± 107.4952107.62 ± 56.3833.38 (−0.40 to 67.17)0.053
24 weeks48116.65 ± 65.9852111.62 ± 48.815.03 (−18.20 to 28.26)0.668
Change from baseline to 24 weeks47−27.57 ± 93.14524.00 ± 39.54−31.57 (−60.87 to − 2.28)0.035
Uric acid (mg/dL)
Baseline505.72 ± 1.36525.32 ± 1.080.40 (−0.09 to 0.89)0.105
24 weeks485.03 ± 1.31525.48 ± 1.40−0.46 (−0.99 to 0.08)0.096
Change from baseline to 24 weeks46−0.61 ± 0.84520.16 ± 1.09−0.77 (−1.16 to − 0.39)<0.001
eGFR (mL/min/1.73 m2)
Baseline5167.02 ± 12.505369.23 ± 13.94−2.22 (−7.36 to 2.93)0.395
24 weeks4965.34 ± 14.005268.71 ± 15.26−3.37 (−9.15 to 2.41)0.250
Change from baseline to 24 weeks48−1.75 ± 6.7252−0.31 ± 6.92−1.45 (−4.15 to 1.26)0.292
Urinary albumin‐creatinine ratio (mg/g Cre)
Baseline4765.16 ± 116.674846.70 ± 79.9718.46 (−22.45 to 59.37)0.372
24 weeks4479.22 ± 234.974831.57 ± 37.3747.65 (−24.51 to 119.82)0.190
Change from baseline to 24 weeks41−24.63 ± 88.5246−16.61 ± 59.80−8.02 (−40.73 to 24.69)0.626
Urinary L‐FABP (μg/g Cre)
Baseline419.20 ± 18.68437.24 ± 20.981.96 (−6.66 to 10.57)0.653
24 weeks406.07 ± 6.55434.37 ± 4.861.70 (−0.84 to 4.24)0.186
Baseline38−3.29 ± 14.9241−3.23 ± 19.12−0.06 (−7.72 to 7.60)0.988

eGFR, estimated glomerular filtration ratio; L‐FABP, liver‐type fatty acid‐binding protein.

Figure 3

Changes in estimated plasma volume. Percentage changes in estimated plasma volume between baseline and 24 weeks, calculated by the Strauss formula. CI, confidence interval; SD, standard deviation.

Changes in glycemic and non‐glycemic data from baseline to 24 weeks eGFR, estimated glomerular filtration ratio; L‐FABP, liver‐type fatty acid‐binding protein. Changes in estimated plasma volume. Percentage changes in estimated plasma volume between baseline and 24 weeks, calculated by the Strauss formula. CI, confidence interval; SD, standard deviation. The AEs documented during the trial period are summarized in Table S3. Empagliflozin was well tolerated, and no predefined AEs of special interest (lower limb amputation, decreased kidney function, hepatic injury or metabolic acidosis) were documented in the empagliflozin group. There were seven serious AEs in three patients in the empagliflozin group, and a serious AE in one patient in the placebo group. In the empagliflozin group, one patient permanently discontinued the study drug as a result of the development of hyperglycemia, hypoglycemia and ventricular tachycardia, whereas another patient temporarily discontinued treatment due to neurally mediated syncope and a urinary tract infection. In the placebo group, one patient permanently discontinued treatment as a result of predefined AEs of special interest (hepatic injury). Although development of a non‐fatal stroke was reported in one patient in the empagliflozin group, it proved to be asymptomatic and an old‐type infarction accidentally shown by imaging modality 110 days after initiation of the study drug.

Discussion

The current detailed secondary analyses used data from the EMBLEM trial in Japanese patients with type 2 diabetes and established CVD, and showed no obvious effects of empagliflozin on endothelial function and no apparent differences in the clinical characteristics between participants with or without an improvement in peripheral endothelial function. These results support the findings of recent cardiovascular outcome trials that the reduction in the risk of cardiovascular events observed with SGLT2 inhibitors might, in the short‐term at least, be mediated to a lesser extent by amelioration of endothelial function. Endothelial function maintains vascular homeostasis and is degraded by metabolic disturbances, such as diabetes, as a result of increased oxidative stress and inflammatory responses , . Impaired endothelial function (i.e., endothelial dysfunction) is involved in the pathophysiology of diabetes‐related cardiovascular complications, including heart failure . There is evidence that endothelial dysfunction is the primary step in the development of vascular atherosclerosis, and that it also plays a major role in the progression of vascular injuries , . In addition, endothelial dysfunction is closely related to cardiovascular events and poor prognosis , , , with persistent dysfunction known to be associated with an increased risk of mortality . Therefore, when considering the possible modes of action of SGLT2 inhibitors on cardiovascular systems and the mechanisms underlying their clinical benefits, it is necessary to evaluate the effects on endothelial function as a surrogate marker. SGLT2 inhibitors have proven multidisciplinary benefits on systemic metabolism, and cardiovascular and renal systems over and above their glucose‐lowering action , . Before the initiation of our trial, it was reasonable to assume that SGLT2 inhibitors possessed these multifaceted effects that could improve endothelial function in patients with type 2 diabetes, even those at high risk of CVD. However, in our trial, empagliflozin did not affect endothelial function and other physiological parameters, including heart rate variability (HRV). To date, just a few studies have investigated the effect of SGLT2 inhibitors on HRV. In 2014, Cherney et al. reported that 8 weeks of empagliflozin treatment did not affect HRV in patients with type 1 diabetes, being consistent with the present finding. To better understand that effect, a placebo‐controlled double‐blind trial (the EMBODY trial) that will evaluate the effect of empagliflozin on HRV, including time and frequency domain analyses, in patients with type 2 diabetes and acute myocardial infarction is now ongoing . In addition, in the current study, we found no clear difference in clinical parameters between patients whose endothelial functional index increased and in those in whom the index did not, with no correlation between changes in the index and clinical parameters. Furthermore, the present study observed no association between changes in peripheral endothelial function and other laboratory parameters that could potentially be beneficially affected by empagliflozin treatment, such as a decrease in bodyweight and blood pressure, and an increase in hemoglobin and hematocrit levels. These findings suggest that empagliflozin treatment for 24 weeks had fewer direct effects on vascular function, at least in patients with type 2 diabetes and established CVD. Impaired endothelial function and increased arterial stiffness are central physiological drivers of vascular failure , , and studies of these vascular parameters as surrogate markers can be used to evaluate the vascular effects of new therapies. Although various interventions, including medications, have been assessed to determine whether or not they improve vascular function , this possibility with SGLT2 inhibitors is poorly understood. To date, some clinical trials have shown that SGLT2 inhibitors improve vascular function in patients with diabetes. Shigiyama et al. reported that 16 weeks of treatment with the SGLT2 inhibitor, dapagliflozin, in patients with a short‐duration of type 2 diabetes and no history of atherosclerotic CVD improved endothelial function measured by flow‐mediated vasodilation compared with that associated with an increased dose of metformin. This effect was only seen in a subgroup with uncontrolled type 2 diabetes, despite no apparent difference between the treatment groups. Solini et al. also reported that 2 days of treatment with dapagliflozin acutely improved endothelial function and reduced aortic stiffness in type 2 diabetes patients at low risk of cardiovascular events. Importantly, the settings and design of that study differed from our trial, and therefore might have contributed to the interstudy differences in the results observed. Several clinical studies have also shown that empagliflozin treatment has beneficial impacts on some markers of vascular function in patients with type 2 diabetes at a relatively low cardiovascular risk and also younger patients with type 1 diabetes , , , . Those studies suggested that improved vascular function was likely to be associated with empagliflozin‐mediated glycemic and non‐glycemic actions, such as weight loss and volume contraction. This empagliflozin‐induced reduction in ePV was comparable to that reported by previous studies of SGLT2 inhibitors , . However, a direct effect of the agent on vascular function remains to be fully elucidated. Our trial of 24‐week treatment with empagliflozin showed that endothelial function was not affected during this time period, despite the presence of several glycemic and non‐glycemic benefits. Given the differences in design between the present study and other studies, it is likely that population bias might have, in part, influenced the findings of the present study. In addition, the intervention period in the present study might have been too short to cause favorable effects on endothelial function in the study population who possibly had advanced vascular injuries due partly to a long duration of type 2 diabetes and the presence of established CVD. In the EMPA‐REG OUTCOME trial, empagliflozin markedly reduced the risk of hospitalization for HF, although it did not affect the occurrence of atherosclerotic cardiovascular events . In particular, we noted that the risk reduction in hospitalization for HF was observed within 6 months of starting empagliflozin therapy. Given such a rapid effect of HF prevention, we consider that hemodynamic actions and subsequent reduction in cardiac pre‐ and after‐load derived from the natriuretic effect of SGLT2 inhibitors are more dominant during the early phase of treatment compared with the effect on vascular function and atherosclerosis , , . In addition, unfortunately we did not investigate the effect of empagliflozin on mechanistic factors, such as oxidative stress and inflammation, major factors that are known to contribute to the development of endothelial dysfunction and subsequent atherosclerosis . Because our trial showed no obvious effect of empagliflozin on peripheral endothelial function assessed by RH‐PAT, it is likely that empagliflozin also had no direct effect on those mechanistic factors, at least in the present study. Meanwhile, empagliflozin appeared to affect several hemodynamic parameters, such as BMI, ePV and hemoconcentration, compared with that observed with placebo. These findings might explain our finding that 24 weeks of treatment with empagliflozin failed to improve endothelial function. Nevertheless, a recent meta‐analysis of cardiovascular outcome trials with SGLT2 inhibitors clearly showed that these agents significantly reduced the risk of major cardiac events, including cardiovascular death and hospitalization for heart failure . Therefore, the use of SGLT2 inhibitors is now recommended in several relevant guidelines to reduce cardiovascular risk , , . In this regard, whether a longer period of SGLT2 inhibitor treatment has clinically apparent benefits on vascular function and atherosclerosis needs to be examined in greater detail. The present study had several limitations in addition to those reported for the EMBLEM trial . First, this secondary analysis might have been influenced by the post‐randomization nature of the post‐hoc analyses and the smaller number of participants. Second, although we sought to test our hypothesis in type 2 diabetes patients at high risk of cardiovascular events, similar to the EMPA‐REG OUTCOME trial, the demographic and clinical characteristics of our study group differed in several aspects from that trial. In comparison, our population had lower levels of BMI and HbA1c at baseline, and a lower prevalence of background atherosclerotic CVDs. Importantly, we only enrolled Japanese patients, and therefore, the findings of the present study might only be applicable to this population. Third, because the RH‐PAT test was measured only after 24 weeks of treatment, the shorter‐term effect that reflects SGLT2 inhibitor‐specific early hemodynamic consequences remains unclear. In addition, the long‐term effect of empagliflozin on peripheral endothelial function was not investigated. Finally, although the RH‐PAT test was non‐invasive and has no operator‐dependent influences, the measurements can be partly affected by individual conditions, intravascular volume and surroundings of the test room. Although we used a standardized operation manual for RH‐PAT to minimize these influences and standardize testing accuracy at each local site , further improvement in the control of accuracy might be required to carry out multicenter clinical trials using this procedure. In conclusion, the detailed evaluations carried out in the present study confirmed that 24 weeks of empagliflozin treatment in patients with type 2 diabetes and established CVD did not affect peripheral endothelial function. The present results might, therefore, confirm and emphasize the main result of the EMBLEM trial .

Disclosure

AT received modest honoraria from Astellas, AstraZeneca, Bayer, Boehringer Ingelheim, Daiichi Sankyo, Fukuda Denshi, Kowa, Merck, Mitsubishi Tanabe, Novo Nordisk, Taisho Toyama, Takeda and Teijin; and a research grant from GlaxoSmithKline. MS received honorarium and an endowed chair from Boehringer Ingelheim. HT received lecture fees from Bayer, Boehringer Ingelheim, Daiichi Sankyo, Kowa, Takeda, Mitsubishi Tanabe and Sanwa Kagaku Kenkyusho. YO received lecture fees from Astellas, AstraZeneca, MSD, Ono, Mitsubishi Tanabe, Bayer, Novo Nordisk, Eli Lilly, Boehringer Ingelheim, Daiichi Sankyo, Kissei, Novartis, Kowa and Sanwa Kagaku Kenkyusho; and research funds from Kowa and Mitsubishi Tanabe. TT received honoraria from MSD, Astellas, AstraZeneca, Mitsubishi Tanabe, Boehringer Ingelheim, Novo Nordisk and Taisho Toyama; research funding from Kowa; and scholarships from Novartis, AstraZeneca, Astellas and Novo Nordisk. MY‐T received honoraria from Bayer, Mitsubishi Tanabe, Itamar, MSD, Nippon Shinyaku, Boehringer Ingelheim and Daiichi Sankyo. SU received research grants from Bristol‐Myers Squibb and Kowa; non‐purpose research grants from Bristol‐Myers Squibb, Chugai, MSD, Pfizer and Takeda; and lecture fees from Boehringer Ingelheim and MSD. YH received consulting fees from Mitsubishi Tanabe related to this study, as well as honoraria and grants from Teijin, Boehringer Ingelheim, MSD, Sanofi, AstraZeneca, Kyowa Hakko Kirin, Takeda, Astellas, Daiichi Sankyo, Mochida, Nihon Kohden, Shionogi, Nippon Sigmax, Sanwa Kagaku Kenkyusho, Unex and Kao; and honoraria from Radiometer, Omron, Sumitomo Dainippon, Otsuka, Torii, Kowa, Fujiyakuhin, Amgen, Nippon Shinyaku, Itamar, Bayer, Eli Lilly and Ono. KN received honoraria from Eli Lilly, Astellas, Ono, Takeda, Daiichi Sankyo, Boehringer Ingelheim, MSD, Mitsubishi Tanabe, AstraZeneca; research grants from Amgen, Teijin, Terumo, Mitsubishi Tanabe, Asahi Kasei, Astellas, Boehringer Ingelheim and Bayer; and scholarships from Bayer, Daiichi Sankyo, Teijin, Astellas, Takeda and Bristol‐Myers Squibb. The other authors declare no conflict of interest. Data S1 | Inclusion and exclusion criteria for the study. Data S2 | Adverse events of special interest (AESI). Table S1 | Changes in other parameters co‐measured by reactive hyperemia‐peripheral arterial tonometry (RH‐PAT). Table S2 | Correlation between changes from baseline to 24 weeks in reactive hyperemia index (RHI) and the other parameters measured. Table S3 | Adverse events. Click here for additional data file.
  40 in total

Review 1.  Atherosclerosis--an inflammatory disease.

Authors:  R Ross
Journal:  N Engl J Med       Date:  1999-01-14       Impact factor: 91.245

2.  Prognostic impact of coronary vasodilator dysfunction on adverse long-term outcome of coronary heart disease.

Authors:  V Schächinger; M B Britten; A M Zeiher
Journal:  Circulation       Date:  2000-04-25       Impact factor: 29.690

3.  Dapagliflozin and Cardiovascular Outcomes in Type 2 Diabetes.

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

Review 4.  2019 ESC Guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD.

Authors:  Francesco Cosentino; Peter J Grant; Victor Aboyans; Clifford J Bailey; Antonio Ceriello; Victoria Delgado; Massimo Federici; Gerasimos Filippatos; Diederick E Grobbee; Tina Birgitte Hansen; Heikki V Huikuri; Isabelle Johansson; Peter Jüni; Maddalena Lettino; Nikolaus Marx; Linda G Mellbin; Carl J Östgren; Bianca Rocca; Marco Roffi; Naveed Sattar; Petar M Seferović; Miguel Sousa-Uva; Paul Valensi; David C Wheeler
Journal:  Eur Heart J       Date:  2020-01-07       Impact factor: 29.983

5.  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

Review 6.  Conundrum of pathogenesis of diabetic cardiomyopathy: role of vascular endothelial dysfunction, reactive oxygen species, and mitochondria.

Authors:  Mandip Joshi; Sainath R Kotha; Smitha Malireddy; Vaithinathan Selvaraju; Abhay R Satoskar; Alexender Palesty; David W McFadden; Narasimham L Parinandi; Nilanjana Maulik
Journal:  Mol Cell Biochem       Date:  2013-12-04       Impact factor: 3.396

Review 7.  SGLT-2 inhibitors and cardiovascular risk: proposed pathways and review of ongoing outcome trials.

Authors:  Silvio E Inzucchi; Bernard Zinman; Christoph Wanner; Roberto Ferrari; David Fitchett; Stefan Hantel; Rosa-Maria Espadero; Hans-Jürgen Woerle; Uli C Broedl; Odd Erik Johansen
Journal:  Diab Vasc Dis Res       Date:  2015-01-14       Impact factor: 3.291

8.  Effect of Empagliflozin Versus Placebo on Cardiac Sympathetic Activity in Acute Myocardial Infarction Patients with Type 2 Diabetes Mellitus: Rationale.

Authors:  Yoshiaki Kubota; Takeshi Yamamoto; Shuhei Tara; Yukichi Tokita; Kenji Yodogawa; Yuki Iwasaki; Hitoshi Takano; Yayoi Tsukada; Kuniya Asai; Masaaki Miyamoto; Yasushi Miyauchi; Eitaro Kodani; Naoki Sato; Jun Tanabe; Wataru Shimizu
Journal:  Diabetes Ther       Date:  2018-08-10       Impact factor: 2.945

9.  Effects of the sodium-glucose co-transporter-2 inhibitor dapagliflozin on estimated plasma volume in patients with type 2 diabetes.

Authors:  Claire C J Dekkers; C David Sjöström; Peter J Greasley; Valerie Cain; David W Boulton; Hiddo J L Heerspink
Journal:  Diabetes Obes Metab       Date:  2019-09-17       Impact factor: 6.577

10.  The SGLT2 Inhibitor Dapagliflozin Significantly Improves the Peripheral Microvascular Endothelial Function in Patients with Uncontrolled Type 2 Diabetes Mellitus.

Authors:  Seigo Sugiyama; Hideaki Jinnouchi; Noboru Kurinami; Kunio Hieshima; Akira Yoshida; Katsunori Jinnouchi; Hiroyuki Nishimura; Tomoko Suzuki; Fumio Miyamoto; Keizo Kajiwara; Tomio Jinnouchi
Journal:  Intern Med       Date:  2018-03-30       Impact factor: 1.271

View more
  7 in total

Review 1.  The current role of sodium-glucose cotransporter 2 inhibitors in type 2 diabetes mellitus management.

Authors:  Bo Xu; Shaoqian Li; Bo Kang; Jiecan Zhou
Journal:  Cardiovasc Diabetol       Date:  2022-05-25       Impact factor: 8.949

2.  Relationship Between SGLT-2i and Ocular Diseases in Patients With Type 2 Diabetes Mellitus: A Meta-Analysis of Randomized Controlled Trials.

Authors:  Bin Zhou; Yetan Shi; Rongrong Fu; Haixiang Ni; Lihu Gu; Yuexiu Si; Mengting Zhang; Ke Jiang; Jingyi Shen; Xiangyuan Li; Xing Sun
Journal:  Front Endocrinol (Lausanne)       Date:  2022-05-26       Impact factor: 6.055

3.  Dipeptidyl peptidase-4 inhibitors, glucagon-like peptide 1 receptor agonists and sodium-glucose co-transporter-2 inhibitors for people with cardiovascular disease: a network meta-analysis.

Authors:  Takayoshi Kanie; Atsushi Mizuno; Yoshimitsu Takaoka; Takahiro Suzuki; Daisuke Yoneoka; Yuri Nishikawa; Wilson Wai San Tam; Jakub Morze; Andrzej Rynkiewicz; Yiqiao Xin; Olivia Wu; Rui Providencia; Joey Sw Kwong
Journal:  Cochrane Database Syst Rev       Date:  2021-10-25

4.  Coronary Microvascular Vasodilatory Function: Related Clinical Features and Differences According to the Different Coronary Arteries and Types of Coronary Spasm.

Authors:  Hiroki Teragawa; Chikage Oshita; Yuko Uchimura; Ryota Akazawa; Yuichi Orita
Journal:  J Clin Med       Date:  2021-12-27       Impact factor: 4.241

5.  Reduction of estimated fluid volumes following initiation of empagliflozin in patients with type 2 diabetes and cardiovascular disease: a secondary analysis of the placebo-controlled, randomized EMBLEM trial.

Authors:  Atsushi Tanaka; Michio Shimabukuro; Hiroki Teragawa; Yosuke Okada; Toshinari Takamura; Isao Taguchi; Shigeru Toyoda; Hirofumi Tomiyama; Shinichiro Ueda; Yukihito Higashi; Koichi Node
Journal:  Cardiovasc Diabetol       Date:  2021-06-28       Impact factor: 9.951

Review 6.  Skeletal Muscle Microvascular Dysfunction in Obesity-Related Insulin Resistance: Pathophysiological Mechanisms and Therapeutic Perspectives.

Authors:  Chiedozie Kenneth Ugwoke; Erika Cvetko; Nejc Umek
Journal:  Int J Mol Sci       Date:  2022-01-13       Impact factor: 5.923

7.  Comparison of the clinical effect of empagliflozin on glycemic and non-glycemic parameters in Japanese patients with type 2 diabetes and cardiovascular disease treated with or without baseline metformin.

Authors:  Atsushi Tanaka; Michio Shimabukuro; Hiroki Teragawa; Yosuke Okada; Toshinari Takamura; Isao Taguchi; Shigeru Toyoda; Hirofumi Tomiyama; Shinichiro Ueda; Yukihito Higashi; Koichi Node
Journal:  Cardiovasc Diabetol       Date:  2021-07-31       Impact factor: 9.951

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.