Literature DB >> 25332819

Endothelial function and left ventricular diastolic functional reserve in type 2 diabetes mellitus.

Melissa Leung1, Victoria Phan1, Dominic Y Leung1.   

Abstract

BACKGROUND: Endothelial dysfunction is an early feature of vascular disease. Left ventricular (LV) diastolic reserve is the ability of the left ventricle to augment diastolic function with exercise and may be impaired in patients with diabetes mellitus (DM). It is unclear if endothelial dysfunction is related to impaired LV diastolic reserve and diminished exercise capacity.
METHODS: 96 patients with type 2 DM and 10 controls had brachial artery reactivity testing, followed by exercise echocardiography. The brachial artery diameter was measured at rest and during reactive hyperaemia. LV diastolic reserve was measured as Δe' with exercise and diastolic reserve index (Δe'/rest e'). Exercise capacity was calculated by metabolic equivalents (METs).
RESULTS: Compared with controls, patients with DM had lower rest e' (7 vs 9 cm/s, p=0.002), lower Δe'(1 vs 4 cm/s, p=0.023), lower Δe'/rest e' (0.20 vs 0.47, p=0.003) and reduced flow mediated dilation (FMD, 5 vs 15%, p<0.001). FMD was correlated with Δe' (r=0.65, p<0.001), diastolic reserve index (r=0.61, p<0.001) and post-exercise septal E/e' (r=-0.50, p<0.001), but not with rest e' (r=0.13, p=0.177). FMD was an independent predictor of Δe' (β=0.002, p<0.001, R(2)=0.47) and diastolic reserve index (β=0.030, p<0.001, R(2)=0.41). Younger age (p<0.001), male gender (p=0.014), lower body mass index (p<0.001), lower rest E/e' (p=0.042) and higher FMD (p=0.025) were independent predictors of higher METs (R(2)=0.52, p<0.001).
CONCLUSIONS: Patients with DM had impaired endothelial function and LV diastolic dysfunction. LV diastolic reserve and exercise capacity are linked to endothelial function. Targeting vascular risk factors to improve endothelial function may improve LV diastolic reserve and exercise capacity.

Entities:  

Year:  2014        PMID: 25332819      PMCID: PMC4189301          DOI: 10.1136/openhrt-2014-000113

Source DB:  PubMed          Journal:  Open Heart        ISSN: 2053-3624


What is already known about this subject? Endothelial dysfunction is an early feature of vascular disease. Left ventricular (LV) diastolic reserve is the ability of the left ventricle to augment diastolic function with exercise and may be impaired in patients with diabetes (DM). What does this study add? DM patients had impaired endothelial function, LV diastolic dysfunction and diastolic reserve. LV diastolic reserve and exercise capacity are linked to endothelial function. How might this impact on clinical practice? Targeting vascular risk factors to improve endothelial function may improve LV diastolic reserve and exercise capacity.

Background

Endothelial dysfunction plays a pivotal role in the pathogenesis of atherosclerosis1 and has been shown to precede the development of atherosclerotic plaques in the coronary arteries.2 It has also been demonstrated in the presence of vascular risk factors including smoking, hypertension, dyslipidaemia and diabetes mellitus (DM).3 4 Patients with DM may develop cardiomyopathy independent of traditional risk factors such as hypertension and epicardial coronary artery disease. The spectrum of myocardial dysfunction may range from isolated diastolic dysfunction in the early stage to overt systolic dysfunction. Diastolic dysfunction is usually manifested as exertional dyspnoea and impaired exercise capacity. Diastolic reserve is the ability of left ventricular (LV) filling pressures to remain normal with exercise and tachycardia. Analogous to an impaired contractile reserve in early LV systolic dysfunction, an impaired diastolic reserve may be seen in early stages of diastolic dysfunction such as that in diabetic cardiomyopathy.5–7 Like systole, LV diastole is an active, energy requiring process and hence may be adversely affected by endothelial dysfunction. However, no studies have examined the possible link between LV diastolic dysfunction, exercise capacity and endothelial dysfunction in patients with DM. In this study, we aim to evaluate the link between endothelial function, exercise capacity and LV diastolic function reserve in patients with type 2 DM.

Methods

Patients

Ninety-eight patients with type 2 DM were recruited from hospital clinics and from the local community. Type 2 DM was diagnosed according to the American Diabetes Association criteria.8 Patients with type 1 DM, known congenital, valvular or coronary artery disease (CAD), severe hypertension (systolic pressure >200 mm Hg and diastolic pressure >120 mm Hg at rest), left bundle branch block or rhythm other than sinus and those unable to exercise were excluded. All participants had normal resting ECG and were free of symptoms or signs of overt heart disease. All cardiac medications were continued throughout the studies with no modifications made to the patients’ treatment regimen. Ten age-matched and gender-matched healthy individuals with no documented vascular disease were included as controls. All patients provided written informed consent. The study was approved by the Hospital Human Research Ethics Committee. Clinical data collected included age, height, weight, waist and hip circumference, Medical Research Council dyspnoea scale, cardiac risk factors, duration of DM, medications and the presence of macrovascular and microvascular complications. The body mass index was calculated.

Metabolic data

For patients with DM, haemoglobin, glycated haemoglobin (HbA1c) levels, serum creatinine, estimated glomerular filtration rate (eGFR) using the modification of diet in renal disease formula,9 total cholesterol, low-density lipoprotein, high-density lipoprotein, triglycerides and urinary spot albumin to creatinine ratio were measured.

Two-dimensional and Doppler echocardiography

Two-dimensional (2D) transthoracic echocardiography was performed in the left lateral decubitus position with commercially available ultrasound equipment (M5S probe, Vivid E9, GE Medical Systems, Milwaukee, WI). All images were digitally stored on hard discs for offline analysis (EchoPAC, BT10, GE). A complete M-mode, 2D, colour, pulsed and continuous-wave Doppler examination was performed according to standard techniques at rest to assess chamber thickness, volumes and valvular morphology. LV diastolic and systolic volumes were measured to calculate LV ejection fraction using the Simpson biplane method of discs in the apical four-chamber and two-chamber views. Maximum and minimal left atrial volumes were measured similarly. The pulmonary artery systolic pressure was estimated from the tricuspid regurgitant jet maximum velocity. The mitral inflow pattern was interrogated with pulse wave Doppler by placing a 1–2 mm sample volume at the mitral leaflet tips in the apical four-chamber view. The peak velocities of early (E) and late (A) ventricular filling, and deceleration times of the E wave were measured. The mitral septal and lateral annulus systolic (s′), early (e′) and late (a′) diastolic tissue velocities were measured with pulse-wave tissue Doppler. The Nyquist limit was adjusted to approximately 24 cm/s; a clear tissue signal with minimal background noise was recorded by optimising the gain and sample volume. A 2–5 mm sample volume was placed at the septal and lateral mitral annulus in the apical four-chamber view, paying careful attention to ensure proper alignment and minimise the incident angle. Three to five cardiac cycles were recorded for all 2D echocardiographic and Doppler measurements.

Exercise echocardiography

All patients underwent symptom limited exercise echocardiography on a treadmill protocol according to the patients’ individual physical ability. Exercise capacity was measured as the metabolic equivalents (METs) achieved at peak exercise. The METs were calculated according to the American College of Sports Medicine Guidelines for Exercise Prescription and Testing as follows10: where grade is given in per cent, and speed in metres per minute. Heart rate and blood pressure were measured at rest and at 3 minute intervals during exercise. Two-dimensional images of the left ventricle were obtained in the apical (4 chamber, 2 chamber, long axis), parasternal long-axis and mid-ventricular short-axis views. These images were taken at rest and again immediately post-exercise. Immediately after the acquisition of 2D images post-exercise, the mitral E wave velocities and mitral septal annulus systolic (s′), early (e′) and late (a′) diastolic tissue velocities were measured. Patients with inducible ischaemia evident by new LV segmental wall motion abnormalities were excluded from further analysis (n=2). The mitral E/e′ ratio was used to estimate LV filling pressures at rest and post-exercise. LV diastolic reserve was measured as Δe′ (septal e′ post-exercise−e′ at rest) and diastolic reserve index was calculated as Δe′/rest e′.

Endothelial function by brachial artery reactivity

Brachial artery reactivity testing was performed to evaluate endothelial function according to standard protocols.11 In preparation for the test, participants were asked to avoid high-fat foods, smoking, vasoactive drugs, caffeine and alcohol for 24 hours, fast for 8 hours prior, and avoid strenuous exercise up to 2 hours prior to the study. Examinations took place between 8:00 and 10:00 am to avoid circadian fluctuations. Brachial artery reactivity testing on the right arm was performed in a quiet and temperature controlled room following a 15 minute unperturbed rest with minimal conversation. In brief, the brachial artery was imaged with a 5–13 MHz linear matrix array transducer above the antecubital fossa in the longitudinal plane. The transmit focus was placed at the anterior vessel wall with the gain and zoom settings optimised. A segment with clear definition of the anterior and posterior intimal interfaces was identified and selected for continuous 2D imaging. Anatomical landmarks such as veins and bands were noted to help maintain imaging of the same segment of the artery throughout the study. A sphygmomanometer cuff was placed on the forearm. A baseline resting image was acquired with pulsed wave Doppler examination of the flow velocity with the sample volume placed in the mid artery and aligned with the blood flow. The cuff was then inflated to 240 mm Hg and maintained for 4.5 minutes. A 2D image during ischaemia was acquired. The cuff was then deflated and 45 s later, the flow velocity followed by 2D images of the brachial artery was taken during this hyperaemic phase. The participants were then rested for at least 20 minutes and until the flow velocities had returned to baseline values. A sublingual nitrate tablet (300 μg) was then administered and a repeat 2D image was acquired 3 minutes following tablet dissolution. The brachial artery diameter was measured from the intima-lumen interface of the opposing vessel walls at rest and during hyperaemia. Flow mediated dilation (FMD) was defined as the % dilation of the vessel, measured as the difference in diameters between the hyperaemic and resting phases divided by the resting diameter. Flow rate was measured as the product of cross-sectional area of the vessel assuming a circular geometry and the time velocity integral of the antegrade flow velocities. The averages of at least three cardiac cycles were used.

Statistical analysis

Continuous variables were presented as mean+/−1 SD unless otherwise stated. Continuous variables were compared with the Student's t test. Categorical variables were compared with the χ2 test. Multiple linear regression analysis was performed to identify independent predictors of Δe′, diastolic reserve index and METs in all participants. A two-tailed p value <0.05 was considered significant. All statistical analyses were performed using STATA V.12 (STATA Corporation, College Station, Texas, USA).

Results

The baseline clinical and echocardiographic characteristics of our 96 patients and 10 controls are presented in table 1. Patients and controls were well matched in the baseline clinical characteristics except for a higher prevalence of hypertension and dyslipidaemia and a higher body mass index in patients. More patients were on a statin. Patients with DM had a smaller LV end systolic volume and a low septal e′ at rest. Otherwise, the baseline echocardiographic characteristics were comparable. The mean HbA1c in patients with DM was 8.4%.
Table 1

Baseline clinical, resting echocardiographic characteristics of patients with diabetes compared with patients without diabetes

Diabetes (n=96)No diabetes (n=10)p Value
Clinical and anthropological characteristics
 Age (years)56±950±70.058
 Male58 (60%)7 (70%)0.554
 Height (cm)168±9172±110.127
 Weight (kg)94±2583±180.148
 Body surface area (m2)2.08±0.291.98±0.2760.304
 Body mass index (kg/m2)34±828±40.025
 Smoking n (%)13 (14%)1 (10%)0.753
 Hypertension n (%)71 (74%)2 (20%) <0.001
 Dyslipidaemia n (%)77 (80%)4 (40%)0.004
 Family history CAD n (%)31 (32%)4 (40%)0.622
 Antiplatelet agent n (%)33 (34%)1 (10%)0.116
 β-blocker n (%)10 (10%)0 (0%)0.593
 Calcium channel blocker n (%)21 (22%)0 (0%)0.205
 ACE inhibitor n (%)38 (40%)0 (0%)0.013
 Angiotensin receptor blocker n (%)34 (35%)1 (10%)0.160
 Diuretics n (%)18 (19%)0 (0%)0.206
 Statin n (%)55 (57%)2 (20%)0.042
 Fenofibrate2 (2%)0 (0%)1.000
 MRC dyspnoea grade0.397
  130 (31%)6 (60%)
  250 (52%)4 (40%)
  38 (8%)0 (0%)
  48 (8%)0 (0%)
  50 (0%)0 (0%)
Resting left ventricular parameters
 LV end-diastolic volume index (mL/m2)35±2645±130.09
 LV end-systolic volume index (mL/m2)10±615±60.021
 Resting LV ejection fraction (%)70±1166±60.116
 Septal s′ (cm/s)7.0±1.47.3±1.30.463
 Septal e′ (cm/s)6.7±1.78.6±2.00.002
 Septal E/e′10.2±4.27.7±1.5<0.001
 Lateral s′ (cm/s)7.6±2.17.3±2.00.687
 Lateral e′ (cm/s)8.2±2.49.7±3.50.092
 Lateral E/e′8.6±4.07.9±5.10.593
 LV mass index (g/m2)76±2075±180.910

CAD, coronary artery disease; LV, left ventricular; MRC, Medical Research Council.

Baseline clinical, resting echocardiographic characteristics of patients with diabetes compared with patients without diabetes CAD, coronary artery disease; LV, left ventricular; MRC, Medical Research Council. Post-exercise physiological and echocardiographic parameters are presented in table 2. Compared with controls, patients had a significantly reduced exercise capacity, lower peak systolic blood pressure and lower peak heart rate. Immediately after exercise, patients with DM had lower septal s′, e′ and a′ velocities and a significantly higher septal E/e′ ratio. Patients had a smaller Δe′ with exercise and a lower diastolic reserve index.
Table 2

Post-exercise echocardiographic parameters and exercise physiological responses of patients with diabetes mellitus compared to those without diabetes

Diabetes (n=96)No diabetes (n=10)p Value
Post-exercise echocardiographic parameters
LV end-diastolic volume index (mL/m2)36±1246±120.015
LV end-systolic volume index (mL/m2)10±710±50.716
LV ejection fraction (%)74±1078±80.252
Septal s′ (cm/s)10.9±2.814.6±4.60.033
Septal e′ (cm/s)7.9±2.112.5±4.10.006
Septal E/e′12.3±4.07.0±1.9<0.001
▵ e′ (cm/s)1.2±1.53.9±3.20.023
▵ e′/resting e′0.20±0.260.47±0.340.003
Exercise parameters
METs8.5±2.813.2±2.9<0.001
Peak heart rate (bpm)152±19168±130.012
Peak systolic blood pressure (mm Hg)168±19184±160.018
Peak diastolic blood pressure (mm Hg)70±1173±110.471

LV, left ventricular; METs, metabolic equivalents.

Post-exercise echocardiographic parameters and exercise physiological responses of patients with diabetes mellitus compared to those without diabetes LV, left ventricular; METs, metabolic equivalents.

Brachial artery reactivity

Patients, compared with controls, had a significantly lower FMD (5 vs 15%, p<0.001) of the brachial artery, and a reduced relative and absolute increase in flow rate with hyperaemia (103 vs 277%, p=0.046 and 76 vs 189 mL/min, p=0.028, respectively). There was a significant correlation in patients with DM between FMD and Δe′ (r=0.59, p<0.001), diastolic reserve index (r=0.56, p<0.001), post-exercise septal E/e′ (r=−0.40, p<0.001) and HbA1c (r=−0.21, p=0.043), but not with resting e′ (r=−0.0006, p=0.996). After controlling for smoking, hypertension, dyslipidaemia, DM and obesity, FMD was an independent predictor of both ▵e′ (β=0.002, p<0.001, R2=0.47) and diastolic reserve index (β=0.030, p<0.001, R2=0.41) in all participants.

Determinants of exercise capacity

Table 3 summarises the independent predictors of exercise capacity in all participants. Younger age, male gender, lower rest E/e′ and higher FMD were significant independent predictors of higher exercise capacity expressed in METs (R2=0.52, p<0.001). The coefficients for age, BMI and rest E/e′ were negative as higher values of these parameters were associated with lower METs. The coefficients for male gender and FMD were positive as male gender and higher FMD were associated with higher METs.
Table 3

Independent determinants of exercise capacity measured as metabolic equivalents in all participants

ParameterCoefficient95% CIp Value
Age−0.137−0.19 to −0.08<0.001
Male gender1.190.24 to 2.130.014
BMI−0.176−0.24 to −0.12<0.001
Septal E/e′ at rest−0.149−0.29 to −0.0050.04
FMD0.0920.01 to 0.170.025
Constant22.8618.9 to 26.8<0.001

BMI, body mass index; FMD, flow-mediated dilation.

Independent determinants of exercise capacity measured as metabolic equivalents in all participants BMI, body mass index; FMD, flow-mediated dilation.

Discussion

Patients with DM have been shown to have impaired LV diastolic function. This is also evident in the present study which demonstrated that such patients had a lower resting e′ despite a similar LV mass index, LV ejection fraction and LV filling pressures, measured by the E/e′ ratio, compared with controls. Furthermore, these patients had impaired diastolic reserve. They were less able to augment their LV diastolic function and maintain normal LV filling pressures with exercise. This was reflected by a lower exercise capacity, lower peak rate pressure product, lower e′ post-exercise, less increase in e′, a higher E/e′ and a lower diastolic reserve index. In agreement with other published studies,12 we have also demonstrated endothelial dysfunction in our patients with DM manifested as impaired FMD of the brachial artery. More importantly, we have shown that there was a significant relationship between endothelial function, exercise capacity and LV diastolic reserve. After correcting for factors known to affect diastolic function and exercise capacity, endothelial function remained an independent predictor of diastolic reserve and exercise capacity.

Diastolic dysfunction in diabetes

Patients with diabetes are at risk of developing heart failure independent of traditional risk factors like hypertension or CAD with subclinical LV systolic and diastolic dysfunction common even in asymptomatic patients. An impaired diastolic reserve in DM may even be an earlier manifestation of LV involvement, at a stage where the resting systolic and diastolic function may still be within normal range. Ha et al demonstrated a blunted increase in the mitral annular s′ and e′ velocities in patients with type 2 DM compared with controls despite similar velocities between the two groups at rest.13 A similar impairment in increase in e′ velocities was noted by Jellis et al in patients with DM and normal resting e′ velocities.14 In the current study, we were able to demonstrate that patients with type 2 DM had worse LV diastolic function and elevated diastolic pressures post-exercise. Impaired diastolic reserve is also of prognostic significance in DM. In a study of 197 patients with DM followed up over a median of 57 months, eGFR, DM duration and the increase in e′ with exercise were found to be independently predictive of adverse cardiac outcome.15 Diabetic cardiomyopathy is believed by many to be a distinct clinical entity with multiple mechanisms,16 17 with microvascular dysfunction as the final common pathway in the pathogenesis. Previous studies have suggested a possible link between microvascular function and LV diastolic function,18 but the correlation has not been examined previously.

Endothelial and diastolic dysfunction in diabetes

FMD of large conduit vessels is an accepted technique to quantify endothelial function. It has been found to have predictive value for future cardiovascular events.19 Furthermore, as endothelial dysfunction is a systemic process, endothelial function in the peripheral circulation is used as a surrogate of coronary microvascular function, with good correlation demonstrated between responses to acetylcholine in the coronary circulation and in the forearm vessels.20 Endothelial dysfunction has been demonstrated in patients with DM.12 We have shown that endothelial function, diastolic reserve and exercise capacity are intricately linked with the endothelial function being a significant independent determinant of both diastolic reserve and exercise capacity. It can be inferred that, among other known factors including age and gender that affect exercise capacity, the ability of the left ventricle to augment diastolic function is determined by coronary microvascular function which ultimately determines exercise capacity. LV diastole is an active energy requiring process and we have been able to demonstrate that diastolic dysfunction, seen in disease states like DM, is mediated by coronary microvascular dysfunction. Measures that are known to improve endothelial function, such as treatment of hypertension, dyslipidaemia and cessation of smoking, may help to improve LV diastolic function and exercise capacity.

Conclusions

Patients with DM had impaired endothelial function and LV diastolic dysfunction. LV diastolic functional reserve and exercise capacity are linked to endothelial function. LV diastolic functional reserve in DM is mediated by endothelial function, in addition to other known pathogenetic factors of diabetic cardiomyopathy. Targeting vascular risk factors that impair endothelial function may improve LV diastolic reserve and exercise capacity.
  19 in total

Review 1.  The clinical implications of endothelial dysfunction.

Authors:  Michael E Widlansky; Noyan Gokce; John F Keaney; Joseph A Vita
Journal:  J Am Coll Cardiol       Date:  2003-10-01       Impact factor: 24.094

2.  Global cardiovascular reserve dysfunction in heart failure with preserved ejection fraction.

Authors:  Barry A Borlaug; Thomas P Olson; Carolyn S P Lam; Kelly S Flood; Amir Lerman; Bruce D Johnson; Margaret M Redfield
Journal:  J Am Coll Cardiol       Date:  2010-09-07       Impact factor: 24.094

3.  Impact of left ventricular longitudinal diastolic functional reserve on clinical outcome in patients with type 2 diabetes mellitus.

Authors:  Sung-Ai Kim; Chi-Young Shim; Jin-Mi Kim; Hyun-Jin Lee; Dong-Hoon Choi; Eui-Young Choi; Yangsoo Jang; Namsik Chung; Jong-Won Ha
Journal:  Heart       Date:  2011-06-07       Impact factor: 5.994

Review 4.  Diabetic cardiomyopathy, causes and effects.

Authors:  Sihem Boudina; Evan Dale Abel
Journal:  Rev Endocr Metab Disord       Date:  2010-03       Impact factor: 6.514

5.  Usefulness of at rest and exercise hemodynamics to detect subclinical myocardial disease in type 2 diabetes mellitus.

Authors:  Christine L Jellis; Tony Stanton; Rodel Leano; Jennifer Martin; Thomas H Marwick
Journal:  Am J Cardiol       Date:  2010-12-31       Impact factor: 2.778

6.  Diastolic stress echocardiography: a novel noninvasive diagnostic test for diastolic dysfunction using supine bicycle exercise Doppler echocardiography.

Authors:  Jong-Won Ha; Jae K Oh; Patricia A Pellikka; Steve R Ommen; Vicky L Stussy; Kent R Bailey; James B Seward; A Jamil Tajik
Journal:  J Am Soc Echocardiogr       Date:  2005-01       Impact factor: 5.251

7.  Sympathetic dysfunction in type 1 diabetes: association with impaired myocardial blood flow reserve and diastolic dysfunction.

Authors:  Rodica Pop-Busui; Ian Kirkwood; Helena Schmid; Victor Marinescu; Justin Schroeder; Dennis Larkin; Elina Yamada; David M Raffel; Martin J Stevens
Journal:  J Am Coll Cardiol       Date:  2004-12-21       Impact factor: 24.094

Review 8.  Endothelial dysfunction in cardiovascular diseases: the role of oxidant stress.

Authors:  H Cai; D G Harrison
Journal:  Circ Res       Date:  2000-11-10       Impact factor: 17.367

9.  A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group.

Authors:  A S Levey; J P Bosch; J B Lewis; T Greene; N Rogers; D Roth
Journal:  Ann Intern Med       Date:  1999-03-16       Impact factor: 25.391

10.  Impaired endothelium-dependent vasodilation in type 2 diabetes. Relation to LDL size, oxidized LDL, and antioxidants.

Authors:  S Mäkimattila; M L Liu; J Vakkilainen; A Schlenzka; S Lahdenperä; M Syvänne; M Mäntysaari; P Summanen; R Bergholm; M R Taskinen; H Yki-Järvinen
Journal:  Diabetes Care       Date:  1999-06       Impact factor: 19.112

View more
  9 in total

1.  Aerobic exercise improves measures of vascular health in diabetic peripheral neuropathy.

Authors:  Sandra A Billinger; Jason-Flor V Sisante; Abdulfattah S Alqahtani; Mamatha Pasnoor; Patricia M Kluding
Journal:  Int J Neurosci       Date:  2016-02-16       Impact factor: 2.292

2.  Correlation between Diastolic Function and Endothelial Function in Patients with Type 2 Diabetes and Hypertension.

Authors:  Ricardo Bedirian; Mario Fritsch Neves; Wille Oigman; Ronaldo Altenburg Odebrecht Curi Gismondi; Cesar Romaro Pozzobon; Marcia Cristina Boaventura Ladeira; Marcia Bueno Castier
Journal:  Open Cardiovasc Med J       Date:  2016-10-31

3.  Early detection of left ventricular diastolic dysfunction using conventional and speckle tracking echocardiography in a large animal model of metabolic dysfunction.

Authors:  Mark M P van den Dorpel; Ilkka Heinonen; Sanne M Snelder; Hendrik J Vos; Oana Sorop; Ron T van Domburg; Daphne Merkus; Dirk J Duncker; Bas M van Dalen
Journal:  Int J Cardiovasc Imaging       Date:  2017-12-12       Impact factor: 2.357

4.  Impact of plasma xanthine oxidoreductase activity in patients with heart failure with preserved ejection fraction.

Authors:  Ken Watanabe; Tetsu Watanabe; Yoichiro Otaki; Tetsuro Shishido; Takayo Murase; Takashi Nakamura; Shigehiko Kato; Harutoshi Tamura; Satoshi Nishiyama; Hiroki Takahashi; Takanori Arimoto; Masafumi Watanabe
Journal:  ESC Heart Fail       Date:  2020-05-20

5.  Association between Light-Induced Dynamic Dilation of Retinal Vessels and Echocardiographic Parameters of the Left Ventricular Function in Hypertensive Patients.

Authors:  Małgorzata Peregud-Pogorzelska; Małgorzata Zielska; Miłosz Piotr Kawa; Katarzyna Babiak; Krzysztof Safranow; Bogusław Machaliński; Anna Machalińska
Journal:  Medicina (Kaunas)       Date:  2020-12-17       Impact factor: 2.430

6.  Mean and Variability of Lipid Measurements and Risk for Development of Subclinical Left Ventricular Diastolic Dysfunction.

Authors:  Jiyun Park; Mira Kang; Jiyeon Ahn; Min Young Kim; Min Sun Choi; You-Bin Lee; Gyuri Kim; Kyu Yeon Hur; Jae Hyeon Kim; Jeong Hoon Yang; Sang-Man Jin
Journal:  Diabetes Metab J       Date:  2021-11-22       Impact factor: 5.376

7.  Evaluation of Diastolic Function in Patients with Normal Perfusion and Type 2 Diabetes Mellitus with Gated Single-photon Emission Computed Tomography.

Authors:  Ayse Nurdan Korkmaz; Billur Caliskan; Fatma Erdem
Journal:  World J Nucl Med       Date:  2017 Jul-Sep

8.  Clinical Significance of Cardio-Ankle Vascular Index as a Cardiovascular Risk Factor in Elderly Patients With Type 2 Diabetes Mellitus.

Authors:  Takashi Hitsumoto
Journal:  J Clin Med Res       Date:  2018-02-18

9.  Assessment of dapagliflozin effect on diabetic endothelial dysfunction of brachial artery (ADDENDA-BHS2 trial): rationale, design, and baseline characteristics of a randomized controlled trial.

Authors:  Riobaldo M R Cintra; Alexandre A S Soares; Ikaro Breder; Daniel B Munhoz; Joaquim Barreto; Sheila T Kimura-Medorima; Pamela Cavalcante; Renata Zanchetta; Jessica Cunha Breder; Camila Moreira; Vitor W Virginio; Isabella Bonilha; Jose Carlos Lima-Junior; Otavio R Coelho-Filho; Vaneza L W Wolf; Gil Guerra-Junior; Daniela C Oliveira; Rodrigo Haeitmann; Vicente H R Fernandes; Wilson Nadruz; Fernando R P Chaves; Carlos E L Arieta; Thiago Quinaglia; Andrei C Sposito
Journal:  Diabetol Metab Syndr       Date:  2019-07-31       Impact factor: 3.320

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.