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. 2020 Jul 6;16:257–270. doi: 10.2147/VHRM.S259190

Cardiovascular Protection Variables Based on Exercise Intensity in Stable Coronary Heart Disease Patients After Coronary Stenting: A Comparative Study

Dyana Sarvasti 1,, Isabella Lalenoh 2, Emanoel Oepangat 2, Budhi Setianto Purwowiyoto 3, Anwar Santoso 3, Rochmad Romdoni 4
PMCID: PMC7352377  PMID: 32753874

Abstract

Purpose

Our study aimed at determining and comparing the mechanism of cardiovascular protection variables in moderate-intensity continuous training (MICT) and high-intensity interval training (HIIT) in patients with stable coronary heart disease (CHD) after coronary stenting.

Participants and Methods

This experimental study used the same subject and cross-over design, involving eleven stable CHD patients after coronary stenting. These were randomly divided into two groups; MICT for 29 minutes at 50–60% heart rate reserve and HIIT with 4x4 minute intervals at 60–80% heart rate reserve, each followed by three minutes of active recovery at 40–50% heart rate reserve. These were conducted three times a week for two weeks. The participants’ levels of adrenaline, noradrenaline, endothelial nitric oxide synthase (eNOS), extracellular superoxide dismutase (EC-SOD) activity assayed, and flow-mediated dilatation (FMD) were examined before and after treatments were completed.

Results

The HIIT significantly increased the levels of noradrenaline and eNOS compared with MICT (p<0.05). Also, HIIT was better in maintaining EC-SOD activity and FMD compared with MICT (p<0.05). Through the noradrenalin pathway, HIIT had a direct and significant effect on eNOS and FMD (p<0.05) but MICT, through the noradrenaline pathways, had a direct and significant effect on eNOS (p<0.05), and through the EC-SOD activity pathways had a direct and significant effect on FMD (p<0.05). MICT reduced EC-SOD activity and also decreased the FMD value.

Conclusion

HIIT is superior to MICT in increasing cardiovascular protection by increasing the concentrations of noradrenalin and eNOS, maintaining EC-SOD activity, and FMD in stable CHD patients after coronary stenting.

Keywords: coronary heart disease, high-intensity interval training, catecholamine, eNOS, SOD, FMD

Introduction

Coronary heart disease (CHD) is currently the leading cause of death worldwide.1 However, regular exercise is considered as one of the preventive and therapeutic measures for CHD.2 High-intensity interval training (HIIT) has some positive effects on the heart such as increasing the blood catecholamine concentration, shear stress, and relative hypoxia.3,4 It also increases the activities of sympathetic nerve, which stimulate the production of higher levels of catecholamine such as adrenaline and noradrenaline, compared with moderate-intensity continuous training (MICT).5 Additionally, increase in the concentration of catecholamine hormone due to HIIT activates β2-adrenergic receptors (β2-ARs) and β3-adrenergic receptors (β3-ARs) which induce the production of nitric oxide (NO) in coronary and peripheral blood vessels, through endothelial nitric oxide synthase (eNOS) activation and expression.6,7 Enhancement of the expression and activity of extracellular superoxide dismutase (EC-SOD) also increase the concentration of NO.8 However, this increase in the expression of NO causes a vasodilating effect on the coronary arteries, shown through flow-mediated dilatation (FMD) examination.9 Based on this background, the purpose of this experimental study was to determine and compare the mechanism of cardiovascular protection variables in HIIT and MICT patients with stable coronary heart disease (CHD) after coronary stenting.

Participants and Methods

Participants

Based on eligibility, 11 participants were enrolled in our study in September 2017, which was completed in December 2018. All the participants had clinical evidence of stable CAD with significant stenosis treated with a percutaneous coronary intervention (PCI) at the Department of Cardiology, National Cardiovascular Center, Harapan Kita, and Siloam Hospital, TB Simatupang, Jakarta, and were screened after successful PCI, defined as complete revascularization.

The inclusion criteria include; age <60 years, left ventricular ejection fraction (LVEF) > 50% (measured within six months of enrolment by echocardiography), sinus rhythm, resting heart rate <100 beats/minute, and willingness to sign the informed consent form.

Then, the exclusion criteria include; patients with orthopedic or neurological limitations to exercise, acute systemic illness (thyrotoxicosis, electrolyte abnormalities, uncontrolled diabetes mellitus, severe anemia Hb < 9 g/dL) or fever, pregnant, severe cardiac valve diseases, fixed-rate pacemaker or implantable cardioverter-defibrillator device, uncontrolled atrial or ventricular dysrhythmias, recent sudden cardiac death syndrome, creatinine serum > 2.5 mg/dL, mental or physical impairment leading to an inability to exercise adequately.

Also, the study protocol was reviewed and approved by the National Cardiovascular Center, Harapan Kita Institutional Review and Ethics Board (No. LB 01.02/VII/KEP. 012/2017), in conformation to the Nuremberg Code and the Declaration of Helsinki on the use of human subjects, and written informed consent was obtained from all participants before being enrolled in the study. The characteristics, medical history, and medications of the participants are shown in Table 1.

Table 1.

Baseline Characteristics of the Participants

Patient Characteristics n = 11
Gender [n (%)]
 Male 8 (72.7)
 Female 3 (27.3)
Age (mean ± SD) (years) 48.5 ± 6.6
Weight (mean ± SD) (kg) 72.4 ± 9.1
Height (mean ± SD) (cm) 164.1 ± 5.2
BMI (mean ± SD) (kg/m2) 27.0 ± 3.9
Ejection fraction (mean ± SD) (%) 61.5 ± 5.4
Risk factors [n (%)]
 Hypertension 3 (27.3)
 Smoking 9 (81.8)
 Diabetes mellitus 1 (9.1)
 Dyslipidemia 6 (54.5)
 Family history 3 (27.3)
 Menopause 3 (27.3)
Baseline ECG [n (%)]
 Normal 7 (63.6)
 Ischemia 0
 Old infarct 4 (36.4)
Medication [n (%)]
 Acetylsalicylic acid 11 (100)
 Clopidogrel 9 (81.8)
 ACE inhibitor/ARB 8 (72.7)
 β-blocker 10 (90.9)
Statin 11 (100)
Isosorbide dinitrate 2 (18.2)

Abbreviations: BMI, body mass index; ECG, electrocardiogram; ACE, angiotensin-converting enzyme; ARB, angiotensin II receptor blocker.

Exercise Stress Test

A continuous progressive stress test was performed on a treadmill (GE T2100; idsMED, Jakarta, Indonesia) with the aid of Bruce’s protocol, one day before and one day after the exercise program. The estimated workload in metabolic equivalents (Mets) and ST segments were collected and entered on-line. Also, prescriptions of the exercise and the target heart rates were determined based on the results of the treadmill test, according to the ability of each participant at that time, which was a day before the training. The MICT and HIIT were determined based on the Borg rating scale and the participants’ heart rate reserve (HRR), was calculated using the formula:10 Target heart rate = [(Maximum heart rate - Resting heart rate) × % Intensity desired] + Resting heart rate.

Blood Sampling and Analysis

The blood samples were obtained at rest, one day before and one day after the exercise program using a 19-gauge needle by direct vein puncture. This was drawn into 6-mL vacutainer tubes containing EDTA at room temperature. Then, the resulting platelet-poor plasma was collected in 1.5-mL Eppendorf tubes and frozen at –80°C for biomarker assays. However, all the samples were drawn and analyzed by blinded technicians. Also, the plasma adrenaline and noradrenaline concentrations were determined by enzyme immunoassay method (Adrenaline/noradrenaline ELISA kit; Catalog Number KA1877, Abnova Corporation, Taipei, Taiwan). The endothelial nitric oxide synthase (eNOS) concentrations were measured on the same plasma samples using the Quantitative Sandwich ELISA method (Human endothelial nitric oxide ELISA kit; Catalog Number MBS030177, MyBiosource, Inc., CA, USA). Then, the extracellular superoxide dismutase (SOD) activity was measured using colorimetric based assay, superoxide ions generated from the conversion of xanthine, and oxygen to uric acid and hydrogen peroxide by xanthine oxidase (SOD activity kit; Catalog Number ADI-900-157, Enzo Life Sciences, Inc., New York, USA).

Flow-Mediated Dilatation

The flow-mediated dilatation (FMD) was determined a day before and a day after the exercise program. The participants were allowed to rest for 10 min before initiating the FMD study in the brachial artery, to ensure stable conditions during scanning. Rapid inflation and pneumatic deflation cuff (big ben® sphygmomanometers, Riester, Jungingen, Germany) were positioned on the right forearm, 2 inches below the antecubital fossa. A 10-MHz multi-frequency linear array probes, attached to a high-resolution ultrasound machine (Aloka ProSound Alpha 10, Virginia, USA), was then used to image the brachial artery in the distal third of the upper arm. When an optimal image was obtained, the probe was held stable, and the ultrasound parameters were set to optimize the longitudinal, B-mode image of the lumen-arterial wall interface. After baseline images of the right brachial artery were obtained for 1 minute, the cuff was inflated to 50 mm Hg above the patient’s systolic blood pressure to occlude the right brachial artery and the cuff was kept inflated for 5 minutes. Then, the longitudinal image of the artery was continuously recorded from 30 s before to 2 min after cuff deflation.11 Images of the brachial artery diameters were captured in diastole (gated with electrocardiogram R wave). The FMD is calculated as a percentage change of peak diameter with respect to reactive hyperemia baseline diameter, as shown by this equation:12

graphic file with name M1.gif

Study Protocol

The study subjects were all receiving different treatments at certain time intervals. Also, the cross-over design was used to avoid the residual effects of treatment. The study subjects were 11 stable CHD patients after the implantation of coronary artery stents who met the inclusion criteria, each of which received two treatments; the HIIT and the MICT programs with the same total workload.

All the participants were asked to be in good hydration condition, get enough sleep to avoid fatigue, fever or flu, take the last meal at least two hours before exercise, continue taking their medications, stop taking alcohol and avoid smoking before partaking in the exercise. Additionally, the participants were instructed not to get involve in additional exercise during the study period. Then, the physical examination, measurement of vital signs, and resting ECG recording were carried out before the exercise. Only participants with physical stable condition such as no new complaints, systolic blood pressure <160 mmHg, diastolic blood pressure <100 mmHg, resting heart rate <100 beats/min, respiratory <25 times/min, body temperature 36–37ºC, and no change from the ECG compared to the baseline ECG at the beginning of the examination, were allowed to start the exercise.

The treadmill test procedures were performed before each training to determine its prescriptions, based on the resting and maximum heart rates, according to each patient’s ability. In addition, the treadmill tests were conducted to examine participants’ aerobic capacity before and after exercise program, although not shown in the results of our study. Examinations of the blood for adrenaline, noradrenaline, eNOS, EC-SOD activity, and FMD were also conducted before and after the patient followed the specified training program.

The participants met for training three times weekly for two weeks, amounting to six sessions, for each training program, under the supervision of a physician, trained nurse, and a trainer. Based on previous studies, daily MICT sessions for about 6–10 days could increase the aerobic capacity and mitochondrial enzyme activity of the participants, while seven sessions of HIIT for two weeks could increase subjects’ skeletal muscle capacity for fatty acid oxidation during the exercise.13,14

The training was conducted using a motorized treadmill (Matrix MX-T5x, Wisconsin, USA) where participants walked on it with no inclination. The MICT group went through a 5 minute warm-up period at an intensity corresponding to 40% of HRR before walking for 29 minutes continuously at an intensity 40–60% of HRR. The training session ended with a 3 minute cooling down period at 40% of HRR. Similarly, the HIIT group went through a 5 minute warm-up period at an intensity of 40%, followed by walking on the treadmill four times with 4 minute interval at 60–80% with three active recovery of 3 minute walking at 40–50%, and a 3 minute cool down at 40% of HRR. Each participant had the exercise with an electrocardiography (ECG) telemetry and a heart rate monitoring device (Nihon Kohden ECG Gateway, Tokyo, Japan). Also, the speed of the treadmill was continually adjusted as the training progressed to ensure that all sessions were carried out at the desired heart rate throughout the period. The BORG 6–20 scale was used to measure the rate of perceived exertion after each training session.15

In addition, the participants were detrained for two weeks after going through the first training to eliminate the effects of the previous exercise. Furthermore, each participant was subjected to a physical exercise different from the previous one; the participants who previously received MICT got HIIT, and vice versa.

The flow of participants through each period of the training program is shown in Figure 1.

Figure 1.

Figure 1

Flow of participants through each period of training program.

Abbreviations: MICT, moderate-intensity continuous training; HIIT, high-intensity interval training; FMD, flow-mediated dilatation.

Statistical Analysis

Participants’ characteristics were subjected to descriptive statistical analysis, with the categorical variables expressed as percentages and continuous variables expressed as mean ± standard deviation (SD). Non-parametric statistics were used due to the small groups involved in the study and to avoid assumptions of normal distributions. Also, changes within each parameter were assessed using the Wilcoxon signed ranks test with SPSS software, version 23.0 (IBM, New York, USA).

Additionally, path analysis was conducted to investigate the effects of each variable, which made it possible for simultaneous conduction of multiple and linear regression analyses. Therefore, it permitted the specification of complex models with multiple variable influences.16 Path analyses were conducted with AMOS software, version 25.0 (IBM, New York, USA) and the level of significance was set at p<0.05 for all tests.

Results

The average age of the participants was 48.5 ± 60.6-years, majority of whom had normal ECG, overweight, and smoking as the most common risk factors for CHD. The average left ventricular ejection fraction based on echocardiography was 61.5 ± 5.4%, and all participants received optimal medical therapy, as shown in Table 1.

Eleven participants completed the two weeks of MICT or HIIT sessions and the average heart rate during the period is shown in Table 2. The HIIT group did not show any statistical significant differences in adrenaline concentration compared to the MICT group, after four weeks of training, as shown in Table 3. There was a significant increase of noradrenalin in the HIIT group compared with MICT at p<0.05; as shown in Table 4. However, there was a significant decrease in EC-SOD activity in the MICT group compared with HIIT at p<0.05; as shown in Table 6. Also, the concentration of eNOS significantly varied before and after HIIT at p<0.05; as shown in Table 5, while a greater improvement was observed in FMD of the HIIT group compared with MICT at p<0.05; as shown in Table 7.

Table 2.

The Average of Participants Achieved Improvements in Heart Rate During the Training Program

Participants MICT HIIT
HR Resting (Mean ± SD) Target HR (40–60% of HRR) HR Achieved (Mean ± SD) HR Resting (Mean ± SD) Target HR (60–80% of HRR) High-Intensity HR Achieved (Mean ± SD) Active Recovery Target HR (40–50% HRR) Active Recovery HR Achieved (Mean ± SD)
01 66.67 ± 5.92 87–89 86.83 ± 1.17 70.50 ± 5.89 83–88 87.17 ± 1.72 78–81 79.50 ± 1.05
02 68.83 ± 7.08 99–105 99.17 ± 4.58 69.00 ± 4.60 96–107 98.33 ± 5.61 86–91 89.17 ± 1.72
03 86.00 ± 7.97 115–119 116.83 ± 1.33 88.50 ± 5.54 114–123 117.17 ± 3.19 105–110 107.17 ± 2.48
04 71.83 ± 4.88 84–88 83.33 ± 1.03 68.00 ± 5.18 88–98 92.83 ± 3.82 80–84 82.00 ± 2.10
05 68.33 ± 3.50 86–90 90.00 ± 2.83 69.50 ± 4.37 92–99 97.17 ± 1.72 84–88 86.67 ± 1.63
06 78.17 ± 8.47 109–112 109.67 ± 0.82 82.50 ± 4.64 99–106 103.50 ± 3.21 92–96 93.33 ± 1.51
07 82.00 ± 7.35 96–100 99.83 ± 2.40 78.33 ± 5.61 99–109 105.67 ± 6.47 90–94 92.50 ± 2.74
08 56.50 ± 1.97 105–115 114.33 ± 0.52 54.83 ± 5.34 120–141 121.17 ± 7.88 99–110 107.33 ± 4.32
09 78.50 ± 6.69 118–126 119.67 ± 2.07 70.50 ± 8.22 126–139 126.00 ± 6.66 113–119 116.33 ± 3.01
10 74.67 ± 3.39 109–113 109.83 ± 5.53 83.83 ± 7.94 116–127 122.00 ± 2.00 105–110 108.17 ± 2.14
11 86.67 ± 3.08 92–96 95.50 ± 2.35 84.17 ± 5.88 105–114 111.00 ± 3.52 95–100 95.83 ± 1.47

Note: Data are expressed as beats per minute.

Abbreviations: MICT, moderate-intensity continuous training; HIIT, high-intensity interval training; HR, heart rate; HRR, heart rate reserve; SD, standard deviation.

Table 3.

Changes in Adrenaline Concentration After and Before MICT and HIIT

Adrenaline (ng/mL) Before After P-value (One-Tailed) ∆ After-Before
MICT 0.022 ± 0.014 0.027 ± 0.015 0.316 0.005 ± 0.018
HIIT 0.023 ± 0.013 0.032 ± 0.024 0.080 0.008 ± 0.019
p-value(one-tailed) 0.380 0.337 0.480

Note: Data are expressed as mean ± SD.

Abbreviations: MICT, moderate-intensity continuous training; HIIT, high-intensity interval training; SD, standard deviation.

Table 4.

Changes in Noradrenaline Concentration After and Before MICT and HIIT

Noradrenaline (ng/mL) Before After P-value (One-Tailed) ∆ After-Before
MICT 0.070 ± 0.131 0.038 ± 0.082 0.343 −0.032 ± 0.146
HIIT 0.064 ± 0.120 0.160 ± 0.214 0.014* 0.096 ± 0.143
p-value(one-tailed) 0.297 0.014* 0.014*

Note: Data are expressed as mean ± SD. *Indicates statistical significance (p<0.05).

Abbreviations: MICT, moderate-intensity continuous training; HIIT, high-intensity interval training; SD, standard deviation

Table 6.

Changes in EC-SOD Activity After and Before MICT and HIIT

EC-SOD Activity (units/µL) Before After P-value (One-Tailed) ∆ After-Before
MICT 0.378 ± 0.047 0.362 ± 0.046 0.023* −0.016 ± 0.024
HIIT 0.357 ± 0.034 0.368 ± 0.037 0.229 0.010 ± 0.044
p-value
(one-tailed)
0.035* 0.378 0.048*

Notes: Data are expressed as mean ± SD. *Indicates statistical significance (p<0.05).

Abbreviations: EC-SOD, extracellular superoxide dismutase; MICT, moderate-intensity continuous training; HIIT, high-intensity interval training; SD, standard deviation.

Table 5.

Changes in eNOS Concentration After and Before MICT and HIIT

eNOS (ng/mL) Before After P-value (One-Tailed) ∆ After-Before
MICT 1.309 ± 0.797 1.235 ± 0.350 0.267 −0.074 ± 0.702
HIIT 1.249 ± 0.507 1.302 ± 0.478 <0.001* 0.053 ± 0.184
p-value
(one-tailed)
0.380 0.212 0.439

Notes: Data are expressed as mean ± SD. *Indicates statistical significance (p<0.001).

Abbreviations: eNOS, endothelial nitric oxide synthase; MICT, moderate-intensity continuous training; HIIT, high-intensity interval training; SD, standard deviation.

Table 7.

Changes in FMD After and Before MICT and HIIT

FMD (%) Before After P-value (One-Tailed) ∆ After-Before
MICT 10.555 ± 4.436 10.009 ± 3.994 0.254 −0.546 ± 3.849
HIIT 8.809 ± 2.744 9.664 ± 3.452 0.324 0.855 ± 3.645
p-value
(one-tailed)
0.133 0.439 0.042*

Notes: Data are expressed as mean ± SD. *Indicates statistical significance (p<0.05).

Abbreviations: FMD, flow-mediated dilatation; MICT, moderate-intensity continuous training; HIIT, high-intensity interval training; SD, standard deviation.

Table 8 shows the standardized regression coefficients of the initial result of path analysis extracted for MICT and HIIT; models from AMOS software shown in Figures 2A and 3A. Positive coefficients mean that the increase in an independent variable leads to a rise in a dependent variable and vice versa. The initial path analysis showed that adrenaline concentration did not affect eNOS concentration since p>0.05, and did not affect FMD as well, since p>0.05. However, the concentration of noradrenaline significantly affected eNOS since p<0.001, with a positive coefficient; but the concentration of noradrenaline did not affect FMD since p>0.05. Similarly, level of eNOS did not have any effect on FMD since p>0.05, but the activity of EC-SOD played a significant role on FMD at p<0.05, with a positive coefficient.

Table 8.

The Initial Results of Path Analysis for MICT and HIIT

Model MICT HIIT
β p-value β p-value
Adrenaline → eNOS 0.136 0.388 0.122 0.487
Noradrenaline → eNOS 0.680 <0.001** 0.585 <0.001**
Adrenaline → FMD −0.236 0.191 0.284 0.097
Noradrenaline → FMD −0.087 0.721 −0.346 0.099
eNOS → FMD −0.081 0.742 −0.304 0.151
EC-SOD Activity → FMD 0.503 0.005* 0.036 0.833

Notes: Single-headed arrows (→) indicate a path. β indicate standardized regression coefficients. *Indicates statistical significance (p<0.05). **Indicates statistical significance (p<0.001).

Abbreviations: MICT, moderate-intensity continuous training; HIIT, high-intensity interval training; eNOS, endothelial nitric oxide synthase; EC-SOD, extracellular superoxide dismutase; FMD, flow-mediated dilatation.

Figure 2.

Figure 2

The path model of MICT.

Notes: (A) The hypothesized model with path coefficients of MICT. (B) The trimmed model with path coefficients of MICT. All variables (dependent and independent) are shown in rectangles. Variables not included in the models are shown in circles with (e) sign. Single-headed arrows with standardized coefficients link independent variables to the dependent variable. The diagrams are plotted and optimized in Amos (version 25.0).

Abbreviations: eNOS, endothelial nitric oxide synthase; EC-SOD, extracellular superoxide dismutase; FMD, flow-mediated dilatation.

Figure 3.

Figure 3

The path model of HIIT.

Notes: (A) The hypothesized model with path coefficients of HIIT. (B) The trimmed model with path coefficients of HIIT. All variables (dependent and independent) are shown in rectangles. Variables not included in the models are shown in circles with (e) sign. Single headed arrows with standardized coefficients link independent variables to dependent variable. The diagrams are plotted and optimized in Amos (version 25.0).

Abbreviations: eNOS, endothelial nitric oxide synthase; EC-SOD, extracellular superoxide dismutase; FMD, flow-mediated dilatation.

Results in the HIIT group showed that adrenaline concentration did not affect eNOS and FMD since p>0.05 in both cases. Noradrenalin concentration, on the other hand, influenced eNOS since p<0.001, with a positive coefficient; however, it did not affect FMD since p>0.05. Furthermore, eNOS concentration and the activity of EC-SOD did not affect FMD since p>0.05.

Table 9 summarizes the standardized regression coefficients after non-significant paths in MICT and HIIT were deleted; the final path models are shown in Figures 2B and 3B. The final path analysis showed that in MICT, noradrenalin concentration affected eNOS concentration since p<0.001, and EC-SOD activity affected eNOS since p<0.05, with a positive coefficient.

Table 9.

The Final Results of Path Analysis for MICT and HIIT

Model β p-value
MICT Noradrenaline → eNOS 0.692 <0.001**
EC-SOD Activity → eNOS 0.404 0.043*
HIIT Noradrenaline → eNOS 0.616 <0.001**
Noradrenaline → FMD −0.456 0.019*

Notes: Single-headed arrows (→) indicate a path. β indicate standardized regression coefficients. *Indicates statistical significance (p<0.05). **Indicates statistical significance (p<0.001).

Abbreviations: MICT, moderate-intensity continuous training; HIIT, high-intensity interval training; eNOS, endothelial nitric oxide synthase; EC-SOD, extracellular superoxide dismutase; FMD, flow-mediated dilatation.

Results in the HIIT group showed that noradrenaline concentration affected eNOS since p<0.001, with a positive coefficient, and affected FMD since p<0.05, but with a negative coefficient.

The final diagram of the cardiovascular protection mechanism for MICT and HIIT are shown in Figure 4. MICT reduced EC-SOD activity and the lower the activity, the lower the FMD assay. The higher the noradrenaline in the MICT group, the higher the concentration of eNOS. However, the HIIT further increased noradrenaline and eNOS concentrations compared with MICT. Hence, the higher the noradrenaline concentration in HIIT, the higher the eNOS and the lower the FMD assay, and vice-versa.

Figure 4.

Figure 4

The best diagram of cardiovascular protection mechanism for MICT (A) and HIIT (B).

Notes: All variables (dependent and independent) are shown in rectangles. Arrows represent links, with significant links shown as solid lines and nonsignificant paths shown as broken lines. (+), positive influence; (-), negative influence.

Abbreviations: MICT, moderate-intensity continuous training; HIIT, high-intensity interval training; eNOS, endothelial nitric oxide synthase; EC-SOD, extracellular superoxide dismutase; FMD, flow-mediated dilatation.

Safety Assessment

There was no adverse event in any of the groups.

Discussion

Based on the result, there was no significant difference in the change in adrenaline concentration in both groups. Stimulation of the sympathetic nerves increased during exercise with higher intensity, thereby stimulating the adrenal medulla gland to produce adrenaline hormone. The concentration of this hormone in plasma is also influenced by its clearance but it reduces when the concentration of adrenaline increases more than ten times its basal value.17

This clearance is reduced due to HIIT causing high secretion of adrenaline, which requires a longer time to be eliminated from the body. During MICT also, the clearance of adrenaline concentration is reduced due to its distribution in the organs being more evenly distributed due to the longer duration of exercise (29 minutes). Hence, it takes a long time to eliminate adrenaline in the plasma. Also, there was no significant increase in adrenaline concentrations, presumably because its concentration was more related to psychological stress, hypoglycemia, caffeine consumption, and Valsalva maneuver, compared to noradrenaline concentrations, which are more related to physical exercise and body position (orthostatic).18

The results showed that the level of noradrenaline increased more with HIIT compared with MICT activities. Similarly, a study by Greiwe et al, showed that exercise on a treadmill for 15 minutes in 6 women and 3 men aged 28 years, resulted in higher noradrenaline at rest compared to post-exercise, with an intensity of 60% VO2max. However, the noradrenaline concentration increased when the intensity of the exercise was within 60–85% VO2max.19 In our study, the intensity of MICT was within 50–60% HRR, which is equivalent to 50–60% VO2max, and the intensity of HIIT was within 60–80% HRR (60–80% VO2max), which was almost similar to this previous study. Our study assumes that the higher the intensity of exercise, the stimulation of the sympathetic nervous system increases, thereby resulting in higher noradrenaline. Likewise, Greiwe et al demonstrated the increment in the spillover of noradrenaline during moderate to high-intensity exercise, and increased continuously with time, while the systemic noradrenaline clearance reduced.19

According to Padilla et al, there was a significant relationship between the intensity of aerobic exercise training and the flow-mediated dilatation response. The study showed that the brachial artery shear stress was greatest following high-intensity exercise.20 In vivo exercise has a similar effect as laminar shear stress on endothelial function. Normally, laminar shear stress regulates endothelial structure and function by controlling the expression of mechanosensitive genes and production of vasoactive factors. This shear stress affects eNOS acutely and chronically, thereby activating the enzyme to produce NO within seconds. It also stimulates intracellular calcium, increases calmodulin to bond with eNOS, and increases eNOS activity acutely and transiently.21,22 In addition, shear stress stimulates the phosphorylation of eNOS at serine 635 and 1177 by protein kinase-A. Laminar shear stress which occurs for long time increases eNOS messenger ribonucleic acid (mRNA) and protein; the eNOS expression therefore increases due to increased transcription of temporary eNOS mRNA and sustained improvement in eNOS mRNA stability.22

The HIIT in our study might result in more significant shear stress in the endothelial layer, thereby producing a higher concentration of eNOS compared with MICT. In general, the concentration of eNOS in plasma is an indication of high or low NO synthesis and also equivalent to an improved endothelial function.23

MICT was performed three times a week for two weeks in our study, resulting in decreased EC-SOD activity. This has shown the inability to maintain or increase EC-SOD activity. It is assumed that MICT is unable to elicit an adaptive response to oxidative stress through the activation of nuclear erythroid 2-related factor (Nrf2) signal. Nrf2 is a redox transcription factor and a major regulator of antioxidants. It is also a cytoprotective cofactor responsible for increasing the defense mechanism of an antioxidant.24 Acute exercise could activate Nrf2 signaling through increased reactive oxygen species (ROS) production, thereby increasing the transactivation of antioxidant genes and myocardial cardioprotection.24 According to Gounder et al, increase in the regulation of Nrf2 expression occurs during high-intensity training.25 However, there were only few studies on the adaptive response of Nrf2 to exercise in humans.26

Landmesser et al showed that EC-SOD activity decreased in CHD patients, which was related to endothelial dysfunction.27 The HIIT in our study was performed three times a week for two weeks in stable CHD patients and was able to maintain the EC-SOD activity, compared with MICT. Acute HIIT could increase oxidative stress, which stimulates ROS, including superoxide anions. However, repeated exercise could cause changes in the regulation of the body’s defense system by increasing antioxidants with the capacity of turning pro-oxidants into inactive ones.28

HIIT could create unfavorable conditions with a continuous increase in its intensity, because it could lead to increased ROS and decreased circulating antioxidants.29 This condition could however be prevented with intervals, in the form of active or passive recovery, so as to eliminate its adverse effects on blood vessels.29,30

Also, HIIT could provoke more blood flow in the large blood vessels during exercise where shear stress increases and induces NO bioavailability.31 Moreover, repetitive shear stress due to HIIT could initiate changes at the molecular level. The potassium canal of endothelial cells becomes more sensitive, thereby facilitating the influx of calcium into the cells. This increased in intracellular calcium in endothelial cells increases the activity and expression of eNOS, and NO production, hence resulting in vasodilation.32 The HIIT in our study increased the mean change in FMD such that it was better to stay well maintained, compared with MICT. In general, HIIT is more effective in improving brachial artery endothelial function (FMD) compared with MICT.

Furthermore, the path analysis showed that adrenaline concentration in MICT and HIIT has no significant effect on the concentration of eNOS. This was due to changes in the adrenaline which occurred as the exercise has not been able to activate β2-ARs and β3-ARs in blood vessel as the stimulation and activation on these receptors could induce eNOS activation. Research conducted by Banquet et al, showed that the stimulation in β2-ARs could activate eNOS through Src kinase-PI3K/Akt-dependent.33

Adrenaline affects blood vessel dilatation through its affinity on adrenergic receptors. It has a magnitude of affinity for α1 adrenergic receptors (α1-ARs) and α2 adrenergic receptors (α2-ARs), which is almost the same as noradrenaline, but with a higher affinity for β2-ARs and lower for β3-ARs compared to noradrenaline. Low adrenaline concentrations results to vasodilation, while high adrenaline causes vasoconstriction.34 The concentration of adrenaline in our study, caused by MICT and HIIT had not significant effect on FMD, presumably because its concentration was not up to the level needed to stimulate adrenergic receptors in blood vessels.

Vasodilation of blood vessels is influenced by several mechanisms, including adenosine through the hyperpolarization of calcium-activated potassium channel membrane, or the endothelium-derived hyperpolarizing factor (EDHF) pathway,35 prostacyclin through the cyclic adenosine monophosphate (cAMP) pathway,36 and NO through the cyclic guanosine monophosphate (cGMP) pathway.37 Since eNOS expression increases the bioavailability of NO, this results in vasodilation of blood vessels which increases FMD. In our study, eNOS had no effect on FMD presumably due to the involvement of other pathways which are more dominant in influencing FMD, such as the EDHF or prostacyclin pathway. Hence, there is need for further research in both exercises.

The noradrenaline concentration influences eNOS concentration in both MICT and HIIT. This is a catecholamine hormone more associated with exercise compared with adrenaline. Circulating noradrenaline usually shows a metabolic effect with concentration more than 1.8 ng/mL.18 In our study, the average increase in noradrenaline concentration after the MICT and HIIT programs was 0.038 ± 0.082 and 0.160 ± 0.214 ng/mL respectively, which was able to increase the concentration of eNOS. It is assumed that increasing the concentrations of noradrenaline in both exercise were able to stimulate α-ARs and β2-ARs. Then, the stimulation of these adrenergic receptors resulted in an increase in Akt phosphorylation, which in turn mediates eNOS phosphorylation in Serine 1177, thereby increasing the concentration of eNOS.38,39

The noradrenaline stimulation of β3-ARs is also thought to be the underlying cause of the increase in eNOS after the exercise. Stimulation of β3-ARs has the capacity of activating eNOS through the Rac1-PKA-Akt pathway.40 The results in our study showed that the increase in the concentration of noradrenaline was more significant after performing HIIT than MICT. Similarly, HIIT increased eNOS concentrations compared to MICT. This is due to the fact that the noradrenaline concentration in HIIT was more significant in stimulating α-ARs, β2-ARs, and β3-ARs.

Noradrenaline is a protector against oxidants and known to be a superoxide free radical scavenger, with the capacity of inducing SOD expression.41 The increase in noradrenaline concentration, which is more significant in HIIT, and its function as an antioxidant which induces EC-SOD expression, is thought to be the reason why HIIT is more able to maintain EC-SOD activity than MICT.

Our study showed that the noradrenaline concentration of HIIT affected FMD negatively. This means that increase in noradrenaline results in decrease in FMD, and vice-versa. Noradrenaline stimulation of cardiac β1-ARs is comparable to adrenaline, its effect on peripheral α-ARs is equivalent, but its effect on β2-ARs for peripheral vasodilation is less than that of adrenaline. Noradrenaline significantly increases vascular resistance and reduces blood flow in the muscles compared with adrenaline.42 Although noradrenaline stimulates β2-ARs, its effect on the vasoconstriction of blood vessels is greater. This is because the anatomical location of α1-ARs is closer to the point where noradrenaline is released from terminal neurons compared to the location of β2-ARs. Also, the number and activity of vascular α1-ARs are greater compared with β-ARs, thereby resulting in vasoconstriction.43 This is thought to be the reason why a significant increase in noradrenaline could reduce the value of FMD.

However, noradrenaline has a greater affinity for β3-ARs compared to adrenaline.34 The new β3-ARs is stimulated when the plasma catecholamines are very high. This is considered a “safety valve” when intense adrenergic stimulation occurs at this receptor. In addition, the stimulation of β3-ARs has a cardioprotective effect on the ventricles and atrium of the heart in the form of a positive feedback mechanism against inotropic and chronotropic which increase due to the increase in this catecholamine hormone. Furthermore, the stimulation of β3-ARs reduces the incidence of arrhythmias due to the presence of the catecholamine hormone in β1-ARs.44 Thus, it is assumed that a significant increase in the concentration of noradrenaline in HIIT is expected to stimulate β3-ARs in heart, hence providing a better cardioprotection effect with the capacity of maintaining the balance of oxygen consumption in the heart muscle when there is a high increase in the catecholamine hormone.

Conclusion

Based on the results, HIIT increased the concentrations of noradrenaline and eNOS, as well as maintained the EC-SOD activity and FMD. Although, it was unable show an increase in adrenaline concentration more than MICT. Also, HIIT provided a better effect on cardiovascular protection compared with MICT, as a result of increased in noradrenaline and eNOS, as well as through its ability to maintain EC-SOD activity and FMD in stable CHD patients after coronary stenting.

However, there is need for future research on the effect of HIIT on cardiovascular protection using other means.

Acknowledgments

The authors are grateful to all nurses, staff, and trainers of the Cardiovascular Prevention and Rehabilitation Unit, Vascular Unit, and the Molecular Laboratory and Stem Cell Facility of the National Cardiovascular Center Harapan Kita, Jakarta, for making this project a success.

Disclosure

The authors report no conflicts of interest in this work.

References

  • 1.WHO. Cardiovascular diseases (CVDs). Fact sheet. World Health Organization, 2016. Available from: http://www.who.int/mediacentre/factsheets/fs317/en/. Accessed 2016.
  • 2.Ades PA, Keteyian SJ, Wright JS, et al. Increasing cardiac rehabilitation participation from 20% to 70%: a road map from the million hearts cardiac rehabilitation collaborative. Mayo Clin Proc. 2017;92(2):234–242. doi: 10.1016/j.mayocp.2016.10.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Alleman RJ, Stewart LM, Tsang AM, Brown DA. Why does exercise “trigger” adaptive protective responses in the heart? Dose-Response. 2015;13(1):1–19. doi: 10.2203/dose-response.14-023.Alleman [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Roh J, Rhee J, Chaudhari V, Rosenzweig A. The role of exercise in cardiac aging from physiology to molecular mechanisms. Circ Res. 2016;118:279–295. doi: 10.1161/CIRCRESAHA.115.305250 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Zouhal H, Jacob C, Delamarche P, Gratas-Delamarche A. Catecholamines and the effects of exercise, training and gender. Sports Med. 2008;38(5):401–423. doi: 10.2165/00007256-200838050-00004 [DOI] [PubMed] [Google Scholar]
  • 6.Calvert JW, Condit ME, Arago´n JP, et al. Exercise protects against myocardial ischemia–reperfusion injury via stimulation of B3-adrenergic receptors and increased nitric oxide signaling: role of nitrite and nitrosothiols. Circ Res. 2011;108:1448–1458. doi: 10.1161/CIRCRESAHA.111.241117 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Tavernier G, Toumaniantz G, Erfanian M, et al. B3-adrenergic stimulation produces a decrease of cardiac contractility 3 ex vivo in mice overexpressing the human B3-adrenergic receptor. Cardiovasc Res. 2003;59:288–296. doi: 10.1016/S0008-6363(03)00359-6 [DOI] [PubMed] [Google Scholar]
  • 8.Fukai T, Siegfried MR, Ushio-Fukai M, Cheng Y, Kojda G, Harrison DG. Regulation of the vascular extracellular superoxide dismutase by nitric oxide and exercise training. J Clin Invest. 2000;105:1631–1639. doi: 10.1172/JCI9551 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Pyke KE, Tschakovsky ME. The relationship between shear stress and flow-mediated dilatation: implications for the assessment of endothelial function. J Physiol. 2005;568(2):357–369. doi: 10.1113/jphysiol.2005.089755 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.ACSM. Exercise prescription in patients with cardiovascular disease In: Ehrman JK, dejong A, Sanderson B, Swain D, Swank A, Womack C, editors. ACSM’s Resource Manual for Guidelines for Exercise Testing and Prescription. Sixth ed Baltimore, Philadelphia: Wolters KLuwer, Lippincott Wiliams & Wilkins; 2010:559574 [Google Scholar]
  • 11.Corretti MC, Anderson TJ, Benjamin EJ, et al. Guidelines for the ultrasound assessment of endothelial-dependent flow-mediated vasodilation of the brachial artery. A report of the international brachial artery reactivity task force. J Am Coll Cardiol. 2002;39:257–265. [DOI] [PubMed] [Google Scholar]
  • 12.Harris RA, Nishiyama SK, Wray DW, Richardson RS. Ultrasound assessment of flow-mediated dilation. Hypertension. 2010;55:1075–1085. doi: 10.1161/HYPERTENSIONAHA.110.150821 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Spina RJ, Chi MM-Y, Hopkins MG, Nemeth PM, Lowry OH, Holloszy JO. Mitochondrial enzymes increase in muscle in response to 710 days of cycle exercise. J Appl Physiol. 1996;80(6):2250–2254. doi: 10.1152/jappl.1996.80.6.2250 [DOI] [PubMed] [Google Scholar]
  • 14.Talanian JL, Galloway SDR, Heigenhauser GJF, Bonen A, Spriet LL. Two weeks of high-intensity aerobic interval training increases the capacity for fat oxidation during exercise in women. J Appl Physiol. 2006;102(4):1439–1447. doi: 10.1152/japplphysiol.01098.2006 [DOI] [PubMed] [Google Scholar]
  • 15.Froelicher VF, Myers J. The physiologic response to the exercise Test In: Froelicher VF, Myers J, editors. Manual of Exercise Testing. Third ed Philadelphia: Mosby Elsevier; 2007:1–15. [Google Scholar]
  • 16.Naik AD, Kallen MA, Walder A, Street RL. Improving hypertension control in diabetes mellitus the effects of collaborative and proactive health communication. Circulation. 2008;117:1361–1368. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Kjaer M, Christensen NJ, Sonne B, Richter EA, Galbo H. Effect of exercise on epinephrine turnover in trained and untrained male subjects. J Appl Physiol. 1985;59(4):1061–1067. doi: 10.1152/jappl.1985.59.4.1061 [DOI] [PubMed] [Google Scholar]
  • 18.Goldstein DS, McCarty R, Polinsky RJ, Kopin IJ. Relationship between plasma norepinephrine and sympathetic neural activity. Hypertension. 1983;5:552–559. doi: 10.1161/01.HYP.5.4.552 [DOI] [PubMed] [Google Scholar]
  • 19.Greiwe JS, Hickner RC, Shah SD, Cryer PE, Holloszy JO. Norepinephrine response to exercise at the same relative intensity before and after endurance exercise training. J Appl Physiol. 1999;86(2):531–535. doi: 10.1152/jappl.1999.86.2.531 [DOI] [PubMed] [Google Scholar]
  • 20.Padilla J, Harris RA, Rink LD, Wallace JP. Characterization of the brachial artery shear stress following walking exercise. Vascular Med. 2008;13:105–111. doi: 10.1177/1358863x07086671 [DOI] [PubMed] [Google Scholar]
  • 21.Boo YC, Jo H. Flow-dependent regulation of endothelial nitric oxide synthase: role of protein kinases. Am J Physiol Cell Physiol. 2003;285:C499–C508. doi: 10.1152/ajpcell.00122.2003 [DOI] [PubMed] [Google Scholar]
  • 22.Harrison DG, Widder J, Grumbach I, Chen W, Weber M, Searles C. Endothelial mechanotransduction, nitric oxide and vascular inflammation. J Intern Med. 2006;259:351–363. doi: 10.1111/j.1365-2796.2006.01621.x [DOI] [PubMed] [Google Scholar]
  • 23.Taşolar H, Eyyüpkoca F, Aktürk E, et al. Endothelial nitric oxide synthase levels and their response to exercise in patients with slow coronary flow. Cardiovasc J Afr. 2013;24:355–359. doi: 10.5830/CVJA-2013-072 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Muthusamy VR, Kannan S, Sadhaasivam K, et al. Acute exercise stress activates Nrf2/ARE signaling and promotes antioxidant mechanisms in the myocardium. Free Radic Biol Med. 2012;52(2):366–376. doi: 10.1016/j.freeradbiomed.2011.10.440 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Gounder SS, Kannan S, Devadoss D, et al. Impaired transcriptional activity of Nrf2 in age-related myocardial oxidative stress is reversible by moderate exercise training. PLoS One. 2012;7(9):e45697. doi: 10.1371/journal.pone.0045697 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.He F, Li J, Liu Z, Chuang -C-C, Yang W, Zuo L. Redox mechanism of reactive oxygen species in exercise. FrontPhysiol. 2016;7(486):1–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Landmesser U, Merten R, Spiekermann S, Bu¨ttner K, Drexler H, Hornig B. Vascular extracellular superoxide dismutase activity in patients with coronary artery disease. Relation to endothelium-dependent vasodilation. Circulation. 2000;101:2264–2270. doi: 10.1161/01.CIR.101.19.2264 [DOI] [PubMed] [Google Scholar]
  • 28.Djordjevic D, Cubrilo D, Zivkovic V, Barudzic N, Vuletic M, Jakovljevic V. Pre-exercise superoxide dismutase activity affects the pro/antioxidant response to acute exercise. Serbian J Exp Clin Res. 2010;11(4):147–155. [Google Scholar]
  • 29.Goto C, Higashi Y, Kimura M, et al. Effect of different intensities of exercise on endothelium-dependent vasodilation in humans. Role of endothelium-dependent nitric oxide and oxidative stress. Circulation. 2003;108:530–535. doi: 10.1161/01.CIR.0000080893.55729.28 [DOI] [PubMed] [Google Scholar]
  • 30.Ramos JS, Dalleck LC, Tjonna AE, Beetham KS, Coombes JS. The impact of high-intensity interval training versus moderate-intensity continuous training on vascular function: a systematic review and meta-analysis. Sports Med. 2015;45(5):679–692. doi: 10.1007/s40279-015-0321-z [DOI] [PubMed] [Google Scholar]
  • 31.Tjønna AE, Lee SJ, Rognmo Ø, et al. Aerobic interval training versus continuous moderate exercise as a treatment for the metabolic syndrome. A pilot study. Circulation. 2008;118:346–354. doi: 10.1161/CIRCULATIONAHA.108.772822 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Laughlin MH, Newcomer SC, Bender SB. Importance of hemodynamic forces as signals for exercise-induced changes in endothelial cell phenotype. J Appl Physiol. 2008;104:588–600. doi: 10.1152/japplphysiol.01096.2007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Banquet S, Delannoy E, Agouni A, et al. Role of Gi/o-Src kinase-PI3K/Akt pathway and caveolin-1 in B2-adrenoceptor coupling to endothelial NO Synthase in mouse pulmonary artery. Cell Signal. 2011;23:1136–1143. doi: 10.1016/j.cellsig.2011.02.008 [DOI] [PubMed] [Google Scholar]
  • 34.Tank AW, Wong DL. Peripheral and central effects of circulating catecholamines. Compr Physiol. 2015;5:1–15. doi: 10.1002/cphy.c140007 [DOI] [PubMed] [Google Scholar]
  • 35.Sato A, Terata K, Miura H, et al. Mechanism of vasodilation to adenosine in coronary arterioles from patients with heart disease. Am J Physiol Heart Circ Physiol. 2005;288:H1633H1640. doi: 10.1152/ajpheart.00575.2004 [DOI] [PubMed] [Google Scholar]
  • 36.Zoladz JA, Majerczak J, Duda K, Chopicki S. Exercise-induced prostacyclin release positively correlates with VO2max in young healthy men. Physiol Res. 2009;58:229–238. [DOI] [PubMed] [Google Scholar]
  • 37.Sausbier M, Schubert R, Voigt V, et al. Mechanisms of NO/cGMP-Dependent Vasorelaxation. Circ Res. 2000;87:825–830. doi: 10.1161/01.RES.87.9.825 [DOI] [PubMed] [Google Scholar]
  • 38.Jiang Q, Ding S, Wu J, Liu X, Wu Z. Norepinephrine stimulates mobilization of endothelial progenitor cells after limb ischemia. PLoS One. 2014;9(7):e101774. doi: 10.1371/journal.pone.0101774 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Yu W, Gu Y, Chen P, et al. Norepinephrine stimulation downregulates the β2-adrenergic receptor–nitric oxide pathway in human pulmonary artery endothelial cells. J Cell Physiol. 2019;234(2):1842–1850. doi: 10.1002/jcp.27057 [DOI] [PubMed] [Google Scholar]
  • 40.Kou R, Michel T. Epinephrine regulation of the endothelial nitric-oxide synthase: roles of RAC1 and beta3-adrenergic receptors in endothelial NO signaling. J Biol Chem. 2007;282:32719–32729. doi: 10.1074/jbc.M706815200 [DOI] [PubMed] [Google Scholar]
  • 41.Ramel A, Wagner K-H, Elmadfa I. Correlations between plasma noradrenaline concentrations, antioxidants, and neutrophil counts after submaximal resistance exercise in men. Br J Sports Med. 2004;38:e22. doi: 10.1136/bjsm.2003.007666 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Leclerc KM, Levy WC. The role of norepinephrine in exercise impairment in congestive heart failure. CHF. 2003;9:25–28. doi: 10.1111/j.1527-5299.2002.00948.x [DOI] [PubMed] [Google Scholar]
  • 43.Opie LH. Control of the circulation In: Weinberg RW, Bersin J, Aversa F, editors. Heart Physiology. From Cell to Circulation. 4 ed ed. Philadelphia: Lippincott Williams & Wilkins; 2004:16–41. [Google Scholar]
  • 44.Rozec B, Gauthier C. β3-Adrenoceptors in the cardiovascular system: putative roles in human pathologies. Pharmacol Ther. 2006;111:652–673. doi: 10.1016/j.pharmthera.2005.12.002 [DOI] [PubMed] [Google Scholar]

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Data Citations

  1. WHO. Cardiovascular diseases (CVDs). Fact sheet. World Health Organization, 2016. Available from: http://www.who.int/mediacentre/factsheets/fs317/en/. Accessed 2016.

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