Global longitudinal strain emerged as an important predictive marker that could be assessed during echocardiography. It enabled the detection of subclinical myocardial systolic dysfunction, without observable reductions in cardiac output or left ventricular ejection fraction, often years before diabetes induced heart failure. In asymptomatic T2D patients with no history of cardiovascular disease, an impaired global longitudinal strain is a predictor of future adverse left ventricular remodeling and adverse cardiovascular events. Exercise training is a promising intervention to interfere in the diabetes induced heart failure pathophysiology. However, the impact of different exercise modalities (e.g. intensity and volume) on the global longitudinal strain in type 2 diabetes (T2D) is unknown.
More than 400 million people worldwide are affected by diabetes mellitus whose prevalence keeps increasing. In type 2 diabetes mellitus (T2DM), up to 23% of the patients have asymptomatic diastolic and 13% systolic cardiac dysfunction. Diabetes-induced heart failure (DIHF), with reduced or preserved ejection fraction, is thus one of the major complications of T2DM, which is characterized by structural and functional changes in the myocardium in absence of coronary artery disease, other cardiac pathologies or hypertension. These changes significantly affect prognosis: patients with DIHF are at a 147% elevated risk for premature death within 4 years vs. 29% in patients without DIHF. It is thus of the utmost importance to prevent the development of DIHF. Although the exact mechanisms are not fully understood, hyperglycemia, hyperinsulinemia and hyperlipidemia are considered as key risk factors, but also oxidative and dicarbonyl stress, advanced glycation end products (AGEs) and inflammation play an important role in the pathophysiology of DIHF. To prevent adverse cardiac remodeling in T2DM and the development of DIHF, early biomarkers are mandatory. In this respect, in the past few years global longitudinal strain (GLS) emerged as an important predictive marker that could be assessed during echocardiography: the global longitudinal strain enables the detection of subclinical myocardial systolic dysfunction, without observable reductions in cardiac output or left ventricular ejection fraction, often years before DIHF. In asymptomatic T2DM patients with no history of cardiovascular disease, an impaired GLS is a predictor of future adverse left ventricular (LV) remodeling and adverse cardiovascular events, thus providing incremental prognostic value beyond clinical data, glycated hemoglobin (HbA1c) and diastolic function. The investigators found that GLS is indeed significantly lowered (by ±14%, at rest and during low-intense and high-intense exercise, in asymptomatic well-controlled T2DM patients (HbA1c: 6.9±0.7%). During exercise, GLS increases in T2DM, but fails to normalize when compared with healthy controls. In contrast to current assumption, the investigators' data demonstrate that a disturbed GLS is highly common in T2DM patients. Exercise training is strongly recommended to T2DM patients, and is a crucial treatment next to medication and diet, as this (further) optimizes glycemic control by improving insulin sensitivity, next to the positive impact on physical fitness, blood pressure, lipid profile and body composition. Recent evidence also indicates a significantly lowered mortality in habitual physically active vs. non-active T2DM patients (hazard ratio=0.61). What type of exercise is most effective? What remains debatable is whether exercise intervention can prevent the development of DIHF in asymptomatic T2DM patients. According to a recent systematic review from the investigators' laboratory, the impact of exercise intervention on GLS in asymptomatic T2DM is equivocal: significant improvements from some studies could not be reproduced in other. In line with these findings, the investigators' unpublished pilot data also reveal the capability of exercise training to improve GLS in some T2DM patients. The investigators' data show the potency of exercise in preventing DIHF in asymptomatic T2DM patients, but they also show that crucial aspects deserve further study to maximize the benefits of exercise training on GLS in T2DM patients, and hereby to offer maximal protection against the development of DIHF. The impact of different exercise modalities (e.g. intensity, volume) on GLS in T2DM patients is currently unknown. In the only clinical study that examined T2MD patients to date, results show that high-intense interval training is more effective to improve GLS, as opposed to moderate-intense exercise training. However, the study is biased due to the lack of supervision in the moderate-intense trained group and the lack of control for equal caloric expenditure between training groups. Therefore, it is likely that differences in exercise volume could be at the basis of different changes in GLS between groups. Indeed, the investigators' pilot data, in which iso-caloric interventions were compared, show different results: moderate-intense exercise training seems more potent to improve GLS, as opposed to high-intense interval training. As a result, although there is evidence that exercise training improves GLS in T2DM patients, it remains to be studied whether different volumes or intensities are of key importance. Despite following identical exercise interventions, studies and the investigators' pilot data also show significant inter-subject variances in changes in GLS. Therefore, the impact of the patient's phenotype, as well as habitual physical activity (PA) and dietary habits, on the effects of exercise training on GLS in T2DM patients is currently unknown. Revealing which (non-)modifiable patient-related factors (e.g. phenotype, habitual PA and dietary habits) predict the responsiveness of GLS to exercise intervention in T2DM patients may lead to a more patient-specific application of such intervention or further tailoring of the intervention.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
DOUBLE
Enrollment
182
Exercise on bicycle ergometer
Faculty of Rehabilitation Sciences and Physiotherapy, Hasselt University
Hasselt, Belgium, Belgium
Faculty of Movement and Rehabilitation Sciences
Leuven, Belgium, Belgium
mPAP/CO and mPAP/CO slope
* Mean pulmonary artery pressure by cardiac output and by cardiac output slope * mPAP/CO slope will be calculated via measurement of LVOTdiameter, LVOT VTI and sPAP at three timepoints during exercise echocardiography. These timepoints are: rest, low intense exercise (HR\<100 before fusion of early and late mitral inflow (E \& A)), and high-intense exercise (RER 1.02-1.05).
Time frame: at baseline and 6 months
Global longitudinal strain (%)
Cardiac function evaluation by echocardiography at rest
Time frame: at baseline and 6 months
Fasted Blood draw
lipid profile (HDL, LDL, triglicerides, free fatty acids, total cholesterol) glycemic profile (Hba1c, fasting glucose and insulin) kidney function (eGFR, creatinine)
Time frame: baseline, 3m and 6m
Cardiopulmonary exercise testing on a bicycle
Peak CPET values: Load, HR, VE, Bf, SBP, DBP, VO2, VCO2, RER, VE/VCO2, VE/VO2, SpO2, PETCO2, PETO2, BR
Time frame: baseline, 3m and 6m
Rest and exercise echocardiography
Supine resting echocardiography * Structure (LVOTd, IVSd, LVEDD, PWd, RWT, LVMI) * Function (LVOT VTI, LVEDV biplane, LVESV biplane, Evel, A vel, e\' sep, e\' lat, VCI exp, VCI ins, RAP, TR velocity, TRPG, PASP, GLS, TAPSE, LAVI) Semisupine exercise echocardiography at rest, low-intensity exercise (HR\<100) and high-intensity exercise (RER 1.2-1.05) \- Function (LVOT VTI, RVAd, RVAs, TAPSE, MAPSE, LVEDV biplane, LVESV biplane, LVEF, Evel, Avel, e\'sep, e\'lat, LV s\'sep, LV s\'lat, RV s\' sep, TRPG, RAP, SV, CO, GLS Pulmonary circulation mPAP rest, mPAP low-intensity, mPAP high-intensity, mPAP/CO, mPAP/CO slope
Time frame: baseline and 6m
Physical activity via Actigraph wGT3X-BT
PA measurement during waking hours in the period of 7 days with minimal valid time of 2 week and 2 weekend days. Total volume of PA is calculated via vector magnitude after raw data processing via GGIR script in Rstudio. Calculation of average steps/day is performed via Actilife software v6.13.5.
Time frame: baseline, 3 and 6 months
Body composition (%fat) via bioelectrical impedance
Measurement of % lean and fat-mass via Bodystaat 1500 device Other variables: * waist circumference via cm tape on the level of umbilicus * hip circumference via cm tape on the level of major trochanter * body mass via analog scale * body height via vertical cm tape
Time frame: baseline, 3 and 6m
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