| Literature DB >> 30815618 |
Rikke Steen Krawcyk1,2, Anders Vinther1,3, Nicolas Caesar Petersen4, Jens Faber5, Rasmus Hvass Hansen6, Egill Rostrup7, Christina Kruuse2.
Abstract
BACKGROUND: The effects of physical exercise in patients with lacunar stroke, seem promising in secondary prevention and only few studies have investigated the effect of high-intensity interval training in patients with lacunar stroke. This study will be investigating whether high-intensity interval training improves cardiovascular fitness as well as cognitive- and endothelial function and potentially attenuating the risk of recurrent stroke.Entities:
Keywords: High-intensity interval training; Lacunar stroke; Risk factors; Secondary prevention
Year: 2019 PMID: 30815618 PMCID: PMC6378897 DOI: 10.1016/j.conctc.2019.100332
Source DB: PubMed Journal: Contemp Clin Trials Commun ISSN: 2451-8654
Fig. 1HITPALS-trial, Work flowchart.
Outcome assessments.
| Outcomes | Abbreviation/device | Function |
|---|---|---|
| Primary outcome | ||
| Power output in Watts from the Graded Cycling Test with Talk Test | GCT with TT | Submaximal aerobic exercise test |
| Secondary outcomes | ||
| Endothelial response | EndoPAT2000 | Endothelial function |
| Physical Activity Scale | PAS2 | Self-rated physical activity |
| Axivity | AX3 | Accelerometer monitoring physical activity |
| Mental well-being | WHO-5 Well-Being Index | Self-reported mental well-being |
| Montreal Cognitive Assessment | MoCA | Assessment of cognitive function |
| Major Depression Inventory | MDI | Self-reported depression symptoms |
| Multidimensional | MFI-20 | Self-reported fatigue symptoms |
| Fatigue Inventory | ||
| Chronic stress | Ull-Meter | Objective measurement of the body and mind’s state of stress |
| Vascular risk factors: | ||
| Blood pressure (resting) | BP | Systolic and diastolic blood pressure |
| Blood samples | BS | Measure of total cholesterol/ high-density lipoprotein ratio, cardiovascular biomarkers, inflammatory biomarkers and endothelial biomarkers |
| Body Mass Index | BMI | Quantify the amount of tissue mass (muscle and fat) |
| MRI scan | MRI | Changes in brain structure after 12 months (regarding infarcts, white matter lesions, micro bleeds) |
List of routine blood samples.
| Category | Name of blood sample | Units |
|---|---|---|
| Hematology | Hemoglobin | mmol/L |
| Electrolytes | P-Glucose | mmol/L |
| Proteins | P-Albumin | g/L |
| Enzymes | P-Creatine | U/L |
| Hemostasis | P-Coagulation factors (APTT) | S |
| S | ||
| Endocrinology | Glucose (HbA1c) | mmol/L |
| Lipids | P-Cholesterol | mmol/L |
P: plasma, U/L: units/litre, S: Seconds.
Order and type of MRI-sequences.
| Sequence order | MRI-sequence | Purpose | MRI parameters |
|---|---|---|---|
| 1 | T1W 3D gradient seq. (GRE). (sagittal – S) | First seq. merely for planning purposes | TR/TE (ms) 25/1.68 |
| 5 | Fluid Attenuated Inversion Recovery (FLAIR) | For delineation of white matter lesions, hyperintensities corresponding to leukoaraiosis (Ax) | TR/TE 11000/2800 |
| 6 | Diffusion Tensor Imaging seq. (Ax) | For 3D indication of neural bundles and DWI assistance in the radiological assessment | TR/TE 11000/2800 |
| 7 | Pseudo-continuous Arterial Spin Labelling (PCASL) (Ax) | For the assessment of tissue perfusion (resting-state CBF) | TR/TE 4040/17 |
| 8 | T1W 3D GRE with flip angle (FA) 7 (Ax) | Used to give a rough estimate of the tissue T1 time, which is a parameter in the perfusion model (Patlak) applied to the DCE data | TR/TE 25/1.88 |
| 10 | DCE | To gauge blood-brain barrier permeability. | TR/TE 25/2.2 |