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| Name | Class |
|---|---|
| University of Brasilia | OTHER |
| University of Bern | OTHER |
| Universitaire Ziekenhuizen KU Leuven | OTHER |
| University of Siena |
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The aim of the current study was to develop an algorithm which has the ability to accurately predict the first and second ventilatory threshold and in cardiovascular disease patients and to guide in proper exercise intensity determination. This would then help, at least in part, to overcome the lack of access to metabolic carts or cardiopulmonary exercise test, and/or methodological difficulties with ventilatory threshold determination in these patients.
Design
This study is composed out of two sub studies: 1. Generation/creation of VT prediction algorithm, and 2. Validation of this algorithm in independent laboratories.
Sub study 1: Generation/creation of VT prediction algorithm
From April 2015 up to July 2020, data from CVD (risk) patients (e.g. obesity, diabetes, coronary artery disease or heart failure) were collected from in light of research studies. All participants signed an informed consent explaining the nature and risks of CPET, and allowing us to use anonymized data for the analyses of their CPET at entry of cardiovascular rehabilitation or an exercise intervention. These data have been published in previous publications.
Sub study 2: Validation of the algorithm in independent laboratories
From April 2015 up to July 2020, data from CVD (risk) patients (e.g. obesity, diabetes, coronary artery disease or heart failure) were collected in light of research studies. All participants signed an informed consent (approved by the ethics committees of the local hospitals or research laboratories) explaining the nature and risks of CPET, and allowing us to use anonymized data for the analyses of their CPET at entry of CR or an exercise intervention. These data have been published in previous publications
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| Measure | Description | Time Frame |
|---|---|---|
| Duration during cardiopulmonary exercise testing | Test duration (min) | Baseline - day 1 |
| Workload during cardiopulmonary exercise testing | Peak workload (watt) | Baseline - day 1 |
| Heart rate during cardiopulmonary exercise testing | Peak heart rate (bpm) | Baseline - day 1 |
| Oxygen uptake during cardiopulmonary exercise testing | Maximal oxygen uptake (ml/kg/min) | Baseline - day 1 |
| Heart rate in rest during cardiopulmonary exercise testing | Resting heart rate (bpm) | Baseline - day 1 |
| Measure | Description | Time Frame |
|---|---|---|
| Hypertension (in mmHg) | Blood pressure measurement with a automatic blood pressure cuff. | Baseline |
| Dyslipdemia (in mg/dl) | Blood lipid concentration in mg/dl |
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Inclusion Criteria:
Exclusion Criteria:
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From April 2015 up to July 2020, data from CVD (risk) patients (e.g. obesity, diabetes, coronary artery disease or heart failure) were collected from Jessa hospital, Hasselt, Belgium, and Hasselt university, Faculty of Rehabilitation Sciences, Hasselt, Belgium, in light of research studies. All participants signed an informed consent (approved by the ethical committees of Jessa hospital Hasselt and/or Hasselt University) explaining the nature and risks of CPET, and allowing us to use anonymized data for the analyses of their CPET at entry of CR or an exercise intervention
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| Name | Affiliation | Role |
|---|---|---|
| Dominique Hansen, Prof.dr | Hasselt University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Hasselt University | Diepenbeek | Limburg | 3590 | Belgium |
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| ID | Term |
|---|---|
| D002318 | Cardiovascular Diseases |
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| OTHER |
| Technical University of Munich | OTHER |
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| Baseline |
| Diabetes (mg/dl) | Glucose concentration in the blood in mg/dl | Baseline |
| Obesity | Presence of obesity determined by the BMI (see below) | Baseline |
| Smoking | Presence of smoking by questionnaire (yes/no) | Baseline |
| Medication intake | Information regarding medication intake will be retrospectively extracted by personal communication with the subject | Baseline |
| Cardiovascular surgery | Information regarding cardiovascular surgery will be extracted by personal communication with the subject | Baseline |
| Age in years | Age in years will be retrospectively extracted from the databank | Baseline |
| Gender (m/f) | Gender in m/f will be retrospectively extracted from the databank | Baseline |
| Length in meters | Length in meter will be retrospectively extracted from the databank | Baseline |
| Weight in kg | Weight in kg will be retrospectively extracted from the databank | Baseline |
| BMI (kg/m^2) | Weight (in kg) and height (in m) will be combined to assess BMI (in kg/m^2) | Baseline |