T70.2
Conditions
Interventions
Group 1: For the study, healthy subjects with minor, non-study-relevant medical conditions will be recruited. Non-invasive measurement methods will be used to assess performance capacity at low altitu
Sponsors
Medizinische Klinik und Poliklinik V, LMU Klinikum
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: Healthy participants with non-study-related, minor conditions (e.g., stable, treated hypothyroidism, orthopedic complaints).
Exclusion criteria
Exclusion criteria: Fear of riding cable cars, clinically manifest heart disease (e.g., coronary artery disease), relevant pulmonary diseases, or other serious conditions with the risk of acute deterioration.
Design outcomes
Secondary
| Measure | Time frame |
|---|---|
| Pulmonary diagnostics include lung function testing (ventilatory parameters, diffusion capacity), blood gas analysis (pO2, pCO2, acid-base balance), blood sampling (e.g., NT-proBNP, endothelin, differential blood count), exhalate analysis (FeNO, CO2), oscillography, and shunt measurement. Cardiac diagnostics involve echocardiography and vascular ultrasound (e.g., LVEF, sPAP, TR Vmax, pulmonary fluid), blood sampling (e.g., NT-proBNP), ECG (electrical conduction changes, especially under exertion), and heart rate variability measurement (e.g., via smartwatch). Hemodynamic diagnostics include continuous noninvasive arterial pressure monitoring (stroke volume, cardiac output, pulse wave analysis), blood pressure measurements, and heart rate determination. Fluid balance analysis comprises bioimpedance analysis to assess body composition and its changes, urine analysis (e.g., urine osmolality, proteinuria, urinary electrolytes), and blood sampling for electrolyte changes. Metabolic analysis includes blood sampling (e.g., bicarbonate, pH, lactate), dietary intake logging, and exhalate analysis. Sleep analysis consists of polygraphy or polysomnography (e.g., AHI, desaturation index). | — |
Primary
| Measure | Time frame |
|---|---|
| The aim of the study is to characterize the performance of healthy subjects under conditions of hypobaric hypoxia during real or simulated altitude exposure using non-invasive measurement methods (VO2max, max. watt, delta watt/HR). | — |
Countries
Germany
Contacts
Public ContactJeremias Götschke
Medizinische Klinik und Poliklinik V, LMU Klinikum
Outcome results
None listed