Cachexia, Cancer
Conditions
Brief summary
The study purpose is to measure REE by indirect calorimetry and to determine limits of agreement with confidence intervals between measured REE and predictive equations for determination of energy requirements in patients with incurable cancer. Clinical factors associated with hyper- and hypometabolism will be elucidated. Data will be obtained from patient journals in combination with measurements of REE and registration of survival. Data will be collected at one timepoint and survival will be monitored prospectively.
Interventions
None listed
Sponsors
Norwegian University of Science and Technology
St. Olavs Hospital
UiT The Arctic University of Norway
Study design
Observational model
OTHER
Time perspective
OTHER
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* A verified diagnosis of an incurable malignant disease * Hospitalized at the Cancer clinic, St. Olavs Hospital * ≥ 18 years of age * Able to provide written informed consent * Able to comply with all study procedures
Exclusion criteria
* Cognitive impairment * In need of supplementary oxygen * Receiving invasive or noninvasive ventilation
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Measurement of resting energy expenditure (REE) in patients with incurable cancer measured with the COSMED Q-NRG+ Indirect Calorimeter with a Canopy Hood. | Throughout study completion, approximately 3 years. | Investigate the agreement between the most used energy expenditure prediction equation (Harris-Benedict calculation for resting energy expenditure based on weight, height and gender) and measured REE (kilocalories/day) by indirect calorimetry in patients with incurable cancer. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Clinical factors associated with hyper- and hypometabolism | Throughout study completion, approximately 3 years. | Explore the association between patients identified as hyper-or hypometabolic (REE \> 10% or \< 10% of the predicted BMR (in kilocalories per day)) and a set of explanatory variables such as cancer diagnosis (type), weight loss last six months ((current/past weight)\*100), symptom score (Edmonton Symptom Assessment System (ESAS)), degree of inflammation (CRP in mg/L), and survival (days after REE measurement). |
Countries
Norway
Outcome results
None listed