Hypermetabolism in the Elderly Lung Cancer Patient
- Conditions
- Non-small Cell Lung Carcinoma
- Registration Number
- NCT03141957
- Lead Sponsor
- University of Paris 5 - Rene Descartes
- Brief Summary
Aging and cancer are two conditions associated with extensive metabolic changes that can cause malnutrition. However, the clinical features and the underlying mechanisms leading to malnutrition are different in these two cases. We therefore wonder how age can influence the metabolic response to cancer.
- Detailed Description
During aging, among other physiological modifications, inactivity and insulin resistance cause a progressive muscle loss associated with a decrease in resting energy expenditure (REE). In cancer, loud inflammation background also provokes a decrease in muscle mass as well as in fat mass. However, previous studies reported an increased REE, termed hypermetabolism, probably linked to inflammation.
Data concerning response to aggression in the elderly patient is scarce and even inexistent when it comes to cancer. The investigators hypothesize that the mitochondrial dysfunction that comes with aging and that decreases the ATP rendering per unit of energy-producing nutrient oxidized increases the amount of nutrient to be consumed in order to sustain to energy needs. Therefore, in this situation, elderly patients could have a higher rate or degree of hypermetabolism than younger patients.
The primary objective of this study is to assess the effect of aging on the metabolic response to cancer assessed by resting energy expenditure measured by indirect calorimetry corrected by whole body fat free mass calculated from single slice CT imaging at the third lumbar vertebra.
The secondary objective of this study is to point out some inflammatory or endocrine determinants of these energy metabolism changes in the cancer patient.
Non-small cell lung carcinoma seems to be a relevant choice for this study because it is frequently associated with cachexia and the literature reports a high rate of hypermetabolism in this cancer.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 27
- Non-small cell lung carcinoma
- Imbalanced Diabetes
- Imbalanced dysthyroidia
- Surgery within two month prior inclusion
- Any chronic auto-immune or inflammatory disease
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Measured resting energy expenditure (mREE) in kilocalorie per day Day 0 Energy expenditure is measured by indirect calorimetry.
- Secondary Outcome Measures
Name Time Method Blood C-Reactive Protein in milligram per milliliter Day 0 Inflammatory status
Blood Interleukine-6 in picogram per milliliter Day 0 Inflammatory status
Albumin in gram per liter Day 0 Nutritional Satus
Blood ultra-sensitive Thyroid Stimulating Hormone in milliunit per liter Day 0 Endocrine Status - Thyroid Function
Blood Insulin-like Growth Factor 1 in nanogram per liter Day 0 Endocrine Status - Somatotropic axis
Blood Tumor Necrosis Factor alpha in picogram per milliliter Day 0 Inflammatory status
Blood Insulin in milliunit per liter Day 0 Endocrine Status - Glucose Homeostasis
Blood Glucose in millimole per liter Day 0 Endocrine Status
Homeostasis Model assessment of Insulin resistance Day 0 Aggregates blood Insulin and glucose level as an insulin resistance score
Lean Body Mass in kilogram Day 0 Estimated from muscular area at the third lombular vertebra from CT-scan
energy intake in kilocalorie per day Day 0 Estimated by a qualified dietetican
Transthyretin in gram per liter Day 0 Nutritional Satus
Predicted resting energy expenditure (HB) in kilocalorie per day Day 0 REE estimated with Harris \& Benedict Formula
Percentage of estimated energy expenditure Day 0 Percentage of HB : (mREE/HB) x 100
Trial Locations
- Locations (1)
Hopital Cochin
🇫🇷Paris, France