Clinical Trial Details
— Status: Completed
Administrative data
| NCT number |
NCT01472679 |
| Other study ID # |
11-161R |
| Secondary ID |
|
| Status |
Completed |
| Phase |
|
| First received |
|
| Last updated |
|
| Start date |
October 2016 |
| Est. completion date |
December 2019 |
Study information
| Verified date |
November 2023 |
| Source |
University Hospital, Geneva |
| Contact |
n/a |
| Is FDA regulated |
No |
| Health authority |
|
| Study type |
Observational
|
Clinical Trial Summary
The purpose of this study is to evaluate whether body composition is associated with a higher
risk of mortality in subjects ≥ 65 years.
Description:
Study centre: University Hospitals of Geneva Study type: retrospective study Study duration
(anticipated): 1 year for collection of data(1.10.2011-1.12.2012)and 3 months for statistical
analysis and writing, leading to the completion of the study by march 2013 Study hypothesis:
A low fat-free mass (FFM) and a high fat mass (FM) are associated with a higher risk of
mortality in subjects ≥ 65 years.
Aims: The primary objective is to evaluate the relationship between body composition and
mortality in men and women ≥ 65 years, while taking into account co-morbidities. The
secondary objectives are to compare this relationship a) with the relationship of body mass
index (BMI) and mortality, b) with the relationship of body composition changes and
mortality, c) between healthy subjects and subgroups of patients with chronic diseases
Methods: Included are all subjects who had a measurement of body composition by bioelectrical
impedance analyses, performed in the HUG from 1990 until december 2011. Excluded are subjects
living abroad. Body composition measurements will be retrieved from DPI and 4D which preceded
the use of DPI in nutrition and is presently only used for research. Diseases and specific
laboratory values at time of body composition measurement will be retrieved simultaneously.
Mortality will be retrieved from the population registers for death.
Statistics: The relationship between body composition and mortality, in the total population
and subgroups of patients with chronic diseases, will be evaluated by Cox regression,
adjusted for age, gender and co-morbidities. The variance of mortality (adjusted R2) related
to FFM will be compared to that related to BMI and FFM loss.