Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT04614181 |
Other study ID # |
2020629-8833 56379 |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
November 4, 2020 |
Est. completion date |
December 30, 2021 |
Study information
Verified date |
May 2022 |
Source |
University of Malaya |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
Pre-operative carbohydrate and protein loading among older people with hip fractures could
potentially influence patient outcomes. This mode of intervention has seen good outcomes in a
general surgical setting as part of its enhanced recovery pathway. However, its effectiveness
and ease of implementation in a hip fracture setting is uncertain. This study aims to study
the feasibility of protein and carbohydrate loading as part of hip fracture management
compared to usual care.
Description:
INTRODUCTION AND BACKGROUND
Pre-operative carbohydrate loading is one of the many components of enhanced recovery after
surgery (ERAS) protocol. It has been identified as one of the independent predictors among
ERAS components to improve peri-operative well-being and reduce post-operative complications.
While well-being is a subjective outcome, several surrogate outcomes have been used to
quantify some of the aspects. These surrogate outcomes of well-being include post-operative
nausea and vomiting, pain, and preservation of muscle strength.
Although the exact mechanism of how pre-operative carbohydrate loading improves these
outcomes is unclear, there appears to be an anabolic effect by increasing insulin
sensitivity, improving glucose control and reducing catabolism. Patients in anabolic state
undergo less post-operative nitrogen and protein loss, which translates to preservation of
muscle strength. Carbohydrate loading keeps the body in a fed state during the fasting period
before surgery. This abolishes the starvation effects which causes reduced insulin
sensitivity commonly seen with conventional fasting practice. This is an independent
predictor which prolongs length of hospital stay, preservation of muscle mass and handgrip
strength post-operatively.
While most studies have demonstrated benefits of carbohydrate loading in patients undergoing
abdominal surgeries, the number of studies conducted in the orthopedic hip fracture
population are limited. In addition, there may also be barriers to introducing a new protocol
with carbohydrate loading to replace the existing conventional fasting practice. Studies
showed diverse feasibility in terms of implementation, which seemed to be multifactorial.
More studies are therefore required to identify the factors promoting or impeding such a
practice in respective centres. Given that a significant number of the hip fracture
population are malnourished elderly who may benefit from this intervention, the gap in
literature in this population deserves a thorough attention.
The University Malaya Medical Centre is a tertiary hospital with an average of 200 hip
fracture cases annually. To date, these cases are subjected to conventional fasting starting
from midnight. They are usually fasted up to extended hours, putting them in a starved state
before surgery. It is therefore the great interest of the current multidisciplinary teams
involved in the clinical care of hip fracture patients to introduce carbohydrate loading as
part of the fasting practice. This study aims to introduce the concept and assess the
feasibility of such a practice. The results from this pilot study may be used to
revolutionize the fasting practice in our hospital.
OBJECTIVE
Primary objective
1. To study the feasibility of implementing pre-operative carbohydrate loading in patients
undergoing hip surgery
2. To study the safety of pre-operative carbohydrate loading in patients undergoing hip
surgery
Secondary objective
1. To evaluate the effect of pre-operative carbohydrate loading among patients undergoing hip
fracture surgery
METHODS
This is a pilot study to collect data on feasibility of implementing carbohydrate loading
before orthopaedic hip fracture surgery. It is also an open labelled, randomized controlled
study to identify correlation between pre-operative carbohydrate loading and surrogate
outcomes of well-being. A computer generated randomization method will be used to allocate
participants to each arm (intervention vs control) on a 1:1 ratio basis. The randomization
allocation will be revealed after consent and baseline assessment.
The amount of carbohydrate load required to induce an effect must be enough to shift the body
from a fasted to a fed state. A 50g oral carbohydrate ingestion has been shown to stimulate
insulin release resembling post-prandial state. Therefore, the ERAS society recommendation is
based on the following dose: a loading dose of 100g carbohydrate the day before surgery (as
glycogen store) followed by a 50g dose 2 hours before surgery (to keep patients in a fed
state).
In our study, the intervention group will receive the carbohydrate beverage (Nestle
RESOURCE). Each serving is 237ml containing 53.6g of carbohydrate and 9g of protein.
Intervention group will consume two servings of the carbohydrate beverage (53.6g each, total
of approximately 100g) on the day before surgery and one serving 6 hours prior to scheduled
surgery time. The control group will receive usual hip fracture care as determined by the
clinical team.
SAMPLE SIZE
For this pilot study, a sample size of 40 is targeted. 20 will be randomized to the
intervention group receiving the supplement drink, while 20 will be randomized to the control
group who will not be receiving any supplements. No formal sample size calculation was used.
One of the objectives of this feasibility study is to provide estimates of recruitment and
retention rates for a larger study. The number of participants for this study will be
determined by resources and the recruitment period.
ANALYSIS
Baseline demographic data will be presented as mean ± SEM. Feasibility outcomes will be
reported as numbers and percentages. Descriptive statistics (mean, standard deviation, and
median for continuous variables; frequencies and percentages for categorical variables) will
be calculated separately by group. For the group comparison, appropriate tests based on their
distribution will be performed.