Anterior Cruciate Ligament Injury Clinical Trial
Official title:
Light Load Blood Flow Restriction Versus Heavy Load Resistance Training in the Post-operative Rehabilitation of Anterior Cruciate Ligament Reconstruction Patients
This study is examining the post-operative rehabilitation of anterior cruciate ligament (ACL) reconstruction patients within the National Health Service (NHS). It will compare the effectiveness of two resistance training protocols, light load blood flow restriction (BFR) training and heavy load training, on improving multiple aspects important to the rehabilitation process in this patient demographic, whilst also examining the feasibility of this novel training modality. It is hypothesised that light load BFR training will be equally effective as heavy load training, but more tolerable for patients.
Light load BFR training is an effective rehabilitation tool for improving strength in
individuals suffering clinical muscle weakness (Hughes et al. 2017). This is a single
blinded, randomised controlled clinical trial, comprised of a two (group) by five (time)
between-subjects repeated measures design. This study will place within the NHS at University
College London Hospital (UCLH). Eligible patients from the orthopaedic department theatre
lists of four orthopaedic surgeons at UCLH will be contacted prior to surgery via phone call
and sent the patient information sheet and schematic outlining the study. Patient clinical
history and documentation will be screened initially by the principle researcher followed by
screening over the phone upon contact. Patients who are willing to participate will then be
invited to the hospital for a full health screening appointment following provision of
written informed consent, in compliance with the Declaration of Helsinki, 7th version,
October 2013.
Baseline assessment of all outcome measures will take place at the pre-surgery screening
appointment. Patient will then undergo their surgery. Following two weeks of recovery, repeat
assessment of outcome measures will take place once patients achieve the following criteria
for beginning strength rehabilitation, as developed by Cavanaugh and Powers (2017): 1) Able
to unilaterally weight bear without pain; 2) Able to perform a single leg raise without
quadriceps lag; 3) Have a range of motion (ROM) of 0-90 degrees; and 4) Have minimal
swelling. Patients will then be allocated to one f the two training intervention groups and
undergo eight weeks of twice weekly unilateral leg press training. Training sessions include
five minutes of light cycling at a free cadence on a stationary ergometer for both groups,
followed by the respective leg press protocols. Repeat assessment of outcome measures will
take place mid-training (between weeks four and five) and post-training. Ratings of perceived
pain and exertion, blood pressure and any adverse events will be recorded at all training and
assessment sessions. All outcomes will also be assessed at 3 and 6 month follow up
assessments. Pain will also be assessed 24 hours after every training session. During the
study, all participants will see their assigned physiotherapist fortnightly (as per standard
hospital protocol) and receive individualised programmes focussing on improving ROM, balance
and minimising swelling.
BFR will be achieved using the Delfi Easy-fit variable contour tourniquet cuff (11.5 cm x 86
cm x 5 mm) connected to the automatic personalised tourniquet system (PTS) device (Delfi
Medical, Vancouver, British Columbia, Canada). The Delfi PTS for BFR is equipped with the
capability of automatically measuring limb occlusive pressure (LOP) and calculating the
personalised tourniquet pressure, comprised of a dual-purpose personalised tourniquet cuff
and a personalised tourniquet instrument containing LOP calculation sensors and software. The
PTS system connected to the tourniquet cuff increases the cuff pressure in stepwise
increments, analyses the pneumatic pressure pulsations in the cuff bladder by the arterial
pressure pulsations at each cuff pressure increment, and uses these characteristics to
determine LOP.
The primary outcome measure of muscle strength was used for calculating the required sample
size. Based on previous data regarding muscle strength increases in light load BFR resistance
training studies in clinical populations, to achieve a power of 80% at an alpha level 0.05, a
total of 28 participants is required to detect a meaningful effect. Based on hospital record
of rehabilitation programmes, a drop-out rate of 10% can be expected during the course of
rehabilitation programmes. Therefore, a total of 30 participants will be recruited.
All data will be stored on the NHS password protected server at UCLH as per hospital and NHS
ethical requirements. Data from drop-outs will not be included in the final analysis.
Descriptive statistics (mean ± standard deviation) will be used to summarise adherence rates,
exercise session attendance, training volume any adverse events. All statistical analysis
will be performed with IBM Statistical Package for the Social Sciences (SPSS) Version 22.0
(IBM Corp, Chicago Illinois, United States of America). All data will be presented as means ±
standard deviation with 95% confidence intervals unless stated otherwise. Normal distribution
of data will be assessed using Shapiro-Wilks test (p>0.05). Ten repetition maximum strength,
muscle size measures, self-reported physical function measures and functional performance
will each be analysed using 2 x 5 (rehabilitation intervention x TP) repeated measures
analysis of variance (ANOVA)s. Isokinetic strength and knee ligament laxity will be assessed
using 2 x 3 (rehabilitation intervention x TP) repeated measures ANOVAs. Perceptual responses
for ratings of perceived exertion and pain will be assessed using 2 x 16 (rehabilitation
intervention x exercise session) repeated measures ANOVAs. For any statistically significant
two-way interaction, one-way repeated measures ANOVAs with Bonferroni correction will be used
to examine simple main effects. Non-normally distributed data will be analysed using the
non-parametric Friedman test. Alpha significance will be set a priori p<0.05.
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