Colles' Fracture Clinical Trial
Official title:
Prediction of Failure of Emergency Department Closed Manipulation of Colles' Distal Radial Fractures
The Colles fracture, a fracture of the wrist, is frequently associated with deformity of the
broken part of the bone, particularly in older or frail patients. This can cause long term
wrist deformity and problems using the wrist and hand if not corrected.
Manipulation under anaesthesia (MUA) is often undertaken in the emergency department (ED) for
'displaced' fractures in an attempt to correct the deformity. The procedure involves a local
anaesthetic technique, additional staff, and takes some time to complete. The procedure is
not without risk; it can cause bruising, skin tears, complications from the local anaesthetic
and can be uncomfortable.
Although fracture positions are usually improved by ED manipulation initially; these
fractures can slip back to an unacceptable position over the next 1-2 weeks, despite plaster
cast immobilisation. For fractures that slip, open surgery is usually required to correct and
hold the fracture with metal plates or wires. This is performed in the operating theatre and
requires another visit to the hospital. Preliminary work suggests this affects over a quarter
of patients, undergoing ED MUA for Colles' wrist fractures.
If it were possible to reliably identify patients whose fractures were likely to slip and
require open surgery despite ED manipulation, unnecessary procedures and visits to hospital
could be avoided. This would ensure patients got the right treatment first time and save
patients and the NHS time and money.
There are a number of factors that might affect the likelihood of fracture instability and
need for surgery. These include patient factors such as age, functional status and presence
of osteoporosis (thin weak bones) and the specific position of the fracture. In this study we
will be measuring the fracture positions on x-rays of patients with a Colles' fracture to see
if we can accurately predict ED MUA failure on the initial x-ray.
Many thousands of patients attend emergency departments (ED) with displaced (deformed) wrist
fractures and undergo closed manipulation under local anaesthetic (MUA) in the ED. Local
audit suggests between 25-40% of these manipulated fractures slip back into an unacceptable
position (unstable fractures) and require a subsequent open operation to reduce and pin or
plate the bone (ORIF). There is some evidence that the degree of initial deformity and other
factors might predict instability but this is neither well established nor well researched.
Reliably predicting which fractures are likely to fail and which are likely to succeed closed
ED manipulation could reduce the proportion undergoing a futile ED procedure, save patients'
time and visits to hospital and ensure definitive care the first time round.
We will identify cases from a previously conducted clinical activity analysis of patients who
had undergone MUA for Colles' fracture over a two year period at Royal Devon and Exeter
Hospital ED. These cases were retrospectively identified (from electronic attendance logs)
and followed up until fracture healing or surgery. In this database, the need for subsequent
surgery was recorded from electronic records and review of comments in fracture clinic.
X-rays of these patients have been identified and anonymised by a member of radiology staff,
who is not a member of the research team. These X-rays and the database cases have been given
a unique trial number and all identifiable data removed before trial use. The database will
be used to provide outcome data for the development of a model to see if x-ray features can
reliably predict ED MUA failure. We will exclude Smiths' (anteriorly displaced) fractures and
those whom there is no follow up data in the database eg. Patients who were followed up
elsewhere.
Anonymised x-rays will be used to develop computer-assisted methods to measure key fracture
angles as well as other factors such as degree and position of comminution (fragmentation)
and markers of osteoporosis. All x-rays will then by analysed using the system to record
these measurements. Depending upon the speed of development, any user facing systems could
also be tested on staff to gauge usability and test for inter-rater agreement.
Multivariate analysis of these x-ray features measured by computer, together with the
database demographic and outcome data will be used to develop the best model /decision rule
to predict likelihood of MUA success. A 'leave one out cross validation' technique will be
used to validate such a model and assess whether we could have reduced the ED MUA failure
rate without increasing the overall number of open operative procedures. This work will be
used to inform a larger prospective study where any decision rules can be assessed and
further factors explored with the prospect of adding these to any final computer model.
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