Surgery Clinical Trial
Official title:
Frailty and Sarcopenia Outcomes in Emergency General Surgery
1. A retrospective scoping cohort review of adult patients undergoing emergency
laparotomy/laparoscopy for acute gastrointestinal (GI) pathology who have had a CT scan
of the abdomen(+/- pelvis). CT measured sarcopenia would be compared with clinical
outcomes, 30-day and 1-year mortality.
2. A prospective observational cohort study and bio-banking exercise of routinely collected
clinical data, in a cohort of patient undergoing emergency laparotomy/laparoscopy or
conservative treatment for an otherwise operable pathology. An interrogation of CT
measured sarcopenia and a validated clinical frailty score would be analysed against
clinical outcomes, 30-day and 1-year mortality.
The investigators aim to research the association and predictive advantage of combining
subjectively measured frailty, objectively measured CT sarcopenia and other risk predicting
tools used in every day surgical practice and surgical outcomes (mortality and morbidity) in
a cohort of acute surgical patients undergoing surgery or conservative treatment.
Frailty has a significant impact on surgical outcomes. It is an independent risk factor for
adverse outcomes following surgery including complications, length of stay, inability to
return home and mortality. Frailty is a physiological decline across multiple body systems
accumulating in loss of reserves and increased vulnerability to stressors.
Sarcopenia, loss of muscle mass or progressive reduction in muscle mass, is one of the
central physiological manifestations of frailty resulting in weight loss, weakness and
exhaustion. Frailty has both a strong correlation with age as well as significant overlap
with disability and co-morbidity. Further factors strongly influencing outcome, 30 day and
mortality have been described including polypharmacy, Charlson co-morbidity index, age, not
independently mobile, emergency admission and falls. It has been recognised that poor
outcomes are multimodal relating to the interplay of co-morbidities, physical functioning and
nutrition.
Assessing frailty can be completed using simple questionnaire tools, as well as more complex
assessment of co-morbidity, functional status, and disability. There is good evidence the
simple tools can be as accurate as formal geriatric assessments.
As sarcopenia relates directly to many manifestations of frailty it can be used as a
surrogate marker. One of the favoured ways for diagnosing sarcopenia is using CT morphometric
biological markers. This uses an axial image at the level of the 3rd lumbar vertebra (L3) to
assess the total or cross-sectional volume of the psoas muscle, giving rise to indices
measuring muscle mass, visceral adipose tissue and subcutaneous adipose tissue.
Major abdominal emergency surgery is a high-risk procedure with ongoing audit and outcome
monitoring. Currently data collection for UK National Emergency Laparotomy Audit (NELA) is in
its fourth year with annual reports into the management and outcomes of emergency
laparotomies. Observation and audit of these outcomes remain central to improving service and
healthcare both regionally and nationally. Furthermore, this group of patients is not well
represented in research and is one of the most understudied surgical cohorts that exist. This
is especially the case for patients presenting with an acute surgical diagnosis and are
deemed unable to withstand the stress of surgery, and hence pursue a conservative or
radiological treatment option. With our ageing, co-morbid population this is becoming
increasing common. The diagnosis of frailty and sarcopenia are a significant measurable and
modifiable risk factor that impacts on perioperative surgical care, healthcare provider and
patient decision-making and most importantly long and short term outcomes. This urgently
requires further audit and study.
Work package one (WP1): Retrospective scoping cohort study in acute general surgery
Patient identification The number of patients recruited from each participating hospital will
be proportionate to the total number of cases, in accordance with relative annual case
volumes (as reported by NELA - in the case of less than 100% case capture, the theoretical
100% case number will be used). This will provide a representative sample of the recruiting
region's population.
The most recent laparotomy cases with 1-year follow-up mortality data available will be
included at the time of study activation. Data collection over a predicted six week period
will be undertaken or until the sample size is reached. Retrospective collection of routinely
recorded clinical data will be performed (See appendix data collection tool). This includes,
but is not restricted to [a] routine clinical variables: patient characteristics,
demographic, pathological and physiological variables will be captured in line with NELA
data, alongside confounding factors associated with frailty and sarcopenia.
Protocol for measuring muscle radiation attenuation Inclusion: Retrievable CT abdomen/pelvis
on an electronic NHS PACS system. CT can be non-contrast or with contrast, supine or prone
but must be of sufficient quality for the sarcopenia CT analyses software to handle
(Slico-maticâ„¢, TomoVision, Magog, Canada ).
Exclusion: CT-scans with large radiation artefacts or with missing parts of muscle tissue on
the ventral, dorsal, or both lateral edges of the scan preventing sarcopenia assessment.
Patients meeting inclusion criteria will have their CT extracted and reviewed by a trained
independent party. This may through an allocated representative at the base hospital or the
CT can be extracted and sent in a fully anonymised format to the central unit for sarcopenia
assessment. CT scans obtained via a PACS system can up transferred through secure
inter-hospital PACS transfer. Those with non-compatible systems can either be uploaded via CD
or analysed at the data collection site. The outcome of the assessment for sarcopenia will
define whether a patient is considered to have sarcopenia.
Participants can be identified primarily from the NELA database with confirmation of GI
pathology on the radiological report. This can be cross reference against admission logs,
acute surgery admission databases, theatre logs for emergency surgery and NELA databases to
maximise case capture. Once patients are confirmed to meet the inclusion criteria their data
can be gathered into a data collection tool. The CT scan will be extracted and sent for
analysis.
All patients meeting inclusion criteria will be identified by the lead researcher in each
centre. Frailty scores are already part of standard acute admission clerking proformas in
many of the hospitals across the region; as such the researcher's role will be ensure
appropriate and complete data capture from existing clinical information sources, but no
additional intervention or questioning of patients beyond current standard of care will be
required. Patients will be collected across a set time scale as listed above. Baseline
demographics and disease factors will be collected as per collection proforma attached as
supplementary material.
The Reported Edmonton Frail Scale (REFS) is collected at time of admission as part of routine
clinical assessment for surgical admissions. This is a validated, self-reported patient
questionnaire that can categorise the degree of frailty. This information is routinely
collected in many acute unit or care of the elderly departments. The REFS will enable a
consistent method of collecting this data utilising a rapid and well validated tool.
For patients presenting in extremis or unable to complete the score due to an acute state or
requirement for prompt treatment, this will be gathered at the next appropriate pre-operative
opportunity. Patients unable to complete a REFS given the best opportunity will be excluded,
however reasons for exclusion will be recorded.
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