Morphometric predictors of outcomes following AAA interventions

  • Research type

    Research Study

  • Full title

    Morphometric predictors of post-operative outcomes following abdominal aortic aneurysm surgery.

  • IRAS ID

    228484

  • Contact name

    Mohammed Abdul Waduud

  • Contact email

    m.a.waduud@leeds.ac.uk

  • Sponsor organisation

    Leeds teaching hospitals NHS Trust

  • Duration of Study in the UK

    0 years, 8 months, 31 days

  • Research summary

    Obesity is typically defined by calculating a patient’s body mass index (BMI). However it is widely accepted in the medical profession to be an imprecise measure of obesity, especially when used alone. Obesity has been shown to be associated with poor post-operative outcomes. For example, in vascular surgery a high BMI has been shown to be associated with an increased likelihood of wound dehiscence following surgery. It is therefore important to accurately quantify obesity in order to reliably identify patients at risk of developing post-operative complications. Alternative methods to measure obesity in the medical literature include measuring the area of fat on radiological imaging.

    Sarcopenia is characterised by the progressive loss of muscle and function. Previous studies in have suggested sarcopenia to be associated post-operative frailty and death. It is therefore important to identify these patients so that appropriate pre- and post- operative measures can be undertaken such as exercise and support. Similarly to fat, the area of muscle can also be measured on radiological imaging.

    We intend to measure obesity and sarcopenia on existing radiological images for patients who have undergone intervention for an abdominal aortic aneurysm (AAA). The two dominant strategies for surgically managing an AAA includes endovascular aneurysm repair (EVAR) and open surgical repair (OSR). Current evidence from large trails show EVAR to have a lower short-term death rate than OSR. However this initial benefit is lost in the longer-term. To date, there is no reliable method to predict patients who are at an increased risk of dying following both types of interventions. We believe measuring the fat and muscle on pre-operative imaging and surveillance imaging at one year may provide us with a potential insight to predicting outcomes.

  • REC name

    North of Scotland Research Ethics Committee 1

  • REC reference

    17/NS/0101

  • Date of REC Opinion

    18 Oct 2017

  • REC opinion

    Further Information Favourable Opinion