Myths and methodologies: Cardiopulmonary exercise testing for surgical risk stratification in patients with an abdominal aortic aneurysm; balancing risk over benefit.
Jacqueline K LimbergRichard G DaviesGeorge A RoseMichael H LewisAhmed Abd AldayemChistopher P TwineWael AwadMatti JubouriIdhrees MohammedCarlos A MestresEdward P ChenJoseph S CoselliIan M WilliamsMohamad Bashirnull nullPublished in: Experimental physiology (2023)
The extent to which patients with an abdominal aortic aneurysm (AAA) should exercise remains unclear, given theoretical concerns over the perceived risk of blood pressure-induced rupture, which is often catastrophic. This is especially pertinent during cardiopulmonary exercise testing, when patients are required to perform incremental exercise to symptom-limited exhaustion for the determination of cardiorespiratory fitness. This multimodal metric is being used increasingly as a complementary diagnostic tool to inform risk stratification and subsequent management of patients undergoing AAA surgery. In this review, we bring together a multidisciplinary group of physiologists, exercise scientists, anaesthetists, radiologists and surgeons to challenge the enduring 'myth' that AAA patients should be fearful of and avoid rigorous exercise. On the contrary, by appraising fundamental vascular mechanobiological forces associated with exercise, in conjunction with 'methodological' recommendations for risk mitigation specific to this patient population, we highlight that the benefits conferred by cardiopulmonary exercise testing and exercise training across the continuum of intensity far outweigh the short-term risks posed by potential AAA rupture.
Keyphrases
- high intensity
- physical activity
- abdominal aortic aneurysm
- resistance training
- blood pressure
- patients undergoing
- ejection fraction
- end stage renal disease
- newly diagnosed
- prognostic factors
- quality improvement
- coronary artery disease
- case report
- minimally invasive
- peritoneal dialysis
- type diabetes
- metabolic syndrome
- mental health
- deep learning
- chronic pain
- risk assessment
- insulin resistance
- molecularly imprinted
- solid phase extraction
- high glucose
- stress induced
- blood glucose