Pilot study on the feasibility of limited focused real-time echocardiography during pediatric renal transplantation.
Katherine L TaylorArmando LorenzoLuc MertensAndreea DragulescuPublished in: Pediatric transplantation (2016)
Pediatric renal transplantation protocols describe supraphysiological blood pressure and CVP to optimize graft perfusion. Ideal CVP and blood pressure targets in children are uncertain and difficult to achieve and/or sustain without incurring morbidity. We correlated intra-operative ECHO with standard monitoring to assess intravascular volume at critical intra-operative stages. A feasibility pilot study of real-time limited ECHO images during four critical stages of pediatric renal transplantation (baseline; venous and arterial clamps on; clamps off; 5-10 min post-clamp release) was conducted. Simultaneous CVP, SBP and DBP measurements were obtained with ECHO images. A surgeon blinded to the ECHO study assessed the quality of graft perfusion. Thirteen patients (nine TTE and four TEE) were enrolled. The CI increased in all patients at vascular clamp removal and the post-resuscitation period (average increase in CI 20%, range 8-49%). SBP, DBP and CVP were inconsistent. ECHO data confirmed an appropriate CI increase even when the targeted CVP and BP values described in protocols were not achieved. The surgeons were satisfied with graft perfusion in 12 of 13 cases, with one locally obstructed vessel. We suggested that aiming for fixed targets in CVP and BP is not necessary to augment CI and encourage good renal perfusion.
Keyphrases
- contrast enhanced
- diffusion weighted
- magnetic resonance
- blood pressure
- diffusion weighted imaging
- magnetic resonance imaging
- computed tomography
- end stage renal disease
- deep learning
- ejection fraction
- cardiac arrest
- heart rate
- convolutional neural network
- optical coherence tomography
- quality improvement
- young adults
- peritoneal dialysis
- coronary artery
- prognostic factors
- type diabetes
- study protocol
- randomized controlled trial
- clinical trial
- heart failure
- insulin resistance
- big data
- patient reported outcomes
- skeletal muscle
- artificial intelligence
- weight loss
- minimally invasive