Impact of sternotomy and pericardiotomy on cardiopulmonary haemodynamics in a large animal model.
Mathilde Emilie KirkVictor Tang MeritNiels MoeslundSimone Juel DragsbaekJacob Valentin HansenAsger AndersenMads Dam LyhnePublished in: Experimental physiology (2023)
Animal models of cardiovascular disease are often evaluated by invasive instrumentation for phenotyping. As no consensus exists, both open- and closed-chest approaches are used, which might compromise rigour and reproducibility in preclinical research. We aimed to quantify the cardiopulmonary changes induced by sternotomy and pericardiotomy in a large animal model. Seven pigs were anaesthetized, mechanically ventilated and evaluated by right heart catheterization and bi-ventricular pressure-volume loop recordings at baseline and after sternotomy and pericardiotomy. Data were compared by ANOVA or the Friedmann test where appropriate, with post-hoc analyses to control for multiple comparisons. Sternotomy and pericardiotomy caused reductions in mean systemic (-12 ± 11 mmHg, P = 0.027) and pulmonary pressures (-4 ± 3 mmHg, P = 0.006) and airway pressures. Cardiac output decreased non-significantly (-1329 ± 1762 ml/min, P = 0.052). Left ventricular afterload decreased, with an increase in ejection fraction (+9 ± 7%, P = 0.027) and coupling. No changes were observed in right ventricular systolic function or arterial blood gases. In conclusion, open- versus closed-chest approaches to invasive cardiovascular phenotyping cause a systematic difference in key haemodynamic variables. Researchers should adopt the most appropriate approach to ensure rigour and reproducibility in preclinical cardiovascular research.
Keyphrases
- aortic stenosis
- aortic valve replacement
- left ventricular
- ejection fraction
- transcatheter aortic valve implantation
- heart failure
- cardiovascular disease
- hypertrophic cardiomyopathy
- cardiac resynchronization therapy
- minimally invasive
- high throughput
- acute myocardial infarction
- aortic valve
- transcatheter aortic valve replacement
- left atrial
- mitral valve
- cell therapy
- pulmonary hypertension
- intensive care unit
- type diabetes
- blood pressure
- electronic health record
- stem cells
- atrial fibrillation
- transcription factor
- acute respiratory distress syndrome
- clinical practice
- machine learning
- metabolic syndrome
- single cell
- data analysis