Short-term outcomes after heart transplantation using donor hearts preserved with ex vivo perfusion.
William Herrik NielsenFinn GustafssonPeter Skov OlsenPeter Bo HansenKasper RossingNikolaj Bang LilleørHasse Møller SørensenChristian Holdflod MøllerPublished in: Scandinavian cardiovascular journal : SCJ (2023)
The standard Conventional Cold Storage (CCS) during heart transplantation procurement is associated with time-dependent ischemic injury to the graft, which is a significant independent risk factor for post-transplant early morbidity and mortality - especially when cold ischemic time exceeds four hours. Since 2018, Rigshospitalet (Copenhagen, Denmark) has been utilising ex vivo perfusion (Organ Care System, OCS) in selected cases. The objective of this study was to compare the short-term clinical outcomes of patients transplanted with OCS compared to CCS. Methods : This retrospective single-centre study was based on consecutive patients undergoing a heart transplant between January 2018 and April 2021. Patients were selected for the OCS group when the cold ischemic time was expected to exceed four hours. The primary outcome measure was six-month event-free survival. Results : In total, 48 patients were included in the study; nine were transplanted with an OCS heart. The two groups had no significant differences in baseline characteristics. Six-month event-free survival was 77.8% [95% CI: 54.9-100%] in the OCS group and 79.5% [95% CI: 67.8-93.2%] in the CCS group ( p = 0.91). While the OCS group had a median out-of-body time that was 183 min longer ( p < 0.0001), the cold ischemic time was reduced by 51 min ( p = 0.007). Conclusion: In a Scandinavian setting, our data confirms that utilising OCS in heart procurement allows for a longer out-of-body time and a reduced cold ischemic time without negatively affecting safety or early post-transplant outcomes.
Keyphrases
- end stage renal disease
- free survival
- chronic kidney disease
- ejection fraction
- newly diagnosed
- heart failure
- patients undergoing
- prognostic factors
- healthcare
- peritoneal dialysis
- type diabetes
- magnetic resonance imaging
- palliative care
- machine learning
- skeletal muscle
- magnetic resonance
- insulin resistance
- subarachnoid hemorrhage
- quality improvement
- cross sectional
- contrast enhanced
- patient reported