TABLE 3.
Lung allocation metrics for grafts from brain-dead donors before and after the change in the geographic model.
| Period | |||
|---|---|---|---|
| Pre-implementation | Post-implementation | p-value (Pre vs. Post) | |
| Percentage of transplants by type of geographic allocation for each transplant centre | |||
| mean (standard deviation) | |||
| Local | 25.7% (19.1) | 20.3% (9.8) | 0.48 (0.08) |
| Regional and national | 74.3% (19.1) | 79.7% (9.8) | 0.48 (0.08) |
| Shipping distance in km for geographic allocation (Km) | |||
| Mean | 395 | 406 | 0.7 |
| Standard deviation | 296 | 304 | 0.64 |
| Cold ischemia time | |||
| Mean | 6h11 | 5h58 | 0.08 |
| Standard deviation | 1h20 | 1h13 | 0.51 |
| Lung offers per candidate by transplant centre | |||
| Bordeaux | 3.4 | 2.8 | — |
| Lyon | 3.7 | 1.9 | — |
| Marseille | 2.6 | 1.7 | — |
| Marie Lannelongue | 2.3 | 2.3 | — |
| Nantes | 4.1 | 2.5 | — |
| Foch | 1.2 | 1.7 | — |
| Bichat | 1.6 | 1 | — |
| Strasbourg | 2.2 | 2.2 | — |
| Toulouse | 3.2 | 2.7 | — |
| Mean | 2.7 | 2.1 | 0.04 |
| Standard deviation | 0.9 | 0.5 | 0.08 |