Corrigendum to "Miscalibration of lung allocation models leads to inaccurate waitlist mortality predictions"[American Journal of Transplantation 23 (2023) 72-77].

The authors regret that the acknowledgement section in the published article was incomplete and should have included “Dr. Lehr is supported by NHLBI K08HL159236”. The full acknowledgements should read: The data reported here have been supplied by the Hennepin Healthcare Research Institute as the contractor for the Scientific Registry of Transplant Recipients. The interpretation and reporting of these data are the responsibility of the authors and in no way should be seen as an official policy of or interpretation by the Scientific Registry of Transplant Recipients or the US Government. Dr. Lehr is supported by NHLBI K08HL159236. The online article has also been updated. The authors would like to apologise for any inconvenience caused. Miscalibration of lung allocation models leads to inaccurate waitlist mortality predictionsAmerican Journal of TransplantationVol. 23Issue 1PreviewThe importance of waitlist (WL) mortality risk estimates will increase with the adoption of the US Composite Allocation Score (CAS) system. Calibration is rarely assessed in clinical prediction models, yet it is a key factor in determining access to lung transplant. We assessed the calibration of the WL–lung allocation score (LAS)/CAS models and developed alternative models to minimize miscalibration. Scientific Registry of Transplant Recipients data from 2015 to 2020 were used to assess the calibration of the WL model and for subgroups (age, sex, diagnosis, and race/ethnicity). Full-Text PDF