Objective Estimates Improve Risk Stratification for Primary Graft Dysfunction after Lung Transplantation.


Journal Article

Primary graft dysfunction (PGD) is a major cause of early mortality after lung transplant. We aimed to define objective estimates of PGD risk based on readily available clinical variables, using a prospective study of 11 centers in the Lung Transplant Outcomes Group (LTOG). Derivation included 1255 subjects from 2002 to 2010; with separate validation in 382 subjects accrued from 2011 to 2012. We used logistic regression to identify predictors of grade 3 PGD at 48/72 h, and decision curve methods to assess impact on clinical decisions. 211/1255 subjects in the derivation and 56/382 subjects in the validation developed PGD. We developed three prediction models, where low-risk recipients had a normal BMI (18.5-25 kg/m(2) ), chronic obstructive pulmonary disease/cystic fibrosis, and absent or mild pulmonary hypertension (mPAP<40 mmHg). All others were considered higher-risk. Low-risk recipients had a predicted PGD risk of 4-7%, and high-risk a predicted PGD risk of 15-18%. Adding a donor-smoking lung to a higher-risk recipient significantly increased PGD risk, although risk did not change in low-risk recipients. Validation demonstrated that probability estimates were generally accurate and that models worked best at baseline PGD incidences between 5% and 25%. We conclude that valid estimates of PGD risk can be produced using readily available clinical variables.

Full Text

Duke Authors

Cited Authors

  • Shah, RJ; Diamond, JM; Cantu, E; Flesch, J; Lee, JC; Lederer, DJ; Lama, VN; Orens, J; Weinacker, A; Wilkes, DS; Roe, D; Bhorade, S; Wille, KM; Ware, LB; Palmer, SM; Crespo, M; Demissie, E; Sonnet, J; Shah, A; Kawut, SM; Bellamy, SL; Localio, AR; Christie, JD

Published Date

  • August 2015

Published In

Volume / Issue

  • 15 / 8

Start / End Page

  • 2188 - 2196

PubMed ID

  • 25877792

Pubmed Central ID

  • 25877792

Electronic International Standard Serial Number (EISSN)

  • 1600-6143

Digital Object Identifier (DOI)

  • 10.1111/ajt.13262


  • eng

Conference Location

  • United States