BACKGROUND: A simplified and consensus-based donor scoring process could improve donor lung use. METHODS: To develop the University of Minnesota Donor Lung Quality Index (UMN-DLQI), we used expert opinion to create an online survey that ranked 17 lung donor and recipient factors and graded their importance on a scale of 0 to 10. To arrive at consensus-based weights for each of the 17 factors, we used magnitude estimation (ME) methods. We performed receiver operating characteristic (ROC) analyses to evaluate predictive value. An application (app) was developed to simplify the scoring process. A second review process was instituted for every donor offer with an UMN-DLQI score greater than 40 as of September 2014 (post-donor score era). RESULTS: Worldwide, 11 transplantation centers (including ours) completed our survey. Results showed strong consensus among transplantation physicians across disparate practices. UMN-DLQI scores greater than 40 provided a sensitivity of 89%, a specificity of 55%, and a positive predictive value of 52% for donor offer acceptance. Number of transplants (63 versus 48) and donor lung use (15.1% versus 8.9%; p = 0.02) were significantly better in the post-donor score era without a penalty in transplantation outcomes. There was a trend toward a lower incidence of any primary graft dysfunction within 72 hours (40% versus 75%; p = 0.06) with a UMN-DLQI greater than 40 but no difference in 30-day or 1-year survival. CONCLUSIONS: The UMN-DLQI scoring app is a simple tool for describing the attributes of a donor lung offer. More attention to scores greater than 40 safely improved donor lung use at a single institution.
BACKGROUND: A simplified and consensus-based donor scoring process could improve donor lung use. METHODS: To develop the University of Minnesota Donor Lung Quality Index (UMN-DLQI), we used expert opinion to create an online survey that ranked 17 lung donor and recipient factors and graded their importance on a scale of 0 to 10. To arrive at consensus-based weights for each of the 17 factors, we used magnitude estimation (ME) methods. We performed receiver operating characteristic (ROC) analyses to evaluate predictive value. An application (app) was developed to simplify the scoring process. A second review process was instituted for every donor offer with an UMN-DLQI score greater than 40 as of September 2014 (post-donor score era). RESULTS: Worldwide, 11 transplantation centers (including ours) completed our survey. Results showed strong consensus among transplantation physicians across disparate practices. UMN-DLQI scores greater than 40 provided a sensitivity of 89%, a specificity of 55%, and a positive predictive value of 52% for donor offer acceptance. Number of transplants (63 versus 48) and donor lung use (15.1% versus 8.9%; p = 0.02) were significantly better in the post-donor score era without a penalty in transplantation outcomes. There was a trend toward a lower incidence of any primary graft dysfunction within 72 hours (40% versus 75%; p = 0.06) with a UMN-DLQI greater than 40 but no difference in 30-day or 1-year survival. CONCLUSIONS: The UMN-DLQI scoring app is a simple tool for describing the attributes of a donor lung offer. More attention to scores greater than 40 safely improved donor lung use at a single institution.
Authors: Cesar A Keller; Thomas A Gonwa; Launia J White; March E Rucci; Sue L Visscher; Cassie C Kennedy; Richard C Daly; James M Naessens Journal: Transplantation Date: 2019-03 Impact factor: 4.939
Authors: Farhan Zafar; Md Monir Hossain; Yin Zhang; Alia Dani; Marc Schecter; Don Hayes; Maurizio Macaluso; Christopher Towe; David L S Morales Journal: Transplantation Date: 2022-04-06 Impact factor: 5.385