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. Author manuscript; available in PMC: 2018 Jul 3.
Published in final edited form as: Clin Transplant. 2018 Mar 14;32(4):e13223. doi: 10.1111/ctr.13223

TABLE 4.

Decomposition of pre-post KAS DGF rate for young pediatric recipients

Odds ratio of DGF (post-KAS vs pre-KAS) 95% CI % Odds difference explained, cumulative
Sample (N = 1143) 1.68 (1.06-2.66)

Weighted by donor age/size (N = 1138) 1.52 (0.95-3.46) 24%

Weighted by donor age/size and duration of recipient dialysis (N = 1138) 1.37 (0.90-2.66) 43%

Semiparametric decomposition of the increased odds of DGF post-KAS via the DiNardo, Fortin, and Lemieux method. This method uses a propensity score and inverse probability weighting to estimate the counterfactual outcome if post-KAS recipients had received kidneys from the same donors with the same amount of dialysis time as pre-KAS recipients. Each row represents a set of variables added to the propensity score and the resulting reduction in the odds of DGF can be interpreted as the percent of the post-KAS DGF explained by the variables. See Figure 5 and Table S3 for balancing of covariates in the final model. Donor size variables included age, height, weight, and BMI.