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Prediction of the probability of graft survival from the model, achieved a good match with the observed survival of the separate dataset, with a correlation of r = 0.998 for LM and r = 0.984 for TBM.
The 3-month probability of graft failure was 69% when the interval between the first HCT and second HCT was less than 3 months, compared with 23% when the interval was longer (P <.001).
The probability of graft survival among related and unrelated donors was essentially similar.
Evidence was provided that a tacrolimus-based triple therapy provided the best probability of graft survival at ten years.
Sibling donors are considered ideal as they can inherit identical HLA genes, reducing the probability of graft rejection and other complications.
The probability of graft function was obtained using the final logistic model and shown as a heatmap in the clinical courses of all patients as well as SMBG assessment elements and SMBG clusters (Supplementary Fig. 1).
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In fact, appropriate antibiotic therapy might give the patients a greater probability of preserving graft function [ 21, 22].
The probability of successful graft function obtained from the final logistic model was supported by ROC analysis, which yielded excellent discrimination in predicting islet graft function.
However this difference did not persist after adjustment for the other variables: logistic regression with random effects for donor showed that the probability of kidney graft DGF increased with age of the donor (P = 0.0007), and with serum creatinine value before procurement (P = 0.006) and decreased with norepinephrine dose (P = 0.03) but was not modified by the strategy (P = 0.26).
CONCLUSIONS: In this study, the probability of early vein graft occlusion was increased by aprotinin, but this outcome was promoted by multiple risk factors for graft occlusion.
To estimate the probability of allograft rejection, graft failure, and recurrent keratoconus (KC) and to assess vision-specific quality of life 20 to 25 years after corneal transplantation for KC.
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