The KFTS scheme is successfully identifying organs at high risk of discard, though potentially transplantable organs are still being discarded. Analyses of discarded organs are essential to identify barriers to organ utilization and develop strategies to reduce unnecessary discard.
Background: The pathogenesis of rhinosinusitis in aspirin-exacerbated airway disease is closely linked to the disequilibrium in arachidonic acid metabolism. Although considerable amounts of data concerning impaired eicosanoid production are available, the precise mechanism and pathogenesis of the disease are still unknown. The aim of the present study was to assess the expression of enzymes belonging to the arachidonic acid cascade and receptors for arachidonate derivative metabolites in nasal polyps from aspirin- hypersensitive (AH) and aspirin-tolerant (AT) patients with rhinosinusitis. Methods: Cells expressing cysteinyl leukotriene (CysLT) receptors (CysLT1 and CysLT2), arachidonate 5-lipoxygenase, leukotriene B4 receptor type 1, E-prostanoid receptors (EP2 and EP4), cyclooxygenase (COX)-1 and COX-2 were detected by immunocytochemistry in nasal polyps obtained from 10 AH patients and 18 AT patients. Results: There was a significantly higher density of cells expressing CysLT1 and CysLT2 receptors in nasal polyps from AH patients than from AT patients (p < 0.001). In contrast, the density of cells expressing EP2 receptor and COX-2 was significantly lower in AH patients than in AT patients (p < 0.02). The number of COX-2-positive epithelial cells was significantly reduced in AH polyps (p < 0.04). Conclusions: The elevated number of nasal polyp cells expressing CysLT receptors and lack of cells expressing EP2 receptor and COX-2 may be related to a more severe course of hyperplastic rhinosinusitis in aspirin hypersensitivity.
Tailored desensitization in pediatric blood group incompatible kidney transplantation results in excellent outcomes with graft survival and rejection rates comparable with compatible transplants.
Objective:
To identify factors that accurately predict 1-year survival for liver transplant recipients with a MELD score ≥40.
Background:
Although transplant is beneficial for patients with the highest acuity (MELD ≥40), mortality in this group is high. Predicting which patients are likely to survive for >1 year would be medically and economically helpful.
Methods:
The Scientific Registry of Transplant Recipients database was reviewed to identify adult liver transplant recipients from 2002 through 2016 with MELD score ≥40 at transplant. The relationships between 44 recipient and donor factors and 1-year patient survival were examined using random survival forests methods. Variable importance measures were used to identify the factors with the strongest influence on survival, and partial dependence plots were used to determine the dependence of survival on the target variable while adjusting for all other variables.
Results:
We identified 5309 liver transplants that met our criteria. The overall 1-year survival of high-acuity patients improved from 69% in 2001 to 87% in 2016. The strongest predictors of death within 1 year of transplant were patient on mechanical ventilator before transplantation, prior liver transplant, older recipient age, older donor age, donation after cardiac death, and longer cold ischemia.
Conclusions:
Liver transplant outcomes continue to improve even for patients with high medical acuity. Applying ensemble learning methods to recipient and donor factors available before transplant can predict survival probabilities for future transplant cases. This information can be used to facilitate donor/recipient matching and to improve informed consent.
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