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A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma
Published on: September 30, 2021
Comorbidities have a limited impact on post-transplant survival in carefully selected cirrhotic patients: a
Filipe S Cardoso1, Sean M Bagshaw1, Juan G Abraldes2
1Division of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Insights
A new model for predicting long-term survival after liver transplantation (OLT) was developed. Existing comorbidity indices showed limited value in predicting post-transplant outcomes in carefully selected patients.
Area of Science:
- Hepatology and Transplant Surgery
- Medical Statistics and Predictive Modeling
Background:
- Accurate estimation of long-term survival post-orthotopic liver transplantation (OLT) is crucial for optimizing transplant eligibility.
- Existing models, such as the Charlson Comorbidity Index for OLT (CCI-OLT), require external validation and refinement.
Purpose of the Study:
- To externally validate the CCI-OLT for predicting 5-year mortality after OLT.
- To develop and internally validate a new predictive model for 5-year post-transplant mortality.
Main Methods:
- A retrospective cohort study of 524 adult cirrhotic patients undergoing OLT between 2002-2012.
- External validation of CCI-OLT using Kaplan-Meier survival analysis.
- Development of a new predictive model using Cox proportional hazards regression based on pre-transplant patient characteristics.
Main Results:
- One-, 3-, and 5-year cumulative survival rates post-OLT were 89%, 80%, and 73%, respectively.
- CCI-OLT was not significantly associated with 5-year post-transplant mortality (P = 0.34).
- A new model, incorporating age, BMI, hepatitis C, hepatic encephalopathy, ICU stay, and donor type, showed modest predictive capacity (C-index = 0.64) and was internally validated. A nomogram was developed for individual survival probability estimation.
Conclusions:
- The CCI-OLT demonstrated no association with survival in this cohort.
- The newly developed predictive model has modest discriminative ability, indicating limited value of pre-transplant characteristics for predicting outcomes in highly selected OLT patients.
Background:
Improving estimation of long-term survival of patients with end-stage liver disease after orthotopic liver transplantation (OLT) would optimize decisions on eligibility for transplant. We aimed to externally validate previously derived Charlson Comorbity Index for OLT (CCI-OLT); subsequently, we developed a new model to predict 5-year mortality after transplant.
Material And Methods:
This single center retrospective cohort study included 524 consecutive adult cirrhotic patients who underwent OLT in 2002-2012. External validation of CCI-OLT used Kaplan-Meier method. Derivation of the new predictive model used Cox proportional hazards regression.
Results:
One-, 3-, and 5-year cumulative survival after OLT was 89%, 80%, and 73%, respectively. CCI-OLT was not associated with 5-year mortality after transplant (P = 0.34). We derived and internally validated a new predictive model of 5-year mortality after OLT based on six pre-transplant characteristics of patients: age, body mass index, hepatitis C, hepatic encephalopathy, intensive care unit stay at transplant, and live donor (C-index = 0.64). We further developed a nomogram to estimate individual probability of 1-, 3-, and 5-year survival after OLT.
Conclusions:
In our cohort, CCI-OLT was not associated with survival following transplant. The new predictive model discriminative capacity was only modest, suggesting that pre-transplant characteristics are of limited value in predicting post-transplant outcomes in thoroughly selected patients.
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Cirrhosis is characterized by the scarring of hepatic lobules in the liver, which are replaced by fibrous tissue, affecting the liver's normal functioning. NAFLD, on the other hand, is caused by an excessive build-up of fat in the liver, not...

