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Modified Charlson comorbidity index for predicting survival after liver transplantation
Michael L Volk1, Jose C Hernandez, Anna S Lok
1Department of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI, USA. mvolk@med.umich.edu
Insights
The Charlson Comorbidity Index (CCI) predicts liver transplant survival. A modified index, CCI-orthotopic LT (OLT), improves prediction accuracy for post-transplant outcomes in patients with comorbidities.
Area of Science:
- Transplantation Medicine
- Medical Statistics
- Comorbidity Assessment
Background:
- Liver transplantation (LT) success depends on patient survival post-procedure.
- Current models lack accuracy in predicting post-LT survival.
- Pre-transplant comorbidities significantly impact LT outcomes.
Purpose of the Study:
- To evaluate the Charlson Comorbidity Index (CCI) as a predictor of post-liver transplantation survival.
- To identify specific comorbidities that affect survival after LT.
- To develop a recalibrated comorbidity index for the LT population.
Main Methods:
- Retrospective study of 624 patients undergoing LT.
- Analysis of pre-transplant comorbidities, demographics, and liver disease severity.
- Proportional hazards analysis to assess predictors of survival.
- Recalibration of the CCI to create the CCI-orthotopic LT (OLT) index.
Main Results:
- 40% of patients had at least one pre-transplant comorbidity.
- CCI was an independent predictor of post-LT survival (HR 1.21 per unit, P < 0.001).
- Coronary disease, diabetes, COPD, connective tissue disease, and renal insufficiency independently predicted survival.
- The CCI-OLT index showed improved predictive value (likelihood ratio chi-squared from 15 to 24).
Conclusions:
- Pre-transplant comorbidities like coronary disease, diabetes, COPD, connective tissue disease, and renal insufficiency diminish survival after LT.
- The modified CCI-OLT index offers a more accurate tool for predicting post-transplant survival.
- This index can aid in patient selection and management for liver transplantation.
Abstract:
The benefit of liver transplantation (LT) is determined not only by the severity of illness, but also by the likelihood of posttransplantation survival. Current models are unable to accurately predict which patients will have the best posttransplant survival. We hypothesized that the Charlson Comorbidity Index (CCI), which includes nine comorbidities, could be used to predict survival after LT. We performed a retrospective study of 624 patients undergoing LT, with a median follow-up time of 4.3 yr. Data on pretransplant comorbidities were collected, along with potential confounders such as age, gender, etiology, and severity of liver disease. Proportional hazards analysis was performed to determine the independent effect of each variable on posttransplantation survival, and to recalibrate the CCI for use in the liver transplant population. A total of 40% of patients had 1 or more comorbidities prior to transplantation. In the multivariate analysis, CCI was an independent predictor of posttransplantation survival (hazard ratio [HR] 1.21 per unit, P < 0.001). When the individual components of the CCI were analyzed, coronary disease (HR 2.33), diabetes (HR 1.38), chronic obstructive pulmonary disease (COPD) (HR 2.67), connective tissue disease (HR 2.32), and renal insufficiency (HR 1.61) were all independent predictors of posttransplant survival. The CCI was recalibrated using a simplified weighting system to create the CCI-orthotopic LT (OLT), which improved the likelihood ratio chi-squared value from 15 to 24 for predicting posttransplantation survival. In conclusion, survival after LT is diminished in patients with pretransplantation coronary disease, diabetes, COPD, connective tissue disease, and renal insufficiency. We demonstrate the usefulness of a modified comorbidity index, the CCI-OLT, for predicting posttransplantation survival.