Date: Saturday, May 2, 2015
Session Time: 5:30pm-7:30pm
Presentation Time: 5:30pm-7:30pm
Location: Exhibit Hall E
Background: Comorbidity assessment is important to the informed interpretation of kidney allograft outcomes. Weights assigned to comorbidities to predict survival may vary based on the type of index disease and advances in the management of the comorbidities. We aimed to develop a modified Charlson comorbidity index (CCI) in renal allograft recipients (mCCI-KT), thereby improving risk stratification for mortality.
Methods: A total of 3,765 recipients who received kidney transplantation surgery at Asan medical center between June 1990 and January 2012 (N=2,773) and at Seoul national university hospital between January 1997 and August 2012 (N=992) were included to develop comorbidity score. The weights of comorbidities per the CCI were recalibrated using a Cox proportional hazards model. The modified score was validated in an independent nationwide cohort (n=1,538).
Results: The Cox proportional hazards model revealed that peripheral vascular disease, mild liver disease, and diabtes with end-organ damage in the CCI significantly predicted mortality. Thus, the mCCI-KT included 3 comorbidities with recalibrated severity weights. In the validation cohort, both the CCI and the mCCI-KT were correlated with mortality. The mCCI-KT showed modest increases in c statistics compared with the CCI (0.565 versus 0.534, P=0.002).
Conclusions: The mCCI-KT stratifies the risk better for mortality in renal allograft recipients compared with the CCI, suggesting that it could be a preferred index for use in clinical practice.
To cite this abstract in AMA style:Park J, Bae E, Kim S, Kim D, Lim C-S, Joo K, Kim Y, Lee J. Prediction of Long-Term Prognosis of the Kidney Transplantation Using Comorbidity Score [abstract]. Am J Transplant. 2015; 15 (suppl 3). https://atcmeetingabstracts.com/abstract/prediction-of-long-term-prognosis-of-the-kidney-transplantation-using-comorbidity-score/. Accessed January 17, 2020.
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