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The Added Value of Sarcopenia on Existing Risk Scores to Predict Mortality after TIPS Placement: A Multicenter Study
Bin Xiong1, Chongtu Yang2, Xiaoli Zhu3
1Department of Interventional Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China (B.X., X.W.).
Rationale And Objectives:
Multiple prognostic scores have been applied for predicting survival after TIPS placement. The aim was to evaluate the added value of sarcopenia on existing risk scores and develop a sarcopenia-based scoring system for survival prediction and risk stratification.
Materials And Methods:
In the derivation cohort of 386 cirrhotic patients undergoing TIPS, five risk scores (Child-Pugh, MELD, MELD-Na, MELD 3.0, and FIPS) were compared for prediction of short- and long-term mortality after TIPS. Sarcopenia was diagnosed based on the L3 skeletal muscle index and was incorporated into existing scores to assess its added value. A novel sarcopenia-based score was developed and externally validated in an independent cohort of 198 patients undergoing TIPS.
Results:
Among existing scores, the FIPS score showed the highest discrimination (c-index: 0.756-0.783) and calibration (Brier score: 0.059-0.127). Besides, the FIPS score was significantly associated with the severity of baseline sarcopenia and reversal of sarcopenia after TIPS. The inclusion of sarcopenia improved discrimination of existing scores in different degrees and sarcopenia could stratify the low-risk categories deemed by these scores. A FIPS-sarcopenia score was developed, showing superior discrimination over existing scores (c-index: 0.777-0.804 in the derivation cohort, 0.738-0.788 in the validation cohort). With a determined cutoff of 0.8, this score allowed for the identification of two prognostic subgroups with distinct prognoses.
Conclusion:
FIPS score was highly correlated with the severity of sarcopenia and sarcopenia reversal after TIPS, and sarcopenia could improve the prognostic ability of existing scores. A FIPS-sarcopenia score was developed and validated, showing improved survival prediction and risk stratification.
