Development and validation of a novel nomogram for predicting long-term survival in patients with decompensated cirrhosis undergoing TIPS

Background and aims: Transjugular intrahepatic portosystemic shunt (TIPS) is a critical intervention for complications of decompensated cirrhosis. However, traditional scoring systems like MELD and CTP have limitations in predicting long-term post-TIPS survival, particularly in populations with viral hepatitis. This study aimed to develop and validate a novel nomogram to predict 1-, 3-, and 5-year overall survival (OS) in patients with decompensated cirrhosis undergoing TIPS. Methods: = 123). Independent prognostic factors were identified using multivariate Cox proportional hazards regression to construct a nomogram. Model performance was evaluated using time-dependent receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA), and compared with MELD-Na and CTP scores. Results: Six independent predictors were identified: age, serum ammonia, total cholesterol, total bilirubin, albumin, and creatinine. The nomogram demonstrated superior discrimination, the areas under the ROC curve (AUCs) for 1-, 3-, and 5-year OS were 0.79, 0.82, and 0.84 in the training cohort, and 0.81, 0.75, and 0.80 in the validation cohort, respectively. Calibration curves showed excellent agreement between predicted and observed survival, and DCA indicated significant clinical net benefit. Conclusion: We developed a robust nomogram integrating hepatic, renal, and metabolic indicators to predict long-term survival in post-TIPS patients. This model offers superior accuracy compared to traditional scoring systems, facilitating better risk stratification and individualized clinical decision-making.

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Publication Details

Journal
Frontiers in Medicine
Published
2026-04-07
DOI
https://doi.org/10.3389/fmed.2026.1766352
Primary Topic
Liver Disease and Transplantation
Type
article
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article

Development and validation of a novel nomogram for predicting long-term survival in patients with decompensated cirrhosis undergoing TIPS

Zhibo Xia, Shoubin Ning, Zhimeng Jiang, Zheyi Han et al.
Frontiers in Medicine
Liver Disease and Transplantation
article

Development and validation of a novel nomogram for predicting long-term survival in patients with decompensated cirrhosis undergoing TIPS

Zhibo Xia, Shoubin Ning, Zhimeng Jiang, Zheyi Han, Baojie Wei, Nianjun Xiao, Jianguo Chu, Wencai Lai
article en

Abstract

Background and aims: Transjugular intrahepatic portosystemic shunt (TIPS) is a critical intervention for complications of decompensated cirrhosis. However, traditional scoring systems like MELD and CTP have limitations in predicting long-term post-TIPS survival, particularly in populations with viral hepatitis. This study aimed to develop and validate a novel nomogram to predict 1-, 3-, and 5-year overall survival (OS) in patients with decompensated cirrhosis undergoing TIPS. Methods: = 123). Independent prognostic factors were identified using multivariate Cox proportional hazards regression to construct a nomogram. Model performance was evaluated using time-dependent receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA), and compared with MELD-Na and CTP scores. Results: Six independent predictors were identified: age, serum ammonia, total cholesterol, total bilirubin, albumin, and creatinine. The nomogram demonstrated superior discrimination, the areas under the ROC curve (AUCs) for 1-, 3-, and 5-year OS were 0.79, 0.82, and 0.84 in the training cohort, and 0.81, 0.75, and 0.80 in the validation cohort, respectively. Calibration curves showed excellent agreement between predicted and observed survival, and DCA indicated significant clinical net benefit. Conclusion: We developed a robust nomogram integrating hepatic, renal, and metabolic indicators to predict long-term survival in post-TIPS patients. This model offers superior accuracy compared to traditional scoring systems, facilitating better risk stratification and individualized clinical decision-making.

Frontiers in MedicineVol. 13
Hebei North University (CN), United States Air Force (US)
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 37%
Liver Disease and Transplantation
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