Application of hepatic venous pressure gradient to predict prognosis in cirrhotic patients with a low model for end-stage liver disease score

Young Chang, Ki Tae Suk, Soung Won Jeong, Jeong Ju Yoo, Sang Gyune Kim, Young Seok Kim, Sae Hwan Lee, Hong Soo Kim, Seong Hee Kang, Soon Koo Baik, Dong Joon Kim, Moon Young Kim, Jae Young Jang

Research output: Contribution to journalArticlepeer-review

Abstract

Background/aim: We aimed to derive a model representing the dynamic status of cirrhosis and to discriminate patients with poor prognosis even if the Model for End-Stage Liver Disease (MELD) score is low. Methods: This study retrospectively enrolled 700 cirrhotic patients with a MELD score of less than 20 who underwent hepatic venous pressure gradient (HVPG) measurement. A model named H6C score (= HVPG + 6 × CTP score) to predict overall survival was derived and internal and external validations were conducted with the derivation and validation cohorts. Results: The H6C score using the HVPG was developed based on a multivariate Cox regression analysis. The H6C score showed a great predictive power for overall survival with a time-dependent AUC of 0.733, which was superior to that of a MELD of 0.602. In patients with viral etiology, the performance of the H6C score was much improved with a time-dependent AUC of 0.850 and was consistently superior to that of the MELD (0.748). Patients with an H6C score below 45 demonstrated an excellent overall survival with a 5-year survival rate of 91.5%. Whereas, patients with an H6C score above 64 showed a dismal prognosis with a 5-year survival rate of 51.1%. The performance of the H6C score was further verified to be excellent in the validation cohort. Conclusion: This new model using the HVPG provides an excellent predictive power in cirrhotic patients, especially with viral etiology. In patients with H6C above 64, it would be wise to consider early liver transplantation to positively impact long-term survival, even when the MELD score is low.

Original languageEnglish
Article number805
JournalDiagnostics
Volume10
Issue number10
DOIs
Publication statusPublished - 2020 Oct 10

Bibliographical note

Funding Information:
Funding: This work was supported by the Soonchunhyang University Research Fund.

Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.

All Science Journal Classification (ASJC) codes

  • Clinical Biochemistry

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