HDL-C levels added to the MELD score improves 30-day mortality prediction in Asian patients with cirrhosis

Author:

Wang Yue1,Shen Wenjuan2,Huang Fang3,Yu Chenyan2,Xi Liting2,Gao Jingwen2,Yin Minyue2,Liu Xiaolin2,Lin Jiaxi2,Liu Lu2,Zhang Huixian2,Zhu Jinzhou2ORCID,Hong Yu2

Affiliation:

1. Department of Hepatology, The Fifth People’s Hospital of Suzhou, Suzhou, China

2. Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, China

3. Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China

Abstract

Objectives Lower high-density lipoprotein cholesterol (HDL-C) levels have been observed in chronic liver disease patients. The aim of this study was to develop a model that incorporates HDL-C levels and the Model for End-stage Liver Disease (MELD) score to predict 30-day mortality in Asian cirrhosis patients. Methods Cirrhosis patients were recruited from two hospitals in this retrospective observational study. Propensity score matching was used. The model’s performance was evaluated, including its ability to predict 30-day mortality, accuracy, and clinical utility. Net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were calculated. Results The HDL-C + MELD model showed good ability to predict 30-day mortality (area under the curve, 0.784; sensitivity, 0.797; specificity, 0.632), which was better than that of the MELD score alone. It also showed good calibration and a net benefit for all patients, which was better than that of the MELD score, except at the threshold probability. NRI and IDI results confirmed that adding HDL-C levels to the MELD score improved the model’s performance in predicting 30-day mortality. Conclusion We added HDL-C levels to the MELD score to predict 30-day mortality in Asian patients with cirrhosis. The HDLC + MELD model shows good ability to predict 30-day mortality and clinical utility.

Publisher

SAGE Publications

Subject

Biochemistry (medical),Cell Biology,Biochemistry,General Medicine

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