A novel prognostic nomogram for older patients with acute-on-chronic liver diseases (AoCLD): a nationwide, multicentre, prospective cohort study

Author:

Zou Ju1,Li Hai234,Deng Guohong45,Wang Xianbo46,Zheng Xin47,Chen Jinjun48,Meng Zhongji49,Zheng Yubao410,Gao Yanhang411,Qian Zhiping412,Liu Feng413,Lu Xiaobo414,Shi Yu415,Shang Jia416,Huang Yan14,Chen Ruochan1

Affiliation:

1. Central South University Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, , Changsha, China

2. Shanghai Jiao Tong University Department of Gastroenterology, School of Medicine, Ren Ji Hospital, , Shanghai, China

3. Shanghai Institute of Digestive Disease, Chinese Ministry of Health (Shanghai Jiao Tong University) Key Laboratory of Gastroenterology and Hepatology, , Shanghai, China

4. Chinese Chronic Liver Failure (CLIF) Consortium , Shanghai, China

5. Third Military Medical University (Army Medical University) Department of Infectious Diseases, Southwest Hospital, , Chongqing, China

6. Capital Medical University Center of Integrative Medicine, Beijing Ditan Hospital, , Beijing, China

7. Huazhong University of Science and Technology Department of Infectious Diseases, Institute of Infection and Immunology, Tongji Medical College, Union Hospital, , Wuhan, China

8. Southern Medical University Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, , Guangzhou, China

9. Hubei University of Medicine Department of Infectious Diseases, Taihe Hospital, , Shiyan, China

10. Department of Infectious Diseases, The Third Affiliated Hospital, Sun Yat-sen University , Guangzhou, China

11. The First Hospital of Jilin University Department of Hepatology, , Changchun, China

12. Fudan University Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, , Shanghai, China

13. The Second Hospital of Shandong University Department of Infectious Diseases and Hepatology, , Jinan, China

14. The First Affiliated Hospital of Xinjiang Medical University Infectious Disease Center, , Ürümqi, China

15. Zhejiang University School of Medicine State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, , Hangzhou, China

16. Department of Infectious Diseases , Henan Provincial People’s Hospital, Zhengzhou, China

Abstract

Abstract Background the incidence of acute-on-chronic liver disease (AoCLD) is increasing. Objective to investigate the clinical features and risk factors of AoCLD and construct an effective prognostic nomogram model for older patients with AoCLD. Methods data from 3,970 patients included in the CATCH-LIFE study were used, including 2,600 and 1,370 patients in the training and validation sets, respectively. Multivariate Cox regression analyses were performed to identify predictive risk factors in older individuals, and an easy-to-use nomogram was established. Performance was assessed using area under the curve, calibration plots and decision curve analysis (DCA). Results of the 3,949 patients with AoCLD, 809 were older with a higher proportion of autoimmune-related abnormalities, hepatitis C viral infection and schistosomiasis. In the older patient group, the incidence of cirrhosis, hepatic encephalopathy (HE), infection, ascites and gastrointestinal bleeding; neutrophil-to-lymphocyte ratio (NLR), aspartate-to-alanine transaminase ratio (AST/ALT), creatinine and blood urea nitrogen levels were higher, whereas incidence of acute-on-chronic liver failure, white blood cell, platelet and haemoglobin levels; albumin, total bilirubin (TB), AST and ALT levels; international normalised ratio (INR), estimated glomerular filtration rate and blood potassium levels were lower than in the younger group. The final nomogram was developed based on the multivariate Cox analysis in training cohort using six risk factors: ascites, HE grades, NLR, TB, INR and AST/ALT. Liver transplantation-free mortality predictions were comparable between the training and validation sets. DCA showed higher net benefit for the nomograph than the treat-all or treat-none strategies, with wider threshold probabilities ranges. Conclusions our analysis will assist clinical predictions and prognoses in older patients with AoCLD.

Funder

Innovation-Driven Project of Central South University

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

Geriatrics and Gerontology,Aging,General Medicine

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