Tang XW, Ren WS, Huang S, Zou K, Xu H, Shi XM, Zhang W, Shi L, Lü MH. Development and validation of a nomogram for predicting in-hospital mortality of intensive care unit patients with liver cirrhosis. World J Hepatol 2024; 16(4): 625-639 [PMID: PMC11056901 DOI: 10.4254/wjh.v16.i4.625]
Corresponding Author of This Article
Mu-Han Lü, MD, PhD, Chief Physician, Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, No. 25 Taiping Road, Jiangyang District, Luzhou 646099, Sichuan Province, China. lvmuhan@swmu.edu.cn
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Hepatol. Apr 27, 2024; 16(4): 625-639 Published online Apr 27, 2024. doi: 10.4254/wjh.v16.i4.625
Development and validation of a nomogram for predicting in-hospital mortality of intensive care unit patients with liver cirrhosis
Xiao-Wei Tang, Wen-Sen Ren, Shu Huang, Kang Zou, Huan Xu, Xiao-Min Shi, Wei Zhang, Lei Shi, Mu-Han Lü
Xiao-Wei Tang, Wen-Sen Ren, Kang Zou, Huan Xu, Xiao-Min Shi, Wei Zhang, Lei Shi, Mu-Han Lü, Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou 646099, Sichuan Province, China
Xiao-Wei Tang, Wen-Sen Ren, Kang Zou, Huan Xu, Xiao-Min Shi, Wei Zhang, Lei Shi, Mu-Han Lü, Nuclear Medicine and Molecular Imaging Key Laboratory, The Affiliated Hospital of Southwest Medical University, Luzhou 646099, Sichuan Province, China
Shu Huang, Department of Gastroenterology, Lianshui People’ Hospital of Kangda College Affiliated to Nanjing Medical University, Huaian 223499, Jiangsu Province, China
Co-first authors: Xiao-Wei Tang and Wen-Sen Ren.
Author contributions: Tang XW and Ren WS contributed equally to this work; Ren WS, Lü MH, Tang XW, and Huang S designed the research study; Ren WS, Zou K, Xu H and Shi XM collected the data; Ren WS, Zhang W and Shi L analyzed the data and constructed the nomogram model; Ren WS, Lü MH and Tang XW wrote the manuscript. All authors have read and approve the final manuscript.
Supported byNatural Science Foundation of Sichuan Province, No. 2022NSFSC1378.
Institutional review board statement: This study was reviewed and approved by the Institutional Review Committee of the Affiliated Hospital of Southwest Medical University (approval No. KY2023387).
Informed consent statement: This is an informed consent exemption statement. All data were downloaded from the Medical Information Mart for Intensive Care IV and the eICU collaborative research database. The two databases are publicly available. Before extracting data from the database, we completed the Collaborative Institutional Training Initiative Program course and were authorized to use the database.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Mu-Han Lü, MD, PhD, Chief Physician, Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, No. 25 Taiping Road, Jiangyang District, Luzhou 646099, Sichuan Province, China. lvmuhan@swmu.edu.cn
Received: October 17, 2023 Peer-review started: October 17, 2023 First decision: January 2, 2024 Revised: February 23, 2024 Accepted: March 18, 2024 Article in press: March 18, 2024 Published online: April 27, 2024 Processing time: 189 Days and 16.6 Hours
ARTICLE HIGHLIGHTS
Research background
Liver cirrhosis patients in decompensated stage often suffer from hepatic and extrahepatic organ failure and part of them requires intensive care support.
Research motivation
Liver cirrhosis patients admitted to intensive care unit have a high mortality rate.
Research objectives
To identify patients at high risk timely and give intervention actively.
Research methods
We extracted clinical data of liver cirrhosis patients from the Medical Information Mart for Intensive Care IV and electronic intensive care unit (eICU) collaborative research database. Predictors after selection were used to construct a nomogram prediction model. The efficacy of the model was tested by external validation.
Research results
The model gained the area under the receiver operating characteristic curve of 0.864 and 0.808 in the Medical Information Mart for Intensive Care IV and eICU collaborative research respectively. The calibration curve also confirmed the predictive ability of the model, while the decision curve confirmed the clinical use value.
Research conclusions
The nomogram model has high accuracy in predicting in-hospital mortality.
Research perspectives
The model helps us identify patients at high risk timely and give intervention actively, which may help improve the prognosis of the patient.
