Retrospective Study
Copyright ©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Dec 7, 2020; 26(45): 7204-7221
Published online Dec 7, 2020. doi: 10.3748/wjg.v26.i45.7204
Liver fibrosis index-based nomograms for identifying esophageal varices in patients with chronic hepatitis B related cirrhosis
Shi-Hao Xu, Fang Wu, Le-Hang Guo, Wei-Bing Zhang, Hui-Xiong Xu
Shi-Hao Xu, Le-Hang Guo, Wei-Bing Zhang, Hui-Xiong Xu, Department of Medical Ultrasound, Shanghai Tenth People’s Hospital of Nanjing Medical University, Shanghai 200072, China
Shi-Hao Xu, Department of Ultrasonography, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
Fang Wu, Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
Author contributions: Xu SH and Wu F carried out the ultrasonography and endoscopy in the study, performed the data collection, and drafted the manuscript; Guo LH and Zhang WB helped to draft the manuscript and performed the statistical analysis; Xu HX conceived the study, participated in its coordination, and gave final approval of the version to be published; all authors read and approved the final manuscript.
Supported by The Natural Science Foundation of Zhejiang Province, China, No. LY18H030011.
Institutional review board statement: The study was reviewed and approved (approval No. 2016-184) by the Ethics Committee of The First Affiliated Hospital of Wenzhou Medical University.
Informed consent statement: Informed written consent was obtained from the patients prior to the study.
Conflict-of-interest statement: We have no financial relationships to disclose.
Data sharing statement: No additional data are available.
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: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Hui-Xiong Xu, PhD, Chief Physician, Professor, Department of Medical Ultrasound, Shanghai Tenth People’s Hospital of Nanjing Medical University, No. 301 Yanchang Middle Road, Jing’an District, Shanghai 200072, China. xuhuixiong@126.com
Received: September 2, 2020
Peer-review started: September 2, 2020
First decision: September 30, 2020
Revised: October 7, 2020
Accepted: November 2, 2020
Article in press: November 2, 2020
Published online: December 7, 2020
Processing time: 93 Days and 4.8 Hours
Abstract
BACKGROUND

Esophageal varices (EV) are the most fatal complication of chronic hepatitis B (CHB) related cirrhosis. The prognosis is poor, especially after the first upper gastrointestinal hemorrhage.

AIM

To construct nomograms to predict the risk and severity of EV in patients with CHB related cirrhosis.

METHODS

Between 2016 and 2018, the patients with CHB related cirrhosis were recruited and divided into a training or validation cohort at The First Affiliated Hospital of Wenzhou Medical University. Clinical and ultrasonic parameters that were closely related to EV risk and severity were screened out by univariate and multivariate logistic regression analyses, and integrated into two nomograms, respectively. Both nomograms were internally and externally validated by calibration, concordance index (C-index), receiver operating characteristic curve, and decision curve analyses (DCA).

RESULTS

A total of 307 patients with CHB related cirrhosis were recruited. The independent risk factors for EV included Child-Pugh class [odds ratio (OR) = 7.705, 95% confidence interval (CI) = 2.169-27.370, P = 0.002], platelet count (OR = 0.992, 95%CI = 0.984-1.000, P = 0.044), splenic portal index (SPI) (OR = 3.895, 95%CI = 1.630-9.308, P = 0.002), and liver fibrosis index (LFI) (OR = 3.603, 95%CI = 1.336-9.719, P = 0.011); those of EV severity included Child-Pugh class (OR = 5.436, 95%CI = 2.112-13.990, P < 0.001), mean portal vein velocity (OR = 1.479, 95%CI = 1.043-2.098, P = 0.028), portal vein diameter (OR = 1.397, 95%CI = 1.021-1.912, P = 0.037), SPI (OR = 1.463, 95%CI = 1.030-2.079, P = 0.034), and LFI (OR = 3.089, 95%CI = 1.442-6.617, P = 0.004). Two nomograms (predicting EV risk and severity, respectively) were well-calibrated and had a favorable discriminative ability, with C-indexes of 0.916 and 0.846 in the training cohort, respectively, higher than those of other predictive indexes, like LFI (C-indexes = 0.781 and 0.738), SPI (C-indexes = 0.805 and 0.714), ratio of platelet count to spleen diameter (PSR) (C-indexes = 0.822 and 0.726), King’s score (C-indexes = 0.694 and 0.609), and Lok index (C-indexes = 0.788 and 0.700). The areas under the curves (AUCs) of the two nomograms were 0.916 and 0.846 in the training cohort, respectively, higher than those of LFI (AUCs = 0.781 and 0.738), SPI (AUCs = 0.805 and 0.714), PSR (AUCs = 0.822 and 0.726), King’s score (AUCs = 0.694 and 0.609), and Lok index (AUCs = 0.788 and 0.700). Better net benefits were shown in the DCA. The results were validated in the validation cohort.

CONCLUSION

Nomograms incorporating clinical and ultrasonic variables are efficient in noninvasively predicting the risk and severity of EV.

Keywords: Real-time tissue elastography; Chronic hepatitis B; Cirrhosis; Esophageal varices; Nomogram; Decision curve analysis

Core Tip: In this study, we constructed two liver fibrosis index (LFI)-based nomograms for predicting the risk and severity of esophageal varices (EV) in patients with chronic hepatitis B related cirrhosis, through incorporating the clinical and ultrasonic variables screened out by univariate and multivariate logistic regression analyses. The nomograms were well-calibrated and had a good discriminative ability that was validated by receiver operating characteristic curve, concordance index, and decision curve analyses. Both nomograms were more efficient than LFI, splenic portal index, ratio of platelet count to spleen diameter, King’s score, and Lok index in the training and validation cohorts, and can be clinically used for diagnosing EV and making clinical interventions.