Nomogram based on liver stiffness and spleen area with ultrasound for posthepatectomy liver failure: A multicenter study

IF 4.3 3区 医学 Q1 GASTROENTEROLOGY & HEPATOLOGY World Journal of Gastroenterology Pub Date : 2024-07-21 DOI:10.3748/wjg.v30.i27.3314
Guangwen Cheng, Yan Fang, Li-Yun Xue, Yan Zhang, Xiao-Yan Xie, Xiao-Hui Qiao, Xue-Qi Li, Jia Guo, Hong Ding
{"title":"Nomogram based on liver stiffness and spleen area with ultrasound for posthepatectomy liver failure: A multicenter study","authors":"Guangwen Cheng, Yan Fang, Li-Yun Xue, Yan Zhang, Xiao-Yan Xie, Xiao-Hui Qiao, Xue-Qi Li, Jia Guo, Hong Ding","doi":"10.3748/wjg.v30.i27.3314","DOIUrl":null,"url":null,"abstract":"BACKGROUND\n Liver stiffness (LS) measurement with two-dimensional shear wave elastography (2D-SWE) correlates with the degree of liver fibrosis and thus indirectly reflects liver function reserve. The size of the spleen increases due to tissue proliferation, fibrosis, and portal vein congestion, which can indirectly reflect the situation of liver fibrosis/cirrhosis. It was reported that the size of the spleen was related to posthepatectomy liver failure (PHLF). So far, there has been no study combining 2D-SWE measurements of LS with spleen size to predict PHLF. This prospective study aimed to investigate the utility of 2D-SWE assessing LS and spleen area (SPA) for the prediction of PHLF in hepatocellular carcinoma (HCC) patients and to develop a risk prediction model.\n AIM\n To investigate the utility of 2D-SWE assessing LS and SPA for the prediction of PHLF in HCC patients and to develop a risk prediction model.\n METHODS\n This was a multicenter observational study prospectively analyzing patients who underwent hepatectomy from October 2020 to March 2022. Within 1 wk before partial hepatectomy, ultrasound examination was performed to measure LS and SPA, and blood was drawn to evaluate the patient’s liver function and other conditions. Least absolute shrinkage and selection operator logistic regression and multivariate logistic regression analysis was applied to identify independent predictors of PHLF and develop a nomogram. Nomogram performance was validated further. The diagnostic performance of the nomogram was evaluated with receiver operating characteristic curve compared with the conventional models, including the model for end-stage liver disease (MELD) score and the albumin-bilirubin (ALBI) score.\n RESULTS\n A total of 562 HCC patients undergoing hepatectomy (500 in the training cohort and 62 in the validation cohort) were enrolled in this study. The independent predictors of PHLF were LS, SPA, range of resection, blood loss, international normalized ratio, and total bilirubin. Better diagnostic performance of the nomogram was obtained in the training [area under receiver operating characteristic curve (AUC): 0.833; 95% confidence interval (95%CI): 0.792-0.873; sensitivity: 83.1%; specificity: 73.5%] and validation (AUC: 0.802; 95%CI: 0.684-0.920; sensitivity: 95.5%; specificity: 52.5%) cohorts compared with the MELD score and the ALBI score.\n CONCLUSION\n This PHLF nomogram, mainly based on LS by 2D-SWE and SPA, was useful in predicting PHLF in HCC patients and presented better than MELD score and ALBI score.","PeriodicalId":23778,"journal":{"name":"World Journal of Gastroenterology","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"World Journal of Gastroenterology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3748/wjg.v30.i27.3314","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

BACKGROUND Liver stiffness (LS) measurement with two-dimensional shear wave elastography (2D-SWE) correlates with the degree of liver fibrosis and thus indirectly reflects liver function reserve. The size of the spleen increases due to tissue proliferation, fibrosis, and portal vein congestion, which can indirectly reflect the situation of liver fibrosis/cirrhosis. It was reported that the size of the spleen was related to posthepatectomy liver failure (PHLF). So far, there has been no study combining 2D-SWE measurements of LS with spleen size to predict PHLF. This prospective study aimed to investigate the utility of 2D-SWE assessing LS and spleen area (SPA) for the prediction of PHLF in hepatocellular carcinoma (HCC) patients and to develop a risk prediction model. AIM To investigate the utility of 2D-SWE assessing LS and SPA for the prediction of PHLF in HCC patients and to develop a risk prediction model. METHODS This was a multicenter observational study prospectively analyzing patients who underwent hepatectomy from October 2020 to March 2022. Within 1 wk before partial hepatectomy, ultrasound examination was performed to measure LS and SPA, and blood was drawn to evaluate the patient’s liver function and other conditions. Least absolute shrinkage and selection operator logistic regression and multivariate logistic regression analysis was applied to identify independent predictors of PHLF and develop a nomogram. Nomogram performance was validated further. The diagnostic performance of the nomogram was evaluated with receiver operating characteristic curve compared with the conventional models, including the model for end-stage liver disease (MELD) score and the albumin-bilirubin (ALBI) score. RESULTS A total of 562 HCC patients undergoing hepatectomy (500 in the training cohort and 62 in the validation cohort) were enrolled in this study. The independent predictors of PHLF were LS, SPA, range of resection, blood loss, international normalized ratio, and total bilirubin. Better diagnostic performance of the nomogram was obtained in the training [area under receiver operating characteristic curve (AUC): 0.833; 95% confidence interval (95%CI): 0.792-0.873; sensitivity: 83.1%; specificity: 73.5%] and validation (AUC: 0.802; 95%CI: 0.684-0.920; sensitivity: 95.5%; specificity: 52.5%) cohorts compared with the MELD score and the ALBI score. CONCLUSION This PHLF nomogram, mainly based on LS by 2D-SWE and SPA, was useful in predicting PHLF in HCC patients and presented better than MELD score and ALBI score.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于肝硬度和脾脏面积的超声波肝切除术后肝功能衰竭提名图:一项多中心研究
背景 通过二维剪切波弹性成像(2D-SWE)测量肝脏硬度(LS)与肝脏纤维化程度相关,从而间接反映肝功能储备情况。组织增生、纤维化和门静脉充血会导致脾脏体积增大,从而间接反映肝纤维化/肝硬化的情况。有报道称,脾脏大小与肝切除术后肝功能衰竭(PHLF)有关。迄今为止,还没有研究将 LS 的 2D-SWE 测量与脾脏大小相结合来预测 PHLF。本前瞻性研究旨在探讨二维-SWE评估LS和脾脏面积(SPA)对预测肝细胞癌(HCC)患者PHLF的效用,并建立风险预测模型。目的 研究二维-SWE评估LS和SPA对预测HCC患者PHLF的实用性,并建立风险预测模型。方法 这是一项多中心观察性研究,对 2020 年 10 月至 2022 年 3 月期间接受肝切除术的患者进行前瞻性分析。在肝部分切除术前1周内,进行超声检查以测量LS和SPA,并抽血评估患者的肝功能和其他情况。应用最小绝对收缩和选择操作者逻辑回归和多变量逻辑回归分析来确定 PHLF 的独立预测因素,并绘制了一个提名图。对提名图的性能进行了进一步验证。用接收器操作特征曲线评估了提名图与传统模型(包括终末期肝病模型(MELD)评分和白蛋白-胆红素(ALBI)评分)的诊断性能。结果 本研究共纳入了 562 例接受肝切除术的 HCC 患者(其中 500 例为训练队列,62 例为验证队列)。PHLF的独立预测因素包括LS、SPA、切除范围、失血量、国际标准化比率和总胆红素。在训练过程中,提名图获得了更好的诊断性能[接收器操作特征曲线下面积(AUC):0.833;95% 置信度:0.833;95% 置信度:0.833]:0.833;95% 置信区间 (95%CI):0.792-0.873;灵敏度:83.1%;特异度:73.5%]和验证队列(AUC:0.802;95%CI:0.684-0.920;灵敏度:95.5%;特异度:52.5%)中的诊断效果优于 MELD 评分和 ALBI 评分。结论 该PHLF提名图主要基于2D-SWE和SPA的LS,有助于预测HCC患者的PHLF,其结果优于MELD评分和ALBI评分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
World Journal of Gastroenterology
World Journal of Gastroenterology 医学-胃肠肝病学
CiteScore
7.80
自引率
4.70%
发文量
464
审稿时长
2.4 months
期刊介绍: The primary aims of the WJG are to improve diagnostic, therapeutic and preventive modalities and the skills of clinicians and to guide clinical practice in gastroenterology and hepatology.
期刊最新文献
Autophagy and its role in gastrointestinal diseases. Beyond bacteria: Role of non-bacterial gut microbiota species in inflammatory bowel disease and colorectal cancer progression. Computed tomography-based multi-organ radiomics nomogram model for predicting the risk of esophagogastric variceal bleeding in cirrhosis. Construction and validation of a pancreatic cancer prognostic model based on genes related to the hypoxic tumor microenvironment. Dual-targeted treatment for inflammatory bowel disease: Whether fecal microbiota transplantation can be an important part of it.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1