Evidence map›Paper›PMID 40933462›Full record

ArticleWorld journal of gastroenterology2025

Noninvasive model based on liver and spleen stiffness for predicting clinical decompensation in patients with cirrhosis.

Long-Bao Yang, Xin Gao, Meng Xu, Yong Li, Lei Dong, Xin-Di Huang, Xiao She, Dan-Yang Zhang, Qian-Wen Zhang, Chen-Yu Liu and 2 more

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Article in World journal of gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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12 authors.

Long-Bao YangDepartment of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, Shaanxi Province, China.
Xin GaoDepartment of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, Shaanxi Province, China.
Meng XuDepartment of General Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, Shaanxi Province, China.
Yong LiDepartment of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, Shaanxi Province, China.
Lei DongDepartment of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, Shaanxi Province, China.
Xin-Di HuangDepartment of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, Shaanxi Province, China.
Xiao SheDepartment of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, Shaanxi Province, China.
Dan-Yang ZhangDepartment of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, Shaanxi Province, China.
Qian-Wen ZhangDepartment of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, Shaanxi Province, China.
Chen-Yu LiuDepartment of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, Shaanxi Province, China.
Shu-Ting FanDepartment of Supply, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, Shaanxi Province, China.
Yan WangDepartment of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, Shaanxi Province, China. sarrye@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe hepatic venous pressure gradient serves as a crucial parameter for assessing portal hypertension and predicting clinical decompensation in individuals with cirrhosis. However, owing to its invasive nature, there has been growing interest in identifying noninvasive alternatives. Transient elastography offers a promising approach for measuring liver stiffness and spleen stiffness, which can help estimate the likelihood of decompensation in patients with chronic liver disease.

aimTo investigate the predictive ability of the liver stiffness measurement (LSM) and spleen stiffness measurement (SSM) in conjunction with other noninvasive indicators for clinical decompensation in patients suffering from compensatory cirrhosis and portal hypertension.

methodsThis study was a retrospective analysis of the clinical data of 200 patients who were diagnosed with viral cirrhosis and who received computed tomography, transient elastography, ultrasound, and endoscopic examinations at The Second Affiliated Hospital of Xi'an Jiaotong University between March 2020 and November 2022. Patient classification was performed in accordance with the Baveno VI consensus. The area under the curve was used to evaluate and compare the predictive accuracy across different patient groups. The diagnostic effectiveness of several models, including the liver stiffness-spleen diameter-platelet ratio, variceal risk index, aspartate aminotransferase-alanine aminotransferase ratio, Baveno VI criteria, and newly developed models, was assessed. Additionally, decision curve analysis was carried out across a range of threshold probabilities to evaluate the clinical utility of these predictive factors.

resultsUnivariate and multivariate analyses demonstrated that SSM, LSM, and the spleen length diameter (SLD) were linked to clinical decompensation in individuals with viral cirrhosis. On the basis of these findings, a predictive model was developed

conclusionNoninvasive models utilizing SSM, LSM, and SLD are effective in predicting clinical decompensation among patients with viral cirrhosis, thereby reducing the need for unnecessary hepatic venous pressure gradient testing.

Indexed as

Elasticity Imaging TechniquesHypertension, PortalLiverLiver CirrhosisSpleenAdultAgedEsophageal and Gastric VaricesFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesTomography, X-Ray ComputedDecompensated cirrhosisLiver stiffness measurementNoninvasive prediction modelSpleen length diameterSpleen stiffness measurement

Identifiers

PMID40933462
PMCPMC12418019

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