{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T12:56:52Z","timestamp":1780145812279,"version":"3.54.0"},"reference-count":25,"publisher":"Baishideng Publishing Group Inc.","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["World J Hepatol"],"abstract":"<jats:p>BACKGROUND<\/jats:p>\n                  <jats:p>Chronic hepatitis B (CHB) is a leading cause of liver-related mortality, progressing to fibrosis, cirrhosis, and hepatocellular carcinoma. Existing noninvasive tools (e.g. , aspartate aminotransferase to platelet ratio index, fibrosis-4 index, liver stiffness measurement) and invasive liver biopsy have limitations in assessing evident histological liver injury (EHLI), highlighting the need for novel predictive models.<\/jats:p>\n                  <jats:p>AIM<\/jats:p>\n                  <jats:p>To develop and validate a predictive model for EHLI in CHB patients using a cohort from Hunan Province, China, to facilitate early risk identification and optimize resource allocation.<\/jats:p>\n                  <jats:p>METHODS<\/jats:p>\n                  <jats:p>This observational real-world study enrolled 223 CHB patients (August 2020 to March 2022) from the Second Xiangya Hospital, divided into development (n  = 159) and validation (n  = 64) cohorts (7:3 ratio). EHLI was defined as Ishak fibrosis stage \u2265 3 and\/or histologic activity index \u2265 9. Variables were screened via  univariable logistic regression and least absolute shrinkage and selection operator regression, and a multivariable logistic regression model and nomogram were constructed. Performance was evaluated using area under the curve (AUC), calibration plots, Hosmer-Lemeshow test, and decision curve analysis (DCA). Gene expression profiles were analyzed to identify immune-related pathways.<\/jats:p>\n                  <jats:p>RESULTS<\/jats:p>\n                  <jats:p>L59, platelet count (PLT), alanine transaminase (ALT), and aspartate transaminase (AST) were identified as independent predictors of EHLI. The model showed high discriminative ability, with AUC of 0.921 [95% confidence interval (CI): 0.880-0.963] in the development cohort and 0.959 (95%CI: 0.910-1.0) in the validation cohort, demonstrating a 20%-32% relative improvement in AUC over conventional noninvasive scores. Calibration plots demonstrated good agreement between predicted and observed EHLI, and DCA confirmed clinical utility (threshold probabilities: 20%-80%). Transcriptomic analysis identified 210 differentially expressed genes, with hub genes (e.g. , COL1A2 ) and transforming growth factor-\u03b2\/Smad pathway involvement linked to liver injury.<\/jats:p>\n                  <jats:p>CONCLUSION<\/jats:p>\n                  <jats:p>A novel nomogram incorporating L59, PLT, ALT, and AST robustly predicts EHLI in CHB patients. This model, using routinely measured variables, aids clinical decision-making and optimizes resource allocation.<\/jats:p>","DOI":"10.4254\/wjh.v18.i2.113348","type":"journal-article","created":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T02:36:03Z","timestamp":1770863763000},"source":"Crossref","is-referenced-by-count":1,"title":["Predictive tool for evident histological liver injury in chronic hepatitis B patients: Development and validation"],"prefix":"10.4254","volume":"18","author":[{"given":"Zhong-Shang","family":"Dai","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong-Fang","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2060","published-online":{"date-parts":[[2026,2,27]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1016\/S2468-1253(18)30056-6"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1097\/HEP.0000000000000524"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1002\/hep.29800"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1136\/gutjnl-2023-330389"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1155\/2023\/4424718"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/8945798"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhep.2021.12.022"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhep.2020.09.034"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.1002\/hep.22742"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhep.2022.10.034"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ebiom.2021.103389"},{"key":"B12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhep.2019.01.037"},{"key":"B13","doi-asserted-by":"publisher","DOI":"10.1002\/hep.21669"},{"key":"B14","doi-asserted-by":"publisher","DOI":"10.1002\/hep.20772"},{"key":"B15","doi-asserted-by":"publisher","DOI":"10.1016\/0168-8278(95)80226-6"},{"key":"B16","doi-asserted-by":"publisher","DOI":"10.1016\/s0168-8278(02)00357-4"},{"key":"B17","doi-asserted-by":"publisher","DOI":"10.1111\/apt.16067"},{"key":"B18","doi-asserted-by":"publisher","DOI":"10.1038\/s41575-022-00724-5"},{"key":"B19","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhep.2022.02.022"},{"key":"B20","doi-asserted-by":"publisher","DOI":"10.1111\/liv.15718"},{"key":"B21","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhep.2022.10.030"},{"key":"B22","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhep.2023.09.011"},{"key":"B23","doi-asserted-by":"publisher","DOI":"10.1016\/S2214-109X(23)00263-2"},{"key":"B24","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhep.2021.09.009"},{"key":"B25","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2019.e01231"}],"container-title":["World Journal of Hepatology"],"original-title":[],"link":[{"URL":"https:\/\/www.wjgnet.com\/1948-5182\/full\/v18\/i2\/113348.htm","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.wjgnet.com\/1948-5182\/full\/v18\/i2\/113348.htm","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T02:36:15Z","timestamp":1770863775000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.wjgnet.com\/1948-5182\/full\/v18\/i2\/113348.htm"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,27]]},"references-count":25,"journal-issue":{"issue":"2"},"alternative-id":["113348"],"URL":"https:\/\/doi.org\/10.4254\/wjh.v18.i2.113348","relation":{},"ISSN":["1948-5182"],"issn-type":[{"value":"1948-5182","type":"print"}],"subject":[],"published":{"date-parts":[[2026,2,27]]}}}