{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T20:29:35Z","timestamp":1788380975161,"version":"build-2803163510"},"reference-count":30,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Viral Hepatitis"],"published-print":{"date-parts":[[2019,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>A noninvasive assessment method for acute or acute\u2010on\u2010chronic liver failure in patients with hepatitis E virus (HEV) infection is urgently needed. We aimed to develop a scoring model for diagnosing HEV patients who developed liver failure (HEV\u2010LF) at different stages. A cross\u2010sectional set of 350 HEV\u2010LF patients were identified and enrolled, and the Guidelines for Diagnosis and Treatment of Liver Failure in China and the Asian Pacific Association for the Study of the Liver were adopted as references. HEV\u2010LF<jats:sub>S<\/jats:sub>, a novel scoring model that incorporates data on cholinesterase (CHE), urea nitrogen (UREA), platelets and international normalized ratio was developed using a derived dataset. For diagnosing HEV\u2010LF stages F1 to F3, the HEV\u2010LF<jats:sub>S<\/jats:sub> scoring model (F1: 0.87; F2: 0.90; F3: 0.92) had a significantly higher AUROC than did the CLIF\u2010C\u2010ACLFs (F1: 0.65; F2: 0.56; F3: 0.51) and iMELD (F1: 0.70; F2: 0.57; F3: 0.51) scoring models, of which the HEV\u2010LF<jats:sub>S<\/jats:sub> scoring model had the best sensitivity and specificity. In addition, the HEV\u2010LF<jats:sub>S<\/jats:sub> scoring model was correlated with mortality, length of hospitalization and ICU stay. As the GDTLF score increased, the CHE level decreased and the UREA increased gradually. Encouragingly, a calibration curve showed good agreement between the derivation and validation sets. Notably, we also established a nomogram to facilitate the practical operability of the HEV\u2010LF<jats:sub>S<\/jats:sub> scoring model in clinical settings. In conclusion, both CHE and UREA may be indicators for HEV\u2010LF patients. The HEV\u2010LF<jats:sub>S<\/jats:sub> scoring model is an efficient and accessible model for classifying HEV\u2010LF at different stages.<\/jats:p>","DOI":"10.1111\/jvh.13174","type":"journal-article","created":{"date-parts":[[2019,7,11]],"date-time":"2019-07-11T11:01:49Z","timestamp":1562842909000},"page":"1334-1343","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["HEV\u2010LF<sub>S<\/sub>: A novel scoring model for patients with hepatitis E virus\u2010related liver failure"],"prefix":"10.1111","volume":"26","author":[{"given":"Jian","family":"Wu","sequence":"first","affiliation":[{"name":"State Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine Zhejiang University Hangzhou China"},{"name":"Department of Laboratory Medicine The First People\u2019s Hospital of Yancheng City Yancheng 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