The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Prediction of biochemical nonresolution in patients with chronic drug‐induced liver injury: A large multicenter study
Abstract
Background and Aims: To clarify high‐risk factors and develop a nomogram model to predict biochemical resolution or biochemical nonresolution (BNR) in patients with chronic DILI. Approach and Results: Retrospectively, 3655 of 5326 patients with chronic DILI were enrolled from nine participating hospitals, of whom 2866 underwent liver biopsy. All of these patients were followed up for over 1 year and their clinical characteristics were retrieved from electronic medical records. The endpoint was BNR, defined as alanine aminotransferase or aspartate aminotransferase >1.5× upper limit of normal or alkaline phosphatase >1.1× ULN, at 12 months from chronic DILI diagnosis. The noninvasive high‐risk factors for BNR identified by multivariable logistic regression were used to establish a nomogram, which was validated in an independent external cohort. Finally, 19.3% (707 of 3655) patients presented with BNR. Histologically, with the increase in liver inflammation grades and fibrosis stages, the proportion of BNR significantly increased. The risk of BNR was increased by 21.3‐fold in patients with significant inflammation compared to none or mild inflammation (p < 0.001). Biochemically, aspartate aminotransferase and total bilirubin, platelets, prothrombin time, sex, and age were associated with BNR and incorporated to construct a nomogram model (BNR‐6) with a concordance index of 0.824 (95% CI, 0.798–0.849), which was highly consistent with liver histology. These results were successfully validated both in the internal cohort and external cohort. Conclusions: Significant liver inflammation is a robust predictor associated with biochemical nonresolution. The established BNR‐6 model provides an easy‐to‐use approach to assess the outcome of chronic DILI.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
High TBil and ALP levels in the second month after an acute DILI episode and the biochemical nonresolution-6 model may help predict the risk of chronic injury and delayed recovery.
“High TBil and ALP levels in the second month after an acute DILI episode and the biochemical nonresolution-6 model may help predict the risk of chronic injury and delayed recovery [26,72].”
From Chinese guideline for the diagnosis and treatment of drug-induced liver injury: an update (2024) · cites this paper as [72]
Citations
Cites
EASL Clinical Practice Guidelines: Drug-induced liver injury
Andrade, R. J., Aithal, G. P., Björnsson, E. S., Kaplowitz, N., Kullak-Ublick, G. A., Larrey, D., & Karlsen, T. H. (2019) · Journal of Hepatology · doi:10.1016/j.jhep.2019.02.014 · Cited by 1,276
EASL Clinical Practice Guidelines: autoimmune hepatitis
(2015) · Journal of Hepatology · doi:10.1016/j.jhep.2015.06.030 · Cited by 1,245
Lindor, K. D., Bowlus, C. L., Boyer, J., Levy, C., & Mayo, M. (2019) · Hepatology · doi:10.1002/hep.30145 · Cited by 913
Björnsson, E. S., Bergmann, O. M., Björnsson, H. K., Kvaran, R. B., & Olafsson, S. (2013) · Gastroenterology · doi:10.1053/j.gastro.2013.02.006 · Cited by 865
Drug-Induced Acute Liver Failure: Results of a U.S. Multicenter, Prospective Study
Reuben, A., Koch, D. G., & Lee, W. M. (2010) · Hepatology · doi:10.1002/hep.23937 · Cited by 772
Incidence and Etiology of Drug-Induced Liver Injury in Mainland China
Shen, T., Liu, Y., Shang, J., Xie, Q., Li, J., Yan, M., Xu, J., Niu, J., Liu, J., Watkins, P. B., et al. (2019) · Gastroenterology · doi:10.1053/j.gastro.2019.02.002 · Cited by 615
Self-citationACG clinical guideline: primary sclerosing cholangitis
Lindor, K. D., Kowdley, K. V., & Harrison, E. M. (2015) · American Journal of Gastroenterology · doi:10.1038/ajg.2015.112 · Cited by 524
Risk Factors for Idiosyncratic Drug-Induced Liver Injury
Chalasani, N., & Björnsson, E. (2010) · Gastroenterology · doi:10.1053/j.gastro.2010.04.001 · Cited by 347
Flagged first, then by citations
Research works printed but not linked: 31
- 2020, Managing the challenge of drug‐induced liver injury: a roadmap for the development and deployment of preclinical predictive models, Nat Rev Drug Discov, 19, 131, 10.1038/s41573-019-0048-x · DOI
- 2021, Chronic drug‐induced liver injury: updates and future challenges, Front Pharmacol, 12, 627133, 10.3389/fphar.2021.627133 · DOI
- 2017, Drug‐induced liver injury: recent advances in diagnosis and risk assessment, Gut, 66, 1154, 10.1136/gutjnl-2016-313369 · DOI · Paper page
- 2021, The LAC score indicates significant fibrosis in patients with chronic drug‐induced liver injury: a large biopsy‐based study, Front Pharmacol, 12, 734090, 10.3389/fphar.2021.734090 · DOI
- 2014, Idiosyncratic drug‐induced liver injury is associated with substantial morbidity and mortality within 6 months from onset, Gastroenterology, 147, 96, 10.1053/j.gastro.2014.03.045 · DOI · Paper page
- 2015, Persistent liver biochemistry abnormalities are more common in older patients and those with cholestatic drug induced liver injury, Am J Gastroenterol, 110, 1450, 10.1038/ajg.2015.283 · DOI
- 2016, Definition and risk factors for chronicity following acute idiosyncratic drug‐induced liver injury, J Hepatol, 65, 532, 10.1016/j.jhep.2016.05.003 · DOI · Paper page
- 2015, Features and outcomes of 899 patients with drug‐induced liver injury: the DILIN prospective study, Gastroenterology, 148, 1340, 10.1053/j.gastro.2015.03.006 · DOI · Paper page
- 2014, Practice parameters committee of the American college of gastroenterology. ACG clinical guideline: the diagnosis and management of idiosyncratic drug‐induced liver injury, Am J Gastroenterol, 109, 950, 10.1038/ajg.2014.131 · DOI · Paper page
- 2015, Risk of acute liver failure in patients with drug‐induced liver injury: evaluation of Hy’s Law and a new prognostic model, Clin Gastroenterol Hepatol, 13, 2360, 10.1016/j.cgh.2015.06.020 · DOI
- 2015, Clinical and histologic features of azithromycin‐induced liver injury, Clin Gastroenterol Hepatol, 13, 369, 10.1016/j.cgh.2014.07.054 · DOI
- 2019, Candidate biomarkers for the diagnosis and prognosis of drug‐induced liver injury: an international collaborative effort, Hepatology, 69, 760, 10.1002/hep.29802 · DOI · Paper page
- 2018, Herbal and dietary supplement‐induced liver injuries in the Spanish DILI registry, Clin Gastroenterol Hepatol, 16, 1495, 10.1016/j.cgh.2017.12.051 · DOI · Paper page
- 2021, A high serum level of taurocholic acid is correlated with the severity and resolution of drug‐induced liver injury, Clin Gastroenterol Hepatol, 19, 1009, 10.1016/j.cgh.2020.06.067 · DOI
- 2018, Development and validation of a test to identify drugs that cause idiosyncratic drug‐induced liver injury, Clin Gastroenterol Hepatol, 16, 1488, 10.1016/j.cgh.2018.04.049 · DOI · Paper page
- 2017, The histopathological evaluation of drug‐induced liver injury, Histopathology, 70, 81, 10.1111/his.13082 · DOI
- 2017, New classification of liver biopsy assessment for fibrosis in chronic hepatitis B patients before and after treatment, Hepatology, 65, 1438, 10.1002/hep.29009 · DOI
- 1981, Formulation and application of a numerical scoring system for assessing histological activity in asymptomatic chronic active hepatitis, Hepatology, 1, 431, 10.1002/hep.1840010511 · DOI
- 1995, Histological grading and staging of chronic hepatitis, J Hepatol, 22, 696, 10.1016/0168-8278(95)80226-6 · DOI
- 2021, Risk stratification based on chronic liver failure consortium acute decompensation score in patients with Child‐Pugh B cirrhosis and acute variceal bleeding, Hepatology, 73, 1478, 10.1002/hep.31478 · DOI
- 2021, Refitting the model for end‐stage liver disease for the Eurotransplant region, Hepatology, 74, 351, 10.1002/hep.31677 · DOI
- 2019, Development and validation of NTCP models for acute side‐effects resulting from proton beam therapy of brain tumours, Radiother Oncol, 130, 164, 10.1016/j.radonc.2018.06.036 · DOI
- 2017, Death and liver transplantation within 2 years of onset of drug‐induced liver injury, Hepatology, 66, 1275, 10.1002/hep.29283 · DOI · Paper page
- 2017, Clinical presentations and outcomes of bile duct loss caused by drugs and herbal and dietary supplements, Hepatology, 65, 1267, 10.1002/hep.28967 · DOI · Paper page
- 2014, Hepatic histological findings in suspected drug‐induced liver injury: systematic evaluation and clinical associations, Hepatology, 59, 661, 10.1002/hep.26709 · DOI · Paper page
- 2014, Use of Hy’s law and a new composite algorithm to predict acute liver failure in patients with drug‐induced liver injury, Gastroenterology, 147, 109, 10.1053/j.gastro.2014.03.050 · DOI · Paper page
- 2010, Pharmacogenetics of drug‐induced liver injury, Hepatology, 52, 748, 10.1002/hep.23720 · DOI
- 2021, Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI, J Hepatol, 75, 333, 10.1016/j.jhep.2021.03.021 · DOI
- 2017, Acetaminophen (APAP) hepatotoxicity—isn’t it time for APAP to go away?, J Hepatol, 67, 1324, 10.1016/j.jhep.2017.07.005 · DOI
- 2017, Idiosyncratic drug induced liver injury in African‐Americans is associated with greater morbidity and mortality compared to Caucasians: a randomized controlled trial, Am J Gastroenterol, 112, 1382, 10.1038/ajg.2017.215 · DOI · Paper page
- 2019, Noninvasive assessment of liver disease in patients with nonalcoholic fatty liver disease, Gastroenterology, 156, 1264, 10.1053/j.gastro.2018.12.036 · DOI · Paper page
Cited by
Sorted by citations
Chinese guideline for the diagnosis and treatment of drug-induced liver injury: an update
Mao, Y., Ma, S., Liu, C., Liu, X., Su, M., Li, D., Li, Y., Chen, G., Chen, J., Chen, J., et al. (2024) · Hepatology International · doi:10.1007/s12072-023-10633-7 · Cited by 62
Self-citationXiong, Y.-T., Wang, J.-F., Li, L., Bai, Z.-F., Liu, Y., Huang, A., Wang, K.-X., Fu, Y., Yang, W., Guo, C., et al. (2024) · iLIVER · doi:10.1016/j.iliver.2024.100095 · Cited by 6
Self-citation
Metadata
- Authors
- Wang, C., Deng, Y., Li, P., Zheng, S., Chen, G., Zhou, G., Xu, J., Chen, Y., Wang, Z., Jin, X., Tang, J., Hu, K., Bi, J., Zhang, P., Li, C., Huang, A., Lv, G., Xiao, X., Zou, Z., & Ji, D.
- Venue
- Hepatology
- Published
- 2022-01-06
- Volume
- 75
- Issue
- 6
- Pages
- 1373-1385
- ISSN
- 0270-9139
- 1527-3350
- Cited by
- 28
- References
- 8
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review