Evidence map›Paper›PMID 41620630›Full record

ArticleEuropean journal of medical research2026

A novel nomogram based on inflammatory indexes for predicting short-term prognosis in acute-on-chronic liver failure: a comparison with classical models.

Zhenxing Li, Zixuan Wang, Jian Yang, Shucheng Du, Chao Zhang, Jiang Li, Yufeng Gao

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Article in European journal of medical research, 2026. 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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5 · Who and what money

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7 authors.

Zhenxing LiDepartment of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Zixuan WangDepartment of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Jian YangDepartment of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Shucheng DuDepartment of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Chao ZhangDepartment of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Jiang LiDepartment of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Yufeng GaoDepartment of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, China. aygyf@126.com.

Funding

Anhui Education Department Natural Science Foundation 2022AH040160Anhui Provincial Natural Science Foundation 2208085MH204Anhui Provincial Special Fund for Clinical Medical Research Transformation 202304295107020040Natural Science Foundation of China 82370608
6 · The paper itself

Abstract

backgroundThis study aimed to develop and validate a novel nomogram that incorporates the neutrophil percentage-to-albumin ratio (NPAR) for predicting 30-day and 90-day unfavorable outcomes in acute-on-chronic liver failure (ACLF) patients.

methodsWe retrospectively enrolled 641 ACLF patients from the First Affiliated Hospital of Anhui Medical University between January 2017 and June 2024, randomly assigning them to training (n = 448) and validation (n = 193) cohorts. Univariate Cox regression, the Least Absolute Shrinkage and Selection Operator (LASSO) regression, and multivariate Cox analysis identified seven independent predictors: bacterial infection, hepatic encephalopathy, age, prothrombin time (PT), total bilirubin (TBIL), lymphocyte count, and NPAR.

resultsThe nomogram demonstrated superior predictive performance in the training cohort, with area under the curve (AUC) values of 0.874 (95% CI 0.838-0.910) and 0.877 (95% CI 0.845-0.909) for 30-day and 90-day outcomes, respectively, and a concordance index (C-index) of 0.825 (95% CI 0.796-0.853), significantly outperforming the MELD, MELD-Na, CLIF-C ACLFs and COSSH-ACLF II scores. Calibration curves showed strong concordance between predicted and observed survival probabilities, and decision curve analysis confirmed broad clinical applicability. We have also validated the predictive value of the new model for ACLF in a validation cohort (n = 193). Compared with COSSH-ACLF II, the model exhibited significant improvements in net reclassification index (NRI) and integrated discrimination improvement (IDI) (P < 0.001). Risk stratification effectively categorized patients into low-, intermediate-, and high-risk groups, revealing varied survival rates. In addition, a user-friendly dynamic web-based calculator was developed.

conclusionsThis nomogram that integrates inflammatory and nutritional indicators provides a high-precision tool for short-term prognosis assessment in ACLF patients and is expected to guide clinical management.

Indexed as

Acute‐on‐chronic liver failureNeutrophil percentage-to-albumin ratioNomogramPrognosisRisk factor

Identifiers

PMID41620630
PMCPMC12947415

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