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Updated: Apr 9, 2026

Separation of Immune Cell Subpopulations in Peripheral Blood Samples from Children with Infectious Mononucleosis
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Separation of Immune Cell Subpopulations in Peripheral Blood Samples from Children with Infectious Mononucleosis

Published on: September 7, 2022

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A Nomogram Model to Predict the Risk of Concurrent Liver Injury in Pediatric Patients with Infectious Mononucleosis

Zhilong Liu, Li Xiao, Chuanli Gao

    Clinical Laboratory
    |April 7, 2026
    PubMed

    Insights

    A new nomogram effectively predicts liver injury in children with infectious mononucleosis (IM). This tool aids early risk identification for better outcomes in pediatric IM patients.

    Area of Science:

    • Pediatric Infectious Diseases
    • Hepatology
    • Clinical Prediction Modeling

    Background:

    • Infectious mononucleosis (IM), caused by Epstein-Barr virus (EBV), frequently affects children and can lead to liver injury.
    • Early identification of liver injury risk in pediatric IM is critical for timely intervention and improved prognosis.

    Purpose of the Study:

    • To develop and validate a nomogram model for predicting the risk of concurrent liver injury in pediatric patients diagnosed with IM.
    • To identify independent risk factors associated with liver injury in children with IM.

    Main Methods:

    • A retrospective study of 202 pediatric IM patients, divided into liver injury (ALT > 50 U/L) and control (ALT < 50 U/L) groups.
    • Multivariable logistic regression analysis to identify independent risk factors.
    • Construction and validation of a nomogram prediction model using identified risk factors.

    Main Results:

    • The incidence of liver injury in pediatric IM patients was 57.42%.
    • Independent risk factors for liver injury included platelet distribution width (PDW), uric acid (UA), beta2-microglobulin (β2-MG), atypical lymphocytes, and interleukin-6 (IL-6).
    • The nomogram demonstrated high predictive accuracy (C-index: 0.942, AUC: 0.960) and clinical utility.

    Conclusions:

    • The developed nomogram model is effective in predicting the risk of concurrent liver injury in pediatric patients with IM.
    • This predictive tool can aid clinicians in managing pediatric IM cases with potential liver complications.
    Abstract

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